1
|
van Voorst H, Hoving JW, Koopman MS, Daems JD, Peerlings D, Buskens E, Lingsma H, Marquering HA, de Jong HWAM, Berkhemer OA, van Zwam WH, van Walderveen MAA, van den Wijngaard IR, Dippel DWJ, Yoo AJ, Campbell B, Kunz WG, Majoie CB, Emmer BJ. Costs and health effects of CT perfusion-based selection for endovascular thrombectomy within 6 hours of stroke onset: a model-based health economic evaluation. J Neurol Neurosurg Psychiatry 2024; 95:515-527. [PMID: 38124162 DOI: 10.1136/jnnp-2023-331862] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2023] [Accepted: 11/19/2023] [Indexed: 12/23/2023]
Abstract
BACKGROUND Although CT perfusion (CTP) is often incorporated in acute stroke workflows, it remains largely unclear what the associated costs and health implications are in the long run of CTP-based patient selection for endovascular treatment (EVT) in patients presenting within 6 hours after symptom onset with a large vessel occlusion. METHODS Patients with a large vessel occlusion were included from a Dutch nationwide cohort (n=703) if CTP imaging was performed before EVT within 6 hours after stroke onset. Simulated cost and health effects during 5 and 10 years follow-up were compared between CTP based patient selection for EVT and providing EVT to all patients. Outcome measures were the net monetary benefit at a willingness-to-pay of €80 000 per quality-adjusted life year, incremental cost-effectiveness ratio), difference in costs from a healthcare payer perspective (ΔCosts) and quality-adjusted life years (ΔQALY) per 1000 patients for 1000 model iterations as outcomes. RESULTS Compared with treating all patients, CTP-based selection for EVT at the optimised ischaemic core volume (ICV≥110 mL) or core-penumbra mismatch ratio (MMR≤1.4) thresholds resulted in losses of health (median ΔQALYs for ICV≥110 mL: -3.3 (IQR: -5.9 to -1.1), for MMR≤1.4: 0.0 (IQR: -1.3 to 0.0)) with median ΔCosts for ICV≥110 mL of -€348 966 (IQR: -€712 406 to -€51 158) and for MMR≤1.4 of €266 513 (IQR: €229 403 to €380 110)) per 1000 patients. Sensitivity analyses did not yield any scenarios for CTP-based selection of patients for EVT that were cost-effective for improving health, including patients aged ≥80 years CONCLUSION: In EVT-eligible patients presenting within 6 hours after symptom onset, excluding patients based on CTP parameters was not cost-effective and could potentially harm patients.
Collapse
Affiliation(s)
- Henk van Voorst
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location AMC, Amsterdam, North Holland, The Netherlands
- Department of Biomedical Engineering and Physics, Amsterdam UMC location University of Amsterdam, Amsterdam, The Netherlands
| | - Jan W Hoving
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location AMC, Amsterdam, North Holland, The Netherlands
| | - Miou S Koopman
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location AMC, Amsterdam, North Holland, The Netherlands
| | - Jasper D Daems
- Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands
- Department of Public Health, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Daan Peerlings
- Department of Radiology, University Medical Center Utrecht, Utrecht, Utrecht, The Netherlands
| | - Erik Buskens
- Epidemiology, University Medical Centre Groningen, Groningen, Groningen, The Netherlands
| | - Hester Lingsma
- Public Health, Erasmus University Medical Center, Rotterdam, The Netherlands
| | - Henk A Marquering
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location AMC, Amsterdam, North Holland, The Netherlands
- Biomedical Engineering and Physics, Amsterdam UMC Location AMC, Amsterdam, North Holland, The Netherlands
| | | | - Olvert A Berkhemer
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Wim H van Zwam
- Radiology, Maastricht University Medical Center, Maastricht, The Netherlands
| | | | - Ido R van den Wijngaard
- Neurology, HMC Westeinde, The Hague, Zuid-Holland, The Netherlands
- Neurology, Leiden University, Leiden, The Netherlands
| | | | - Albert J Yoo
- Neurointervention, Texas Stroke Institute, Plano, Texas, USA
| | - Bruce Campbell
- The Royal Melbourne Hospital, Parkville, Melbourne, Australia
| | | | - Charles B Majoie
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location AMC, Amsterdam, North Holland, The Netherlands
| | - Bart J Emmer
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location AMC, Amsterdam, North Holland, The Netherlands
| |
Collapse
|
2
|
Rasing I, Voigt S, Koemans EA, de Kort AM, van Harten TW, van Etten ES, van Zwet EW, Stoops E, Francois C, Kuiperij BH, Klijn CJM, Schreuder FHBM, van der Weerd L, van Osch MJP, van Walderveen MAA, Verbeek MM, Terwindt GM, Wermer MJH. Serum and cerebrospinal fluid neurofilament light chain and glial fibrillary acid protein levels in early and advanced stages of cerebral amyloid Angiopathy. Alzheimers Res Ther 2024; 16:86. [PMID: 38654326 PMCID: PMC11036675 DOI: 10.1186/s13195-024-01457-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Accepted: 04/12/2024] [Indexed: 04/25/2024]
Abstract
BACKGROUND Neurofilament light chain (NFL) is a biomarker for neuroaxonal damage and glial fibrillary acidic protein (GFAP) for reactive astrocytosis. Both processes occur in cerebral amyloid angiopathy (CAA), but studies investigating the potential of NFL and GFAP as markers for CAA are lacking. We aimed to investigate NFL and GFAP as biomarkers for neuroaxonal damage and astrocytosis in CAA. METHODS For this cross-sectional study serum and cerebrospinal fluid (CSF) samples were collected between 2010 and 2020 from controls, (pre)symptomatic Dutch-type hereditary (D-CAA) mutation-carriers and participants with sporadic CAA (sCAA) from two prospective CAA studies at two University hospitals in the Netherlands. NFL and GFAP levels were measured with Simoa-assays. The association between NFL and GFAP levels and age, cognitive performance (MoCA), CAA-related MRI markers (CAA-CSVD-burden) and Aβ40 and Aβ42 levels in CSF were assessed with linear regression adjusted for confounders. The control group was divided in age < 55 and ≥55 years to match the specific groups. RESULTS We included 187 participants: 28 presymptomatic D-CAA mutation-carriers (mean age 40 years), 29 symptomatic D-CAA participants (mean age 58 years), 59 sCAA participants (mean age 72 years), 33 controls < 55 years (mean age 42 years) and 38 controls ≥ 55 years (mean age 65 years). In presymptomatic D-CAA, only GFAP in CSF (7.7*103pg/mL vs. 4.4*103pg/mL in controls; P<.001) was increased compared to controls. In symptomatic D-CAA, both serum (NFL:26.2pg/mL vs. 12.5pg/mL; P=0.008, GFAP:130.8pg/mL vs. 123.4pg/mL; P=0.027) and CSF (NFL:16.8*102pg/mL vs. 7.8*102pg/mL; P=0.01 and GFAP:11.4*103pg/mL vs. 7.5*103pg/mL; P<.001) levels were higher than in controls and serum levels (NFL:26.2pg/mL vs. 6.7pg/mL; P=0.05 and GFAP:130.8pg/mL vs. 66.0pg/mL; P=0.004) were higher than in pre-symptomatic D-CAA. In sCAA, only NFL levels were increased compared to controls in both serum (25.6pg/mL vs. 12.5pg/mL; P=0.005) and CSF (20.0*102pg/mL vs 7.8*102pg/mL; P=0.008). All levels correlated with age. Serum NFL correlated with MoCA (P=0.008) and CAA-CSVD score (P<.001). NFL and GFAP in CSF correlated with Aβ42 levels (P=0.01/0.02). CONCLUSIONS GFAP level in CSF is an early biomarker for CAA and is increased years before symptom onset. NFL and GFAP levels in serum and CSF are biomarkers for advanced CAA.
Collapse
Affiliation(s)
- Ingeborg Rasing
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands.
| | - Sabine Voigt
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Emma A Koemans
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Anna M de Kort
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Thijs W van Harten
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Ellis S van Etten
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Erik W van Zwet
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
| | | | | | - Bea H Kuiperij
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Catharina J M Klijn
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Floris H B M Schreuder
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Louise van der Weerd
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
| | | | | | - Marcel M Verbeek
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, The Netherlands
- Department of Laboratory Medicine, Radboud University Medical Center, Nijmegen, The Netherlands
| | - Gisela M Terwindt
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Marieke J H Wermer
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Neurology, University Medical Center Groningen, Groningen, The Netherlands
| |
Collapse
|
3
|
van Voorst H, Hoving JW, Koopman MS, Daems JD, Peerlings D, Buskens E, Lingsma HF, Beenen LFM, de Jong HWAM, Berkhemer OA, van Zwam WH, Roos YBWEM, van Walderveen MAA, van den Wijngaard I, Dippel DWJ, Yoo AJ, Campbell BCV, Kunz WG, Emmer BJ, Majoie CBLM. Cost-effectiveness of CT perfusion for the detection of large vessel occlusion acute ischemic stroke followed by endovascular treatment: a model-based health economic evaluation study. Eur Radiol 2024; 34:2152-2167. [PMID: 37728778 PMCID: PMC10957700 DOI: 10.1007/s00330-023-10119-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/16/2023] [Revised: 06/22/2023] [Accepted: 07/01/2023] [Indexed: 09/21/2023]
Abstract
OBJECTIVES CT perfusion (CTP) has been suggested to increase the rate of large vessel occlusion (LVO) detection in patients suspected of acute ischemic stroke (AIS) if used in addition to a standard diagnostic imaging regime of CT angiography (CTA) and non-contrast CT (NCCT). The aim of this study was to estimate the costs and health effects of additional CTP for endovascular treatment (EVT)-eligible occlusion detection using model-based analyses. METHODS In this Dutch, nationwide retrospective cohort study with model-based health economic evaluation, data from 701 EVT-treated patients with available CTP results were included (January 2018-March 2022; trialregister.nl:NL7974). We compared a cohort undergoing NCCT, CTA, and CTP (NCCT + CTA + CTP) with a generated counterfactual where NCCT and CTA (NCCT + CTA) was used for LVO detection. The NCCT + CTA strategy was simulated using diagnostic accuracy values and EVT effects from the literature. A Markov model was used to simulate 10-year follow-up. We adopted a healthcare payer perspective for costs in euros and health gains in quality-adjusted life years (QALYs). The primary outcome was the net monetary benefit (NMB) at a willingness to pay of €80,000; secondary outcomes were the difference between LVO detection strategies in QALYs (ΔQALY) and costs (ΔCosts) per LVO patient. RESULTS We included 701 patients (median age: 72, IQR: [62-81]) years). Per LVO patient, CTP-based occlusion detection resulted in cost savings (ΔCosts median: € - 2671, IQR: [€ - 4721; € - 731]), a health gain (ΔQALY median: 0.073, IQR: [0.044; 0.104]), and a positive NMB (median: €8436, IQR: [5565; 11,876]) per LVO patient. CONCLUSION CTP-based screening of suspected stroke patients for an endovascular treatment eligible large vessel occlusion was cost-effective. CLINICAL RELEVANCE STATEMENT Although CTP-based patient selection for endovascular treatment has been recently suggested to result in worse patient outcomes after ischemic stroke, an alternative CTP-based screening for endovascular treatable occlusions is cost-effective. KEY POINTS • Using CT perfusion to detect an endovascular treatment-eligible occlusions resulted in a health gain and cost savings during 10 years of follow-up. • Depending on the screening costs related to the number of patients needed to image with CT perfusion, cost savings could be considerable (median: € - 3857, IQR: [€ - 5907; € - 1916] per patient). • As the gain in quality adjusted life years was most affected by the sensitivity of CT perfusion-based occlusion detection, additional studies for the diagnostic accuracy of CT perfusion for occlusion detection are required.
Collapse
Affiliation(s)
- Henk van Voorst
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, the Netherlands.
- Department of Biomedical Engineering and Physics, Amsterdam UMC Location University of Amsterdam, Amsterdam, the Netherlands.
| | - Jan W Hoving
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, the Netherlands
| | - Miou S Koopman
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, the Netherlands
| | - Jasper D Daems
- Department of Public Health, Erasmus University Medical Center, Rotterdam, the Netherlands
- Department of Neurology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Daan Peerlings
- Department of Biomedical Engineering and Physics, Amsterdam UMC Location University of Amsterdam, Amsterdam, the Netherlands
- Department of Radiology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Erik Buskens
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Hester F Lingsma
- Department of Public Health, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Ludo F M Beenen
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, the Netherlands
| | - Hugo W A M de Jong
- Department of Radiology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Olvert A Berkhemer
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, the Netherlands
- Department of Epidemiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
- Department of Radiology and Nuclear Medicine, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Wim H van Zwam
- Department of Radiology and Nuclear Medicine, Cardiovascular Research Institute Maastricht (CARIM), Maastricht University Medical Center+, Maastricht, the Netherlands
| | - Yvo B W E M Roos
- Department of Neurology, Amsterdam UMC Location University of Amsterdam, Amsterdam, the Netherlands
| | | | | | - Diederik W J Dippel
- Department of Neurology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Albert J Yoo
- Department of Radiology, Texas Stroke Institute, Dallas-Fort Worth, TX, USA
| | - Bruce C V Campbell
- Department of Medicine and Neurology, Melbourne Brain Center, Royal Melbourne Hospital, University of Melbourne, Melbourne, Australia
| | - Wolfgang G Kunz
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | - Bart J Emmer
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, the Netherlands
| | - Charles B L M Majoie
- Department of Radiology and Nuclear Medicine, Amsterdam UMC Location University of Amsterdam, Meibergdreef 9, 1105 AZ, Amsterdam, the Netherlands
| |
Collapse
|
4
|
Ali M, Dekker L, Ali M, Van Zwet EW, Hofmeijer J, Nederkoorn PJ, Majoie CB, van Es AC, Uyttenboogaart M, van der Meij A, van Walderveen MAA, Visser MC, Dippel DW, Schonewille WJ, van den Wijngaard IR, Kruyt ND, Wermer MJH. Sex differences in outcomes after endovascular treatment in posterior circulation stroke: results from the MR CLEAN Registry. J Neurointerv Surg 2024:jnis-2023-021086. [PMID: 38171605 DOI: 10.1136/jnis-2023-021086] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/03/2023] [Accepted: 12/05/2023] [Indexed: 01/05/2024]
Abstract
BACKGROUND Women with anterior circulation large vessel occlusion (LVO) have been reported to have worse outcomes after endovascular treatment (EVT) than men. Whether these disparities also exist in LVO of the posterior circulation is yet uncertain. We assessed sex differences in clinical, technical, and safety outcomes of EVT in posterior circulation LVO. METHODS We used data of patients with posterior circulation LVO included in the Multicenter Randomized Clinical Trial of Endovascular Treatment for Acute Ischemic Stroke in the Netherlands (MR CLEAN) Registry (2014-2018). Primary outcome was the modified Rankin Scale (mRS) score at 90 days assessed with multivariable ordinal regression analysis. Secondary outcomes included favorable functional outcome (mRS ≤3), functional independence (mRS ≤2), death within 90 days, National Institutes of Health Stroke Scale (NIHSS) score 24-48 hours postintervention, complications, successful reperfusion (extended Thrombolysis in Cerebral Ischemia 2B-3), and procedure duration analyzed with multivariable logistic and linear regression analyses. RESULTS We included 264 patients (42% women). Compared with men, women were older (median age 68 vs 63 years), more often had prestroke disability (mRS ≥1: 37% vs 30%), and received intravenous thrombolytics less often (45% vs 56%). Clinical outcomes were similar between sexes (adjusted (common) OR (aOR) 0.82, 95% CI 0.51 to 1.34; favorable functional outcome 50% vs 43%, aOR 1.31, 95% CI 0.77 to 2.25; death 32% vs 29%, aOR 0.98, 95% CI 0.52 to 1.84). In addition, NIHSS score after 24-48 hours (median 7 vs 9), successful reperfusion (77% vs 73%), and complications did not differ between men and women. CONCLUSIONS Outcomes in women treated with EVT for posterior circulation LVO were similar compared with men despite less favorable baseline characteristics in women. Therefore men and women may benefit equally from EVT.
Collapse
Affiliation(s)
- Mariam Ali
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Luuk Dekker
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Mahsoem Ali
- Department of Surgery, Amsterdam UMC, Location VUmc, Amsterdam, The Netherlands
| | - Erik W Van Zwet
- Department of Medical Statistics, Leiden University Medical Center, Leiden, The Netherlands
| | - Jeanette Hofmeijer
- Department of Neurology, Rijnstate Hospital, Arnhem, The Netherlands
- Clinical Neurophysiology, Faculty of Science and Technology, University of Twente, Enschede, The Netherlands
| | - Paul J Nederkoorn
- Department of Neurology, Amsterdam UMC, Location AMC, Amsterdam, The Netherlands
| | - Charles Blm Majoie
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, Location AMC, Amsterdam, The Netherlands
| | - Adriaan Cgm van Es
- Department of Radiology and Nuclear Medicine, Leiden University Medical Center, Leiden, The Netherlands
| | - Maarten Uyttenboogaart
- Department of Neurology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - Anne van der Meij
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Neurology, Amsterdam UMC, Location AMC, Amsterdam, The Netherlands
| | | | - Marieke C Visser
- Department of Neurology, Amsterdam UMC, Location AMC, Amsterdam, The Netherlands
| | - Diederik Wj Dippel
- Department of Neurology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | | | - Ido R van den Wijngaard
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Neurology, Haaglanden Medical Center, The Hague, The Netherlands
| | - Nyika D Kruyt
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Marieke J H Wermer
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
- Department of Neurology, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| |
Collapse
|
5
|
Ali M, van der Meij A, van Os HJA, Ali M, Van Zwet EW, Spaander FHM, Hofmeijer J, Nederkoorn PJ, van den Wijngaard IR, Majoie CBLM, van Es ACGM, Schonewille WJ, van Walderveen MAA, Dippel DWJ, Visser MC, Kruyt ND, Wermer MJH. Sex differences in onset to hospital arrival time, prestroke disability, and clinical symptoms in patients with a large vessel occlusion: a MR CLEAN Registry substudy. J Neurointerv Surg 2023; 15:e255-e261. [PMID: 36379704 DOI: 10.1136/jnis-2022-019670] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2022] [Accepted: 10/27/2022] [Indexed: 11/16/2022]
Abstract
BACKGROUND Women have been reported to have worse outcomes after endovascular treatment (EVT), despite a similar treatment effect in non-clinical trial populations. We aimed to assess sex differences at hospital presentation with respect to workflow metrics, prestroke disability, and presenting clinical symptoms. METHODS We included consecutive patients from the Multicentre Randomised Controlled Trial of Endovascular Treatment for Acute Ischaemic Stroke in The Netherlands (MR CLEAN) Registry (2014-2018) who received EVT for anterior circulation large vessel occlusion (LVO). We assessed sex differences in workflow metrics, prestroke disability (modified Rankin Scale (mRS) score ≥1), and stroke severity and symptoms according to the National Institutes of Health Stroke Scale (NIHSS) score on hospital admission with logistic and linear regression analyses and calculated the adjusted OR (aOR). RESULTS We included 4872 patients (47.6% women). Compared with men, women were older (median age 76 vs 70 years) and less often achieved good functional outcome at 90 days (mRS ≤2: 35.2% vs 46.4%, aOR 0.70, 95% CI 0.60 to 0.82). Mean onset-to-door time was longer in women (2 hours 16 min vs 2 hours 7 min, adjusted delay 9 min, 95% CI 4 to 13). This delay contributed to longer onset-to-groin times (3 hours 26 min in women vs 3 hours 13 min in men, adjusted delay 13 min, 95% CI 9 to 17). Women more often had prestroke disability (mRS ≥1: 41.1% vs 29.1%, aOR 1.57, 95% CI 1.36 to 1.82). NIHSS on admission was essentially similar in men and women (mean 15±6 vs 15±6, NIHSS <10 vs ≥10, aOR 0.91, 95% CI 0.78 to 1.06). There were no clear sex differences in the occurrence of specific stroke symptoms. CONCLUSION Women with LVO had longer onset-to-door times and more often prestroke disability than men. Raising awareness of these differences at hospital presentation and investigating underlying causes may help to improve outcome after EVT in women.
Collapse
Affiliation(s)
- Mariam Ali
- Neurology, Amsterdam UMC, Location VUmc, Amsterdam, The Netherlands
| | - Anne van der Meij
- Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Mahsoem Ali
- Surgery, Amsterdam UMC, Location VUmc, Amsterdam, Netherlands
| | - Erik W Van Zwet
- Medical Statistics, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Jeanette Hofmeijer
- Neurology, Rijnstate Hospital, Arnhem, The Netherlands
- University of Twente Faculty of Science and Technology, Enschede, The Netherlands
| | | | - Ido R van den Wijngaard
- Neurology, Leiden University Medical Center, Leiden, The Netherlands
- Neurology, HMC Westeinde, The Hague, The Netherlands
| | - Charles B L M Majoie
- Radiology and Nuclear Medicine, Amsterdam UMC, Location AMC, Amsterdam, The Netherlands
| | - Adriaan C G M van Es
- Radiology and Nuclear Medicine, Leiden University Medical Center, Leiden, The Netherlands
| | | | | | | | - Marieke C Visser
- Neurology, Amsterdam UMC, Location VUmc, Amsterdam, The Netherlands
| | - Nyika D Kruyt
- Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | | |
Collapse
|
6
|
Koemans EA, Chhatwal JP, van Veluw SJ, van Etten ES, van Osch MJP, van Walderveen MAA, Sohrabi HR, Kozberg MG, Shirzadi Z, Terwindt GM, van Buchem MA, Smith EE, Werring DJ, Martins RN, Wermer MJH, Greenberg SM. Progression of cerebral amyloid angiopathy: a pathophysiological framework. Lancet Neurol 2023; 22:632-642. [PMID: 37236210 DOI: 10.1016/s1474-4422(23)00114-x] [Citation(s) in RCA: 20] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2022] [Revised: 02/21/2023] [Accepted: 03/14/2023] [Indexed: 05/28/2023]
Abstract
Cerebral amyloid angiopathy, which is defined by cerebrovascular deposition of amyloid β, is a common age-related small vessel pathology associated with intracerebral haemorrhage and cognitive impairment. Based on complementary lines of evidence from in vivo studies of individuals with hereditary, sporadic, and iatrogenic forms of cerebral amyloid angiopathy, histopathological analyses of affected brains, and experimental studies in transgenic mouse models, we present a framework and timeline for the progression of cerebral amyloid angiopathy from subclinical pathology to the clinical manifestation of the disease. Key stages that appear to evolve sequentially over two to three decades are (stage one) initial vascular amyloid deposition, (stage two) alteration of cerebrovascular physiology, (stage three) non-haemorrhagic brain injury, and (stage four) appearance of haemorrhagic brain lesions. This timeline of stages and the mechanistic processes that link them have substantial implications for identifying disease-modifying interventions for cerebral amyloid angiopathy and potentially for other cerebral small vessel diseases.
Collapse
Affiliation(s)
- Emma A Koemans
- Department of Neurology and Department of Radiology, Leiden University Medical Center, Leiden, Netherlands
| | - Jasmeer P Chhatwal
- Department of Neurology and Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Susanne J van Veluw
- Department of Neurology and Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Ellis S van Etten
- Department of Neurology and Department of Radiology, Leiden University Medical Center, Leiden, Netherlands
| | - Matthias J P van Osch
- Department of Neurology and Department of Radiology, Leiden University Medical Center, Leiden, Netherlands
| | | | - Hamid R Sohrabi
- Centre for Healthy Ageing, Health Future Institute, Murdoch University, Perth, WA, Australia; Department of Biomedical Sciences, Macquarie University, North Ryde, NSW, Australia
| | - Mariel G Kozberg
- Department of Neurology and Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Zahra Shirzadi
- Department of Neurology and Department of Radiology, Massachusetts General Hospital, Boston, MA, USA
| | - Gisela M Terwindt
- Department of Neurology and Department of Radiology, Leiden University Medical Center, Leiden, Netherlands
| | - Mark A van Buchem
- Department of Neurology and Department of Radiology, Leiden University Medical Center, Leiden, Netherlands
| | - Eric E Smith
- Department of Clinical Neurosciences and Hotchkiss Brain Institute, University of Calgary, Calgary, AB, Canada
| | - David J Werring
- Stroke Research Centre, Department of Brain Repair and Rehabilitation, University College London Queen Square Institute of Neurology, London, UK; National Hospital for Neurology and Neurosurgery, London, UK
| | - Ralph N Martins
- Centre for Healthy Ageing, Health Future Institute, Murdoch University, Perth, WA, Australia; Department of Biomedical Sciences, Macquarie University, North Ryde, NSW, Australia; School of Medical and Health Sciences, Edith Cowan University, Joondalup, WA, Australia
| | - Marieke J H Wermer
- Department of Neurology and Department of Radiology, Leiden University Medical Center, Leiden, Netherlands
| | - Steven M Greenberg
- Department of Neurology and Department of Radiology, Massachusetts General Hospital, Boston, MA, USA.
| |
Collapse
|
7
|
Collette SL, Rodgers MP, van Walderveen MAA, Compagne KCJ, Nederkoorn PJ, Hofmeijer J, Martens JM, de Borst GJ, Luijckx GJR, Majoie CBLM, van der Lugt A, Bokkers RPH, Uyttenboogaart M. Management of extracranial carotid artery stenosis during endovascular treatment for acute ischaemic stroke: results from the MR CLEAN Registry. Stroke Vasc Neurol 2023; 8:229-237. [PMID: 36572506 PMCID: PMC10359798 DOI: 10.1136/svn-2022-001891] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2022] [Accepted: 11/02/2022] [Indexed: 12/27/2022] Open
Abstract
BACKGROUND The optimal management of ipsilateral extracranial internal carotid artery (ICA) stenosis during endovascular treatment (EVT) is unclear. We compared the outcomes of two different strategies: EVT with vs without carotid artery stenting (CAS). METHODS In this observational study, we included patients who had an acute ischaemic stroke undergoing EVT and a concomitant ipsilateral extracranial ICA stenosis of ≥50% or occlusion of presumed atherosclerotic origin, from the Dutch Multicenter Randomized Clinical Trial of Endovascular Treatment for Acute Ischemic Stroke in the Netherlands (MR CLEAN) Registry (2014-2017). The primary endpoint was a good functional outcome at 90 days, defined as a modified Rankin Scale score ≤2. Secondary endpoints were successful intracranial reperfusion, new clot in a different vascular territory, symptomatic intracranial haemorrhage, recurrent ischaemic stroke and any serious adverse event. RESULTS Of the 433 included patients, 169 (39%) underwent EVT with CAS. In 123/168 (73%) patients, CAS was performed before intracranial thrombectomy. In 42/224 (19%) patients who underwent EVT without CAS, a deferred carotid endarterectomy or CAS was performed. EVT with and without CAS were associated with similar proportions of good functional outcome (47% vs 42%, respectively; adjusted OR (aOR), 0.90; 95% CI, 0.50 to 1.62). There were no major differences between the groups in any of the secondary endpoints, except for the increased odds of a new clot in a different vascular territory in the EVT with CAS group (aOR, 2.96; 95% CI, 1.07 to 8.21). CONCLUSIONS Functional outcomes were comparable after EVT with and without CAS. CAS during EVT might be a feasible option to treat the extracranial ICA stenosis but randomised studies are warranted to prove non-inferiority or superiority.
Collapse
Affiliation(s)
- Sabine L Collette
- University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
| | - Michael P Rodgers
- University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
| | | | | | - Paul J Nederkoorn
- Amsterdam University Medical Centres, University of Amsterdam, Amsterdam, The Netherlands
| | | | | | - Gert J de Borst
- University Medical Centre Utrecht, University of Utrecht, Utrecht, The Netherlands
| | - Gert Jan R Luijckx
- University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
| | - Charles B L M Majoie
- Amsterdam University Medical Centres, University of Amsterdam, Amsterdam, The Netherlands
| | - Aad van der Lugt
- Erasmus MC, University Medical Centre, Rotterdam, The Netherlands
| | - Reinoud P H Bokkers
- University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
| | - Maarten Uyttenboogaart
- University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands
| |
Collapse
|
8
|
Olthuis SGH, Pirson FAV, Pinckaers FME, Hinsenveld WH, Nieboer D, Ceulemans A, Knapen RRMM, Robbe MMQ, Berkhemer OA, van Walderveen MAA, Lycklama À Nijeholt GJ, Uyttenboogaart M, Schonewille WJ, van der Sluijs PM, Wolff L, van Voorst H, Postma AA, Roosendaal SD, van der Hoorn A, Emmer BJ, Krietemeijer MGM, van Doormaal PJ, Roozenbeek B, Goldhoorn RJB, Staals J, de Ridder IR, van der Leij C, Coutinho JM, van der Worp HB, Lo RTH, Bokkers RPH, van Dijk EI, Boogaarts HD, Wermer MJH, van Es ACGM, van Tuijl JH, Kortman HGJ, Gons RAR, Yo LSF, Vos JA, de Laat KF, van Dijk LC, van den Wijngaard IR, Hofmeijer J, Martens JM, Brouwers PJAM, Bulut T, Remmers MJM, de Jong TEAM, den Hertog HM, van Hasselt BAAM, Rozeman AD, Elgersma OEH, van der Veen B, Sudiono DR, Lingsma HF, Roos YBWEM, Majoie CBLM, van der Lugt A, Dippel DWJ, van Zwam WH, van Oostenbrugge RJ. Endovascular treatment versus no endovascular treatment after 6-24 h in patients with ischaemic stroke and collateral flow on CT angiography (MR CLEAN-LATE) in the Netherlands: a multicentre, open-label, blinded-endpoint, randomised, controlled, phase 3 trial. Lancet 2023; 401:1371-1380. [PMID: 37003289 DOI: 10.1016/s0140-6736(23)00575-5] [Citation(s) in RCA: 33] [Impact Index Per Article: 33.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/02/2023] [Revised: 03/11/2023] [Accepted: 03/14/2023] [Indexed: 04/03/2023]
Abstract
BACKGROUND Endovascular treatment for anterior circulation ischaemic stroke is effective and safe within a 6 h window. MR CLEAN-LATE aimed to assess efficacy and safety of endovascular treatment for patients treated in the late window (6-24 h from symptom onset or last seen well) selected on the basis of the presence of collateral flow on CT angiography (CTA). METHODS MR CLEAN-LATE was a multicentre, open-label, blinded-endpoint, randomised, controlled, phase 3 trial done in 18 stroke intervention centres in the Netherlands. Patients aged 18 years or older with ischaemic stroke, presenting in the late window with an anterior circulation large-vessel occlusion and collateral flow on CTA, and a neurological deficit score of at least 2 on the National Institutes of Health Stroke Scale were included. Patients who were eligible for late-window endovascular treatment were treated according to national guidelines (based on clinical and perfusion imaging criteria derived from the DAWN and DEFUSE-3 trials) and excluded from MR CLEAN-LATE enrolment. Patients were randomly assigned (1:1) to receive endovascular treatment or no endovascular treatment (control), in addition to best medical treatment. Randomisation was web based, with block sizes ranging from eight to 20, and stratified by centre. The primary outcome was the modified Rankin Scale (mRS) score at 90 days after randomisation. Safety outcomes included all-cause mortality at 90 days after randomisation and symptomatic intracranial haemorrhage. All randomly assigned patients who provided deferred consent or died before consent could be obtained comprised the modified intention-to-treat population, in which the primary and safety outcomes were assessed. Analyses were adjusted for predefined confounders. Treatment effect was estimated with ordinal logistic regression and reported as an adjusted common odds ratio (OR) with a 95% CI. This trial was registered with the ISRCTN, ISRCTN19922220. FINDINGS Between Feb 2, 2018, and Jan 27, 2022, 535 patients were randomly assigned, and 502 (94%) patients provided deferred consent or died before consent was obtained (255 in the endovascular treatment group and 247 in the control group; 261 [52%] females). The median mRS score at 90 days was lower in the endovascular treatment group than in the control group (3 [IQR 2-5] vs 4 [2-6]), and we observed a shift towards better outcomes on the mRS for the endovascular treatment group (adjusted common OR 1·67 [95% CI 1·20-2·32]). All-cause mortality did not differ significantly between groups (62 [24%] of 255 patients vs 74 [30%] of 247 patients; adjusted OR 0·72 [95% CI 0·44-1·18]). Symptomatic intracranial haemorrhage occurred more often in the endovascular treatment group than in the control group (17 [7%] vs four [2%]; adjusted OR 4·59 [95% CI 1·49-14·10]). INTERPRETATION In this study, endovascular treatment was efficacious and safe for patients with ischaemic stroke caused by an anterior circulation large-vessel occlusion who presented 6-24 h from onset or last seen well, and who were selected on the basis of the presence of collateral flow on CTA. Selection of patients for endovascular treatment in the late window could be primarily based on the presence of collateral flow. FUNDING Collaboration for New Treatments of Acute Stroke consortium, Dutch Heart Foundation, Stryker, Medtronic, Cerenovus, Top Sector Life Sciences & Health, and the Netherlands Brain Foundation.
Collapse
Affiliation(s)
- Susanne G H Olthuis
- Department of Neurology, Maastricht University Medical Center+, Maastricht, Netherlands; School for Cardiovascular Diseases, Maastricht University, Maastricht, Netherlands.
| | - F Anne V Pirson
- Department of Neurology, Maastricht University Medical Center+, Maastricht, Netherlands; School for Cardiovascular Diseases, Maastricht University, Maastricht, Netherlands
| | - Florentina M E Pinckaers
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center+, Maastricht, Netherlands; School for Cardiovascular Diseases, Maastricht University, Maastricht, Netherlands
| | - Wouter H Hinsenveld
- Department of Neurology, Maastricht University Medical Center+, Maastricht, Netherlands; School for Cardiovascular Diseases, Maastricht University, Maastricht, Netherlands
| | - Daan Nieboer
- Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Angelique Ceulemans
- Department of Neurology, Maastricht University Medical Center+, Maastricht, Netherlands; School for Cardiovascular Diseases, Maastricht University, Maastricht, Netherlands
| | - Robrecht R M M Knapen
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center+, Maastricht, Netherlands; School for Cardiovascular Diseases, Maastricht University, Maastricht, Netherlands
| | - M M Quirien Robbe
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center+, Maastricht, Netherlands; School for Cardiovascular Diseases, Maastricht University, Maastricht, Netherlands
| | - Olvert A Berkhemer
- Department of Neurology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands; Department of Radiology and Nuclear Medicine, Amsterdam Neurosciences, Amsterdam UMC location University of Amsterdam, Amsterdam, Netherlands
| | | | | | - Maarten Uyttenboogaart
- Department of Neurology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands; Department of Radiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | | | - P Matthijs van der Sluijs
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Lennard Wolff
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Henk van Voorst
- Department of Radiology and Nuclear Medicine, Amsterdam Neurosciences, Amsterdam UMC location University of Amsterdam, Amsterdam, Netherlands; Department of Biomedical Engineering and Physics, Amsterdam UMC location University of Amsterdam, Amsterdam, Netherlands
| | - Alida A Postma
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center+, Maastricht, Netherlands; School for Mental Health and Neuroscience (MHeNs), Maastricht University, Maastricht, Netherlands
| | - Stefan D Roosendaal
- Department of Radiology and Nuclear Medicine, Amsterdam Neurosciences, Amsterdam UMC location University of Amsterdam, Amsterdam, Netherlands
| | - Anouk van der Hoorn
- Department of Radiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Bart J Emmer
- Department of Radiology and Nuclear Medicine, Amsterdam Neurosciences, Amsterdam UMC location University of Amsterdam, Amsterdam, Netherlands
| | | | - Pieter-Jan van Doormaal
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Bob Roozenbeek
- Department of Neurology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Robert-Jan B Goldhoorn
- Department of Neurology, Maastricht University Medical Center+, Maastricht, Netherlands; School for Cardiovascular Diseases, Maastricht University, Maastricht, Netherlands
| | - Julie Staals
- Department of Neurology, Maastricht University Medical Center+, Maastricht, Netherlands; School for Cardiovascular Diseases, Maastricht University, Maastricht, Netherlands
| | - Inger R de Ridder
- Department of Neurology, Maastricht University Medical Center+, Maastricht, Netherlands; School for Cardiovascular Diseases, Maastricht University, Maastricht, Netherlands
| | - Christiaan van der Leij
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center+, Maastricht, Netherlands
| | - Jonathan M Coutinho
- Department of Neurology, Amsterdam UMC location University of Amsterdam, Amsterdam, Netherlands
| | - H Bart van der Worp
- Department of Neurology and Neurosurgery, Brain Center, University Medical Center Utrecht, Utrecht, Netherlands
| | - Rob T H Lo
- Department of Radiology, University Medical Center Utrecht, Utrecht, Netherlands
| | - Reinoud P H Bokkers
- Department of Radiology, University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Ewoud I van Dijk
- Department of Neurology, Radboud University Medical Center, Nijmegen, Netherlands
| | | | - Marieke J H Wermer
- Department of Neurology, Leiden University Medical Center, Leiden, Netherlands
| | | | - Julia H van Tuijl
- Department of Neurology, Elisabeth-TweeSteden Hospital, Tilburg, Netherlands
| | - Hans G J Kortman
- Department of Radiology, Elisabeth-TweeSteden Hospital, Tilburg, Netherlands
| | - Rob A R Gons
- Department of Neurology, Catharina Hospital, Eindhoven, Netherlands
| | - Lonneke S F Yo
- Department of Radiology, Catharina Hospital, Eindhoven, Netherlands
| | - Jan-Albert Vos
- Department of Radiology, Sint Antonius Hospital, Nieuwegein, Netherlands
| | | | | | - Ido R van den Wijngaard
- Department of Neurology, Leiden University Medical Center, Leiden, Netherlands; Department of Neurology, Haaglanden Medical Center, The Hague, Netherlands
| | - Jeannette Hofmeijer
- Department of Neurology, Rijnstate Hospital, Arnhem, Netherlands; Department of Clinical Neurophysiology, University of Twente, Enschede, Netherlands
| | - Jasper M Martens
- Department of Radiology and Nuclear Medicine, Rijnstate Hospital, Arnhem, Netherlands
| | | | - Tomas Bulut
- Department of Radiology, Medisch Spectrum Twente, Enschede, Netherlands
| | | | | | | | | | - Anouk D Rozeman
- Department of Neurology, Albert Schweitzer Hospital, Dordrecht, Netherlands
| | - Otto E H Elgersma
- Department of Radiology, Albert Schweitzer Hospital, Dordrecht, Netherlands
| | - Bas van der Veen
- Department of Neurology, Noordwest ziekenhuisgroep, Alkmaar, Netherlands
| | - Davy R Sudiono
- Department of Radiology, Noordwest ziekenhuisgroep, Alkmaar, Netherlands
| | - Hester F Lingsma
- Department of Public Health, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Yvo B W E M Roos
- Department of Neurology, Amsterdam UMC location University of Amsterdam, Amsterdam, Netherlands
| | - Charles B L M Majoie
- Department of Radiology and Nuclear Medicine, Amsterdam Neurosciences, Amsterdam UMC location University of Amsterdam, Amsterdam, Netherlands
| | - Aad van der Lugt
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Diederik W J Dippel
- Department of Neurology, Erasmus MC, University Medical Center Rotterdam, Rotterdam, Netherlands
| | - Wim H van Zwam
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Center+, Maastricht, Netherlands; School for Cardiovascular Diseases, Maastricht University, Maastricht, Netherlands
| | - Robert J van Oostenbrugge
- Department of Neurology, Maastricht University Medical Center+, Maastricht, Netherlands; School for Cardiovascular Diseases, Maastricht University, Maastricht, Netherlands
| |
Collapse
|
9
|
Koemans EA, van Walderveen MAA, Voigt S, Rasing I, van Harten TW, J A van Os H, van der Weerd N, Terwindt GM, van Osch MJP, van Veluw SJ, Freeze WM, Wermer MJH. Subarachnoid CSF hyperintensities at 7 tesla FLAIR MRI: A novel marker in cerebral amyloid angiopathy. Neuroimage Clin 2023; 38:103386. [PMID: 36989852 PMCID: PMC10074985 DOI: 10.1016/j.nicl.2023.103386] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Revised: 02/25/2023] [Accepted: 03/24/2023] [Indexed: 03/28/2023]
Abstract
BACKGROUND We observed subarachnoid cerebrospinal fluid (CSF) hyperintensities at non-contrast 7-tesla (T) fluid-attenuated inversion recovery (FLAIR) MRI, frequently topographically associated with cortical superficial siderosis (cSS), in participants with cerebral amyloid angiopathy (CAA). To systemically evaluate these CSF hyperintensities we investigated their frequency and anatomical and temporal relationship with cSS on 7T and 3T MRI in hereditary Dutch-type CAA (D-CAA), sporadic CAA (sCAA), and non-CAA controls. METHODS CAA participants were included from two prospective natural history studies and non-CAA controls from a 7T study in healthy females and females with ischemic stroke. CSF hyperintensities were scored by two independent observers. RESULTS We included 38 sCAA participants (mean age 72y), 50 D-CAA participants (mean age 50y) and 44 non-CAA controls (mean age 53y, 15 with stroke). In total 27/38 (71 %, 95 %CI 56-84) sCAA and 23/50 (46 %, 95 %CI 33-60) D-CAA participants had subarachnoid CSF hyperintensities at baseline 7T. Most (96 %) of those had cSS, in 54 % there was complete topographical overlap with cSS. The remaining 46 % had ≥1 sulcus with CSF hyperintensities without co-localizing cSS. None of the healthy controls and 2/15 (13 %, 95 %CI 2-41, 100 % cSS overlap) of the stroke controls had CSF hyperintensities. In 85 % of the CAA participants CSF hyperintensities could retrospectively be identified at 3T. Of the 35 CAA participants with follow-up 7T after two years, 17/35 (49 %) showed increase and 6/35 (17 %) decrease of regional CSF hyperintensities. In 2/11 (18 %) of participants with follow-up who had baseline CSF hyperintensities without overlapping cSS, new cSS developed at those locations. CONCLUSIONS Subarachnoid CSF hyperintensities at 7T FLAIR MRI occur frequently in CAA and are associated with cSS, although without complete overlap. We hypothesize that the phenomenon could be a sign of subtle plasma protein or blood product leakage into the CSF, resulting in CSF T1-shortening.
Collapse
Affiliation(s)
- Emma A Koemans
- Leiden University Medical Center, Department of Neurology, Leiden, The Netherlands.
| | | | - Sabine Voigt
- Leiden University Medical Center, Department of Neurology, Leiden, The Netherlands; Leiden University Medical Center, Department of Radiology, Leiden, The Netherlands
| | - Ingeborg Rasing
- Leiden University Medical Center, Department of Neurology, Leiden, The Netherlands
| | - Thijs W van Harten
- Leiden University Medical Center, Department of Radiology, Leiden, The Netherlands
| | - Hine J A van Os
- Leiden University Medical Center, Department of Neurology, Leiden, The Netherlands; Leiden University Medical Center, Department of Public Health, Leiden, The Netherlands
| | | | - Gisela M Terwindt
- Leiden University Medical Center, Department of Neurology, Leiden, The Netherlands
| | | | - Susanne J van Veluw
- Leiden University Medical Center, Department of Radiology, Leiden, The Netherlands; Massachusetts General Hospital, Harvard Medical School, J. Philip Kistler Stroke Research Center, Boston, MA, USA; Massachusetts General Hospital, MassGeneral Institute for Neurodegenerative Disease, Charlestown, MA, USA
| | - Whitney M Freeze
- Leiden University Medical Center, Department of Radiology, Leiden, The Netherlands
| | - Marieke J H Wermer
- Leiden University Medical Center, Department of Neurology, Leiden, The Netherlands
| |
Collapse
|
10
|
Sondag L, Wolsink A, Jolink WMT, Voigt S, van Walderveen MAA, Wermer MJH, Klijn CJM, Schreuder FHBM. The association between blood pressure variability and perihematomal edema after spontaneous intracerebral hemorrhage. Front Neurol 2023; 14:1114602. [PMID: 37006500 PMCID: PMC10060834 DOI: 10.3389/fneur.2023.1114602] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Accepted: 03/01/2023] [Indexed: 03/18/2023] Open
Abstract
BackgroundPerihematomal edema (PHE) after spontaneous intracerebral hemorrhage (sICH) is associated with clinical deterioration, but the etiology of PHE development is only partly understood.AimsWe aimed to investigate the association between systemic blood pressure (BP) variability (BPV) and formation of PHE.MethodsFrom a multicenter prospective observational study, we selected patients with sICH who underwent 3T brain MRI within 21 days after sICH, and had at least 5 BP measurements available in the first week after sICH. Primary outcome was the association between coefficient of variation (CV) of systolic BP (SBP) and edema extension distance (EED) using multivariable linear regression, adjusting for age, sex, ICH volume and timing of the MRI. In addition, we investigated the associations of mean SBP, mean arterial pressure (MAP), their CVs with EED and absolute and relative PHE volume.ResultsWe included 92 patients (mean age 64 years; 74% men; median ICH volume 16.8 mL (IQR 6.6–36.0), median PHE volume 22.5 mL (IQR 10.2–41.4). Median time between symptom onset and MRI was 6 days (IQR 4–11), median number of BP measurements was 25 (IQR 18–30). Log-transformed CV of SBP was not associated with EED (B = 0.050, 95%-CI −0.186 to 0.286, p = 0.673). Furthermore, we found no association between mean SBP, mean and CV of MAP and EED, nor between mean SBP, mean MAP or their CVs and absolute or relative PHE.DiscussionOur results do not support a contributing role for BPV on PHE, suggesting mechanisms other than hydrostatic pressure such as inflammatory processes, may play a more important role.
Collapse
Affiliation(s)
- Lotte Sondag
- Department of Neurology, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, Netherlands
| | - Axel Wolsink
- Department of Neurology, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, Netherlands
| | | | - Sabine Voigt
- Department of Neurology, Leiden University Medical Center, Leiden, Netherlands
- Department of Radiology, Leiden University Medical Center, Leiden, Netherlands
| | | | | | - Catharina J. M. Klijn
- Department of Neurology, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, Netherlands
| | - Floris H. B. M. Schreuder
- Department of Neurology, Donders Institute for Brain, Cognition and Behavior, Radboud University Medical Center, Nijmegen, Netherlands
- *Correspondence: Floris H. B. M. Schreuder
| |
Collapse
|
11
|
Hund HM, Boodt N, Hansen D, Haffmans WA, Lycklama À Nijeholt GJ, Hofmeijer J, Dippel DWJ, van der Lugt A, van Es ACGM, van Beusekom HMM, Roos YBWEM, van Oostenbrugge RJ, van Zwam WH, Boiten J, Vos JA, Jansen IGH, Mulder MJHL, Goldhoorn RJB, Compagne KCJ, Kappelhof M, Brouwer J, den Hartog SJ, Hinsenveld WH, Roozenbeek B, Emmer BJ, Coutinho JM, Schonewille WJ, Wermer MJH, van Walderveen MAA, Staals J, Martens JM, de Bruijn SF, van Dijk LC, van der Worp HB, Lo RH, van Dijk EJ, Boogaarts HD, de Vries J, de Kort PLM, van Tuijl J, Peluso JP, Fransen P, van den Berg JSP, van Hasselt BAAM, Aerden LAM, Dallinga RJ, Uyttenboogaart M, Eschgi O, Bokkers RPH, Schreuder THCML, Heijboer RJJ, Keizer K, Yo LSF, den Hertog HM, Bulut T, Brouwers PJAM, Sprengers MES, Jenniskens SFM, van den Berg R, Yoo AJ, Beenen LFM, Postma AA, Roosendaal SD, van der Kallen BFW, van den Wijngaard IR, Bot J, van Doormaal PJ, Meijer A, Ghariq E, van Proosdij MP, Krietemeijer GM, Dinkelaar W, Appelman APA, Hammer B, Pegge S, van der Hoorn A, Vinke S, Flach HZ, Lingsma HF, el Ghannouti N, Sterrenberg M, Pellikaan W, Sprengers R, Elfrink M, Simons M, Vossers M, de Meris J, Vermeulen T, Geerlings A, van Vemde G, Simons T, Messchendorp G, Nicolaij N, Bongenaar H, Bodde K, Kleijn S, Lodico J, Droste H, Wollaert M, Verheesen S, Jeurrissen D, Bos E, Drabbe Y, Sandiman M, Aaldering N, Zweedijk B, Vervoort J, Ponjee E, Romviel S, Kanselaar K, Barning D, Venema E, Chalos V, Geuskens RR, van Straaten T, Ergezen S, Harmsma RRM, Muijres D, de Jong A, Berkhemer OA, Boers AMM, Huguet J, Groot PFC, Mens MA, van Kranendonk KR, Treurniet KM, Tolhuisen ML, Alves H, Weterings AJ, Kirkels EL, Voogd EJHF, Schupp LM, Collette SL, Groot AED, LeCouffe NE, Konduri PR, Prasetya H, Arrarte-Terreros N, Ramos LA. Association between thrombus composition and stroke etiology in the MR CLEAN Registry biobank. Neuroradiology 2023; 65:933-943. [PMID: 36695859 PMCID: PMC10105654 DOI: 10.1007/s00234-023-03115-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/26/2022] [Accepted: 01/06/2023] [Indexed: 01/26/2023]
Abstract
PURPOSE The composition of thrombi retrieved during endovascular thrombectomy (EVT) in acute ischemic stroke (AIS) due to large vessel occlusion (LVO) may differ depending on their origin. In this study, we investigated the association between thrombus composition and stroke etiology in a large population of patients from the Dutch MR CLEAN Registry treated with EVT in daily clinical practice. METHODS The thrombi of 332 patients with AIS were histologically analyzed for red blood cells (RBC), fibrin/platelets (F/P), and white blood cells (leukocytes) using a machine learning algorithm. Stroke etiology was assessed using the Trial of Org 10,172 in acute stroke treatment (TOAST) classification. RESULTS The thrombi of cardioembolic origin contained less RBC and more F/P than those of non-cardioembolic origin (25.8% vs 41.2% RBC [p = 0.003] and 67.1% vs 54.5% F/P [p = 0.004]). The likelihood of a non-cardioembolic source of stroke increased with increasing thrombus RBC content (OR 1.02; [95% CI 1.00-1.06] for each percent increase) and decreased with a higher F/P content (OR 1.02; [95% CI 1.00-1.06]). Thrombus composition in patients with a cardioembolic origin and undetermined origin was similar. CONCLUSION Thrombus composition is significantly associated with stroke etiology, with an increase in RBC and a decrease in F/P raising the odds for a non-cardioembolic cause. No difference between composition of cardioembolic thrombi and of undetermined origin was seen. This emphasizes the need for more extensive monitoring for arrhythmias and/or extended cardiac analysis in case of an undetermined origin.
Collapse
Affiliation(s)
- Hajo M Hund
- Department of Cardiology, Erasmus MC University Medical Center, Room EE23.93, PO 2040, 3000CA, Rotterdam, The Netherlands.,Department of Radiology, Haaglanden Medical Centrum, The Hague, The Netherlands
| | - Nikki Boodt
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands.,Department of Neurology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Daniel Hansen
- Department of Cardiology, Erasmus MC University Medical Center, Room EE23.93, PO 2040, 3000CA, Rotterdam, The Netherlands
| | - Willem A Haffmans
- Department of Cardiology, Erasmus MC University Medical Center, Room EE23.93, PO 2040, 3000CA, Rotterdam, The Netherlands
| | | | - Jeannette Hofmeijer
- Department of Neurology, Rijnstate Hospital, Arnhem, The Netherlands.,Department of Clinical Neurophysiology, University of Twente, Enschede, The Netherlands
| | - Diederik W J Dippel
- Department of Neurology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Aad van der Lugt
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Adriaan C G M van Es
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Heleen M M van Beusekom
- Department of Cardiology, Erasmus MC University Medical Center, Room EE23.93, PO 2040, 3000CA, Rotterdam, The Netherlands.
| | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
12
|
Algra AM, Greving JP, Wermer MJH, van Walderveen MAA, van der Schaaf IC, van der Zwan A, Visser-Meily JMA, Rinkel GJE, Vergouwen MDI. Quality of Life Outcomes Over Time in Patients With Unruptured Intracranial Aneurysms With and Without Preventive Occlusion: A Prospective Cohort Study. Neurology 2022; 99:e1715-e1724. [PMID: 35790419 DOI: 10.1212/wnl.0000000000200831] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2021] [Accepted: 04/22/2022] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND AND OBJECTIVES In counseling patients with an unruptured intracranial aneurysm (UIA), quality of life (QoL) outcomes are important for informed decision making. We evaluated QoL outcomes in patients with and without preventive aneurysm occlusion at multiple time points during the first year after UIA diagnosis and studied predictors of QoL outcomes. METHODS We performed a prospective cohort study in patients aged ≥18 years with a newly diagnosed UIA in 2 tertiary referral centers in the Netherlands between 2017 and 2019. Patients were sent QoL questionnaires at 7 (aneurysm occlusion) or 5 (no occlusion) moments during the first year after diagnosis. We collected baseline data on patient and aneurysm characteristics, passive coping style (Utrecht Coping List), occlusion modality, and neurologic complications. We assessed health-related QoL (HRQoL) with the EuroQol 5 dimensions (EQ-5D), emotional functioning with the Hospital Anxiety and Depression Scale (HADS), and restrictions in daily activities with the Utrecht Scale for Evaluation of Rehabilitation-Participation (USER-P). We used a linear mixed-effects model to assess the course of QoL over time and to explore predictors of QoL outcomes. RESULTS Of 153 eligible patients, 99 (65%) participated, of whom 30/99 (30%) underwent preventive occlusion. Patients undergoing occlusion reported higher baseline levels of passive coping, anxiety and depression, and restrictions than patients without occlusion. During recovery after occlusion, patients reported more restrictions compared with baseline (adjusted USER-P decrease 1 month post occlusion: -12.8 [95% CI -23.8 to -1.9]). HRQoL and emotional functioning gradually improved after occlusion (EQ-5D increase at 1 year: 8.6 [95% CI 0.1-17.0] and HADS decrease at 1 year: -5.4 [95% CI -9.4 to -1.5]). In patients without occlusion, the largest HRQoL improvement occurred directly after visiting the outpatient aneurysm clinic (EQ-5D increase: 9.2 [95% CI 5.5-12.8]). At 1 year, QoL outcomes were comparable in patients with and without occlusion. Factors associated with worse QoL outcomes were a passive coping style in all patients, complications in patients with occlusion, and higher rupture risks in patients without occlusion. DISCUSSION After UIA diagnosis, QoL improves gradually after preventive occlusion and directly after counseling at the outpatient clinic in patients without occlusion, resulting in comparable 1-year QoL outcomes. A passive coping style is an important predictor of poor QoL outcomes in all patients with UIA.
Collapse
Affiliation(s)
- Annemijn M Algra
- From the Department of Neurology and Neurosurgery (A.M.A., A.Z., G.J.E.R., M.D.I.V.), UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University; Julius Center for Health Sciences and Primary Care (J.P.G.), University Medical Center Utrecht, Utrecht University; Department of Neurology (M.J.H.W.), Leiden University Medical Center, Leiden University; Department of Radiology (M.A.A.W.), Leiden University Medical Center, Leiden University; Department of Radiology (I.C.S.), UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University; and Department of Rehabilitation (J.V.-M.), Physical Therapy Science and Sports, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, the Netherlands.
| | - Jacoba P Greving
- From the Department of Neurology and Neurosurgery (A.M.A., A.Z., G.J.E.R., M.D.I.V.), UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University; Julius Center for Health Sciences and Primary Care (J.P.G.), University Medical Center Utrecht, Utrecht University; Department of Neurology (M.J.H.W.), Leiden University Medical Center, Leiden University; Department of Radiology (M.A.A.W.), Leiden University Medical Center, Leiden University; Department of Radiology (I.C.S.), UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University; and Department of Rehabilitation (J.V.-M.), Physical Therapy Science and Sports, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, the Netherlands
| | - Marieke J H Wermer
- From the Department of Neurology and Neurosurgery (A.M.A., A.Z., G.J.E.R., M.D.I.V.), UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University; Julius Center for Health Sciences and Primary Care (J.P.G.), University Medical Center Utrecht, Utrecht University; Department of Neurology (M.J.H.W.), Leiden University Medical Center, Leiden University; Department of Radiology (M.A.A.W.), Leiden University Medical Center, Leiden University; Department of Radiology (I.C.S.), UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University; and Department of Rehabilitation (J.V.-M.), Physical Therapy Science and Sports, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, the Netherlands
| | - Marianne A A van Walderveen
- From the Department of Neurology and Neurosurgery (A.M.A., A.Z., G.J.E.R., M.D.I.V.), UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University; Julius Center for Health Sciences and Primary Care (J.P.G.), University Medical Center Utrecht, Utrecht University; Department of Neurology (M.J.H.W.), Leiden University Medical Center, Leiden University; Department of Radiology (M.A.A.W.), Leiden University Medical Center, Leiden University; Department of Radiology (I.C.S.), UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University; and Department of Rehabilitation (J.V.-M.), Physical Therapy Science and Sports, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, the Netherlands
| | - Irene C van der Schaaf
- From the Department of Neurology and Neurosurgery (A.M.A., A.Z., G.J.E.R., M.D.I.V.), UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University; Julius Center for Health Sciences and Primary Care (J.P.G.), University Medical Center Utrecht, Utrecht University; Department of Neurology (M.J.H.W.), Leiden University Medical Center, Leiden University; Department of Radiology (M.A.A.W.), Leiden University Medical Center, Leiden University; Department of Radiology (I.C.S.), UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University; and Department of Rehabilitation (J.V.-M.), Physical Therapy Science and Sports, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, the Netherlands
| | - Albert van der Zwan
- From the Department of Neurology and Neurosurgery (A.M.A., A.Z., G.J.E.R., M.D.I.V.), UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University; Julius Center for Health Sciences and Primary Care (J.P.G.), University Medical Center Utrecht, Utrecht University; Department of Neurology (M.J.H.W.), Leiden University Medical Center, Leiden University; Department of Radiology (M.A.A.W.), Leiden University Medical Center, Leiden University; Department of Radiology (I.C.S.), UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University; and Department of Rehabilitation (J.V.-M.), Physical Therapy Science and Sports, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, the Netherlands
| | - Johanna M A Visser-Meily
- From the Department of Neurology and Neurosurgery (A.M.A., A.Z., G.J.E.R., M.D.I.V.), UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University; Julius Center for Health Sciences and Primary Care (J.P.G.), University Medical Center Utrecht, Utrecht University; Department of Neurology (M.J.H.W.), Leiden University Medical Center, Leiden University; Department of Radiology (M.A.A.W.), Leiden University Medical Center, Leiden University; Department of Radiology (I.C.S.), UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University; and Department of Rehabilitation (J.V.-M.), Physical Therapy Science and Sports, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, the Netherlands
| | - Gabriël J E Rinkel
- From the Department of Neurology and Neurosurgery (A.M.A., A.Z., G.J.E.R., M.D.I.V.), UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University; Julius Center for Health Sciences and Primary Care (J.P.G.), University Medical Center Utrecht, Utrecht University; Department of Neurology (M.J.H.W.), Leiden University Medical Center, Leiden University; Department of Radiology (M.A.A.W.), Leiden University Medical Center, Leiden University; Department of Radiology (I.C.S.), UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University; and Department of Rehabilitation (J.V.-M.), Physical Therapy Science and Sports, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, the Netherlands
| | - Mervyn D I Vergouwen
- From the Department of Neurology and Neurosurgery (A.M.A., A.Z., G.J.E.R., M.D.I.V.), UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University; Julius Center for Health Sciences and Primary Care (J.P.G.), University Medical Center Utrecht, Utrecht University; Department of Neurology (M.J.H.W.), Leiden University Medical Center, Leiden University; Department of Radiology (M.A.A.W.), Leiden University Medical Center, Leiden University; Department of Radiology (I.C.S.), UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University; and Department of Rehabilitation (J.V.-M.), Physical Therapy Science and Sports, UMC Utrecht Brain Center, University Medical Center Utrecht, Utrecht University, the Netherlands
| |
Collapse
|
13
|
Wiegertjes K, Voigt S, Jolink WMT, Koemans EA, Schreuder FHBM, van Walderveen MAA, Wermer MJH, Meijer FJA, Duering M, de Leeuw FE, Klijn CJM. Diffusion-Weighted Lesions After Intracerebral Hemorrhage: Associated MRI Findings. Front Neurol 2022; 13:882070. [PMID: 35785361 PMCID: PMC9240258 DOI: 10.3389/fneur.2022.882070] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2022] [Accepted: 05/02/2022] [Indexed: 11/13/2022] Open
Abstract
The current study aimed to investigate whether diffusion-weighted imaging-positive (DWI+) lesions after acute intracerebral hemorrhage (ICH) are associated with underlying small vessel disease (SVD) or linked to the acute ICH. We included patients ≥18 years with spontaneous ICH confirmed on neuroimaging and performed 3T MRIs after a median of 11 days (interquartile range [IQR] 6–43). DWI+ lesions were assessed in relation to the hematoma (perihematomal vs. distant and ipsilateral vs. contralateral). Differences in clinical characteristics, ICH characteristics, and MRI markers of SVD between participants with or without DWI+ lesions were investigated using non-parametric tests. We observed 54 DWI+ lesions in 30 (22%) of the 138 patients (median age [IQR] 65 [55–73] years; 71% men, 59 lobar ICH) with available DWI images. We found DWI+ lesions ipsilateral (54%) and contralateral (46%) to the ICH, and 5 (9%) DWI+ lesions were located in the immediate perihematomal region. DWI+ lesion presence was associated with probable CAA diagnosis (38 vs. 15%, p = 0.01) and larger ICH volumes (37 [8–47] vs. 12 [6–24] ml, p = 0.01), but not with imaging features of SVD. Our findings suggest that DWI+ lesions after ICH are a feature of both the underlying SVD and ICH-related mechanisms.
Collapse
Affiliation(s)
- Kim Wiegertjes
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, Netherlands
| | - Sabine Voigt
- Department of Neurology, Leiden University Medical Center, Leiden, Netherlands
| | - Wilmar M. T. Jolink
- Department of Radiology, Leiden University Medical Center, Leiden, Netherlands
| | - Emma A. Koemans
- Department of Neurology, Leiden University Medical Center, Leiden, Netherlands
| | - Floris H. B. M. Schreuder
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, Netherlands
| | | | - Marieke J. H. Wermer
- Department of Neurology and Neurosurgery, University Medical Center Utrecht, Brain Center, Utrecht University, Utrecht, Netherlands
| | | | - Marco Duering
- Department of Biomedical Engineering, Medical Image Analysis Center (MIAC AG) and qbig, University of Basel, Basel, Switzerland
| | - Frank-Erik de Leeuw
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, Netherlands
| | - Catharina J. M. Klijn
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, Netherlands
- *Correspondence: Catharina J. M. Klijn
| |
Collapse
|
14
|
Amini M, van Leeuwen N, Eijkenaar F, van de Graaf R, Samuels N, van Oostenbrugge R, van den Wijngaard IR, van Doormaal PJ, Roos YBWEM, Majoie C, Roozenbeek B, Dippel D, Burke J, Lingsma HF, Dippel DWJ, van der Lugt A, Majoie CBLM, Roos YBWEM, van Oostenbrugge RJ, van Zwam WH, Boiten J, Vos JA, Brouwer J, den Hartog SJ, Hinsenveld WH, Kappelhof M, Compagne KCJ, Goldhoorn RJB, Mulder MJHL, Jansen IGH, Dippel DWJ, Roozenbeek B, van der Lugt A, van Es ACGM, Majoie CBLM, Roos YBWEM, Emmer BJ, Coutinho JM, Schonewille WJ, Vos JA, Wermer MJH, van Walderveen MAA, Staals J, van Oostenbrugge RJ, van Zwam WH, Hofmeijer J, Martens JM, Lycklama à Nijeholt GJ, Boiten J, de Bruijn SF, van Dijk LC, van der Worp HB, Lo RH, van Dijk EJ, Boogaarts HD, de Vries J, de Kort PLM, van Tuijl J, Peluso JJP, Fransen P, van den Berg JSP, van Hasselt BAAM, Aerden LAM, Dallinga RJ, Uyttenboogaart M, Eschgi O, Bokkers RPH, Schreuder THCML, Heijboer RJJ, Keizer K, Yo LSF, den Hertog HM, Sturm EJC, Brouwers P, Majoie CBLM, van Zwam WH, van der Lugt A, Lycklama à Nijeholt GJ, van Walderveen MAA, Sprengers MES, Jenniskens SFM, van den Berg R, Yoo AJ, Beenen LFM, Postma AA, Roosendaal SD, van der Kallen BFW, van den Wijngaard IR, van Es ACGM, Emmer BJ, Martens JM, Yo LSF, Vos JA, Bot J, van Doormaal PJ, Meijer A, Ghariq E, Bokkers RPH, van Proosdij MP, Krietemeijer GM, Peluso JP, Boogaarts HD, Lo R, Gerrits D, Dinkelaar W, Appelman APA, Hammer B, Pegge S, van der Hoorn A, Vinke S, Dippel DWJ, van der Lugt A, Majoie CBLM, Roos YBWEM, van Oostenbrugge RJ, van Zwam WH, Lycklama à Nijeholt GJ, Boiten J, Vos JA, Schonewille WJ, Hofmeijer J, Martens JM, van der Worp HB, Lo RH, van Oostenbrugge RJ, Hofmeijer J, Flach HZ, Lingsma HF, el Ghannouti N, Sterrenberg M, Puppels C, Pellikaan W, Sprengers R, Elfrink M, Simons M, Vossers M, de Meris J, Vermeulen T, Geerlings A, van Vemde G, Simons T, van Rijswijk C, Messchendorp G, Nicolaij N, Bongenaar H, Bodde K, Kleijn S, Lodico J, Droste H, Wollaert M, Verheesen S, Jeurrissen D, Bos E, Drabbe Y, Sandiman M, Elfrink M, Aaldering N, Zweedijk B, Khalilzada M, Vervoort J, Droste H, Nicolaij N, Simons M, Ponjee E, Romviel S, Kanselaar K, Bos E, Barning D, Venema E, Chalos V, Geuskens RR, van Straaten T, Ergezen S, Harmsma RRM, Muijres D, de Jong A, Berkhemer OA, Boers AMM, Huguet J, Groot PFC, Mens MA, van Kranendonk KR, Treurniet KM, Jansen IGH, Tolhuisen ML, Alves H, Weterings AJ, Kirkels ELF, Voogd EJHF, Schupp LM, Collette S, Groot AED, LeCouffe NE, Konduri PR, Prasetya H, Arrarte-Terreros N, Ramos LA. Estimation of treatment effects in observational stroke care data: comparison of statistical approaches. BMC Med Res Methodol 2022; 22:103. [PMID: 35399057 PMCID: PMC8996562 DOI: 10.1186/s12874-022-01590-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Accepted: 03/22/2022] [Indexed: 11/10/2022] Open
Abstract
Abstract
Introduction
Various statistical approaches can be used to deal with unmeasured confounding when estimating treatment effects in observational studies, each with its own pros and cons. This study aimed to compare treatment effects as estimated by different statistical approaches for two interventions in observational stroke care data.
Patients and methods
We used prospectively collected data from the MR CLEAN registry including all patients (n = 3279) with ischemic stroke who underwent endovascular treatment (EVT) from 2014 to 2017 in 17 Dutch hospitals. Treatment effects of two interventions – i.e., receiving an intravenous thrombolytic (IVT) and undergoing general anesthesia (GA) before EVT – on good functional outcome (modified Rankin Scale ≤2) were estimated. We used three statistical regression-based approaches that vary in assumptions regarding the source of unmeasured confounding: individual-level (two subtypes), ecological, and instrumental variable analyses. In the latter, the preference for using the interventions in each hospital was used as an instrument.
Results
Use of IVT (range 66–87%) and GA (range 0–93%) varied substantially between hospitals. For IVT, the individual-level (OR ~ 1.33) resulted in significant positive effect estimates whereas in instrumental variable analysis no significant treatment effect was found (OR 1.11; 95% CI 0.58–1.56). The ecological analysis indicated no statistically significant different likelihood (β = − 0.002%; P = 0.99) of good functional outcome at hospitals using IVT 1% more frequently. For GA, we found non-significant opposite directions of points estimates the treatment effect in the individual-level (ORs ~ 0.60) versus the instrumental variable approach (OR = 1.04). The ecological analysis also resulted in a non-significant negative association (0.03% lower probability).
Discussion and conclusion
Both magnitude and direction of the estimated treatment effects for both interventions depend strongly on the statistical approach and thus on the source of (unmeasured) confounding. These issues should be understood concerning the specific characteristics of data, before applying an approach and interpreting the results. Instrumental variable analysis might be considered when unobserved confounding and practice variation is expected in observational multicenter studies.
Collapse
|
15
|
Ramos LA, van Os H, Hilbert A, Olabarriaga SD, van der Lugt A, Roos YBWEM, van Zwam WH, van Walderveen MAA, Ernst M, Zwinderman AH, Strijkers GJ, Majoie CBLM, Wermer MJH, Marquering HA. Combination of Radiological and Clinical Baseline Data for Outcome Prediction of Patients With an Acute Ischemic Stroke. Front Neurol 2022; 13:809343. [PMID: 35432171 PMCID: PMC9010547 DOI: 10.3389/fneur.2022.809343] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Accepted: 03/08/2022] [Indexed: 11/13/2022] Open
Abstract
Background Accurate prediction of clinical outcome is of utmost importance for choices regarding the endovascular treatment (EVT) of acute stroke. Recent studies on the prediction modeling for stroke focused mostly on clinical characteristics and radiological scores available at baseline. Radiological images are composed of millions of voxels, and a lot of information can be lost when representing this information by a single value. Therefore, in this study we aimed at developing prediction models that take into account the whole imaging data combined with clinical data available at baseline. Methods We included 3,279 patients from the MR CLEAN Registry; a prospective, observational, multicenter registry of patients with ischemic stroke treated with EVT. We developed two approaches to combine the imaging data with the clinical data. The first approach was based on radiomics features, extracted from 70 atlas regions combined with the clinical data to train machine learning models. For the second approach, we trained 3D deep learning models using the whole images and the clinical data. Models trained with the clinical data only were compared with models trained with the combination of clinical and image data. Finally, we explored feature importance plots for the best models and identified many known variables and image features/brain regions that were relevant in the model decision process. Results From 3,279 patients included, 1,241 (37%) patients had a good functional outcome [modified Rankin Scale (mRS) ≤ 2] and 1,954 (60%) patients had good reperfusion [modified Thrombolysis in Cerebral Infarction (eTICI) ≥ 2b]. There was no significant improvement by combining the image data to the clinical data for mRS prediction [mean area under the receiver operating characteristic (ROC) curve (AUC) of 0.81 vs. 0.80] above using the clinical data only, regardless of the approach used. Regarding predicting reperfusion, there was a significant improvement when image and clinical features were combined (mean AUC of 0.54 vs. 0.61), with the highest AUC obtained by the deep learning approach. Conclusions The combination of radiomics and deep learning image features with clinical data significantly improved the prediction of good reperfusion. The visualization of prediction feature importance showed both known and novel clinical and imaging features with predictive values.
Collapse
Affiliation(s)
- Lucas A. Ramos
- Department of Biomedical Engineering and Physics, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands
- Department of Clinical Epidemiology and Data Science, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands
- *Correspondence: Lucas A. Ramos
| | - Hendrikus van Os
- Department of Neurology, Leiden University Medical Center, Leiden, Netherlands
| | - Adam Hilbert
- Department of Biomedical Engineering and Physics, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands
- CLAIM - Charité Lab for Artificial Intelligence in Medicine, Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Silvia D. Olabarriaga
- Department of Clinical Epidemiology and Data Science, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands
| | - Aad van der Lugt
- Department of Radiology and Nuclear Medicine, Erasmus Medical Center (MC) - University Medical Center, Rotterdam, Netherlands
| | - Yvo B. W. E. M. Roos
- Department of Neurology, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands
| | - Wim H. van Zwam
- Department of Radiology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Center, Maastricht, Netherlands
| | | | - Marielle Ernst
- Centre for Radiology and Endoscopy, Department of Diagnostic and Interventional Neuroradiology, University Medical Centre Hamburg-Eppendorf, Hamburg, Germany
| | - Aeiko H. Zwinderman
- Department of Clinical Epidemiology and Data Science, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands
| | - Gustav J. Strijkers
- Department of Biomedical Engineering and Physics, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands
| | - Charles B. L. M. Majoie
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands
| | | | - Henk A. Marquering
- Department of Biomedical Engineering and Physics, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands
| |
Collapse
|
16
|
Compagne KCJ, Kappelhof M, Hinsenveld WH, Brouwer J, Goldhoorn RJB, Uyttenboogaart M, Bokkers RPH, Schonewille WJ, Martens JM, Hofmeijer J, van der Worp HB, Lo RTH, Keizer K, Yo LSF, Lycklama À Nijeholt GJ, den Hertog HM, Sturm EJC, Brouwers PJAM, van Walderveen MAA, Wermer MJH, de Bruijn SF, van Dijk LC, Boogaarts HD, van Dijk EJ, van Tuijl JH, Peluso JPP, de Kort PLM, van Hasselt BAAM, Fransen PS, Schreuder THCML, Heijboer RJJ, Jenniskens SFM, Sprengers MES, Ghariq E, van den Wijngaard IR, Roosendaal SD, Meijer AFJA, Beenen LFM, Postma AA, van den Berg R, Yoo AJ, van Doormaal PJ, van Proosdij MP, Krietemeijer MGM, Gerrits DG, Hammer S, Vos JA, Boiten J, Coutinho JM, Emmer BJ, van Es ACGM, Roozenbeek B, Roos YBWEM, van Zwam WH, van Oostenbrugge RJ, Majoie CBLM, Dippel DWJ, van der Lugt A. Improvements in Endovascular Treatment for Acute Ischemic Stroke: A Longitudinal Study in the MR CLEAN Registry. Stroke 2022; 53:1863-1872. [PMID: 35135323 PMCID: PMC9126265 DOI: 10.1161/strokeaha.121.034919] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
We evaluated data from all patients in the Netherlands who underwent endovascular treatment for acute ischemic stroke in the past 3.5 years, to identify nationwide trends in time to treatment and procedural success, and assess their effect on clinical outcomes.
Collapse
Affiliation(s)
- Kars C J Compagne
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, the Netherlands. (K.C.J.C., P.J.v.D.).,Department of Neurology, Erasmus MC, University Medical Center' Rotterdam' the Netherlands. (K.C.J.C., B.R., D.W.J.D.)
| | - Manon Kappelhof
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam' the Netherlands. (M.K., M.E.S.S., S.D.R., L.F.M.B., R.v.d.B., B.J.E., C.B.L.M.M.)
| | - Wouter H Hinsenveld
- Department of Radiology and Nuclear Medicine, School for Cardiovascular Diseases (CARIM), School for Mental Health and Sciences, Maastricht University Medical Center' the Netherlands. (A.A.P., W.H.v.Z.)
| | - Josje Brouwer
- Department of Neurology, Amsterdam UMC, University of Amsterdam' the Netherlands. (J.B., J.M.C., Y.B.W.E.M.R.)
| | - Robert-Jan B Goldhoorn
- Department of Neurology, School for Cardiovascular Diseases (CARIM), School for Mental Health and Sciences, Maastricht University Medical Center' the Netherlands. (W.H.H., R.-J.B.G., R.J.v.O.)
| | | | - Reinoud P H Bokkers
- Department of Radiology, University Medical Center Groningen' the Netherlands. (R.P.H.B.)
| | | | - Jasper M Martens
- Department of Radiology, Rijnstate Hospital' Arnhem' the Netherlands. (J.M.M.)
| | - Jeannette Hofmeijer
- Department of Neurology, Rijnstate Hospital' Arnhem' the Netherlands. (J.H.)
| | - H Bart van der Worp
- Department of Neurology and Neurosurgery, Brain Center, University Medical Center Utrecht' the Netherlands. (H.B.v.d.W.)
| | - Rob T H Lo
- Department of Radiology, University Medical Center Utrecht' the Netherlands. (R.T.H.L.O.)
| | - Koos Keizer
- Department of Neurology, Catharina Hospital' Eindhoven' the Netherlands. (K.K.)
| | - Lonneke S F Yo
- Department of Radiology, Catharina Hospital' Eindhoven' the Netherlands. (L.S.F.Y., M.G.M.K.)
| | | | - Heleen M den Hertog
- Department of Neurology, Isala Klinieken' the Netherlands. (H.M.d.H., P.S.F.)
| | - Emiel J C Sturm
- Department of Radiology, Medical Spectrum Twente' the Netherlands. (E.J.C.S., D.G.G.)
| | - Paul J A M Brouwers
- Department of Neurology, Medical Spectrum Twente' the Netherlands. (P.J.A.M.B.)
| | | | - Marieke J H Wermer
- Department of Neurology, Leiden University Medical Center' the Netherlands. (M.J.H.W.)
| | | | - Lukas C van Dijk
- Department of Radiology, HAGA Hospital' the Netherlands. (L.C.v.D.)
| | - Hieronymus D Boogaarts
- Department of Neurosurgery, Radboud University Medical Center' the Netherlands. (H.D.B.)
| | - Ewout J van Dijk
- Department of Neurology, Radboud University Medical Center' the Netherlands. (E.J.v.D.)
| | | | - Jo P P Peluso
- Department of Radiology, Sint Elisabeth Hospital' the Netherlands. (J.P.P.)
| | - Paul L M de Kort
- Department of Neurology, Sint Elisabeth Hospital' the Netherlands. (P.L.M.d.K.)
| | | | - Puck S Fransen
- Department of Neurology, Isala Klinieken' the Netherlands. (H.M.d.H., P.S.F.)
| | | | | | - Sjoerd F M Jenniskens
- Department of Radiology, Radboud University Medical Center' the Netherlands. (S.F.M.J., A.F.J.A.M.)
| | - Marieke E S Sprengers
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam' the Netherlands. (M.K., M.E.S.S., S.D.R., L.F.M.B., R.v.d.B., B.J.E., C.B.L.M.M.)
| | - Elias Ghariq
- Department of Radiology, Haaglanden Medical Center' the Netherlands. (G.J.L.à.N., E.G.)
| | | | - Stefan D Roosendaal
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam' the Netherlands. (M.K., M.E.S.S., S.D.R., L.F.M.B., R.v.d.B., B.J.E., C.B.L.M.M.)
| | - Anton F J A Meijer
- Department of Radiology, Radboud University Medical Center' the Netherlands. (S.F.M.J., A.F.J.A.M.)
| | - Ludo F M Beenen
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam' the Netherlands. (M.K., M.E.S.S., S.D.R., L.F.M.B., R.v.d.B., B.J.E., C.B.L.M.M.)
| | - Alida A Postma
- Department of Radiology and Nuclear Medicine, School for Cardiovascular Diseases (CARIM), School for Mental Health and Sciences, Maastricht University Medical Center' the Netherlands. (A.A.P., W.H.v.Z.)
| | - René van den Berg
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam' the Netherlands. (M.K., M.E.S.S., S.D.R., L.F.M.B., R.v.d.B., B.J.E., C.B.L.M.M.)
| | - Albert J Yoo
- Department of Radiology, Texas Stroke Institute' Plano' TX (A.J.Y.)
| | - Pieter Jan van Doormaal
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, the Netherlands. (K.C.J.C., P.J.v.D.)
| | - Marc P van Proosdij
- Department of Radiology, Noordwest Ziekenhuisgroep' the Netherlands (M.P.v.P.)
| | - Menno G M Krietemeijer
- Department of Radiology, Catharina Hospital' Eindhoven' the Netherlands. (L.S.F.Y., M.G.M.K.)
| | - Dick G Gerrits
- Department of Radiology, Medical Spectrum Twente' the Netherlands. (E.J.C.S., D.G.G.)
| | | | - Jan Albert Vos
- Department of Radiology, Sint Antonius Hospital' the Netherlands. (J.A.V.)
| | - Jelis Boiten
- Department of Neurology, Haaglanden Medical Center' the Netherlands. (I.R.v.d.W., J.B.)
| | - Jonathan M Coutinho
- Department of Neurology, Amsterdam UMC, University of Amsterdam' the Netherlands. (J.B., J.M.C., Y.B.W.E.M.R.)
| | - Bart J Emmer
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam' the Netherlands. (M.K., M.E.S.S., S.D.R., L.F.M.B., R.v.d.B., B.J.E., C.B.L.M.M.)
| | - Ad C G M van Es
- Department of Radiology, Leiden University Medical Center' the Netherlands. (M.A.A.v.W., A.C.G.M.v.E.)
| | - Bob Roozenbeek
- Department of Neurology, Erasmus MC, University Medical Center' Rotterdam' the Netherlands. (K.C.J.C., B.R., D.W.J.D.)
| | - Yvo B W E M Roos
- Department of Neurology, Amsterdam UMC, University of Amsterdam' the Netherlands. (J.B., J.M.C., Y.B.W.E.M.R.)
| | - Wim H van Zwam
- Department of Neurology, School for Cardiovascular Diseases (CARIM), School for Mental Health and Sciences, Maastricht University Medical Center' the Netherlands. (W.H.H., R.-J.B.G., R.J.v.O.)
| | - Robert J van Oostenbrugge
- Department of Neurology, School for Cardiovascular Diseases (CARIM), School for Mental Health and Sciences, Maastricht University Medical Center' the Netherlands. (W.H.H., R.-J.B.G., R.J.v.O.)
| | - Charles B L M Majoie
- Department of Radiology and Nuclear Medicine, Amsterdam UMC, University of Amsterdam' the Netherlands. (M.K., M.E.S.S., S.D.R., L.F.M.B., R.v.d.B., B.J.E., C.B.L.M.M.)
| | - Diederik W J Dippel
- Department of Neurology, Erasmus MC, University Medical Center' Rotterdam' the Netherlands. (K.C.J.C., B.R., D.W.J.D.)
| | | | | |
Collapse
|
17
|
Benali F, Stolze LJ, Rozeman AD, Dinkelaar W, Coutinho JM, Emmer BJ, Gons RAR, Yo LFS, van Tuijl JH, Boukrab I, van Dam-Nolen DHK, van den Wijngaard IR, Lycklama À Nijeholt GJ, de Laat KF, van Dijk LC, den Hertog HM, Flach HZ, Wermer MJH, van Walderveen MAA, Brouwers PJAM, Bulut T, Vermeer SE, Bernsen MLE, Uyttenboogaart M, Bokkers RPH, Boogaarts JD, de Leeuw FE, van der Worp HB, van der Schaaf IC, Schonewille WJ, Vos JA, Remmers MJM, Imani F, Dippel DWJ, van Zwam WH, Nederkoorn PJ, van Oostenbrugge RJ. Impact of the lockdown on acute stroke treatments during the first surge of the COVID-19 outbreak in the Netherlands. BMC Neurol 2022; 22:22. [PMID: 35016635 PMCID: PMC8749107 DOI: 10.1186/s12883-021-02539-4] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2021] [Accepted: 12/20/2021] [Indexed: 12/03/2022] Open
Abstract
INTRODUCTION We investigated the impact of the Corona Virus Disease 2019 (COVID-19) pandemic and the resulting lockdown on reperfusion treatments and door-to-treatment times during the first surge in Dutch comprehensive stroke centers. Furthermore, we studied the association between COVID-19-status and treatment times. METHODS We included all patients receiving reperfusion treatment in 17 Dutch stroke centers from May 11th, 2017, until May 11th, 2020. We collected baseline characteristics, National Institutes of Health Stroke Scale (NIHSS) at admission, onset-to-door time (ODT), door-to-needle time (DNT), door-to-groin time (DGT) and COVID-19-status at admission. Parameters during the lockdown (March 15th, 2020 until May 11th, 2020) were compared with those in the same period in 2019, and between groups stratified by COVID-19-status. We used nationwide data and extrapolated our findings to the increasing trend of EVT numbers since May 2017. RESULTS A decline of 14% was seen in reperfusion treatments during lockdown, with a decline in both IVT and EVT delivery. DGT increased by 12 min (50 to 62 min, p-value of < 0.001). Furthermore, median NIHSS-scores were higher in COVID-19 - suspected or positive patients (7 to 11, p-value of 0.004), door-to-treatment times did not differ significantly when stratified for COVID-19-status. CONCLUSIONS During the first surge of the COVID-19 pandemic, a decline in acute reperfusion treatments and a delay in DGT was seen, which indicates a target for attention. It also appeared that COVID-19-positive or -suspected patients had more severe neurologic symptoms, whereas their EVT-workflow was not affected.
Collapse
Affiliation(s)
- Faysal Benali
- Department of Neurology and Radiology & Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands.
| | - Lotte J Stolze
- Department of Neurology and Radiology, Amsterdam UMC, Amsterdam, the Netherlands
| | - Anouk D Rozeman
- Department of Neurology and Radiology, Albert Schweitzer Hospital, Dordrecht, the Netherlands
| | - Wouter Dinkelaar
- Department of Neurology and Radiology, Albert Schweitzer Hospital, Dordrecht, the Netherlands
| | - Jonathan M Coutinho
- Department of Neurology and Radiology, Amsterdam UMC, Amsterdam, the Netherlands
| | - Bart J Emmer
- Department of Neurology and Radiology, Amsterdam UMC, Amsterdam, the Netherlands
| | - Rob A R Gons
- Department of Neurology and Radiology, Catharina Hospital, Eindhoven, the Netherlands
| | - Lonneke F S Yo
- Department of Neurology and Radiology, Catharina Hospital, Eindhoven, the Netherlands
| | - Julia H van Tuijl
- Department of Neurology and Radiology, Elisabeth TweeSteden Hospital, Tilburg, the Netherlands
| | - Issam Boukrab
- Department of Neurology and Radiology, Elisabeth TweeSteden Hospital, Tilburg, the Netherlands
| | - Dianne H K van Dam-Nolen
- Department of Neurology and Radiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Ido R van den Wijngaard
- Department of Neurology and Radiology, Haaglanden Medical Center, The Hague, the Netherlands
| | | | - Karlijn F de Laat
- Department of Neurology and Radiology, Haga Hospital, The Hague, the Netherlands
| | - Lukas C van Dijk
- Department of Neurology and Radiology, Haga Hospital, The Hague, the Netherlands
| | - Heleen M den Hertog
- Department of Neurology and Radiology, Isala Hospital, Zwolle, the Netherlands
| | - H Zwenneke Flach
- Department of Neurology and Radiology, Isala Hospital, Zwolle, the Netherlands
| | - Marieke J H Wermer
- Department of Neurology and Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | | | - Paul J A M Brouwers
- Department of Neurology and Radiology, Medisch Spectrum Twente, Enschede, the Netherlands
| | - Tomas Bulut
- Department of Neurology and Radiology, Medisch Spectrum Twente, Enschede, the Netherlands
| | - Sarah E Vermeer
- Department of Neurology and Radiology, Rijnstate Hospital, Arnhem, the Netherlands
| | | | - Maarten Uyttenboogaart
- Department of Neurology and Radiology, University Medical Center Groningen, Groningen, the Netherlands
| | - Reinoud P H Bokkers
- Department of Neurology and Radiology, University Medical Center Groningen, Groningen, the Netherlands
| | - Jeroen D Boogaarts
- Department of Neurosurgery and Neurology, Radboud University Nijmegen Medical Center, Nijmegen, the Netherlands
| | - Frank-Erik de Leeuw
- Department of Neurosurgery and Neurology, Radboud University Nijmegen Medical Center, Nijmegen, the Netherlands
| | - H Bart van der Worp
- Department of Neurology and Neurosurgery and Radiology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Irene C van der Schaaf
- Department of Neurology and Neurosurgery and Radiology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Wouter J Schonewille
- Department of Neurology and Radiology, Sint Antonius Hospital, Nieuwegein, the Netherlands
| | - Jan A Vos
- Department of Neurology and Radiology, Sint Antonius Hospital, Nieuwegein, the Netherlands
| | - Michel J M Remmers
- Department of Neurology and Radiology, Amphia Hospital, Breda, the Netherlands
| | - Farshad Imani
- Department of Neurology and Radiology, Amphia Hospital, Breda, the Netherlands
| | - Diederik W J Dippel
- Department of Neurology and Radiology, Erasmus University Medical Center, Rotterdam, the Netherlands
| | - Wim H van Zwam
- Department of Neurology and Radiology & Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Paul J Nederkoorn
- Department of Neurology and Radiology, Amsterdam UMC, Amsterdam, the Netherlands
| | - Robert J van Oostenbrugge
- Department of Neurology and Radiology & Nuclear Medicine, Maastricht University Medical Center, Maastricht, the Netherlands
| |
Collapse
|
18
|
Brouwers JJWM, Jiang JFY, Feld RT, van Doorn LP, van Wissen RC, van Walderveen MAA, Hamming JF, Schepers A. A New Doppler-Derived Parameter to Quantify Internal Carotid Artery Stenosis: Maximal Systolic Acceleration. Ann Vasc Surg 2021; 81:202-210. [PMID: 34780944 DOI: 10.1016/j.avsg.2021.09.056] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2021] [Revised: 09/26/2021] [Accepted: 09/27/2021] [Indexed: 11/17/2022]
Abstract
OBJECTIVE Doppler ultrasonography (DUS) is used as initial measurement to diagnose and classify carotid artery stenosis. Local distorting factors such as vascular calcification can influence the ability to obtain DUS measurements. The DUS derived maximal systolic acceleration (ACCmax) provides a different way to determine the degree of stenosis. While conventional DUS parameters are measured at the stenosis itself, ACCmax is measured distal to the internal carotid artery (ICA) stenosis. The value of ACCmax in ICA stenosis was investigated in this study. MATERIAL AND METHODS All carotid artery DUS studies of a tertiary academic center were reviewed from October 2007 until December 2017. Every ICA was included once. The ACCmax was compared to conventional DUS parameters: ICA peak systolic velocity (PSV), and PSV ratio (ICA PSV/ CCA PSV). ROC-curve analysis was used to evaluate accuracy of ACCmax, ICA PSV and PSV ratio as compared to CT-angiography (CTA) derived stenosis measurement as reference test. RESULTS The study population consisted of 947 carotid arteries and was divided into 3 groups: <50% (710/947), 50-69% (109/947), and ≥70% (128/947). Between these groups ACCmax was significantly different. Strong correlations between ACCmax and ICA PSV (R2 0.88) and PSV ratio (R2 0.87) were found. In ROC subanalysis, the ACCmax had a sensitivity of 90% and a specificity of 89% to diagnose a ≥70% ICA stenosis, and a sensitivity of 82% and a specificity of 88% to diagnose a ≥50% ICA stenosis. For diagnosing a ≥50% ICA stenosis the area under the curve (AUC) of ACCmax (0.88) was significantly lower than the AUC of PSV ratio (0.94) and ICA PSV (0.94). To diagnose a ≥70% ICA stenosis there were no significant differences in AUC between ACCmax (0.89), PSV ratio (0.93) and ICA PSV (0.94). CONCLUSIONS ACCmax is an interesting additional DUS measurement in determining the degree of ICA stenosis. ACCmax is measured distal to the stenosis and is not hampered by local distorting factors at the site of the stenosis. ACCmax can accurately diagnose an ICA stenosis, but was somewhat inferior compared to ICA PSV and PSV ratio to diagnose a ≥50% ICA stenosis.
Collapse
Affiliation(s)
- Jeroen J W M Brouwers
- Department of Vascular Surgery, Leiden University Medical Center, The Netherlands; Department of Surgery, HagaHospital, The Hague, The Netherlands.
| | - Janey F Y Jiang
- Department of Radiology, Leiden University Medical Center, The Netherlands
| | - Robert T Feld
- Department of Vascular Surgery, Leiden University Medical Center, The Netherlands
| | - Louk P van Doorn
- Department of Vascular Surgery, Leiden University Medical Center, The Netherlands
| | - Rob C van Wissen
- Department of Vascular Surgery, Leiden University Medical Center, The Netherlands
| | | | - Jaap F Hamming
- Department of Vascular Surgery, Leiden University Medical Center, The Netherlands
| | - Abbey Schepers
- Department of Vascular Surgery, Leiden University Medical Center, The Netherlands
| |
Collapse
|
19
|
Koemans EA, Voigt S, Rasing I, van Harten TW, Jolink WMT, Schreuder FHBM, van Zwet EW, van Buchem MA, van Osch MJP, Terwindt GM, Klijn CJM, van Walderveen MAA, Wermer MJH. Cerebellar Superficial Siderosis in Cerebral Amyloid Angiopathy. Stroke 2021; 53:552-557. [PMID: 34538086 DOI: 10.1161/strokeaha.121.035019] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE Although evidence accumulates that the cerebellum is involved in cerebral amyloid angiopathy (CAA), cerebellar superficial siderosis is not considered to be a disease marker. The objective of this study is to investigate cerebellar superficial siderosis frequency and its relation to hemorrhagic magnetic resonance imaging markers in patients with sporadic and Dutch-type hereditary CAA and patients with deep perforating arteriopathy-related intracerebral hemorrhage. METHODS We recruited patients from 3 prospective 3 Tesla magnetic resonance imaging studies and scored siderosis and hemorrhages. Cerebellar siderosis was identified as hypointense linear signal loss (black) on susceptibility-weighted or T2*-weighted magnetic resonance imaging which follows at least one folia of the cerebellar cortex (including the vermis). RESULTS We included 50 subjects with Dutch-type hereditary CAA, (mean age 50 years), 45 with sporadic CAA (mean age 72 years), and 43 patients with deep perforating arteriopathy-related intracerebral hemorrhage (mean age 54 years). Cerebellar superficial siderosis was present in 5 out of 50 (10% [95% CI, 2-18]) patients with Dutch-type hereditary CAA, 4/45 (9% [95% CI, 1-17]) patients with sporadic CAA, and 0 out of 43 (0% [95% CI, 0-8]) patients with deep perforating arteriopathy-related intracerebral hemorrhage. Patients with cerebellar superficial siderosis had more supratentorial lobar (median number 9 versus 2, relative risk, 2.9 [95% CI, 2.5-3.4]) and superficial cerebellar macrobleeds (median number 2 versus 0, relative risk, 20.3 [95% CI, 8.6-47.6]) compared with patients without the marker. The frequency of cortical superficial siderosis and superficial cerebellar microbleeds was comparable. CONCLUSIONS We conclude that cerebellar superficial siderosis might be a novel marker for CAA.
Collapse
Affiliation(s)
- Emma A Koemans
- Department of Neurology, Leiden University Medical Center, the Netherlands. (E.A.K., S.V., I.R., G.M.T., M.J.H.W.)
| | - Sabine Voigt
- Department of Neurology, Leiden University Medical Center, the Netherlands. (E.A.K., S.V., I.R., G.M.T., M.J.H.W.)
| | - Ingeborg Rasing
- Department of Neurology, Leiden University Medical Center, the Netherlands. (E.A.K., S.V., I.R., G.M.T., M.J.H.W.)
| | - Thijs W van Harten
- Department of Radiology, Leiden University Medical Center, the Netherlands. (T.W.v.H., M.A.v.B., M.J.P.v.O., M.A.A.v.W.)
| | - Wilmar M T Jolink
- Department of Neurology and Neurosurgery, University Medical Center Utrecht Brain Center, Utrecht University, the Netherlands (W.M.T.J.)
| | - Floris H B M Schreuder
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands (F.H.B.M.S., C.J.M.K.)
| | - Erik W van Zwet
- Department of Biomedical Data Sciences, Leiden University Medical Center, the Netherlands. (E.W.v.Z.)
| | - Mark A van Buchem
- Department of Radiology, Leiden University Medical Center, the Netherlands. (T.W.v.H., M.A.v.B., M.J.P.v.O., M.A.A.v.W.)
| | - Matthias J P van Osch
- Department of Radiology, Leiden University Medical Center, the Netherlands. (T.W.v.H., M.A.v.B., M.J.P.v.O., M.A.A.v.W.)
| | - Gisela M Terwindt
- Department of Neurology, Leiden University Medical Center, the Netherlands. (E.A.K., S.V., I.R., G.M.T., M.J.H.W.)
| | - Catharina J M Klijn
- Department of Neurology, Donders Institute for Brain, Cognition and Behaviour, Radboud University Medical Center, Nijmegen, the Netherlands (F.H.B.M.S., C.J.M.K.)
| | - Marianne A A van Walderveen
- Department of Radiology, Leiden University Medical Center, the Netherlands. (T.W.v.H., M.A.v.B., M.J.P.v.O., M.A.A.v.W.)
| | - Marieke J H Wermer
- Department of Neurology, Leiden University Medical Center, the Netherlands. (E.A.K., S.V., I.R., G.M.T., M.J.H.W.)
| |
Collapse
|
20
|
Rasing I, Voigt S, Koemans EA, van Zwet E, de Kruijff PC, van Harten TW, van Etten ES, van Rooden S, van der Weerd L, van Buchem MA, van Osch MJP, Greenberg SM, van Walderveen MAA, Terwindt GM, Wermer MJH. Occipital Cortical Calcifications in Cerebral Amyloid Angiopathy. Stroke 2021; 52:1851-1855. [PMID: 33813865 DOI: 10.1161/strokeaha.120.033286] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
[Figure: see text].
Collapse
Affiliation(s)
- Ingeborg Rasing
- Departments of Neurology (I.R., S.V., E.A.K., P.C.d.K., E.S.v.E., G.M.T., M.J.H.W.), Leiden University Medical Center, the Netherlands
| | - Sabine Voigt
- Departments of Neurology (I.R., S.V., E.A.K., P.C.d.K., E.S.v.E., G.M.T., M.J.H.W.), Leiden University Medical Center, the Netherlands
| | - Emma A Koemans
- Departments of Neurology (I.R., S.V., E.A.K., P.C.d.K., E.S.v.E., G.M.T., M.J.H.W.), Leiden University Medical Center, the Netherlands
| | - Erik van Zwet
- Biomedical Data Sciences (E.v.Z.), Leiden University Medical Center, the Netherlands
| | - Paul C de Kruijff
- Departments of Neurology (I.R., S.V., E.A.K., P.C.d.K., E.S.v.E., G.M.T., M.J.H.W.), Leiden University Medical Center, the Netherlands
| | - Thijs W van Harten
- Radiology (T.W.v.H., S.v.R., L.v.d.W., M.A.v.B., M.J.P.v.O., M.A.A.v.M.), Leiden University Medical Center, the Netherlands
| | - Ellis S van Etten
- Departments of Neurology (I.R., S.V., E.A.K., P.C.d.K., E.S.v.E., G.M.T., M.J.H.W.), Leiden University Medical Center, the Netherlands
| | - Sanneke van Rooden
- Radiology (T.W.v.H., S.v.R., L.v.d.W., M.A.v.B., M.J.P.v.O., M.A.A.v.M.), Leiden University Medical Center, the Netherlands
| | - Louise van der Weerd
- Radiology (T.W.v.H., S.v.R., L.v.d.W., M.A.v.B., M.J.P.v.O., M.A.A.v.M.), Leiden University Medical Center, the Netherlands.,Human Genetics (L.v.d.W.), Leiden University Medical Center, the Netherlands
| | - Mark A van Buchem
- Radiology (T.W.v.H., S.v.R., L.v.d.W., M.A.v.B., M.J.P.v.O., M.A.A.v.M.), Leiden University Medical Center, the Netherlands
| | - Matthias J P van Osch
- Radiology (T.W.v.H., S.v.R., L.v.d.W., M.A.v.B., M.J.P.v.O., M.A.A.v.M.), Leiden University Medical Center, the Netherlands
| | - Steven M Greenberg
- Department of Neurology, Massachusetts General Hospital, Boston (S.M.G.)
| | - Marianne A A van Walderveen
- Radiology (T.W.v.H., S.v.R., L.v.d.W., M.A.v.B., M.J.P.v.O., M.A.A.v.M.), Leiden University Medical Center, the Netherlands
| | - Gisela M Terwindt
- Departments of Neurology (I.R., S.V., E.A.K., P.C.d.K., E.S.v.E., G.M.T., M.J.H.W.), Leiden University Medical Center, the Netherlands
| | - Marieke J H Wermer
- Departments of Neurology (I.R., S.V., E.A.K., P.C.d.K., E.S.v.E., G.M.T., M.J.H.W.), Leiden University Medical Center, the Netherlands
| |
Collapse
|
21
|
Pirson FAVA, Hinsenveld WH, Goldhoorn RJB, Staals J, de Ridder IR, van Zwam WH, van Walderveen MAA, Lycklama À Nijeholt GJ, Uyttenboogaart M, Schonewille WJ, van der Lugt A, Dippel DWJ, Roos YBWEM, Majoie CBLM, van Oostenbrugge RJ. MR CLEAN-LATE, a multicenter randomized clinical trial of endovascular treatment of acute ischemic stroke in The Netherlands for late arrivals: study protocol for a randomized controlled trial. Trials 2021; 22:160. [PMID: 33627168 PMCID: PMC7903604 DOI: 10.1186/s13063-021-05092-0] [Citation(s) in RCA: 31] [Impact Index Per Article: 10.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2020] [Accepted: 02/02/2021] [Indexed: 11/28/2022] Open
Abstract
Background Endovascular therapy (EVT) for acute ischemic stroke due to proximal occlusion of the anterior intracranial circulation, started within 6 h from symptom onset, has been proven safe and effective. Recently, EVT has been proven effective beyond the 6-h time window in a highly selected population using CT perfusion or MR diffusion. Unfortunately, these imaging modalities are not available in every hospital, and strict selection criteria might exclude patients who could still benefit from EVT. The presence of collaterals on CT angiography (CTA) may offer a more pragmatic imaging criterion that predicts possible benefit from EVT beyond 6 h from time last known well. The aim of this study is to assess the safety and efficacy of EVT for patients treated between 6 and 24 h from time last known well after selection based on the presence of collateral flow. Methods The MR CLEAN-LATE trial is a multicenter, randomized, open-label, blinded endpoint trial, aiming to enroll 500 patients. We will investigate the efficacy of EVT between 6 and 24 h from time last known well in acute ischemic stroke due to a proximal intracranial anterior circulation occlusion confirmed by CTA or MRA. Patients with any collateral flow (poor, moderate, or good collaterals) on CTA will be included. The inclusion of poor collateral status will be restricted to a maximum of 100 patients. In line with the current Dutch guidelines, patients who fulfill the characteristics of included patients in DAWN and DEFUSE 3 will be excluded as they are eligible for EVT as standard care. The primary endpoint is functional outcome at 90 days, assessed with the modified Rankin Scale (mRS) score. Treatment effect will be estimated with ordinal logistic regression (shift analysis) on the mRS at 90 days. Secondary endpoints include clinical stroke severity at 24 h and 5–7 days assessed by the NIHSS, symptomatic intracranial hemorrhage, recanalization at 24 h, follow-up infarct size, and mortality at 90 days, Discussion This study will provide insight into whether EVT is safe and effective for patients treated between 6 and 24 h from time last known well after selection based on the presence of collateral flow on CTA. Trial registration NL58246.078.17, ISRCTN19922220, Registered on 11 December 2017 Supplementary Information The online version contains supplementary material available at 10.1186/s13063-021-05092-0.
Collapse
Affiliation(s)
- F A V Anne Pirson
- Department of Neurology, Maastricht University Medical Center, Postbus 5800, Maastricht, 6202 AZ, The Netherlands
| | - Wouter H Hinsenveld
- Department of Neurology, Maastricht University Medical Center, Postbus 5800, Maastricht, 6202 AZ, The Netherlands
| | - Robert-Jan B Goldhoorn
- Department of Neurology, Maastricht University Medical Center, Postbus 5800, Maastricht, 6202 AZ, The Netherlands
| | - Julie Staals
- Department of Neurology, Maastricht University Medical Center, Postbus 5800, Maastricht, 6202 AZ, The Netherlands
| | - Inger R de Ridder
- Department of Neurology, Maastricht University Medical Center, Postbus 5800, Maastricht, 6202 AZ, The Netherlands
| | - Wim H van Zwam
- Department of Radiology, Maastricht University Medical Center, Maastricht, The Netherlands
| | | | | | - Maarten Uyttenboogaart
- Department of Neurology and Department of Radiology, University of Groningen, Groningen, The Netherlands
| | | | - Aad van der Lugt
- Department of Radiology and Nuclear Medicine, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Diederik W J Dippel
- Department of Neurology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Yvo B W E M Roos
- Department of Neurology, Amsterdam University Medical Center, location AMC, Amsterdam, The Netherlands
| | - Charles B L M Majoie
- Department of Radiology and Nuclear Medicine, Amsterdam University Medical Center, location AMC, Amsterdam, The Netherlands
| | - Robert J van Oostenbrugge
- Department of Neurology, Maastricht University Medical Center, Postbus 5800, Maastricht, 6202 AZ, The Netherlands.
| | | |
Collapse
|
22
|
van Etten ES, Kaushik K, van Zwet EW, Voigt S, van Walderveen MAA, van Buchem MA, Terwindt GM, Wermer MJH. Sensitivity of the Edinburgh Criteria for Lobar Intracerebral Hemorrhage in Hereditary Cerebral Amyloid Angiopathy. Stroke 2020; 51:3608-3612. [PMID: 33148142 DOI: 10.1161/strokeaha.120.031264] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE The Edinburgh computed tomography and genetic criteria enable diagnosis of cerebral amyloid angiopathy (CAA) associated lobar intracerebral hemorrhage (ICH) but have not been validated in living patients. We assessed the sensitivity of the Edinburgh criteria in patients with acute lobar ICH due to Dutch-type hereditary CAA; a genetic and pure form of CAA. METHODS We retrospectively analyzed computed tomography-scans from a cohort of consecutive Dutch-type hereditary CAA patients who presented with ≥1 episode(s) of acute lobar ICH at the Leiden University Medical Center. Presence of subarachnoid hemorrhage (SAH) and finger-like projections (FLP) were determined. Association of SAH and FLP with ICH volume was analyzed using multivariate linear regression. RESULTS We included 55 Dutch-type hereditary CAA patients (mean age 56 years, 55% men) with a total of 107 episodes of acute lobar ICH. SAH was present in 82/107 (76%) and FLP in 62/107 (58%), resulting in a sensitivity of 76% for SAH and 58% for FLP. In 56 (52%), both markers were present. Nineteen (18%) lobar ICH showed no SAH extension or FLP. ICH volume was significantly associated with presence of SAH (median volume 4 versus 28 mL; P=0.001) and presence of FLP (median volume 7 versus 39 mL; P<0.001). With an ICH volume of ≥40 mL, the sensitivity of the presence of both SAH and FLP was >81% (95% CI, 70%-92%), whereas in ICH volumes <15 mL the sensitivity was <50%. CONCLUSIONS The computed tomography-based Edinburgh criteria seem to be a sensitive diagnostic test for CAA-associated lobar ICH, although they should be used with caution in small-sized lobar ICH.
Collapse
Affiliation(s)
- Ellis S van Etten
- Department of Neurology (E.S.v.E., K.K., S.V., G.M.T., M.J.H.W.), Leiden University Medical Center, Leiden, the Netherlands
| | - Kanishk Kaushik
- Department of Neurology (E.S.v.E., K.K., S.V., G.M.T., M.J.H.W.), Leiden University Medical Center, Leiden, the Netherlands
| | - Erik W van Zwet
- Department of Biomedical Data Sciences (E.W.v.Z.), Leiden University Medical Center, Leiden, the Netherlands
| | - Sabine Voigt
- Department of Neurology (E.S.v.E., K.K., S.V., G.M.T., M.J.H.W.), Leiden University Medical Center, Leiden, the Netherlands
| | | | - Mark A van Buchem
- Department of Radiology (M.A.A.v.W., M.A.v.B.), Leiden University Medical Center, Leiden, the Netherlands
| | - Gisela M Terwindt
- Department of Neurology (E.S.v.E., K.K., S.V., G.M.T., M.J.H.W.), Leiden University Medical Center, Leiden, the Netherlands
| | - Marieke J H Wermer
- Department of Neurology (E.S.v.E., K.K., S.V., G.M.T., M.J.H.W.), Leiden University Medical Center, Leiden, the Netherlands
| |
Collapse
|
23
|
van der Meij A, van Walderveen MAA, Kruyt ND, van Zwet EW, Liebler EJ, Ferrari MD, Wermer MJH. NOn-invasive Vagus nerve stimulation in acute Ischemic Stroke (NOVIS): a study protocol for a randomized clinical trial. Trials 2020; 21:878. [PMID: 33106174 PMCID: PMC7586413 DOI: 10.1186/s13063-020-04794-1] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2020] [Accepted: 10/10/2020] [Indexed: 12/12/2022] Open
Abstract
Background Secondary damage due to neurochemical and inflammatory changes in the penumbra in the first days after ischemic stroke contributes substantially to poor clinical outcome. In animal models, vagus nerve stimulation (VNS) inhibits these detrimental changes and thereby reduces tissue injury. The aim of this study is to investigate whether non-invasive cervical VNS (nVNS) in addition to the current standard treatment can improve penumbral recovery and limit final infarct volume. Methods NOVIS is a single-center prospective randomized clinical trial with blinded outcome assessment. One hundred fifty patients will be randomly allocated (1:1) within 12 h from clinical stroke onset to nVNS for 5 days in addition to standard treatment versus standard treatment alone. The primary endpoint is the final infarct volume on day 5 assessed with MRI. Discussion We hypothesize that nVNS will result in smaller final infarct volumes as compared to standard treatment due to improved penumbral recovery. The results of this study will be used to assess the viability and approach to power a larger trial to more definitively assess the clinical efficacy of nVNS after stroke. Trial registration ClinicalTrials.govNCT04050501. Registered on 8 August 2019
Collapse
Affiliation(s)
- Anne van der Meij
- Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands.
| | | | - Nyika D Kruyt
- Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands
| | - Erik W van Zwet
- Department of Medical Statistics, Leiden University Medical Center, Leiden, the Netherlands
| | | | - Michel D Ferrari
- Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands
| | - Marieke J H Wermer
- Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands
| |
Collapse
|
24
|
Ramos LA, Kappelhof M, van Os HJA, Chalos V, Van Kranendonk K, Kruyt ND, Roos YBWEM, van der Lugt A, van Zwam WH, van der Schaaf IC, Zwinderman AH, Strijkers GJ, van Walderveen MAA, Wermer MJH, Olabarriaga SD, Majoie CBLM, Marquering HA. Predicting Poor Outcome Before Endovascular Treatment in Patients With Acute Ischemic Stroke. Front Neurol 2020; 11:580957. [PMID: 33178123 PMCID: PMC7593486 DOI: 10.3389/fneur.2020.580957] [Citation(s) in RCA: 19] [Impact Index Per Article: 4.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Accepted: 09/07/2020] [Indexed: 12/31/2022] Open
Abstract
Background: Although endovascular treatment (EVT) has greatly improved outcomes in acute ischemic stroke, still one third of patients die or remain severely disabled after stroke. If we could select patients with poor clinical outcome despite EVT, we could prevent futile treatment, avoid treatment complications, and further improve stroke care. We aimed to determine the accuracy of poor functional outcome prediction, defined as 90-day modified Rankin Scale (mRS) score ≥5, despite EVT treatment. Methods: We included 1,526 patients from the MR CLEAN Registry, a prospective, observational, multicenter registry of ischemic stroke patients treated with EVT. We developed machine learning prediction models using all variables available at baseline before treatment. We optimized the models for both maximizing the area under the curve (AUC), reducing the number of false positives. Results: From 1,526 patients included, 480 (31%) of patients showed poor outcome. The highest AUC was 0.81 for random forest. The highest area under the precision recall curve was 0.69 for the support vector machine. The highest achieved specificity was 95% with a sensitivity of 34% for neural networks, indicating that all models contained false positives in their predictions. From 921 mRS 0–4 patients, 27–61 (3–6%) were incorrectly classified as poor outcome. From 480 poor outcome patients in the registry, 99–163 (21–34%) were correctly identified by the models. Conclusions: All prediction models showed a high AUC. The best-performing models correctly identified 34% of the poor outcome patients at a cost of misclassifying 4% of non-poor outcome patients. Further studies are necessary to determine whether these accuracies are reproducible before implementation in clinical practice.
Collapse
Affiliation(s)
- Lucas A Ramos
- Department of Biomedical Engineering and Physics, University of Amsterdam, Amsterdam, Netherlands.,Department of Clinical Epidemiology and Biostatistics, University of Amsterdam, Amsterdam, Netherlands
| | - Manon Kappelhof
- Department of Radiology and Nuclear Medicine, University of Amsterdam, Amsterdam, Netherlands
| | | | - Vicky Chalos
- Department of Neurology, Erasmus MC - University Medical Center, Rotterdam, Netherlands.,Department of Public Health, Erasmus MC - University Medical Center, Rotterdam, Netherlands.,Department of Radiology and Nuclear Medicine, Erasmus MC - University Medical Center, Rotterdam, Netherlands
| | - Katinka Van Kranendonk
- Department of Radiology and Nuclear Medicine, University of Amsterdam, Amsterdam, Netherlands
| | - Nyika D Kruyt
- Department of Neurology, Leiden University Medical Center, Leiden, Netherlands
| | - Yvo B W E M Roos
- Department of Neurology, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - Aad van der Lugt
- Department of Radiology and Nuclear Medicine, Erasmus MC - University Medical Center, Rotterdam, Netherlands
| | - Wim H van Zwam
- Department of Radiology, Cardiovascular Research Institute Maastricht, Maastricht University Medical Center, Maastricht, Netherlands
| | | | - Aeilko H Zwinderman
- Department of Clinical Epidemiology and Biostatistics, University of Amsterdam, Amsterdam, Netherlands
| | - Gustav J Strijkers
- Department of Biomedical Engineering and Physics, University of Amsterdam, Amsterdam, Netherlands.,Department of Radiology and Nuclear Medicine, University of Amsterdam, Amsterdam, Netherlands
| | | | - Mariekke J H Wermer
- Department of Neurology, Leiden University Medical Center, Leiden, Netherlands
| | - Silvia D Olabarriaga
- Department of Clinical Epidemiology and Biostatistics, University of Amsterdam, Amsterdam, Netherlands
| | - Charles B L M Majoie
- Department of Radiology and Nuclear Medicine, University of Amsterdam, Amsterdam, Netherlands
| | - Henk A Marquering
- Department of Biomedical Engineering and Physics, University of Amsterdam, Amsterdam, Netherlands.,Department of Radiology and Nuclear Medicine, University of Amsterdam, Amsterdam, Netherlands
| |
Collapse
|
25
|
Kauw F, Greving JP, Takx RAP, de Jong HWAM, Schonewille WJ, Vos JA, Wermer MJH, van Walderveen MAA, Kappelle LJ, Velthuis BK, Dankbaar JW. Prediction of long-term recurrent ischemic stroke: the added value of non-contrast CT, CT perfusion, and CT angiography. Neuroradiology 2020; 63:483-490. [PMID: 32857214 PMCID: PMC7966192 DOI: 10.1007/s00234-020-02526-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Accepted: 08/16/2020] [Indexed: 11/30/2022]
Abstract
Purpose The aim of this study was to evaluate whether the addition of brain CT imaging data to a model incorporating clinical risk factors improves prediction of ischemic stroke recurrence over 5 years of follow-up. Methods A total of 638 patients with ischemic stroke from three centers were selected from the Dutch acute stroke study (DUST). CT-derived candidate predictors included findings on non-contrast CT, CT perfusion, and CT angiography. Five-year follow-up data were extracted from medical records. We developed a multivariable Cox regression model containing clinical predictors and an extended model including CT-derived predictors by applying backward elimination. We calculated net reclassification improvement and integrated discrimination improvement indices. Discrimination was evaluated with the optimism-corrected c-statistic and calibration with a calibration plot. Results During 5 years of follow-up, 56 patients (9%) had a recurrence. The c-statistic of the clinical model, which contained male sex, history of hyperlipidemia, and history of stroke or transient ischemic attack, was 0.61. Compared with the clinical model, the extended model, which contained previous cerebral infarcts on non-contrast CT and Alberta Stroke Program Early CT score greater than 7 on mean transit time maps derived from CT perfusion, had higher discriminative performance (c-statistic 0.65, P = 0.01). Inclusion of these CT variables led to a significant improvement in reclassification measures, by using the net reclassification improvement and integrated discrimination improvement indices. Conclusion Data from CT imaging significantly improved the discriminatory performance and reclassification in predicting ischemic stroke recurrence beyond a model incorporating clinical risk factors only. Electronic supplementary material The online version of this article (10.1007/s00234-020-02526-5) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Frans Kauw
- Department of Radiology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands. .,Brain Center, Department of Neurology and Neurosurgery, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.
| | - Jacoba P Greving
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Richard A P Takx
- Department of Radiology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
| | - Hugo W A M de Jong
- Department of Radiology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
| | | | - Jan A Vos
- Department of Radiology, St. Antonius Hospital, Nieuwegein, The Netherlands
| | - Marieke J H Wermer
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | | | - L Jaap Kappelle
- Brain Center, Department of Neurology and Neurosurgery, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands
| | - Birgitta K Velthuis
- Department of Radiology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
| | - Jan W Dankbaar
- Department of Radiology, University Medical Center Utrecht, Utrecht University, Heidelberglaan 100, 3584 CX, Utrecht, The Netherlands
| | | |
Collapse
|
26
|
Brouwers JJWM, Versluijs Y, van Walderveen MAA, Hamming JF, Schepers A. Imaging Assessment of Carotid Artery Stenosis Varies in Clinical Practice. Eur J Vasc Endovasc Surg 2020; 60:632-633. [PMID: 32788053 DOI: 10.1016/j.ejvs.2020.07.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2020] [Revised: 06/30/2020] [Accepted: 07/07/2020] [Indexed: 10/23/2022]
Affiliation(s)
- Jeroen J W M Brouwers
- Department of Vascular Surgery, Leiden University Medical Centre, Leiden, the Netherlands.
| | - Yvonne Versluijs
- Department of Vascular Surgery, Leiden University Medical Centre, Leiden, the Netherlands
| | | | - Jaap F Hamming
- Department of Vascular Surgery, Leiden University Medical Centre, Leiden, the Netherlands
| | - Abbey Schepers
- Department of Vascular Surgery, Leiden University Medical Centre, Leiden, the Netherlands
| |
Collapse
|
27
|
van Dam LF, van Walderveen MAA, Kroft LJM, Kruyt ND, Wermer MJH, van Osch MJP, Huisman MV, Klok FA. Current imaging modalities for diagnosing cerebral vein thrombosis - A critical review. Thromb Res 2020; 189:132-139. [PMID: 32220779 DOI: 10.1016/j.thromres.2020.03.011] [Citation(s) in RCA: 20] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2019] [Revised: 02/17/2020] [Accepted: 03/17/2020] [Indexed: 12/19/2022]
Abstract
Cerebral vein thrombosis (CVT) is a rare presentation of venous thromboembolism. Prompt and accurate diagnosis is essential as delayed recognition and treatment may lead to permanent disability or even death. Since no validated diagnostic algorithms exist, the diagnosis of CVT mainly relies on neuroimaging. Digital subtraction angiography (DSA) is the historical diagnostic standard for CVT, but is rarely used nowadays and replaced by computed tomography (CT) and magnetic resonance imaging (MRI). High quality studies to evaluate the diagnostic test characteristics of state of the art imaging modalities are however unavailable to date. This review provides an overview of the best available evidence regarding the diagnostic performance of CT and MRI for the diagnosis of CVT. Notably, available studies are observational, mostly small, outdated, and with a high risk of bias. Therefore, direct comparison between studies is difficult due to large diversity in study design, imaging method, reference standard, patient selection and sample size. In general, contrast-enhanced techniques are more accurate for the diagnosis of CVT then non-contrast-enhanced techniques. CT venography and MRI have been both reported to be adequate for establishing a final diagnosis of CVT, but choice of modality as used in clinical practice depends on availability, local preference and experience, as well as patient characteristics. Our review underlines the need for high-quality diagnostic studies comparing CT venography and MRI in specific settings, to improve clinical care and standardize clinical trials.
Collapse
Affiliation(s)
- Lisette F van Dam
- Department of Thrombosis and Hemostasis, Leiden University Medical Center, Leiden, the Netherlands.
| | | | - Lucia J M Kroft
- Department of Radiology, Leiden University Medical Center, Leiden, the Netherlands
| | - Nyika D Kruyt
- Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands
| | - Marieke J H Wermer
- Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands
| | | | - Menno V Huisman
- Department of Thrombosis and Hemostasis, Leiden University Medical Center, Leiden, the Netherlands
| | - Frederikus A Klok
- Department of Thrombosis and Hemostasis, Leiden University Medical Center, Leiden, the Netherlands
| |
Collapse
|
28
|
Koemans EA, Voigt S, Rasing I, van Etten ES, van Zwet EW, van Walderveen MAA, Wermer MJH, Terwindt GM. Migraine With Aura as Early Disease Marker in Hereditary Dutch-Type Cerebral Amyloid Angiopathy. Stroke 2020; 51:1094-1099. [PMID: 32114932 DOI: 10.1161/strokeaha.119.028170] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Background and Purpose- To determine whether migraine, which has often been described as an inaugural manifestation in monogenic cerebrovascular syndromes, is associated with cerebral amyloid pathology, we assessed migraine and its correlation with magnetic resonance imaging markers in Hereditary Dutch-Type Cerebral Amyloid Angiopathy (D-CAA or Hereditary Cerebral Hemorrhage With Amyloidosis-Dutch type). Methods- All D-CAA mutation carriers who visited our clinic between 2012 and 2018 were included. Migraine was diagnosed by an interview and classified according to the International Classification of Headache Disorders. Magnetic resonance imaging scans were scored for intracerebral hemorrhage (ICH) location(s) and presence of cortical superficial siderosis. Kaplan Meier survival analysis was used for age of ICH onset in carriers with and without migraine. Correlation with ICH location(s) and cortical superficial siderosis were calculated with Poisson regression analysis adjusted for confounders. Results- We included 86 D-CAA mutation carriers (57% women, mean age 57 years), 48 (56%) suffered from migraine, all with aura. Prevalence was higher than expected compared with the general population (women, P<0.05; men, P<0.001). Migraine was the inaugural symptom in 77% and an isolated symptom in 35% of the carriers. Carriers with and without migraine did not differ for age of first ICH, cortical superficial siderosis prevalence, or occipital ICH. Time between migraine onset and first ICH was 8.5 years. Aura attacks lasting ≥60 minutes signaled acute ICH in 55%. Conclusions- Migraine with aura is an important, often inaugural, symptom in D-CAA. Aura attacks lasting ≥60 minutes may signal acute ICH in D-CAA. Migraine with aura may be regarded as an early marker of disease in hereditary CAA preceding the occurrence of symptomatic ICH by several years.
Collapse
Affiliation(s)
- Emma A Koemans
- From the Department of Neurology (E.A.K., S.V., I.R., E.S.v.E., M.J.H.W., G.M.T.), Leiden University Medical Center, the Netherlands
| | - Sabine Voigt
- From the Department of Neurology (E.A.K., S.V., I.R., E.S.v.E., M.J.H.W., G.M.T.), Leiden University Medical Center, the Netherlands
| | - Ingeborg Rasing
- From the Department of Neurology (E.A.K., S.V., I.R., E.S.v.E., M.J.H.W., G.M.T.), Leiden University Medical Center, the Netherlands
| | - Ellis S van Etten
- From the Department of Neurology (E.A.K., S.V., I.R., E.S.v.E., M.J.H.W., G.M.T.), Leiden University Medical Center, the Netherlands
| | - Erik W van Zwet
- Department of Biomedical Data Sciences (E.W.v.Z.), Leiden University Medical Center, the Netherlands
| | | | - Marieke J H Wermer
- From the Department of Neurology (E.A.K., S.V., I.R., E.S.v.E., M.J.H.W., G.M.T.), Leiden University Medical Center, the Netherlands
| | - Gisela M Terwindt
- From the Department of Neurology (E.A.K., S.V., I.R., E.S.v.E., M.J.H.W., G.M.T.), Leiden University Medical Center, the Netherlands
| |
Collapse
|
29
|
Koopman MS, Berkhemer OA, Geuskens RREG, Emmer BJ, van Walderveen MAA, Jenniskens SFM, van Zwam WH, van Oostenbrugge RJ, van der Lugt A, Dippel DWJ, Beenen LF, Roos YBWEM, Marquering HA, Majoie CBLM. Comparison of three commonly used CT perfusion software packages in patients with acute ischemic stroke. J Neurointerv Surg 2019; 11:1249-1256. [DOI: 10.1136/neurintsurg-2019-014822] [Citation(s) in RCA: 37] [Impact Index Per Article: 7.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2019] [Revised: 04/13/2019] [Accepted: 04/17/2019] [Indexed: 12/27/2022]
Abstract
Background and purposeCT perfusion (CTP) might support decision making in patients with acute ischemic stroke by providing perfusion maps of ischemic tissue. Currently, the reliability of CTP is hampered by varying results between different post-processing software packages. The purpose of this study is to compare ischemic core volumes estimated by IntelliSpace Portal (ISP) and syngo.via with core volumes as estimated by RAPID.MethodsThirty-five CTP datasets from patients in the MR CLEAN trial were post-processed. Core volumes were estimated with ISP using default settings and with syngo.via using three different settings: default settings (method A); additional smoothing filter (method B); and adjusted settings (method C). The results were compared with RAPID. Agreement between methods was assessed using Bland–Altman analysis and intraclass correlation coefficient (ICC). Accuracy for detecting volumes up to 25 mL, 50 mL, and 70 mL was assessed. Final infarct volumes were determined on follow-up non-contrast CT.ResultsMedian core volume was 50 mL with ISP, 41 mL with syngo.via method A, 20 mL with method B, 36 mL with method C, and 11 mL with RAPID. Agreement ranged from poor (ISP: ICC 0.41; method A: ICC 0.23) to good (method B: ICC 0.83; method C: ICC 0.85). The bias (1.8 mL) and limits of agreement (−27, 31 mL) were the smallest with syngo.via with additional smoothing (method B). Agreement for detecting core volumes ≤25 mL with ISP was 54% and 57%, 85% and 74% for syngo.via methods A, B, and C, respectively.ConclusionBest agreement with RAPID software is provided by syngo.via default settings with additional smoothing. Moreover, this method has the highest agreement in categorizing patients with small core volumes.
Collapse
|
30
|
Hamming AM, van Walderveen MAA, Mulder IA, van der Schaaf IC, Kappelle LJ, Velthuis BK, Ferrari MD, Terwindt GM, Visser MC, Schonewille W, Algra A, Wermer MJH. Circle of Willis variations in migraine patients with ischemic stroke. Brain Behav 2019; 9:e01223. [PMID: 30772952 PMCID: PMC6422794 DOI: 10.1002/brb3.1223] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2018] [Revised: 12/18/2018] [Accepted: 12/22/2018] [Indexed: 01/03/2023] Open
Abstract
OBJECTIVES Migraine is a risk factor for stroke, which might be explained by a higher prevalence in anatomical variants in the circle of Willis (CoW). Here, we compared the presence of CoW variants in patients with stroke with and without migraine. MATERIALS AND METHODS Participants were recruited from the prospective Dutch acute Stroke Study. All participants underwent CT angiography on admission. Lifetime migraine history was assessed with a screening questionnaire and confirmed by an interview based on International Classification of Headache Disorders criteria. The CoW was assessed for incompleteness/hypoplasia (any segment <1 mm), for anterior cerebral artery asymmetry (difference > 1/3), and for posterior communicating artery (Pcom) dominance (Pcom-P1 difference > 1/3). Odds ratios with adjustments for age and sex (aOR) were calculated with logistic regression. RESULTS We included 646 participants with stroke, of whom 52 had a history of migraine. Of these, 45 (87%) had an incomplete or hypoplastic CoW versus 506 (85%) of the 594 participants without migraine (aOR: 1.47; 95% CI: 0.63-3.44). There were no differences between participants with and without migraine in variations of the anterior or posterior CoW, anterior cerebral artery asymmetry (aOR: 0.86; 95% CI: 0.43-1.74), or Pcom dominance (aOR: 0.64; 95% CI: 0.32-1.30). There were no differences in CoW variations between migraine patients with or without aura. CONCLUSION We found no significant difference in the completeness of the CoW in acute stroke patients with migraine compared to those without.
Collapse
Affiliation(s)
- Arend M Hamming
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | | | - Inge A Mulder
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | | | - L Jaap Kappelle
- Department of Neurology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Birgitta K Velthuis
- Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Michel D Ferrari
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Gisela M Terwindt
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Marieke C Visser
- Department of Neurology, VU Medical Center, Amsterdam, The Netherlands
| | | | - Ale Algra
- Department of Clinical Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.,The Julius Center, University Medical Center Utrecht, Utrecht, The Netherlands.,Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Marieke J H Wermer
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | | |
Collapse
|
31
|
van Os HJA, Ramos LA, Hilbert A, van Leeuwen M, van Walderveen MAA, Kruyt ND, Dippel DWJ, Steyerberg EW, van der Schaaf IC, Lingsma HF, Schonewille WJ, Majoie CBLM, Olabarriaga SD, Zwinderman KH, Venema E, Marquering HA, Wermer MJH. Predicting Outcome of Endovascular Treatment for Acute Ischemic Stroke: Potential Value of Machine Learning Algorithms. Front Neurol 2018; 9:784. [PMID: 30319525 PMCID: PMC6167479 DOI: 10.3389/fneur.2018.00784] [Citation(s) in RCA: 76] [Impact Index Per Article: 12.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2018] [Accepted: 08/30/2018] [Indexed: 11/24/2022] Open
Abstract
Background: Endovascular treatment (EVT) is effective for stroke patients with a large vessel occlusion (LVO) of the anterior circulation. To further improve personalized stroke care, it is essential to accurately predict outcome after EVT. Machine learning might outperform classical prediction methods as it is capable of addressing complex interactions and non-linear relations between variables. Methods: We included patients from the Multicenter Randomized Clinical Trial of Endovascular Treatment for Acute Ischemic Stroke in the Netherlands (MR CLEAN) Registry, an observational cohort of LVO patients treated with EVT. We applied the following machine learning algorithms: Random Forests, Support Vector Machine, Neural Network, and Super Learner and compared their predictive value with classic logistic regression models using various variable selection methodologies. Outcome variables were good reperfusion (post-mTICI ≥ 2b) and functional independence (modified Rankin Scale ≤2) at 3 months using (1) only baseline variables and (2) baseline and treatment variables. Area under the ROC-curves (AUC) and difference of mean AUC between the models were assessed. Results: We included 1,383 EVT patients, with good reperfusion in 531 (38%) and functional independence in 525 (38%) patients. Machine learning and logistic regression models all performed poorly in predicting good reperfusion (range mean AUC: 0.53–0.57), and moderately in predicting 3-months functional independence (range mean AUC: 0.77–0.79) using only baseline variables. All models performed well in predicting 3-months functional independence using both baseline and treatment variables (range mean AUC: 0.88–0.91) with a negligible difference of mean AUC (0.01; 95%CI: 0.00–0.01) between best performing machine learning algorithm (Random Forests) and best performing logistic regression model (based on prior knowledge). Conclusion: In patients with LVO machine learning algorithms did not outperform logistic regression models in predicting reperfusion and 3-months functional independence after endovascular treatment. For all models at time of admission radiological outcome was more difficult to predict than clinical outcome.
Collapse
Affiliation(s)
| | - Lucas A Ramos
- Department of Biomedical Engineering and Physics, University of Amsterdam, Amsterdam, Netherlands.,Department of Clinical Epidemiology and Biostatistics, University of Amsterdam, Amsterdam, Netherlands
| | - Adam Hilbert
- Department of Biomedical Engineering and Physics, University of Amsterdam, Amsterdam, Netherlands
| | - Matthijs van Leeuwen
- Leiden Institute for Advanced Computer Sciences, Leiden University, Leiden, Netherlands
| | | | - Nyika D Kruyt
- Department of Neurology, Leiden University Medical Center, Leiden, Netherlands
| | | | - Ewout W Steyerberg
- Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, Netherlands.,Department of Public Health, Erasmus Medical Center, Rotterdam, Netherlands
| | | | - Hester F Lingsma
- Department of Public Health, Erasmus Medical Center, Rotterdam, Netherlands
| | | | - Charles B L M Majoie
- Department of Radiology and Nuclear Medicine, University of Amsterdam, Amsterdam, Netherlands
| | - Silvia D Olabarriaga
- Department of Clinical Epidemiology and Biostatistics, University of Amsterdam, Amsterdam, Netherlands
| | - Koos H Zwinderman
- Department of Clinical Epidemiology and Biostatistics, University of Amsterdam, Amsterdam, Netherlands
| | - Esmee Venema
- Department of Neurology, Erasmus Medical Center, Rotterdam, Netherlands.,Department of Public Health, Erasmus Medical Center, Rotterdam, Netherlands
| | - Henk A Marquering
- Department of Biomedical Engineering and Physics, University of Amsterdam, Amsterdam, Netherlands
| | - Marieke J H Wermer
- Department of Neurology, Leiden University Medical Center, Leiden, Netherlands
| | | |
Collapse
|
32
|
Koster GT, Nguyen TTM, Groot AED, Coutinho JM, Bosch J, den Hertog HM, van Walderveen MAA, Algra A, Wermer MJH, Roos YB, Kruyt ND. A Reduction in Time with Electronic Monitoring In Stroke (ARTEMIS): study protocol for a randomised multicentre trial. BMJ Open 2018; 8:e020844. [PMID: 29950465 PMCID: PMC6020955 DOI: 10.1136/bmjopen-2017-020844] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/19/2023] Open
Abstract
INTRODUCTION Time is the most crucial factor limiting efficacy of intravenous thrombolysis (IVT) and intra-arterial thrombectomy (IAT). The delay between alarming the Emergency Medical Services (EMS) dispatch office and IVT/IAT initiation, that is, the 'total system delay' (TSD), depends on logistics and team effort. A promising method to reduce TSD is real-time audio-visual feedback to caregivers involved. With 'A Reduction in Time with Electronic Monitoring in Stroke' (ARTEMIS), we aim to investigate the effect of real-time audio-visual feedback on actual TSD to IVT/IAT to caregivers. METHODS AND ANALYSIS ARTEMIS is a multiregional, multicentre, randomised open end-point trial including patients ≥18 years considered IVT/IAT-eligible by the EMS dispatch office or on-site EMS personnel. Patients are electronically tracked and randomised for real-time audio-visual feedback on TSD to caregivers via premounted handhelds and tablets throughout the TSD trajectory. Primary outcome is TSD to IVT/IAT. Secondary outcomes comprise proportion of IVT/IAT-treated patients, symptomatic intracerebral haemorrhage, IVT/IAT-treated stroke mimics, clinical outcome after three months and cost-effectiveness. Separate analyses for IAT-patients with or without prior IVT, within or out of office hours and EMS region will be performed. With 75 IAT-patients and 225 IVT-patients in each arm, we will be able to demonstrate a 20 min difference in TSD to IAT and a 10 min difference in TSD to IVT (p=0.05 and power=0.8). ETHICS AND DISSEMINATION Study findings will be disseminated through peer-reviewed journals and (inter)national conference presentations. TRIAL REGISTRATION NUMBER NCT02808806; Pre-results.
Collapse
Affiliation(s)
- Gaia T Koster
- Department of Neurology, Leiden University Medical Centre, Leiden, The Netherlands
| | - T Truc My Nguyen
- Department of Neurology, Leiden University Medical Centre, Leiden, The Netherlands
| | - Adrien E D Groot
- Department of Neurology, Academic Medical Centre, Amsterdam, The Netherlands
| | - Jonathan M Coutinho
- Department of Neurology, Academic Medical Centre, Amsterdam, The Netherlands
| | - Jan Bosch
- Department of Research and Development, Regional Emergency Medical Services Hollands Midden, Leiden, The Netherlands
| | - Heleen M den Hertog
- Department of Neurology, Medical Spectrum Twente, Enschede, The Netherlands
- Department of Neurology, Isala Clinics, Zwolle, the Netherlands
| | | | - Ale Algra
- Julius Centre for Health Sciences and Primary Care, University Medical Centre Utrecht, Utrecht, The Netherlands
- Department of Clinical Epidemiology, Leiden University Medical Centre, Leiden, The Netherlands
| | - Marieke J H Wermer
- Department of Neurology, Leiden University Medical Centre, Leiden, The Netherlands
| | - Yvo B Roos
- Department of Neurology, Academic Medical Centre, Amsterdam, The Netherlands
| | - Nyika D Kruyt
- Department of Neurology, Leiden University Medical Centre, Leiden, The Netherlands
| |
Collapse
|
33
|
Alons IME, Goudsmit BFJ, Jellema K, van Walderveen MAA, Wermer MJH, Algra A. Prediction of vascular abnormalities on CT angiography in patients with acute headache. Brain Behav 2018; 8:e00997. [PMID: 29741225 PMCID: PMC5991573 DOI: 10.1002/brb3.997] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/05/2018] [Revised: 03/29/2018] [Accepted: 04/08/2018] [Indexed: 11/07/2022] Open
Abstract
OBJECTIVES Patients with acute headache increasingly undergo CT-angiography (CTA) to evaluate underlying vascular causes. The aim of this study is to determine clinical and non-contrast CT (NCCT) criteria to select patients who might benefit from CTA. METHODS We retrospectively included patients with acute headache who presented to the emergency department of an academic medical center and large regional teaching hospital and underwent NCCT and CTA. We identified factors that increased the probability of finding a vascular abnormality on CTA, performed multivariable regression analyses and determined discrimination with the c-statistic. RESULTS A total of 384 patients underwent NCCT and CTA due to acute headache. NCCT was abnormal in 194 patients. Among these, we found abnormalities in 116 cases of which 99 aneurysms. In the remaining 190 with normal NCCT we found abnormalities in 12 cases; four unruptured aneurysms, three cerebral venous thrombosis', two reversible cerebral vasoconstriction syndromes, two cervical arterial dissections and one cerebellar infarction. In multivariable analysis abnormal NCCT, lowered consciousness and presentation within 6 hr of headache onset were independently associated with abnormal CTA. The c-statistic of abnormal NCCT alone was 0.80 (95% CI: 0.75-0.80), that also including the other two variables was 0.84 (95% CI: 0.80-0.88). If NCCT was normal no other factors could help identify patients at risk for abnormalities. CONCLUSIONS In patients with acute headache abnormal NCCT is the strongest predictor of a vascular abnormality on CTA. If NCCT is normal no other predictors increase the probability of finding an abnormality on CTA and diagnostic yield is low.
Collapse
Affiliation(s)
- Imanda M E Alons
- Department of Neurology, MCH Westeinde, The Hague, The Netherlands
| | | | - Korné Jellema
- Department of Neurology, MCH Westeinde, The Hague, The Netherlands
| | | | | | - Ale Algra
- Department of Clinical Epidemiology, LUMC, Leiden, The Netherlands.,Department of Neurology and Neurosurgery, Brain Center Rudolph Magnus, UMC Utrecht, Utrecht, The Netherlands.,Julius Center for Health Sciences and Patient Care, UMC Utrecht, Utrecht, The Netherlands
| |
Collapse
|
34
|
Jansen IGH, van Vuuren AB, van Zwam WH, van den Wijngaard IR, Berkhemer OA, Lingsma HF, Slump CH, van Oostenbrugge RJ, Treurniet KM, Dippel DWJ, van Walderveen MAA, van der Lugt A, Roos YBWEM, Marquering HA, Majoie CBLM, van den Berg R. Absence of Cortical Vein Opacification Is Associated with Lack of Intra-arterial Therapy Benefit in Stroke. Radiology 2018; 286:643-650. [DOI: 10.1148/radiol.2017162445] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
|
35
|
Jansen IGH, van Vuuren AB, van Zwam WH, van den Wijngaard IR, Berkhemer OA, Lingsma HF, Slump CH, van Oostenbrugge RJ, Treurniet KM, Dippel DWJ, van Walderveen MAA, van der Lugt A, Roos YBWEM, Marquering HA, Majoie CBLM, van den Berg R. Absence of Cortical Vein Opacification is Associated with Lack of Intra-arterial Therapy Benefit in Stroke. Radiology 2018; 286:731. [PMID: 29356644 DOI: 10.1148/radiol.2017174043] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
|
36
|
van Os HJA, Mulder IA, Broersen A, Algra A, van der Schaaf IC, Kappelle LJ, Velthuis BK, Terwindt GM, Schonewille WJ, Visser MC, Ferrari MD, van Walderveen MAA, Wermer MJH. Migraine and Cerebrovascular Atherosclerosis in Patients With Ischemic Stroke. Stroke 2017; 48:1973-1975. [PMID: 28526767 DOI: 10.1161/strokeaha.116.016133] [Citation(s) in RCA: 30] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2016] [Revised: 03/22/2017] [Accepted: 03/31/2017] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE Migraine is a well-established risk factor for ischemic stroke, but migraine is also related to other vascular diseases. This study aims to investigate the association between migraine and cerebrovascular atherosclerosis in patients with acute ischemic stroke. METHODS We retrieved data on patients with ischemic stroke from the DUST (Dutch Acute Stroke Study). Migraine history was assessed with a migraine screener and confirmed by telephone interview based on the ICHD criteria (International Classification of Headache Disorders). We assessed intra- and extracranial atherosclerotic changes and quantified intracranial internal carotid artery calcifications as measure of atherosclerotic burden on noncontrast computed tomography and computed tomographic angiography. We calculated risk ratios with adjustments for possible confounders with multivariable Poisson regression analyses. RESULTS We included 656 patients, aged 18 to 99 years, of whom 53 had a history of migraine (29 with aura). Patients with migraine did not have more frequent atherosclerotic changes in intracranial (51% versus 74%; adjusted risk ratio, 0.82; 95% confidence interval, 0.64-1.05) or extracranial vessels (62% versus 79%; adjusted risk ratio, 0.93; 95% confidence interval, 0.77-1.12) than patients without migraine and had comparable internal carotid artery calcification volumes (largest versus medium and smallest volume tertile, 23% versus 35%; adjusted risk ratio, 0.93; 95% confidence interval, 0.57-1.52). CONCLUSIONS Migraine is not associated with excess atherosclerosis in large vessels in patients with acute ischemic stroke. Our findings suggest that the biological mechanisms by which migraine results in ischemic stroke are not related to macrovascular cerebral atherosclerosis.
Collapse
Affiliation(s)
- Hendrikus J A van Os
- From the Department of Neurology (H.J.A.v.O., I.A.M., G.M.T., M.D.F., M.J.H.W.), Radiology (A.B., M.A.A.v.W.), and Clinical Epidemiology (A.A.), Leiden University Medical Center, the Netherlands; Department of Radiology (I.C.v.d.S., B.K.V.), Neurology (L.J.K.), and Julius Center for Health Sciences and Primary Care (A.A.), University Medical Center Utrecht, the Netherlands; Department of Neurology, St Antonius Hospital, Nieuwegein, the Netherlands (W.J.S.); and Department of Neurology, VU Medical Center, Amsterdam, the Netherlands (M.C.V.).
| | - Inge A Mulder
- From the Department of Neurology (H.J.A.v.O., I.A.M., G.M.T., M.D.F., M.J.H.W.), Radiology (A.B., M.A.A.v.W.), and Clinical Epidemiology (A.A.), Leiden University Medical Center, the Netherlands; Department of Radiology (I.C.v.d.S., B.K.V.), Neurology (L.J.K.), and Julius Center for Health Sciences and Primary Care (A.A.), University Medical Center Utrecht, the Netherlands; Department of Neurology, St Antonius Hospital, Nieuwegein, the Netherlands (W.J.S.); and Department of Neurology, VU Medical Center, Amsterdam, the Netherlands (M.C.V.)
| | - Alexander Broersen
- From the Department of Neurology (H.J.A.v.O., I.A.M., G.M.T., M.D.F., M.J.H.W.), Radiology (A.B., M.A.A.v.W.), and Clinical Epidemiology (A.A.), Leiden University Medical Center, the Netherlands; Department of Radiology (I.C.v.d.S., B.K.V.), Neurology (L.J.K.), and Julius Center for Health Sciences and Primary Care (A.A.), University Medical Center Utrecht, the Netherlands; Department of Neurology, St Antonius Hospital, Nieuwegein, the Netherlands (W.J.S.); and Department of Neurology, VU Medical Center, Amsterdam, the Netherlands (M.C.V.)
| | - Ale Algra
- From the Department of Neurology (H.J.A.v.O., I.A.M., G.M.T., M.D.F., M.J.H.W.), Radiology (A.B., M.A.A.v.W.), and Clinical Epidemiology (A.A.), Leiden University Medical Center, the Netherlands; Department of Radiology (I.C.v.d.S., B.K.V.), Neurology (L.J.K.), and Julius Center for Health Sciences and Primary Care (A.A.), University Medical Center Utrecht, the Netherlands; Department of Neurology, St Antonius Hospital, Nieuwegein, the Netherlands (W.J.S.); and Department of Neurology, VU Medical Center, Amsterdam, the Netherlands (M.C.V.)
| | - Irene C van der Schaaf
- From the Department of Neurology (H.J.A.v.O., I.A.M., G.M.T., M.D.F., M.J.H.W.), Radiology (A.B., M.A.A.v.W.), and Clinical Epidemiology (A.A.), Leiden University Medical Center, the Netherlands; Department of Radiology (I.C.v.d.S., B.K.V.), Neurology (L.J.K.), and Julius Center for Health Sciences and Primary Care (A.A.), University Medical Center Utrecht, the Netherlands; Department of Neurology, St Antonius Hospital, Nieuwegein, the Netherlands (W.J.S.); and Department of Neurology, VU Medical Center, Amsterdam, the Netherlands (M.C.V.)
| | - L Jaap Kappelle
- From the Department of Neurology (H.J.A.v.O., I.A.M., G.M.T., M.D.F., M.J.H.W.), Radiology (A.B., M.A.A.v.W.), and Clinical Epidemiology (A.A.), Leiden University Medical Center, the Netherlands; Department of Radiology (I.C.v.d.S., B.K.V.), Neurology (L.J.K.), and Julius Center for Health Sciences and Primary Care (A.A.), University Medical Center Utrecht, the Netherlands; Department of Neurology, St Antonius Hospital, Nieuwegein, the Netherlands (W.J.S.); and Department of Neurology, VU Medical Center, Amsterdam, the Netherlands (M.C.V.)
| | - Birgitta K Velthuis
- From the Department of Neurology (H.J.A.v.O., I.A.M., G.M.T., M.D.F., M.J.H.W.), Radiology (A.B., M.A.A.v.W.), and Clinical Epidemiology (A.A.), Leiden University Medical Center, the Netherlands; Department of Radiology (I.C.v.d.S., B.K.V.), Neurology (L.J.K.), and Julius Center for Health Sciences and Primary Care (A.A.), University Medical Center Utrecht, the Netherlands; Department of Neurology, St Antonius Hospital, Nieuwegein, the Netherlands (W.J.S.); and Department of Neurology, VU Medical Center, Amsterdam, the Netherlands (M.C.V.)
| | - Gisela M Terwindt
- From the Department of Neurology (H.J.A.v.O., I.A.M., G.M.T., M.D.F., M.J.H.W.), Radiology (A.B., M.A.A.v.W.), and Clinical Epidemiology (A.A.), Leiden University Medical Center, the Netherlands; Department of Radiology (I.C.v.d.S., B.K.V.), Neurology (L.J.K.), and Julius Center for Health Sciences and Primary Care (A.A.), University Medical Center Utrecht, the Netherlands; Department of Neurology, St Antonius Hospital, Nieuwegein, the Netherlands (W.J.S.); and Department of Neurology, VU Medical Center, Amsterdam, the Netherlands (M.C.V.)
| | - Wouter J Schonewille
- From the Department of Neurology (H.J.A.v.O., I.A.M., G.M.T., M.D.F., M.J.H.W.), Radiology (A.B., M.A.A.v.W.), and Clinical Epidemiology (A.A.), Leiden University Medical Center, the Netherlands; Department of Radiology (I.C.v.d.S., B.K.V.), Neurology (L.J.K.), and Julius Center for Health Sciences and Primary Care (A.A.), University Medical Center Utrecht, the Netherlands; Department of Neurology, St Antonius Hospital, Nieuwegein, the Netherlands (W.J.S.); and Department of Neurology, VU Medical Center, Amsterdam, the Netherlands (M.C.V.)
| | - Marieke C Visser
- From the Department of Neurology (H.J.A.v.O., I.A.M., G.M.T., M.D.F., M.J.H.W.), Radiology (A.B., M.A.A.v.W.), and Clinical Epidemiology (A.A.), Leiden University Medical Center, the Netherlands; Department of Radiology (I.C.v.d.S., B.K.V.), Neurology (L.J.K.), and Julius Center for Health Sciences and Primary Care (A.A.), University Medical Center Utrecht, the Netherlands; Department of Neurology, St Antonius Hospital, Nieuwegein, the Netherlands (W.J.S.); and Department of Neurology, VU Medical Center, Amsterdam, the Netherlands (M.C.V.)
| | - Michel D Ferrari
- From the Department of Neurology (H.J.A.v.O., I.A.M., G.M.T., M.D.F., M.J.H.W.), Radiology (A.B., M.A.A.v.W.), and Clinical Epidemiology (A.A.), Leiden University Medical Center, the Netherlands; Department of Radiology (I.C.v.d.S., B.K.V.), Neurology (L.J.K.), and Julius Center for Health Sciences and Primary Care (A.A.), University Medical Center Utrecht, the Netherlands; Department of Neurology, St Antonius Hospital, Nieuwegein, the Netherlands (W.J.S.); and Department of Neurology, VU Medical Center, Amsterdam, the Netherlands (M.C.V.)
| | - Marianne A A van Walderveen
- From the Department of Neurology (H.J.A.v.O., I.A.M., G.M.T., M.D.F., M.J.H.W.), Radiology (A.B., M.A.A.v.W.), and Clinical Epidemiology (A.A.), Leiden University Medical Center, the Netherlands; Department of Radiology (I.C.v.d.S., B.K.V.), Neurology (L.J.K.), and Julius Center for Health Sciences and Primary Care (A.A.), University Medical Center Utrecht, the Netherlands; Department of Neurology, St Antonius Hospital, Nieuwegein, the Netherlands (W.J.S.); and Department of Neurology, VU Medical Center, Amsterdam, the Netherlands (M.C.V.)
| | - Marieke J H Wermer
- From the Department of Neurology (H.J.A.v.O., I.A.M., G.M.T., M.D.F., M.J.H.W.), Radiology (A.B., M.A.A.v.W.), and Clinical Epidemiology (A.A.), Leiden University Medical Center, the Netherlands; Department of Radiology (I.C.v.d.S., B.K.V.), Neurology (L.J.K.), and Julius Center for Health Sciences and Primary Care (A.A.), University Medical Center Utrecht, the Netherlands; Department of Neurology, St Antonius Hospital, Nieuwegein, the Netherlands (W.J.S.); and Department of Neurology, VU Medical Center, Amsterdam, the Netherlands (M.C.V.)
| | | |
Collapse
|
37
|
Treurniet KM, Yoo AJ, Berkhemer OA, Lingsma HF, Boers AMM, Fransen PSS, Beumer D, van den Berg LA, Sprengers MES, Jenniskens SFM, Lycklama À Nijeholt GJ, van Walderveen MAA, Bot JCJ, Beenen LFM, van den Berg R, van Zwam WH, van der Lugt A, van Oostenbrugge RJ, Dippel DWJ, Roos YBWEM, Marquering HA, Majoie CBLM. Clot Burden Score on Baseline Computerized Tomographic Angiography and Intra-Arterial Treatment Effect in Acute Ischemic Stroke. Stroke 2016; 47:2972-2978. [PMID: 27827328 DOI: 10.1161/strokeaha.116.014565] [Citation(s) in RCA: 41] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2016] [Revised: 08/23/2016] [Accepted: 09/19/2016] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE A high clot burden score (CBS) is associated with favorable outcome after intravenous treatment for acute ischemic stroke. The added benefit of intra-arterial treatment might be less in these patients. The aim of this exploratory post hoc analysis was to assess the relation of CBS with neurological improvement and endovascular treatment effect. METHODS For 499 of 500 patients in the MR CLEAN study (Multicenter Randomized Clinical Trial of Endovascular Treatment for Acute Ischemic Stroke in the Netherlands), the CBS was determined. Ordinal logistic regression models with and without main baseline prognostic variables were used to assess the association between CBS (continuous or dichotomized at CBS of 6) and a shift toward better outcome on the modified Rankin Scale. The model without main baseline prognostic variables only included treatment allocation and CBS. Models with and without a multiplicative interaction term of CBS and treatment were compared using the χ2 test to assess treatment effect modification by CBS. RESULTS Higher CBS was associated with a shift toward better outcome on the modified Rankin Scale; adjusted common odds ratio per point CBS was 1.12 (95% confidence interval, 1.04-1.20]. Dichotomized CBS had an adjusted common odds ratio of 1.67 (95% confidence interval, 1.12-2.51). Both effect estimates were slightly attenuated by adding baseline prognostic variables. The addition of the interaction terms did not significantly improve the fit of the models. There was a small and insignificant increase of intra-arterial treatment efficacy in the high CBS group. CONCLUSIONS A higher CBS is associated with improved outcome and may be used as a prognostic marker. We found no evidence that CBS modifies the effect of intra-arterial treatment. CLINICAL TRIAL REGISTRATION URL: http://www.trialregister.nl. Unique identifier: NTR1804. URL: http://www.controlled-trials.com. Unique identifier: ISRCTN10888758.
Collapse
Affiliation(s)
- Kilian M Treurniet
- From the Department of Radiology (K.M.T., O.A.B., A.M.M.B., M.E.S.S., L.F.M.B., R.v.d.B., H.A.M., C.B.L.M.M.), Department of Biomedical Engineering and Physics (A.M.M.B., H.A.M.), and Department of Neurology (L.A.v.d.B., Y.B.W.E.M.R.), Academic Medical Center, Amsterdam, The Netherlands; Department of Radiology, Texas Stroke Institute, Dallas (A.J.Y.); Department of Neurology (O.A.B., P.S.S.F., D.W.J.D.), Department of Public Health (H.F.L.), and Department of Radiology (P.S.S.F., A.v.d.L.), Erasmus MC University Medical Center, Rotterdam, The Netherlands; Department of Neurology (D.B., R.J.v.O.) and Department of Radiology (O.A.B., W.H.v.Z.), Maastricht University Medical Center, The Netherlands; Department of Robotics and Mechatronics, University of Twente, Enschede, The Netherlands (A.M.M.B.); Department of Radiology, Radboud University Medical Center, Nijmegen, The Netherlands (S.F.M.J.); Department of Radiology, MC Haaglanden, The Hague, The Netherlands (G.J.L.À.N.); Department of Radiology, Leiden University Medical Center, The Netherlands (M.A.A.v.W.); and Department of Radiology, VU Medical Center, Amsterdam, The Netherlands (J.C.J.B.).
| | - Albert J Yoo
- From the Department of Radiology (K.M.T., O.A.B., A.M.M.B., M.E.S.S., L.F.M.B., R.v.d.B., H.A.M., C.B.L.M.M.), Department of Biomedical Engineering and Physics (A.M.M.B., H.A.M.), and Department of Neurology (L.A.v.d.B., Y.B.W.E.M.R.), Academic Medical Center, Amsterdam, The Netherlands; Department of Radiology, Texas Stroke Institute, Dallas (A.J.Y.); Department of Neurology (O.A.B., P.S.S.F., D.W.J.D.), Department of Public Health (H.F.L.), and Department of Radiology (P.S.S.F., A.v.d.L.), Erasmus MC University Medical Center, Rotterdam, The Netherlands; Department of Neurology (D.B., R.J.v.O.) and Department of Radiology (O.A.B., W.H.v.Z.), Maastricht University Medical Center, The Netherlands; Department of Robotics and Mechatronics, University of Twente, Enschede, The Netherlands (A.M.M.B.); Department of Radiology, Radboud University Medical Center, Nijmegen, The Netherlands (S.F.M.J.); Department of Radiology, MC Haaglanden, The Hague, The Netherlands (G.J.L.À.N.); Department of Radiology, Leiden University Medical Center, The Netherlands (M.A.A.v.W.); and Department of Radiology, VU Medical Center, Amsterdam, The Netherlands (J.C.J.B.)
| | - Olvert A Berkhemer
- From the Department of Radiology (K.M.T., O.A.B., A.M.M.B., M.E.S.S., L.F.M.B., R.v.d.B., H.A.M., C.B.L.M.M.), Department of Biomedical Engineering and Physics (A.M.M.B., H.A.M.), and Department of Neurology (L.A.v.d.B., Y.B.W.E.M.R.), Academic Medical Center, Amsterdam, The Netherlands; Department of Radiology, Texas Stroke Institute, Dallas (A.J.Y.); Department of Neurology (O.A.B., P.S.S.F., D.W.J.D.), Department of Public Health (H.F.L.), and Department of Radiology (P.S.S.F., A.v.d.L.), Erasmus MC University Medical Center, Rotterdam, The Netherlands; Department of Neurology (D.B., R.J.v.O.) and Department of Radiology (O.A.B., W.H.v.Z.), Maastricht University Medical Center, The Netherlands; Department of Robotics and Mechatronics, University of Twente, Enschede, The Netherlands (A.M.M.B.); Department of Radiology, Radboud University Medical Center, Nijmegen, The Netherlands (S.F.M.J.); Department of Radiology, MC Haaglanden, The Hague, The Netherlands (G.J.L.À.N.); Department of Radiology, Leiden University Medical Center, The Netherlands (M.A.A.v.W.); and Department of Radiology, VU Medical Center, Amsterdam, The Netherlands (J.C.J.B.)
| | - Hester F Lingsma
- From the Department of Radiology (K.M.T., O.A.B., A.M.M.B., M.E.S.S., L.F.M.B., R.v.d.B., H.A.M., C.B.L.M.M.), Department of Biomedical Engineering and Physics (A.M.M.B., H.A.M.), and Department of Neurology (L.A.v.d.B., Y.B.W.E.M.R.), Academic Medical Center, Amsterdam, The Netherlands; Department of Radiology, Texas Stroke Institute, Dallas (A.J.Y.); Department of Neurology (O.A.B., P.S.S.F., D.W.J.D.), Department of Public Health (H.F.L.), and Department of Radiology (P.S.S.F., A.v.d.L.), Erasmus MC University Medical Center, Rotterdam, The Netherlands; Department of Neurology (D.B., R.J.v.O.) and Department of Radiology (O.A.B., W.H.v.Z.), Maastricht University Medical Center, The Netherlands; Department of Robotics and Mechatronics, University of Twente, Enschede, The Netherlands (A.M.M.B.); Department of Radiology, Radboud University Medical Center, Nijmegen, The Netherlands (S.F.M.J.); Department of Radiology, MC Haaglanden, The Hague, The Netherlands (G.J.L.À.N.); Department of Radiology, Leiden University Medical Center, The Netherlands (M.A.A.v.W.); and Department of Radiology, VU Medical Center, Amsterdam, The Netherlands (J.C.J.B.)
| | - Anna M M Boers
- From the Department of Radiology (K.M.T., O.A.B., A.M.M.B., M.E.S.S., L.F.M.B., R.v.d.B., H.A.M., C.B.L.M.M.), Department of Biomedical Engineering and Physics (A.M.M.B., H.A.M.), and Department of Neurology (L.A.v.d.B., Y.B.W.E.M.R.), Academic Medical Center, Amsterdam, The Netherlands; Department of Radiology, Texas Stroke Institute, Dallas (A.J.Y.); Department of Neurology (O.A.B., P.S.S.F., D.W.J.D.), Department of Public Health (H.F.L.), and Department of Radiology (P.S.S.F., A.v.d.L.), Erasmus MC University Medical Center, Rotterdam, The Netherlands; Department of Neurology (D.B., R.J.v.O.) and Department of Radiology (O.A.B., W.H.v.Z.), Maastricht University Medical Center, The Netherlands; Department of Robotics and Mechatronics, University of Twente, Enschede, The Netherlands (A.M.M.B.); Department of Radiology, Radboud University Medical Center, Nijmegen, The Netherlands (S.F.M.J.); Department of Radiology, MC Haaglanden, The Hague, The Netherlands (G.J.L.À.N.); Department of Radiology, Leiden University Medical Center, The Netherlands (M.A.A.v.W.); and Department of Radiology, VU Medical Center, Amsterdam, The Netherlands (J.C.J.B.)
| | - Puck S S Fransen
- From the Department of Radiology (K.M.T., O.A.B., A.M.M.B., M.E.S.S., L.F.M.B., R.v.d.B., H.A.M., C.B.L.M.M.), Department of Biomedical Engineering and Physics (A.M.M.B., H.A.M.), and Department of Neurology (L.A.v.d.B., Y.B.W.E.M.R.), Academic Medical Center, Amsterdam, The Netherlands; Department of Radiology, Texas Stroke Institute, Dallas (A.J.Y.); Department of Neurology (O.A.B., P.S.S.F., D.W.J.D.), Department of Public Health (H.F.L.), and Department of Radiology (P.S.S.F., A.v.d.L.), Erasmus MC University Medical Center, Rotterdam, The Netherlands; Department of Neurology (D.B., R.J.v.O.) and Department of Radiology (O.A.B., W.H.v.Z.), Maastricht University Medical Center, The Netherlands; Department of Robotics and Mechatronics, University of Twente, Enschede, The Netherlands (A.M.M.B.); Department of Radiology, Radboud University Medical Center, Nijmegen, The Netherlands (S.F.M.J.); Department of Radiology, MC Haaglanden, The Hague, The Netherlands (G.J.L.À.N.); Department of Radiology, Leiden University Medical Center, The Netherlands (M.A.A.v.W.); and Department of Radiology, VU Medical Center, Amsterdam, The Netherlands (J.C.J.B.)
| | - Debbie Beumer
- From the Department of Radiology (K.M.T., O.A.B., A.M.M.B., M.E.S.S., L.F.M.B., R.v.d.B., H.A.M., C.B.L.M.M.), Department of Biomedical Engineering and Physics (A.M.M.B., H.A.M.), and Department of Neurology (L.A.v.d.B., Y.B.W.E.M.R.), Academic Medical Center, Amsterdam, The Netherlands; Department of Radiology, Texas Stroke Institute, Dallas (A.J.Y.); Department of Neurology (O.A.B., P.S.S.F., D.W.J.D.), Department of Public Health (H.F.L.), and Department of Radiology (P.S.S.F., A.v.d.L.), Erasmus MC University Medical Center, Rotterdam, The Netherlands; Department of Neurology (D.B., R.J.v.O.) and Department of Radiology (O.A.B., W.H.v.Z.), Maastricht University Medical Center, The Netherlands; Department of Robotics and Mechatronics, University of Twente, Enschede, The Netherlands (A.M.M.B.); Department of Radiology, Radboud University Medical Center, Nijmegen, The Netherlands (S.F.M.J.); Department of Radiology, MC Haaglanden, The Hague, The Netherlands (G.J.L.À.N.); Department of Radiology, Leiden University Medical Center, The Netherlands (M.A.A.v.W.); and Department of Radiology, VU Medical Center, Amsterdam, The Netherlands (J.C.J.B.)
| | - Lucie A van den Berg
- From the Department of Radiology (K.M.T., O.A.B., A.M.M.B., M.E.S.S., L.F.M.B., R.v.d.B., H.A.M., C.B.L.M.M.), Department of Biomedical Engineering and Physics (A.M.M.B., H.A.M.), and Department of Neurology (L.A.v.d.B., Y.B.W.E.M.R.), Academic Medical Center, Amsterdam, The Netherlands; Department of Radiology, Texas Stroke Institute, Dallas (A.J.Y.); Department of Neurology (O.A.B., P.S.S.F., D.W.J.D.), Department of Public Health (H.F.L.), and Department of Radiology (P.S.S.F., A.v.d.L.), Erasmus MC University Medical Center, Rotterdam, The Netherlands; Department of Neurology (D.B., R.J.v.O.) and Department of Radiology (O.A.B., W.H.v.Z.), Maastricht University Medical Center, The Netherlands; Department of Robotics and Mechatronics, University of Twente, Enschede, The Netherlands (A.M.M.B.); Department of Radiology, Radboud University Medical Center, Nijmegen, The Netherlands (S.F.M.J.); Department of Radiology, MC Haaglanden, The Hague, The Netherlands (G.J.L.À.N.); Department of Radiology, Leiden University Medical Center, The Netherlands (M.A.A.v.W.); and Department of Radiology, VU Medical Center, Amsterdam, The Netherlands (J.C.J.B.)
| | - Marieke E S Sprengers
- From the Department of Radiology (K.M.T., O.A.B., A.M.M.B., M.E.S.S., L.F.M.B., R.v.d.B., H.A.M., C.B.L.M.M.), Department of Biomedical Engineering and Physics (A.M.M.B., H.A.M.), and Department of Neurology (L.A.v.d.B., Y.B.W.E.M.R.), Academic Medical Center, Amsterdam, The Netherlands; Department of Radiology, Texas Stroke Institute, Dallas (A.J.Y.); Department of Neurology (O.A.B., P.S.S.F., D.W.J.D.), Department of Public Health (H.F.L.), and Department of Radiology (P.S.S.F., A.v.d.L.), Erasmus MC University Medical Center, Rotterdam, The Netherlands; Department of Neurology (D.B., R.J.v.O.) and Department of Radiology (O.A.B., W.H.v.Z.), Maastricht University Medical Center, The Netherlands; Department of Robotics and Mechatronics, University of Twente, Enschede, The Netherlands (A.M.M.B.); Department of Radiology, Radboud University Medical Center, Nijmegen, The Netherlands (S.F.M.J.); Department of Radiology, MC Haaglanden, The Hague, The Netherlands (G.J.L.À.N.); Department of Radiology, Leiden University Medical Center, The Netherlands (M.A.A.v.W.); and Department of Radiology, VU Medical Center, Amsterdam, The Netherlands (J.C.J.B.)
| | - Sjoerd F M Jenniskens
- From the Department of Radiology (K.M.T., O.A.B., A.M.M.B., M.E.S.S., L.F.M.B., R.v.d.B., H.A.M., C.B.L.M.M.), Department of Biomedical Engineering and Physics (A.M.M.B., H.A.M.), and Department of Neurology (L.A.v.d.B., Y.B.W.E.M.R.), Academic Medical Center, Amsterdam, The Netherlands; Department of Radiology, Texas Stroke Institute, Dallas (A.J.Y.); Department of Neurology (O.A.B., P.S.S.F., D.W.J.D.), Department of Public Health (H.F.L.), and Department of Radiology (P.S.S.F., A.v.d.L.), Erasmus MC University Medical Center, Rotterdam, The Netherlands; Department of Neurology (D.B., R.J.v.O.) and Department of Radiology (O.A.B., W.H.v.Z.), Maastricht University Medical Center, The Netherlands; Department of Robotics and Mechatronics, University of Twente, Enschede, The Netherlands (A.M.M.B.); Department of Radiology, Radboud University Medical Center, Nijmegen, The Netherlands (S.F.M.J.); Department of Radiology, MC Haaglanden, The Hague, The Netherlands (G.J.L.À.N.); Department of Radiology, Leiden University Medical Center, The Netherlands (M.A.A.v.W.); and Department of Radiology, VU Medical Center, Amsterdam, The Netherlands (J.C.J.B.)
| | - Geert J Lycklama À Nijeholt
- From the Department of Radiology (K.M.T., O.A.B., A.M.M.B., M.E.S.S., L.F.M.B., R.v.d.B., H.A.M., C.B.L.M.M.), Department of Biomedical Engineering and Physics (A.M.M.B., H.A.M.), and Department of Neurology (L.A.v.d.B., Y.B.W.E.M.R.), Academic Medical Center, Amsterdam, The Netherlands; Department of Radiology, Texas Stroke Institute, Dallas (A.J.Y.); Department of Neurology (O.A.B., P.S.S.F., D.W.J.D.), Department of Public Health (H.F.L.), and Department of Radiology (P.S.S.F., A.v.d.L.), Erasmus MC University Medical Center, Rotterdam, The Netherlands; Department of Neurology (D.B., R.J.v.O.) and Department of Radiology (O.A.B., W.H.v.Z.), Maastricht University Medical Center, The Netherlands; Department of Robotics and Mechatronics, University of Twente, Enschede, The Netherlands (A.M.M.B.); Department of Radiology, Radboud University Medical Center, Nijmegen, The Netherlands (S.F.M.J.); Department of Radiology, MC Haaglanden, The Hague, The Netherlands (G.J.L.À.N.); Department of Radiology, Leiden University Medical Center, The Netherlands (M.A.A.v.W.); and Department of Radiology, VU Medical Center, Amsterdam, The Netherlands (J.C.J.B.)
| | - Marianne A A van Walderveen
- From the Department of Radiology (K.M.T., O.A.B., A.M.M.B., M.E.S.S., L.F.M.B., R.v.d.B., H.A.M., C.B.L.M.M.), Department of Biomedical Engineering and Physics (A.M.M.B., H.A.M.), and Department of Neurology (L.A.v.d.B., Y.B.W.E.M.R.), Academic Medical Center, Amsterdam, The Netherlands; Department of Radiology, Texas Stroke Institute, Dallas (A.J.Y.); Department of Neurology (O.A.B., P.S.S.F., D.W.J.D.), Department of Public Health (H.F.L.), and Department of Radiology (P.S.S.F., A.v.d.L.), Erasmus MC University Medical Center, Rotterdam, The Netherlands; Department of Neurology (D.B., R.J.v.O.) and Department of Radiology (O.A.B., W.H.v.Z.), Maastricht University Medical Center, The Netherlands; Department of Robotics and Mechatronics, University of Twente, Enschede, The Netherlands (A.M.M.B.); Department of Radiology, Radboud University Medical Center, Nijmegen, The Netherlands (S.F.M.J.); Department of Radiology, MC Haaglanden, The Hague, The Netherlands (G.J.L.À.N.); Department of Radiology, Leiden University Medical Center, The Netherlands (M.A.A.v.W.); and Department of Radiology, VU Medical Center, Amsterdam, The Netherlands (J.C.J.B.)
| | - Joseph C J Bot
- From the Department of Radiology (K.M.T., O.A.B., A.M.M.B., M.E.S.S., L.F.M.B., R.v.d.B., H.A.M., C.B.L.M.M.), Department of Biomedical Engineering and Physics (A.M.M.B., H.A.M.), and Department of Neurology (L.A.v.d.B., Y.B.W.E.M.R.), Academic Medical Center, Amsterdam, The Netherlands; Department of Radiology, Texas Stroke Institute, Dallas (A.J.Y.); Department of Neurology (O.A.B., P.S.S.F., D.W.J.D.), Department of Public Health (H.F.L.), and Department of Radiology (P.S.S.F., A.v.d.L.), Erasmus MC University Medical Center, Rotterdam, The Netherlands; Department of Neurology (D.B., R.J.v.O.) and Department of Radiology (O.A.B., W.H.v.Z.), Maastricht University Medical Center, The Netherlands; Department of Robotics and Mechatronics, University of Twente, Enschede, The Netherlands (A.M.M.B.); Department of Radiology, Radboud University Medical Center, Nijmegen, The Netherlands (S.F.M.J.); Department of Radiology, MC Haaglanden, The Hague, The Netherlands (G.J.L.À.N.); Department of Radiology, Leiden University Medical Center, The Netherlands (M.A.A.v.W.); and Department of Radiology, VU Medical Center, Amsterdam, The Netherlands (J.C.J.B.)
| | - Ludo F M Beenen
- From the Department of Radiology (K.M.T., O.A.B., A.M.M.B., M.E.S.S., L.F.M.B., R.v.d.B., H.A.M., C.B.L.M.M.), Department of Biomedical Engineering and Physics (A.M.M.B., H.A.M.), and Department of Neurology (L.A.v.d.B., Y.B.W.E.M.R.), Academic Medical Center, Amsterdam, The Netherlands; Department of Radiology, Texas Stroke Institute, Dallas (A.J.Y.); Department of Neurology (O.A.B., P.S.S.F., D.W.J.D.), Department of Public Health (H.F.L.), and Department of Radiology (P.S.S.F., A.v.d.L.), Erasmus MC University Medical Center, Rotterdam, The Netherlands; Department of Neurology (D.B., R.J.v.O.) and Department of Radiology (O.A.B., W.H.v.Z.), Maastricht University Medical Center, The Netherlands; Department of Robotics and Mechatronics, University of Twente, Enschede, The Netherlands (A.M.M.B.); Department of Radiology, Radboud University Medical Center, Nijmegen, The Netherlands (S.F.M.J.); Department of Radiology, MC Haaglanden, The Hague, The Netherlands (G.J.L.À.N.); Department of Radiology, Leiden University Medical Center, The Netherlands (M.A.A.v.W.); and Department of Radiology, VU Medical Center, Amsterdam, The Netherlands (J.C.J.B.)
| | - René van den Berg
- From the Department of Radiology (K.M.T., O.A.B., A.M.M.B., M.E.S.S., L.F.M.B., R.v.d.B., H.A.M., C.B.L.M.M.), Department of Biomedical Engineering and Physics (A.M.M.B., H.A.M.), and Department of Neurology (L.A.v.d.B., Y.B.W.E.M.R.), Academic Medical Center, Amsterdam, The Netherlands; Department of Radiology, Texas Stroke Institute, Dallas (A.J.Y.); Department of Neurology (O.A.B., P.S.S.F., D.W.J.D.), Department of Public Health (H.F.L.), and Department of Radiology (P.S.S.F., A.v.d.L.), Erasmus MC University Medical Center, Rotterdam, The Netherlands; Department of Neurology (D.B., R.J.v.O.) and Department of Radiology (O.A.B., W.H.v.Z.), Maastricht University Medical Center, The Netherlands; Department of Robotics and Mechatronics, University of Twente, Enschede, The Netherlands (A.M.M.B.); Department of Radiology, Radboud University Medical Center, Nijmegen, The Netherlands (S.F.M.J.); Department of Radiology, MC Haaglanden, The Hague, The Netherlands (G.J.L.À.N.); Department of Radiology, Leiden University Medical Center, The Netherlands (M.A.A.v.W.); and Department of Radiology, VU Medical Center, Amsterdam, The Netherlands (J.C.J.B.)
| | - Wim H van Zwam
- From the Department of Radiology (K.M.T., O.A.B., A.M.M.B., M.E.S.S., L.F.M.B., R.v.d.B., H.A.M., C.B.L.M.M.), Department of Biomedical Engineering and Physics (A.M.M.B., H.A.M.), and Department of Neurology (L.A.v.d.B., Y.B.W.E.M.R.), Academic Medical Center, Amsterdam, The Netherlands; Department of Radiology, Texas Stroke Institute, Dallas (A.J.Y.); Department of Neurology (O.A.B., P.S.S.F., D.W.J.D.), Department of Public Health (H.F.L.), and Department of Radiology (P.S.S.F., A.v.d.L.), Erasmus MC University Medical Center, Rotterdam, The Netherlands; Department of Neurology (D.B., R.J.v.O.) and Department of Radiology (O.A.B., W.H.v.Z.), Maastricht University Medical Center, The Netherlands; Department of Robotics and Mechatronics, University of Twente, Enschede, The Netherlands (A.M.M.B.); Department of Radiology, Radboud University Medical Center, Nijmegen, The Netherlands (S.F.M.J.); Department of Radiology, MC Haaglanden, The Hague, The Netherlands (G.J.L.À.N.); Department of Radiology, Leiden University Medical Center, The Netherlands (M.A.A.v.W.); and Department of Radiology, VU Medical Center, Amsterdam, The Netherlands (J.C.J.B.)
| | - Aad van der Lugt
- From the Department of Radiology (K.M.T., O.A.B., A.M.M.B., M.E.S.S., L.F.M.B., R.v.d.B., H.A.M., C.B.L.M.M.), Department of Biomedical Engineering and Physics (A.M.M.B., H.A.M.), and Department of Neurology (L.A.v.d.B., Y.B.W.E.M.R.), Academic Medical Center, Amsterdam, The Netherlands; Department of Radiology, Texas Stroke Institute, Dallas (A.J.Y.); Department of Neurology (O.A.B., P.S.S.F., D.W.J.D.), Department of Public Health (H.F.L.), and Department of Radiology (P.S.S.F., A.v.d.L.), Erasmus MC University Medical Center, Rotterdam, The Netherlands; Department of Neurology (D.B., R.J.v.O.) and Department of Radiology (O.A.B., W.H.v.Z.), Maastricht University Medical Center, The Netherlands; Department of Robotics and Mechatronics, University of Twente, Enschede, The Netherlands (A.M.M.B.); Department of Radiology, Radboud University Medical Center, Nijmegen, The Netherlands (S.F.M.J.); Department of Radiology, MC Haaglanden, The Hague, The Netherlands (G.J.L.À.N.); Department of Radiology, Leiden University Medical Center, The Netherlands (M.A.A.v.W.); and Department of Radiology, VU Medical Center, Amsterdam, The Netherlands (J.C.J.B.)
| | - Robert J van Oostenbrugge
- From the Department of Radiology (K.M.T., O.A.B., A.M.M.B., M.E.S.S., L.F.M.B., R.v.d.B., H.A.M., C.B.L.M.M.), Department of Biomedical Engineering and Physics (A.M.M.B., H.A.M.), and Department of Neurology (L.A.v.d.B., Y.B.W.E.M.R.), Academic Medical Center, Amsterdam, The Netherlands; Department of Radiology, Texas Stroke Institute, Dallas (A.J.Y.); Department of Neurology (O.A.B., P.S.S.F., D.W.J.D.), Department of Public Health (H.F.L.), and Department of Radiology (P.S.S.F., A.v.d.L.), Erasmus MC University Medical Center, Rotterdam, The Netherlands; Department of Neurology (D.B., R.J.v.O.) and Department of Radiology (O.A.B., W.H.v.Z.), Maastricht University Medical Center, The Netherlands; Department of Robotics and Mechatronics, University of Twente, Enschede, The Netherlands (A.M.M.B.); Department of Radiology, Radboud University Medical Center, Nijmegen, The Netherlands (S.F.M.J.); Department of Radiology, MC Haaglanden, The Hague, The Netherlands (G.J.L.À.N.); Department of Radiology, Leiden University Medical Center, The Netherlands (M.A.A.v.W.); and Department of Radiology, VU Medical Center, Amsterdam, The Netherlands (J.C.J.B.)
| | - Diederik W J Dippel
- From the Department of Radiology (K.M.T., O.A.B., A.M.M.B., M.E.S.S., L.F.M.B., R.v.d.B., H.A.M., C.B.L.M.M.), Department of Biomedical Engineering and Physics (A.M.M.B., H.A.M.), and Department of Neurology (L.A.v.d.B., Y.B.W.E.M.R.), Academic Medical Center, Amsterdam, The Netherlands; Department of Radiology, Texas Stroke Institute, Dallas (A.J.Y.); Department of Neurology (O.A.B., P.S.S.F., D.W.J.D.), Department of Public Health (H.F.L.), and Department of Radiology (P.S.S.F., A.v.d.L.), Erasmus MC University Medical Center, Rotterdam, The Netherlands; Department of Neurology (D.B., R.J.v.O.) and Department of Radiology (O.A.B., W.H.v.Z.), Maastricht University Medical Center, The Netherlands; Department of Robotics and Mechatronics, University of Twente, Enschede, The Netherlands (A.M.M.B.); Department of Radiology, Radboud University Medical Center, Nijmegen, The Netherlands (S.F.M.J.); Department of Radiology, MC Haaglanden, The Hague, The Netherlands (G.J.L.À.N.); Department of Radiology, Leiden University Medical Center, The Netherlands (M.A.A.v.W.); and Department of Radiology, VU Medical Center, Amsterdam, The Netherlands (J.C.J.B.)
| | - Yvo B W E M Roos
- From the Department of Radiology (K.M.T., O.A.B., A.M.M.B., M.E.S.S., L.F.M.B., R.v.d.B., H.A.M., C.B.L.M.M.), Department of Biomedical Engineering and Physics (A.M.M.B., H.A.M.), and Department of Neurology (L.A.v.d.B., Y.B.W.E.M.R.), Academic Medical Center, Amsterdam, The Netherlands; Department of Radiology, Texas Stroke Institute, Dallas (A.J.Y.); Department of Neurology (O.A.B., P.S.S.F., D.W.J.D.), Department of Public Health (H.F.L.), and Department of Radiology (P.S.S.F., A.v.d.L.), Erasmus MC University Medical Center, Rotterdam, The Netherlands; Department of Neurology (D.B., R.J.v.O.) and Department of Radiology (O.A.B., W.H.v.Z.), Maastricht University Medical Center, The Netherlands; Department of Robotics and Mechatronics, University of Twente, Enschede, The Netherlands (A.M.M.B.); Department of Radiology, Radboud University Medical Center, Nijmegen, The Netherlands (S.F.M.J.); Department of Radiology, MC Haaglanden, The Hague, The Netherlands (G.J.L.À.N.); Department of Radiology, Leiden University Medical Center, The Netherlands (M.A.A.v.W.); and Department of Radiology, VU Medical Center, Amsterdam, The Netherlands (J.C.J.B.)
| | - Henk A Marquering
- From the Department of Radiology (K.M.T., O.A.B., A.M.M.B., M.E.S.S., L.F.M.B., R.v.d.B., H.A.M., C.B.L.M.M.), Department of Biomedical Engineering and Physics (A.M.M.B., H.A.M.), and Department of Neurology (L.A.v.d.B., Y.B.W.E.M.R.), Academic Medical Center, Amsterdam, The Netherlands; Department of Radiology, Texas Stroke Institute, Dallas (A.J.Y.); Department of Neurology (O.A.B., P.S.S.F., D.W.J.D.), Department of Public Health (H.F.L.), and Department of Radiology (P.S.S.F., A.v.d.L.), Erasmus MC University Medical Center, Rotterdam, The Netherlands; Department of Neurology (D.B., R.J.v.O.) and Department of Radiology (O.A.B., W.H.v.Z.), Maastricht University Medical Center, The Netherlands; Department of Robotics and Mechatronics, University of Twente, Enschede, The Netherlands (A.M.M.B.); Department of Radiology, Radboud University Medical Center, Nijmegen, The Netherlands (S.F.M.J.); Department of Radiology, MC Haaglanden, The Hague, The Netherlands (G.J.L.À.N.); Department of Radiology, Leiden University Medical Center, The Netherlands (M.A.A.v.W.); and Department of Radiology, VU Medical Center, Amsterdam, The Netherlands (J.C.J.B.)
| | - Charles B L M Majoie
- From the Department of Radiology (K.M.T., O.A.B., A.M.M.B., M.E.S.S., L.F.M.B., R.v.d.B., H.A.M., C.B.L.M.M.), Department of Biomedical Engineering and Physics (A.M.M.B., H.A.M.), and Department of Neurology (L.A.v.d.B., Y.B.W.E.M.R.), Academic Medical Center, Amsterdam, The Netherlands; Department of Radiology, Texas Stroke Institute, Dallas (A.J.Y.); Department of Neurology (O.A.B., P.S.S.F., D.W.J.D.), Department of Public Health (H.F.L.), and Department of Radiology (P.S.S.F., A.v.d.L.), Erasmus MC University Medical Center, Rotterdam, The Netherlands; Department of Neurology (D.B., R.J.v.O.) and Department of Radiology (O.A.B., W.H.v.Z.), Maastricht University Medical Center, The Netherlands; Department of Robotics and Mechatronics, University of Twente, Enschede, The Netherlands (A.M.M.B.); Department of Radiology, Radboud University Medical Center, Nijmegen, The Netherlands (S.F.M.J.); Department of Radiology, MC Haaglanden, The Hague, The Netherlands (G.J.L.À.N.); Department of Radiology, Leiden University Medical Center, The Netherlands (M.A.A.v.W.); and Department of Radiology, VU Medical Center, Amsterdam, The Netherlands (J.C.J.B.)
| | | |
Collapse
|
38
|
van den Wijngaard IR, Holswilder G, van Walderveen MAA, Algra A, Wermer MJH, Zaidat OO, Boiten J. Treatment and imaging of intracranial atherosclerotic stenosis: current perspectives and future directions. Brain Behav 2016; 6:e00536. [PMID: 27843693 PMCID: PMC5102638 DOI: 10.1002/brb3.536] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2016] [Revised: 05/08/2016] [Accepted: 06/08/2016] [Indexed: 12/13/2022] Open
Abstract
BACKGROUND AND PURPOSE Intracranial atherosclerosis is a common cause of stroke worldwide. It results in ischemic stroke due to different mechanisms including artery-to-artery embolism, in situ thrombo-occlusion, occlusion of perforating arteries, and hemodynamic failure. In this review, we present an overview of current treatment and imaging modalities in intracranial atherosclerotic stenosis. METHODS PubMed was searched for relevant articles in English that evaluated the treatment and imaging of intracranial atherosclerotic stenosis (ICAS). RESULTS Aggressive medical management, consisting of dual antiplatelet therapy and intensive risk factor management, is important in patients with ICAS because of a substantial risk of recurrent stroke, approximately 20% in the first year, in patients on aspirin or warfarin alone. Recent trials have suggested that, aggressive medical therapy results in better outcome as compared with intracranial stenting. However, the question remains what the optimal treatment strategy would be in patients with recurrent strokes in the setting of failed aggressive medical therapy. Moreover, controversy exists whether a subgroup of patients with symptomatic ICAS could benefit from intracranial stenting if selection is based on radiological evidence of hemodynamic failure. With regard to imaging, transcranial Doppler ultrasound and magnetic resonance angiography are useful screening tests for exclusion of ICAS, but need confirmation by other imaging modalities when stenosis is suggested. Computed tomography angiography has a high positive and negative predictive value for detection of intracranial luminal stenosis of 50% or higher, but performs worse than digital subtraction angiography with regard to establishing the exact degree of luminal stenosis. Novel imaging techniques including high-resolution CT and MRI better identify plaque characteristics than conventional imaging methods. CONCLUSIONS Currently, aggressive medical management remains the standard of care for patients with ICAS. Further research is needed to identify high-risk subgroups and to develop more effective treatments for ICAS patients.
Collapse
Affiliation(s)
- Ido R. van den Wijngaard
- Department of RadiologyLeiden University Medical CenterLeidenthe Netherlands
- Department of NeurologyMedical Center Haaglandenthe Haguethe Netherlands
| | | | | | - Ale Algra
- Department of Clinical EpidemiologyLeiden University Medical CenterLeidenthe Netherlands
- Department of Neurology and NeurosurgeryBrain Center Rudolf MagnusUniversity Medical Center UtrechtUtrechtthe Netherlands
| | | | - Osama O. Zaidat
- Department of NeurologyMedical College of Wisconsin/Froedtert HospitalMilwaukeeWIUSA
| | - Jelis Boiten
- Department of NeurologyMedical Center Haaglandenthe Haguethe Netherlands
| |
Collapse
|
39
|
van Os HJA, Mulder IA, van der Schaaf IC, Kappelle LJ, Velthuis BK, Broersen A, Vos JA, Terwindt GM, Schonewille W, Ferrari MD, Algra A, van Walderveen MAA, Wermer MJH. Role of atherosclerosis, clot extent, and penumbra volume in headache during ischemic stroke. Neurology 2016; 87:1124-30. [PMID: 27534709 DOI: 10.1212/wnl.0000000000003092] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2016] [Accepted: 06/01/2016] [Indexed: 11/15/2022] Open
Abstract
OBJECTIVE To investigate the role of large vessel atherosclerosis, blood clot extent, and penumbra volume in relation to headache in ischemic stroke patients. METHODS In this cross-sectional study, we performed noncontrast CT, CT angiography (CTA), and CT perfusion (CTP) in 284 participants from the Dutch Acute Stroke Study and Leiden Stroke Cohort within 9 hours after ischemic stroke onset. We collected headache characteristics prospectively using a semi-structured questionnaire. Atherosclerosis was assessed by evaluating presence of plaques in extracranial and intracranial vessels and by quantifying intracranial carotid artery calcifications. Clot extent was estimated by the clot burden score on CTA and penumbra volume by CTP. We calculated risk ratios (RRs) with adjustments (aRR) for possible confounders using multivariable Poisson regression. RESULTS Headache during stroke was reported in 109/284 (38%) participants. Headache was less prevalent in patients with than in patients without atherosclerosis in the extracranial anterior circulation (35% vs 48%; RR 0.72; 95% confidence interval [CI] 0.54-0.97). Atherosclerosis in the intracranial arteries was also associated with less headache, but this association was not statistically significant. Penumbra volume (aRR 1.08; 95% CI 0.63-1.85) and clot extent (aRR 1.02; 95% CI 0.86-1.20) were not related with headache. CONCLUSIONS Headache in the early phase of ischemic stroke tends to occur less often in patients with atherosclerosis than in patients without atherosclerosis in the large cerebral arteries. This finding lends support to the hypothesis that vessel wall elasticity is a necessary contributing factor in the occurrence of headache during acute ischemic stroke.
Collapse
Affiliation(s)
- Hendrikus J A van Os
- From the Department of Neurology (H.J.A.v.O., I.A.M., G.M.T., M.D.F., M.J.H.W.) and Department of Radiology (M.A.A.v.W.), Division of Image Processing (A.B.), Leiden University Medical Center; Departments of Radiology (I.C.v.d.S., B.K.V.) and Neurology (L.J.K.), Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus (A.A.), and Julius Center for Health Sciences and Primary Care (A.A.), University Medical Center Utrecht; and Department of Neurology (J.A.V., W.S.), St Antonius Hospital, Nieuwegein, Netherlands.
| | - Inge A Mulder
- From the Department of Neurology (H.J.A.v.O., I.A.M., G.M.T., M.D.F., M.J.H.W.) and Department of Radiology (M.A.A.v.W.), Division of Image Processing (A.B.), Leiden University Medical Center; Departments of Radiology (I.C.v.d.S., B.K.V.) and Neurology (L.J.K.), Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus (A.A.), and Julius Center for Health Sciences and Primary Care (A.A.), University Medical Center Utrecht; and Department of Neurology (J.A.V., W.S.), St Antonius Hospital, Nieuwegein, Netherlands
| | - Irene C van der Schaaf
- From the Department of Neurology (H.J.A.v.O., I.A.M., G.M.T., M.D.F., M.J.H.W.) and Department of Radiology (M.A.A.v.W.), Division of Image Processing (A.B.), Leiden University Medical Center; Departments of Radiology (I.C.v.d.S., B.K.V.) and Neurology (L.J.K.), Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus (A.A.), and Julius Center for Health Sciences and Primary Care (A.A.), University Medical Center Utrecht; and Department of Neurology (J.A.V., W.S.), St Antonius Hospital, Nieuwegein, Netherlands
| | - L Jaap Kappelle
- From the Department of Neurology (H.J.A.v.O., I.A.M., G.M.T., M.D.F., M.J.H.W.) and Department of Radiology (M.A.A.v.W.), Division of Image Processing (A.B.), Leiden University Medical Center; Departments of Radiology (I.C.v.d.S., B.K.V.) and Neurology (L.J.K.), Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus (A.A.), and Julius Center for Health Sciences and Primary Care (A.A.), University Medical Center Utrecht; and Department of Neurology (J.A.V., W.S.), St Antonius Hospital, Nieuwegein, Netherlands
| | - Birgitta K Velthuis
- From the Department of Neurology (H.J.A.v.O., I.A.M., G.M.T., M.D.F., M.J.H.W.) and Department of Radiology (M.A.A.v.W.), Division of Image Processing (A.B.), Leiden University Medical Center; Departments of Radiology (I.C.v.d.S., B.K.V.) and Neurology (L.J.K.), Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus (A.A.), and Julius Center for Health Sciences and Primary Care (A.A.), University Medical Center Utrecht; and Department of Neurology (J.A.V., W.S.), St Antonius Hospital, Nieuwegein, Netherlands
| | - Alexander Broersen
- From the Department of Neurology (H.J.A.v.O., I.A.M., G.M.T., M.D.F., M.J.H.W.) and Department of Radiology (M.A.A.v.W.), Division of Image Processing (A.B.), Leiden University Medical Center; Departments of Radiology (I.C.v.d.S., B.K.V.) and Neurology (L.J.K.), Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus (A.A.), and Julius Center for Health Sciences and Primary Care (A.A.), University Medical Center Utrecht; and Department of Neurology (J.A.V., W.S.), St Antonius Hospital, Nieuwegein, Netherlands
| | - Jan A Vos
- From the Department of Neurology (H.J.A.v.O., I.A.M., G.M.T., M.D.F., M.J.H.W.) and Department of Radiology (M.A.A.v.W.), Division of Image Processing (A.B.), Leiden University Medical Center; Departments of Radiology (I.C.v.d.S., B.K.V.) and Neurology (L.J.K.), Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus (A.A.), and Julius Center for Health Sciences and Primary Care (A.A.), University Medical Center Utrecht; and Department of Neurology (J.A.V., W.S.), St Antonius Hospital, Nieuwegein, Netherlands
| | - Gisela M Terwindt
- From the Department of Neurology (H.J.A.v.O., I.A.M., G.M.T., M.D.F., M.J.H.W.) and Department of Radiology (M.A.A.v.W.), Division of Image Processing (A.B.), Leiden University Medical Center; Departments of Radiology (I.C.v.d.S., B.K.V.) and Neurology (L.J.K.), Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus (A.A.), and Julius Center for Health Sciences and Primary Care (A.A.), University Medical Center Utrecht; and Department of Neurology (J.A.V., W.S.), St Antonius Hospital, Nieuwegein, Netherlands
| | - Wouter Schonewille
- From the Department of Neurology (H.J.A.v.O., I.A.M., G.M.T., M.D.F., M.J.H.W.) and Department of Radiology (M.A.A.v.W.), Division of Image Processing (A.B.), Leiden University Medical Center; Departments of Radiology (I.C.v.d.S., B.K.V.) and Neurology (L.J.K.), Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus (A.A.), and Julius Center for Health Sciences and Primary Care (A.A.), University Medical Center Utrecht; and Department of Neurology (J.A.V., W.S.), St Antonius Hospital, Nieuwegein, Netherlands
| | - Michel D Ferrari
- From the Department of Neurology (H.J.A.v.O., I.A.M., G.M.T., M.D.F., M.J.H.W.) and Department of Radiology (M.A.A.v.W.), Division of Image Processing (A.B.), Leiden University Medical Center; Departments of Radiology (I.C.v.d.S., B.K.V.) and Neurology (L.J.K.), Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus (A.A.), and Julius Center for Health Sciences and Primary Care (A.A.), University Medical Center Utrecht; and Department of Neurology (J.A.V., W.S.), St Antonius Hospital, Nieuwegein, Netherlands
| | - Ale Algra
- From the Department of Neurology (H.J.A.v.O., I.A.M., G.M.T., M.D.F., M.J.H.W.) and Department of Radiology (M.A.A.v.W.), Division of Image Processing (A.B.), Leiden University Medical Center; Departments of Radiology (I.C.v.d.S., B.K.V.) and Neurology (L.J.K.), Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus (A.A.), and Julius Center for Health Sciences and Primary Care (A.A.), University Medical Center Utrecht; and Department of Neurology (J.A.V., W.S.), St Antonius Hospital, Nieuwegein, Netherlands
| | - Marianne A A van Walderveen
- From the Department of Neurology (H.J.A.v.O., I.A.M., G.M.T., M.D.F., M.J.H.W.) and Department of Radiology (M.A.A.v.W.), Division of Image Processing (A.B.), Leiden University Medical Center; Departments of Radiology (I.C.v.d.S., B.K.V.) and Neurology (L.J.K.), Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus (A.A.), and Julius Center for Health Sciences and Primary Care (A.A.), University Medical Center Utrecht; and Department of Neurology (J.A.V., W.S.), St Antonius Hospital, Nieuwegein, Netherlands
| | - Marieke J H Wermer
- From the Department of Neurology (H.J.A.v.O., I.A.M., G.M.T., M.D.F., M.J.H.W.) and Department of Radiology (M.A.A.v.W.), Division of Image Processing (A.B.), Leiden University Medical Center; Departments of Radiology (I.C.v.d.S., B.K.V.) and Neurology (L.J.K.), Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus (A.A.), and Julius Center for Health Sciences and Primary Care (A.A.), University Medical Center Utrecht; and Department of Neurology (J.A.V., W.S.), St Antonius Hospital, Nieuwegein, Netherlands
| |
Collapse
|
40
|
Yoo AJ, Berkhemer OA, Fransen PSS, van den Berg LA, Beumer D, Lingsma HF, Schonewille WJ, Sprengers MES, van den Berg R, van Walderveen MAA, Beenen LFM, Wermer MJH, Nijeholt GJLÀ, Boiten J, Jenniskens SFM, Bot JCJ, Boers AMM, Marquering HA, Roos YBWEM, van Oostenbrugge RJ, Dippel DWJ, van der Lugt A, van Zwam WH, Majoie CBLM. Effect of baseline Alberta Stroke Program Early CT Score on safety and efficacy of intra-arterial treatment: a subgroup analysis of a randomised phase 3 trial (MR CLEAN). Lancet Neurol 2016; 15:685-694. [DOI: 10.1016/s1474-4422(16)00124-1] [Citation(s) in RCA: 87] [Impact Index Per Article: 10.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2015] [Revised: 02/22/2016] [Accepted: 03/11/2016] [Indexed: 11/29/2022]
|
41
|
Barros RS, Olabarriaga SD, Borst J, van Walderveen MAA, Posthuma JS, Streekstra GJ, van Herk M, Majoie CBLM, Marquering HA. Dynamic CT perfusion image data compression for efficient parallel processing. Med Biol Eng Comput 2016; 54:463-73. [PMID: 26105146 PMCID: PMC4799275 DOI: 10.1007/s11517-015-1331-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2014] [Accepted: 06/08/2015] [Indexed: 11/30/2022]
Abstract
The increasing size of medical imaging data, in particular time series such as CT perfusion (CTP), requires new and fast approaches to deliver timely results for acute care. Cloud architectures based on graphics processing units (GPUs) can provide the processing capacity required for delivering fast results. However, the size of CTP datasets makes transfers to cloud infrastructures time-consuming and therefore not suitable in acute situations. To reduce this transfer time, this work proposes a fast and lossless compression algorithm for CTP data. The algorithm exploits redundancies in the temporal dimension and keeps random read-only access to the image elements directly from the compressed data on the GPU. To the best of our knowledge, this is the first work to present a GPU-ready method for medical image compression with random access to the image elements from the compressed data.
Collapse
Affiliation(s)
- Renan Sales Barros
- Biomedical Engineering and Physics, Academic Medical Center, University of Amsterdam, Location L0, Meibergdreef 15, 1105 AZ, Amsterdam, The Netherlands. .,Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Academic Medical Center, University of Amsterdam, Location B0, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands.
| | - Silvia Delgado Olabarriaga
- Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Academic Medical Center, University of Amsterdam, Location B0, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
| | - Jordi Borst
- Department of Radiology, Academic Medical Center, University of Amsterdam, Location B0, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
| | | | - Jorrit S Posthuma
- Biomedical Engineering and Physics, Academic Medical Center, University of Amsterdam, Location L0, Meibergdreef 15, 1105 AZ, Amsterdam, The Netherlands
| | - Geert J Streekstra
- Biomedical Engineering and Physics, Academic Medical Center, University of Amsterdam, Location L0, Meibergdreef 15, 1105 AZ, Amsterdam, The Netherlands.,Department of Radiology, Academic Medical Center, University of Amsterdam, Location B0, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
| | - Marcel van Herk
- Biomedical Engineering and Physics, Academic Medical Center, University of Amsterdam, Location L0, Meibergdreef 15, 1105 AZ, Amsterdam, The Netherlands.,Department of Radiation Oncology, The Netherlands Cancer Institute, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands
| | - Charles B L M Majoie
- Department of Radiology, Academic Medical Center, University of Amsterdam, Location B0, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
| | - Henk A Marquering
- Biomedical Engineering and Physics, Academic Medical Center, University of Amsterdam, Location L0, Meibergdreef 15, 1105 AZ, Amsterdam, The Netherlands.,Department of Radiology, Academic Medical Center, University of Amsterdam, Location B0, Meibergdreef 9, 1105 AZ, Amsterdam, The Netherlands
| |
Collapse
|
42
|
van den Wijngaard IR, Wermer MJH, Boiten J, Algra A, Holswilder G, Meijer FJA, Dippel DWJ, Velthuis BK, Majoie CBLM, van Walderveen MAA. Cortical Venous Filling on Dynamic Computed Tomographic Angiography: A Novel Predictor of Clinical Outcome in Patients With Acute Middle Cerebral Artery Stroke. Stroke 2016; 47:762-7. [PMID: 26814234 DOI: 10.1161/strokeaha.115.012279] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2015] [Accepted: 12/18/2015] [Indexed: 01/09/2023]
Abstract
BACKGROUND AND PURPOSE Venous flow in the downstream territory of an occluded artery may influence patient prognosis after ischemic stroke. Our aim was to study cortical venous filling (CVF) in a time-resolved manner with dynamic computed tomographic angiography and to assess the relationship with clinical outcome. METHODS Patients with a proximal middle cerebral artery occlusion underwent noncontrast CT and whole-brain CT perfusion/dynamic CT angiography within 9 hours after stroke-onset. We defined poor outcome as a modified Rankin Scale score of ≥3. Association between the extent and velocity of CVF and poor outcome at 3 months was analyzed with Poisson-regression. Prognostic value of optimal CVF (maximum opacification of cortical veins) in addition to age, stroke severity, treatment, Alberta Stroke Program Early CT score, cerebral blood flow, and collateral status was assessed with logistic regression and summarized with the area under the curve. RESULTS Eighty-eight patients were included, with a mean age of 67 years. By combining the extent and velocity of optimal CVF, we observed a decreased risk of poor outcome in patients with good and fast optimal CVF, risk ratio of 0.5 (95% confidence interval, 0.3-0.7). Extent and velocity of optimal CVF had additional prognostic value (area under the curve, 0.88; 95% confidence interval, 0.77-0.98; P<0.02) compared with a model without CVF information. CONCLUSIONS The combination of extent and velocity of optimal CVF, as assessed with dynamic CT angiography, is useful to identify patients with acute middle cerebral artery stroke at higher risk of poor clinical outcome at 3-month follow-up. CLINICAL TRIAL REGISTRATION URL: http://www.trialregister.nl/trialreg and http://www.clinicaltrials.gov. Unique identifier: NTR1804 and NCT00880113, respectively.
Collapse
Affiliation(s)
- Ido R van den Wijngaard
- From the Departments of Radiology (I.R.v.d.W., G.H., M.A.A.v.W.), Neurology (M.J.H.W.), and Clinical Epidemiology (A.A.), Leiden University Medical Center, Leiden, The Netherlands; Department of Neurology, Medical Center Haaglanden, The Hague, The Netherlands (I.R.v.d.W., J.B.); Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus (A.A.) and Department of Radiology (B.K.V.), University Medical Center Utrecht, Utrecht, The Netherlands; Department of Radiology, Radboud University Medical Center, Nijmegen, The Netherlands (F.J.A.M.); Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands (D.W.J.D.); and Department of Radiology, Academic Medical Center, Amsterdam, The Netherlands (C.B.L.M.M.).
| | - Marieke J H Wermer
- From the Departments of Radiology (I.R.v.d.W., G.H., M.A.A.v.W.), Neurology (M.J.H.W.), and Clinical Epidemiology (A.A.), Leiden University Medical Center, Leiden, The Netherlands; Department of Neurology, Medical Center Haaglanden, The Hague, The Netherlands (I.R.v.d.W., J.B.); Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus (A.A.) and Department of Radiology (B.K.V.), University Medical Center Utrecht, Utrecht, The Netherlands; Department of Radiology, Radboud University Medical Center, Nijmegen, The Netherlands (F.J.A.M.); Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands (D.W.J.D.); and Department of Radiology, Academic Medical Center, Amsterdam, The Netherlands (C.B.L.M.M.)
| | - Jelis Boiten
- From the Departments of Radiology (I.R.v.d.W., G.H., M.A.A.v.W.), Neurology (M.J.H.W.), and Clinical Epidemiology (A.A.), Leiden University Medical Center, Leiden, The Netherlands; Department of Neurology, Medical Center Haaglanden, The Hague, The Netherlands (I.R.v.d.W., J.B.); Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus (A.A.) and Department of Radiology (B.K.V.), University Medical Center Utrecht, Utrecht, The Netherlands; Department of Radiology, Radboud University Medical Center, Nijmegen, The Netherlands (F.J.A.M.); Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands (D.W.J.D.); and Department of Radiology, Academic Medical Center, Amsterdam, The Netherlands (C.B.L.M.M.)
| | - Ale Algra
- From the Departments of Radiology (I.R.v.d.W., G.H., M.A.A.v.W.), Neurology (M.J.H.W.), and Clinical Epidemiology (A.A.), Leiden University Medical Center, Leiden, The Netherlands; Department of Neurology, Medical Center Haaglanden, The Hague, The Netherlands (I.R.v.d.W., J.B.); Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus (A.A.) and Department of Radiology (B.K.V.), University Medical Center Utrecht, Utrecht, The Netherlands; Department of Radiology, Radboud University Medical Center, Nijmegen, The Netherlands (F.J.A.M.); Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands (D.W.J.D.); and Department of Radiology, Academic Medical Center, Amsterdam, The Netherlands (C.B.L.M.M.)
| | - Ghislaine Holswilder
- From the Departments of Radiology (I.R.v.d.W., G.H., M.A.A.v.W.), Neurology (M.J.H.W.), and Clinical Epidemiology (A.A.), Leiden University Medical Center, Leiden, The Netherlands; Department of Neurology, Medical Center Haaglanden, The Hague, The Netherlands (I.R.v.d.W., J.B.); Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus (A.A.) and Department of Radiology (B.K.V.), University Medical Center Utrecht, Utrecht, The Netherlands; Department of Radiology, Radboud University Medical Center, Nijmegen, The Netherlands (F.J.A.M.); Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands (D.W.J.D.); and Department of Radiology, Academic Medical Center, Amsterdam, The Netherlands (C.B.L.M.M.)
| | - Frederick J A Meijer
- From the Departments of Radiology (I.R.v.d.W., G.H., M.A.A.v.W.), Neurology (M.J.H.W.), and Clinical Epidemiology (A.A.), Leiden University Medical Center, Leiden, The Netherlands; Department of Neurology, Medical Center Haaglanden, The Hague, The Netherlands (I.R.v.d.W., J.B.); Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus (A.A.) and Department of Radiology (B.K.V.), University Medical Center Utrecht, Utrecht, The Netherlands; Department of Radiology, Radboud University Medical Center, Nijmegen, The Netherlands (F.J.A.M.); Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands (D.W.J.D.); and Department of Radiology, Academic Medical Center, Amsterdam, The Netherlands (C.B.L.M.M.)
| | - Diederik W J Dippel
- From the Departments of Radiology (I.R.v.d.W., G.H., M.A.A.v.W.), Neurology (M.J.H.W.), and Clinical Epidemiology (A.A.), Leiden University Medical Center, Leiden, The Netherlands; Department of Neurology, Medical Center Haaglanden, The Hague, The Netherlands (I.R.v.d.W., J.B.); Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus (A.A.) and Department of Radiology (B.K.V.), University Medical Center Utrecht, Utrecht, The Netherlands; Department of Radiology, Radboud University Medical Center, Nijmegen, The Netherlands (F.J.A.M.); Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands (D.W.J.D.); and Department of Radiology, Academic Medical Center, Amsterdam, The Netherlands (C.B.L.M.M.)
| | - Birgitta K Velthuis
- From the Departments of Radiology (I.R.v.d.W., G.H., M.A.A.v.W.), Neurology (M.J.H.W.), and Clinical Epidemiology (A.A.), Leiden University Medical Center, Leiden, The Netherlands; Department of Neurology, Medical Center Haaglanden, The Hague, The Netherlands (I.R.v.d.W., J.B.); Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus (A.A.) and Department of Radiology (B.K.V.), University Medical Center Utrecht, Utrecht, The Netherlands; Department of Radiology, Radboud University Medical Center, Nijmegen, The Netherlands (F.J.A.M.); Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands (D.W.J.D.); and Department of Radiology, Academic Medical Center, Amsterdam, The Netherlands (C.B.L.M.M.)
| | - Charles B L M Majoie
- From the Departments of Radiology (I.R.v.d.W., G.H., M.A.A.v.W.), Neurology (M.J.H.W.), and Clinical Epidemiology (A.A.), Leiden University Medical Center, Leiden, The Netherlands; Department of Neurology, Medical Center Haaglanden, The Hague, The Netherlands (I.R.v.d.W., J.B.); Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus (A.A.) and Department of Radiology (B.K.V.), University Medical Center Utrecht, Utrecht, The Netherlands; Department of Radiology, Radboud University Medical Center, Nijmegen, The Netherlands (F.J.A.M.); Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands (D.W.J.D.); and Department of Radiology, Academic Medical Center, Amsterdam, The Netherlands (C.B.L.M.M.)
| | - Marianne A A van Walderveen
- From the Departments of Radiology (I.R.v.d.W., G.H., M.A.A.v.W.), Neurology (M.J.H.W.), and Clinical Epidemiology (A.A.), Leiden University Medical Center, Leiden, The Netherlands; Department of Neurology, Medical Center Haaglanden, The Hague, The Netherlands (I.R.v.d.W., J.B.); Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus (A.A.) and Department of Radiology (B.K.V.), University Medical Center Utrecht, Utrecht, The Netherlands; Department of Radiology, Radboud University Medical Center, Nijmegen, The Netherlands (F.J.A.M.); Department of Neurology, Erasmus University Medical Center, Rotterdam, The Netherlands (D.W.J.D.); and Department of Radiology, Academic Medical Center, Amsterdam, The Netherlands (C.B.L.M.M.)
| |
Collapse
|
43
|
van Seeters T, Biessels GJ, Kappelle LJ, van der Schaaf IC, Dankbaar JW, Horsch AD, Niesten JM, Luitse MJA, Majoie CBLM, Vos JA, Schonewille WJ, van Walderveen MAA, Wermer MJH, Duijm LEM, Keizer K, Bot JCJ, Visser MC, van der Lugt A, Dippel DWJ, Kesselring FOHW, Hofmeijer J, Lycklama À Nijeholt GJ, Boiten J, van Rooij WJ, de Kort PLM, Roos YBWEM, Meijer FJA, Pleiter CC, Mali WPTM, van der Graaf Y, Velthuis BK. CT angiography and CT perfusion improve prediction of infarct volume in patients with anterior circulation stroke. Neuroradiology 2016; 58:327-37. [PMID: 26767380 PMCID: PMC4819789 DOI: 10.1007/s00234-015-1636-z] [Citation(s) in RCA: 21] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/12/2015] [Accepted: 12/17/2015] [Indexed: 01/26/2023]
Abstract
Introduction We investigated whether baseline CT angiography (CTA) and CT perfusion (CTP) in acute ischemic stroke could improve prediction of infarct presence and infarct volume on follow-up imaging. Methods We analyzed 906 patients with suspected anterior circulation stroke from the prospective multicenter Dutch acute stroke study (DUST). All patients underwent baseline non-contrast CT, CTA, and CTP and follow-up non-contrast CT/MRI after 3 days. Multivariable regression models were developed including patient characteristics and non-contrast CT, and subsequently, CTA and CTP measures were added. The increase in area under the curve (AUC) and R2 was assessed to determine the additional value of CTA and CTP. Results At follow-up, 612 patients (67.5 %) had a detectable infarct on CT/MRI; median infarct volume was 14.8 mL (interquartile range (IQR) 2.8–69.6). Regarding infarct presence, the AUC of 0.82 (95 % confidence interval (CI) 0.79–0.85) for patient characteristics and non-contrast CT was improved with addition of CTA measures (AUC 0.85 (95 % CI 0.82–0.87); p < 0.001) and was even higher after addition of CTP measures (AUC 0.89 (95 % CI 0.87–0.91); p < 0.001) and combined CTA/CTP measures (AUC 0.89 (95 % CI 0.87–0.91); p < 0.001). For infarct volume, adding combined CTA/CTP measures (R2 = 0.58) was superior to patient characteristics and non-contrast CT alone (R2 = 0.44) and to addition of CTA alone (R2 = 0.55) or CTP alone (R2 = 0.54; all p < 0.001). Conclusion In the acute stage, CTA and CTP have additional value over patient characteristics and non-contrast CT for predicting infarct presence and infarct volume on follow-up imaging. These findings could be applied for patient selection in future trials on ischemic stroke treatment. Electronic supplementary material The online version of this article (doi:10.1007/s00234-015-1636-z) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Tom van Seeters
- Department of Radiology, University Medical Center Utrecht, Heidelberglaan 100, HP E01.132 3584 CX, Utrecht, The Netherlands.
| | - Geert Jan Biessels
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - L Jaap Kappelle
- Department of Neurology, Brain Center Rudolf Magnus, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Irene C van der Schaaf
- Department of Radiology, University Medical Center Utrecht, Heidelberglaan 100, HP E01.132 3584 CX, Utrecht, The Netherlands
| | - Jan Willem Dankbaar
- Department of Radiology, University Medical Center Utrecht, Heidelberglaan 100, HP E01.132 3584 CX, Utrecht, The Netherlands
| | - Alexander D Horsch
- Department of Radiology, University Medical Center Utrecht, Heidelberglaan 100, HP E01.132 3584 CX, Utrecht, The Netherlands
| | - Joris M Niesten
- Department of Radiology, University Medical Center Utrecht, Heidelberglaan 100, HP E01.132 3584 CX, Utrecht, The Netherlands
| | - Merel J A Luitse
- Department of Radiology, University Medical Center Utrecht, Heidelberglaan 100, HP E01.132 3584 CX, Utrecht, The Netherlands
| | | | - Jan Albert Vos
- Department of Radiology, St. Antonius Hospital, Nieuwegein, The Netherlands
| | | | | | - Marieke J H Wermer
- Department of Neurology, Leiden University Medical Center, Leiden, The Netherlands
| | - Lucien E M Duijm
- Department of Radiology, Catharina Hospital, Eindhoven, The Netherlands
| | - Koos Keizer
- Department of Neurology, Catharina Hospital, Eindhoven, The Netherlands
| | - Joseph C J Bot
- Department of Radiology, VU University Medical Center, Amsterdam, The Netherlands
| | - Marieke C Visser
- Department of Neurology, VU University Medical Center, Amsterdam, The Netherlands
| | - Aad van der Lugt
- Department of Radiology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | - Diederik W J Dippel
- Department of Neurology, Erasmus MC University Medical Center, Rotterdam, The Netherlands
| | | | | | | | - Jelis Boiten
- Department of Neurology, Medical Center Haaglanden, The Hague, The Netherlands
| | | | - Paul L M de Kort
- Department of Neurology, St. Elisabeth Hospital, Tilburg, The Netherlands
| | - Yvo B W E M Roos
- Department of Neurology, Academic Medical Center, Amsterdam, The Netherlands
| | - Frederick J A Meijer
- Department of Radiology, Radboud University Medical Center, Nijmegen, The Netherlands
| | | | - Willem P T M Mali
- Department of Radiology, University Medical Center Utrecht, Heidelberglaan 100, HP E01.132 3584 CX, Utrecht, The Netherlands
| | - Yolanda van der Graaf
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Birgitta K Velthuis
- Department of Radiology, University Medical Center Utrecht, Heidelberglaan 100, HP E01.132 3584 CX, Utrecht, The Netherlands
| | | |
Collapse
|
44
|
Fransen PSS, Berkhemer OA, Lingsma HF, Beumer D, van den Berg LA, Yoo AJ, Schonewille WJ, Vos JA, Nederkoorn PJ, Wermer MJH, van Walderveen MAA, Staals J, Hofmeijer J, van Oostayen JA, Lycklama À Nijeholt GJ, Boiten J, Brouwer PA, Emmer BJ, de Bruijn SF, van Dijk LC, Kappelle LJ, Lo RH, van Dijk EJ, de Vries J, de Kort PLM, van den Berg JSP, van Hasselt BAAM, Aerden LAM, Dallinga RJ, Visser MC, Bot JCJ, Vroomen PC, Eshghi O, Schreuder THCML, Heijboer RJJ, Keizer K, Tielbeek AV, den Hertog HM, Gerrits DG, van den Berg-Vos RM, Karas GB, Steyerberg EW, Flach HZ, Marquering HA, Sprengers MES, Jenniskens SFM, Beenen LFM, van den Berg R, Koudstaal PJ, van Zwam WH, Roos YBWEM, van Oostenbrugge RJ, Majoie CBLM, van der Lugt A, Dippel DWJ. Time to Reperfusion and Treatment Effect for Acute Ischemic Stroke: A Randomized Clinical Trial. JAMA Neurol 2015; 73:190-6. [PMID: 26716735 DOI: 10.1001/jamaneurol.2015.3886] [Citation(s) in RCA: 170] [Impact Index Per Article: 18.9] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022]
Abstract
IMPORTANCE Intra-arterial treatment (IAT) for acute ischemic stroke caused by intracranial arterial occlusion leads to improved functional outcome in patients treated within 6 hours after onset. The influence of treatment delay on treatment effect is not yet known. OBJECTIVE To evaluate the influence of time from stroke onset to the start of treatment and from stroke onset to reperfusion on the effect of IAT. DESIGN, SETTING, AND PARTICIPANTS The Multicenter Randomized Clinical Trial of Endovascular Treatment of Acute Ischemic Stroke in the Netherlands (MR CLEAN) was a multicenter, randomized clinical open-label trial of IAT vs no IAT in 500 patients. The time to the start of treatment was defined as the time from onset of symptoms to groin puncture (TOG). The time from onset of treatment to reperfusion (TOR) was defined as the time to reopening the vessel occlusion or the end of the procedure in cases for which reperfusion was not achieved. Data were collected from December 3, 2010, to June 3, 2014, and analyzed (intention to treat) from July 1, 2014, to September 19, 2015. MAIN OUTCOMES AND MEASURES Main outcome was the modified Rankin Scale (mRS) score for functional outcome (range, 0 [no symptoms] to 6 [death]). Multiple ordinal logistic regression analysis estimated the effect of treatment and tested for the interaction of time to randomization, TOG, and TOR with treatment. The effect of treatment as a risk difference on reaching independence (mRS score, 0-2) was computed as a function of TOG and TOR. Calculations were adjusted for age, National Institutes of Health Stroke Scale score, previous stroke, atrial fibrillation, diabetes mellitus, and intracranial arterial terminus occlusion. RESULTS Among 500 patients (58% male; median age, 67 years), the median TOG was 260 (interquartile range [IQR], 210-311) minutes; median TOR, 340 (IQR, 274-395) minutes. An interaction between TOR and treatment (P = .04) existed, but not between TOG and treatment (P = .26). The adjusted risk difference (95% CI) was 25.9% (8.3%-44.4%) when reperfusion was reached at 3 hours, 18.8% (6.6%-32.6%) at 4 hours, and 6.7% (0.4%-14.5%) at 6 hours. CONCLUSION AND RELEVANCE For every hour of reperfusion delay, the initially large benefit of IAT decreases; the absolute risk difference for a good outcome is reduced by 6% per hour of delay. Patients with acute ischemic stroke require immediate diagnostic workup and IAT in case of intracranial arterial vessel occlusion. TRIAL REGISTRATION trialregister.nl Identifier: NTR1804.
Collapse
Affiliation(s)
- Puck S S Fransen
- Department of Neurology, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands2Department of Radiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Olvert A Berkhemer
- Department of Neurology, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands3Department of Radiology, Academic Medical Center, Amsterdam, the Netherlands
| | - Hester F Lingsma
- Department of Public Health, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Debbie Beumer
- Department of Neurology, Maastricht University Medical Center, Cardiovascular Research Institute Maastricht, Maastricht, the Netherlands
| | | | | | | | - Jan Albert Vos
- Department of Radiology, St Antonius Hospital, Nieuwegein, the Netherlands
| | - Paul J Nederkoorn
- Department of Neurology, Academic Medical Center, Amsterdam, the Netherlands
| | - Marieke J H Wermer
- Department of Neurology, Leiden University Medical Center, Leiden, the Netherlands
| | | | - Julie Staals
- Department of Neurology, Maastricht University Medical Center, Cardiovascular Research Institute Maastricht, Maastricht, the Netherlands
| | | | | | | | - Jelis Boiten
- Department of Neurology, Medisch Centrum Haaglanden, the Hague, the Netherlands
| | - Patrick A Brouwer
- Department of Radiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Bart J Emmer
- Department of Radiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands
| | | | - Lukas C van Dijk
- Department of Radiology, Haga Hospital, the Hague, the Netherlands
| | - L Jaap Kappelle
- Department of Neurology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Rob H Lo
- Department of Radiology, University Medical Center Utrecht, Utrecht, the Netherlands
| | - Ewoud J van Dijk
- Department of Neurology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Joost de Vries
- Department of Neurosurgery, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Paul L M de Kort
- Department of Neurology, St Elisabeth Hospital, Tilburg, the Netherlands
| | | | | | - Leo A M Aerden
- Department of Neurology, Reinier de Graaf Gasthuis, Delft, the Netherlands
| | - René J Dallinga
- Department of Radiology, Reinier de Graaf Gasthuis, Delft, the Netherlands
| | - Marieke C Visser
- Department of Neurology, VU Medical Center, Amsterdam, the Netherlands
| | - Joseph C J Bot
- Department of Radiology, VU Medical Center, Amsterdam, the Netherlands
| | - Patrick C Vroomen
- Department of Neurology, University Medical Center Groningen, Groningen, the Netherlands
| | - Omid Eshghi
- Department of Radiology, University Medical Center Groningen, Groningen, the Netherlands
| | | | - Roel J J Heijboer
- Department of Radiology, Atrium Medical Center, Heerlen, the Netherlands
| | - Koos Keizer
- Department of Neurology, Catharina Hospital, Eindhoven, the Netherlands
| | | | | | - Dick G Gerrits
- Department of Radiology, Medical Spectrum Twente, Enschede, the Netherlands
| | | | - Giorgos B Karas
- Department of Radiology, St Lucas Andreas Hospital, Amsterdam, the Netherlands
| | - Ewout W Steyerberg
- Department of Public Health, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - H Zwenneke Flach
- Department of Neurology, Reinier de Graaf Gasthuis, Delft, the Netherlands
| | - Henk A Marquering
- Department of Radiology, Academic Medical Center, Amsterdam, the Netherlands39Department of Biomedical Engineering and Physics, Academic Medical Center, Amsterdam, the Netherlands
| | | | - Sjoerd F M Jenniskens
- Department of Radiology, Radboud University Medical Center, Nijmegen, the Netherlands
| | - Ludo F M Beenen
- Department of Radiology, Academic Medical Center, Amsterdam, the Netherlands
| | - René van den Berg
- Department of Radiology, Academic Medical Center, Amsterdam, the Netherlands
| | - Peter J Koudstaal
- Department of Neurology, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Wim H van Zwam
- Department of Radiology, Maastricht University Medical Center, Maastricht, the Netherlands
| | - Yvo B W E M Roos
- Department of Neurology, Academic Medical Center, Amsterdam, the Netherlands
| | - Robert J van Oostenbrugge
- Department of Neurology, Maastricht University Medical Center, Cardiovascular Research Institute Maastricht, Maastricht, the Netherlands
| | | | - Aad van der Lugt
- Department of Radiology, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands
| | - Diederik W J Dippel
- Department of Neurology, Erasmus MC University Medical Center Rotterdam, Rotterdam, the Netherlands
| | | |
Collapse
|
45
|
Geuskens RREG, Borst J, Lucas M, Boers AMM, Berkhemer OA, Roos YBWEM, van Walderveen MAA, Jenniskens SFM, van Zwam WH, Dippel DWJ, Majoie CBLM, Marquering HA. Characteristics of Misclassified CT Perfusion Ischemic Core in Patients with Acute Ischemic Stroke. PLoS One 2015; 10:e0141571. [PMID: 26536226 PMCID: PMC4633055 DOI: 10.1371/journal.pone.0141571] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2015] [Accepted: 10/09/2015] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND CT perfusion (CTP) is used to estimate the extent of ischemic core and penumbra in patients with acute ischemic stroke. CTP reliability, however, is limited. This study aims to identify regions misclassified as ischemic core on CTP, using infarct on follow-up noncontrast CT. We aim to assess differences in volumetric and perfusion characteristics in these regions compared to areas that ended up as infarct on follow-up. MATERIALS AND METHODS This study included 35 patients with >100 mm brain coverage CTP. CTP processing was performed using Philips software (IntelliSpace 7.0). Final infarct was automatically segmented on follow-up noncontrast CT and used as reference. CTP and follow-up noncontrast CT image data were registered. This allowed classification of ischemic lesion agreement (core on CTP: rMTT≥145%, aCBV<2.0 ml/100g and infarct on follow-up noncontrast CT) and misclassified ischemic core (core on CTP, not identified on follow-up noncontrast CT) regions. False discovery ratio (FDR), defined as misclassified ischemic core volume divided by total CTP ischemic core volume, was calculated. Absolute and relative CTP parameters (CBV, CBF, and MTT) were calculated for both misclassified CTP ischemic core and ischemic lesion agreement regions and compared using paired rank-sum tests. RESULTS Median total CTP ischemic core volume was 49.7ml (IQR:29.9ml-132ml); median misclassified ischemic core volume was 30.4ml (IQR:20.9ml-77.0ml). Median FDR between patients was 62% (IQR:49%-80%). Median relative mean transit time was 243% (IQR:198%-289%) and 342% (IQR:249%-432%) for misclassified and ischemic lesion agreement regions, respectively. Median absolute cerebral blood volume was 1.59 (IQR:1.43-1.79) ml/100g (P<0.01) and 1.38 (IQR:1.15-1.49) ml/100g (P<0.01) for misclassified ischemic core and ischemic lesion agreement, respectively. All CTP parameter values differed significantly. CONCLUSION For all patients a considerable region of the CTP ischemic core is misclassified. CTP parameters significantly differed between ischemic lesion agreement and misclassified CTP ischemic core, suggesting that CTP analysis may benefit from revisions.
Collapse
Affiliation(s)
- Ralph R. E. G. Geuskens
- Dept. of Biomedical Engineering and Physics, Academic Medical Center, Amsterdam, The Netherlands
| | - Jordi Borst
- Dept. of Radiology, Academic Medical Center, Amsterdam, The Netherlands
| | - Marit Lucas
- Dept. of Biomedical Engineering and Physics, Academic Medical Center, Amsterdam, The Netherlands
| | - A. M. Merel Boers
- Dept. of Biomedical Engineering and Physics, Academic Medical Center, Amsterdam, The Netherlands
| | | | | | | | | | - Wim H. van Zwam
- Dept. of Radiology, Maastricht University Medical Center+, Maastricht, The Netherlands
| | | | | | - Henk A. Marquering
- Dept. of Biomedical Engineering and Physics, Academic Medical Center, Amsterdam, The Netherlands
- Dept. of Radiology, Academic Medical Center, Amsterdam, The Netherlands
| | | |
Collapse
|
46
|
Backes D, Vergouwen MDI, Tiel Groenestege AT, Bor ASE, Velthuis BK, Greving JP, Algra A, Wermer MJH, van Walderveen MAA, terBrugge KG, Agid R, Rinkel GJE. PHASES Score for Prediction of Intracranial Aneurysm Growth. Stroke 2015; 46:1221-6. [PMID: 25757900 DOI: 10.1161/strokeaha.114.008198] [Citation(s) in RCA: 104] [Impact Index Per Article: 11.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2014] [Accepted: 02/17/2015] [Indexed: 11/16/2022]
Abstract
BACKGROUND AND PURPOSE Growth of an intracranial aneurysm occurs in around 10% of patients at 2-year follow-up imaging and may be associated with aneurysm rupture. We investigated whether PHASES, a score providing absolute risks of aneurysm rupture based on 6 easily retrievable risk factors, also predicts aneurysm growth. METHODS In a multicenter cohort of patients with unruptured intracranial aneurysms and follow-up imaging with computed tomography angiography or magnetic resonance angiography, we performed univariable and multivariable Cox regression analyses for the predictors of the PHASES score at baseline, with aneurysm growth as outcome. We calculated hazard ratios and corresponding 95% confidence intervals (CI), with the PHASES score as continuous variable and after division into quartiles. RESULTS We included 557 patients with 734 unruptured aneurysms. Eighty-nine (12%) aneurysms in 87 patients showed growth during a median follow-up of 2.7 patient-years (range 0.5-10.8). Per point increase in PHASES score, hazard ratio for aneurysm growth was 1.32 (95% CI, 1.22-1.43). With the lowest quartile of the PHASES score (0-1) as reference, hazard ratios were for the second (PHASES 2-3) 1.07 (95% CI, 0.49-2.32), the third (PHASES 4) 2.29 (95% CI, 1.05-4.95), and the fourth quartile (PHASES 5-14) 2.85 (95% CI, 1.43-5.67). CONCLUSIONS Higher PHASES scores were associated with an increased risk of aneurysm growth. Because higher PHASES scores also predict aneurysm rupture, our findings suggest that aneurysm growth can be used as surrogate outcome measure of aneurysm rupture in follow-up studies on risk prediction or interventions aimed to reduce the risk of rupture.
Collapse
Affiliation(s)
- Daan Backes
- From the Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus (D.B., M.D.I.V., A.T.T.G., A.S.E.B., A.A., G.J.E.R.), Department of Radiology (B.K.V.), and Julius Center for Health Sciences and Primary Care (J.P.G., A.A.), University Medical Center Utrecht, Utrecht, the Netherlands; Departments of Neurology (M.J.H.W.) and Radiology (M.A.A.v.W.), Leiden University Medical Center, Leiden, the Netherlands; and Division of Neuroradiology, Department of Medical Imaging, Toronto Western Hospital, Toronto, Canada (K.G.t.B., R.A.).
| | - Mervyn D I Vergouwen
- From the Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus (D.B., M.D.I.V., A.T.T.G., A.S.E.B., A.A., G.J.E.R.), Department of Radiology (B.K.V.), and Julius Center for Health Sciences and Primary Care (J.P.G., A.A.), University Medical Center Utrecht, Utrecht, the Netherlands; Departments of Neurology (M.J.H.W.) and Radiology (M.A.A.v.W.), Leiden University Medical Center, Leiden, the Netherlands; and Division of Neuroradiology, Department of Medical Imaging, Toronto Western Hospital, Toronto, Canada (K.G.t.B., R.A.)
| | - Andreas T Tiel Groenestege
- From the Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus (D.B., M.D.I.V., A.T.T.G., A.S.E.B., A.A., G.J.E.R.), Department of Radiology (B.K.V.), and Julius Center for Health Sciences and Primary Care (J.P.G., A.A.), University Medical Center Utrecht, Utrecht, the Netherlands; Departments of Neurology (M.J.H.W.) and Radiology (M.A.A.v.W.), Leiden University Medical Center, Leiden, the Netherlands; and Division of Neuroradiology, Department of Medical Imaging, Toronto Western Hospital, Toronto, Canada (K.G.t.B., R.A.)
| | - A Stijntje E Bor
- From the Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus (D.B., M.D.I.V., A.T.T.G., A.S.E.B., A.A., G.J.E.R.), Department of Radiology (B.K.V.), and Julius Center for Health Sciences and Primary Care (J.P.G., A.A.), University Medical Center Utrecht, Utrecht, the Netherlands; Departments of Neurology (M.J.H.W.) and Radiology (M.A.A.v.W.), Leiden University Medical Center, Leiden, the Netherlands; and Division of Neuroradiology, Department of Medical Imaging, Toronto Western Hospital, Toronto, Canada (K.G.t.B., R.A.)
| | - Birgitta K Velthuis
- From the Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus (D.B., M.D.I.V., A.T.T.G., A.S.E.B., A.A., G.J.E.R.), Department of Radiology (B.K.V.), and Julius Center for Health Sciences and Primary Care (J.P.G., A.A.), University Medical Center Utrecht, Utrecht, the Netherlands; Departments of Neurology (M.J.H.W.) and Radiology (M.A.A.v.W.), Leiden University Medical Center, Leiden, the Netherlands; and Division of Neuroradiology, Department of Medical Imaging, Toronto Western Hospital, Toronto, Canada (K.G.t.B., R.A.)
| | - Jacoba P Greving
- From the Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus (D.B., M.D.I.V., A.T.T.G., A.S.E.B., A.A., G.J.E.R.), Department of Radiology (B.K.V.), and Julius Center for Health Sciences and Primary Care (J.P.G., A.A.), University Medical Center Utrecht, Utrecht, the Netherlands; Departments of Neurology (M.J.H.W.) and Radiology (M.A.A.v.W.), Leiden University Medical Center, Leiden, the Netherlands; and Division of Neuroradiology, Department of Medical Imaging, Toronto Western Hospital, Toronto, Canada (K.G.t.B., R.A.)
| | - Ale Algra
- From the Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus (D.B., M.D.I.V., A.T.T.G., A.S.E.B., A.A., G.J.E.R.), Department of Radiology (B.K.V.), and Julius Center for Health Sciences and Primary Care (J.P.G., A.A.), University Medical Center Utrecht, Utrecht, the Netherlands; Departments of Neurology (M.J.H.W.) and Radiology (M.A.A.v.W.), Leiden University Medical Center, Leiden, the Netherlands; and Division of Neuroradiology, Department of Medical Imaging, Toronto Western Hospital, Toronto, Canada (K.G.t.B., R.A.)
| | - Marieke J H Wermer
- From the Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus (D.B., M.D.I.V., A.T.T.G., A.S.E.B., A.A., G.J.E.R.), Department of Radiology (B.K.V.), and Julius Center for Health Sciences and Primary Care (J.P.G., A.A.), University Medical Center Utrecht, Utrecht, the Netherlands; Departments of Neurology (M.J.H.W.) and Radiology (M.A.A.v.W.), Leiden University Medical Center, Leiden, the Netherlands; and Division of Neuroradiology, Department of Medical Imaging, Toronto Western Hospital, Toronto, Canada (K.G.t.B., R.A.)
| | - Marianne A A van Walderveen
- From the Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus (D.B., M.D.I.V., A.T.T.G., A.S.E.B., A.A., G.J.E.R.), Department of Radiology (B.K.V.), and Julius Center for Health Sciences and Primary Care (J.P.G., A.A.), University Medical Center Utrecht, Utrecht, the Netherlands; Departments of Neurology (M.J.H.W.) and Radiology (M.A.A.v.W.), Leiden University Medical Center, Leiden, the Netherlands; and Division of Neuroradiology, Department of Medical Imaging, Toronto Western Hospital, Toronto, Canada (K.G.t.B., R.A.)
| | - Karel G terBrugge
- From the Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus (D.B., M.D.I.V., A.T.T.G., A.S.E.B., A.A., G.J.E.R.), Department of Radiology (B.K.V.), and Julius Center for Health Sciences and Primary Care (J.P.G., A.A.), University Medical Center Utrecht, Utrecht, the Netherlands; Departments of Neurology (M.J.H.W.) and Radiology (M.A.A.v.W.), Leiden University Medical Center, Leiden, the Netherlands; and Division of Neuroradiology, Department of Medical Imaging, Toronto Western Hospital, Toronto, Canada (K.G.t.B., R.A.)
| | - Ronit Agid
- From the Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus (D.B., M.D.I.V., A.T.T.G., A.S.E.B., A.A., G.J.E.R.), Department of Radiology (B.K.V.), and Julius Center for Health Sciences and Primary Care (J.P.G., A.A.), University Medical Center Utrecht, Utrecht, the Netherlands; Departments of Neurology (M.J.H.W.) and Radiology (M.A.A.v.W.), Leiden University Medical Center, Leiden, the Netherlands; and Division of Neuroradiology, Department of Medical Imaging, Toronto Western Hospital, Toronto, Canada (K.G.t.B., R.A.)
| | - Gabriel J E Rinkel
- From the Department of Neurology and Neurosurgery, Brain Center Rudolf Magnus (D.B., M.D.I.V., A.T.T.G., A.S.E.B., A.A., G.J.E.R.), Department of Radiology (B.K.V.), and Julius Center for Health Sciences and Primary Care (J.P.G., A.A.), University Medical Center Utrecht, Utrecht, the Netherlands; Departments of Neurology (M.J.H.W.) and Radiology (M.A.A.v.W.), Leiden University Medical Center, Leiden, the Netherlands; and Division of Neuroradiology, Department of Medical Imaging, Toronto Western Hospital, Toronto, Canada (K.G.t.B., R.A.)
| |
Collapse
|
47
|
Berkhemer OA, Fransen PSS, Beumer D, van den Berg LA, Lingsma HF, Yoo AJ, Schonewille WJ, Vos JA, Nederkoorn PJ, Wermer MJH, van Walderveen MAA, Staals J, Hofmeijer J, van Oostayen JA, Lycklama à Nijeholt GJ, Boiten J, Brouwer PA, Emmer BJ, de Bruijn SF, van Dijk LC, Kappelle LJ, Lo RH, van Dijk EJ, de Vries J, de Kort PLM, van Rooij WJJ, van den Berg JSP, van Hasselt BAAM, Aerden LAM, Dallinga RJ, Visser MC, Bot JCJ, Vroomen PC, Eshghi O, Schreuder THCML, Heijboer RJJ, Keizer K, Tielbeek AV, den Hertog HM, Gerrits DG, van den Berg-Vos RM, Karas GB, Steyerberg EW, Flach HZ, Marquering HA, Sprengers MES, Jenniskens SFM, Beenen LFM, van den Berg R, Koudstaal PJ, van Zwam WH, Roos YBWEM, van der Lugt A, van Oostenbrugge RJ, Majoie CBLM, Dippel DWJ. A randomized trial of intraarterial treatment for acute ischemic stroke. N Engl J Med 2015; 372:11-20. [PMID: 25517348 DOI: 10.1056/nejmoa1411587] [Citation(s) in RCA: 4479] [Impact Index Per Article: 497.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
BACKGROUND In patients with acute ischemic stroke caused by a proximal intracranial arterial occlusion, intraarterial treatment is highly effective for emergency revascularization. However, proof of a beneficial effect on functional outcome is lacking. METHODS We randomly assigned eligible patients to either intraarterial treatment plus usual care or usual care alone. Eligible patients had a proximal arterial occlusion in the anterior cerebral circulation that was confirmed on vessel imaging and that could be treated intraarterially within 6 hours after symptom onset. The primary outcome was the modified Rankin scale score at 90 days; this categorical scale measures functional outcome, with scores ranging from 0 (no symptoms) to 6 (death). The treatment effect was estimated with ordinal logistic regression as a common odds ratio, adjusted for prespecified prognostic factors. The adjusted common odds ratio measured the likelihood that intraarterial treatment would lead to lower modified Rankin scores, as compared with usual care alone (shift analysis). RESULTS We enrolled 500 patients at 16 medical centers in The Netherlands (233 assigned to intraarterial treatment and 267 to usual care alone). The mean age was 65 years (range, 23 to 96), and 445 patients (89.0%) were treated with intravenous alteplase before randomization. Retrievable stents were used in 190 of the 233 patients (81.5%) assigned to intraarterial treatment. The adjusted common odds ratio was 1.67 (95% confidence interval [CI], 1.21 to 2.30). There was an absolute difference of 13.5 percentage points (95% CI, 5.9 to 21.2) in the rate of functional independence (modified Rankin score, 0 to 2) in favor of the intervention (32.6% vs. 19.1%). There were no significant differences in mortality or the occurrence of symptomatic intracerebral hemorrhage. CONCLUSIONS In patients with acute ischemic stroke caused by a proximal intracranial occlusion of the anterior circulation, intraarterial treatment administered within 6 hours after stroke onset was effective and safe. (Funded by the Dutch Heart Foundation and others; MR CLEAN Netherlands Trial Registry number, NTR1804, and Current Controlled Trials number, ISRCTN10888758.).
Collapse
|
48
|
Bleeker EJW, Webb AG, van Walderveen MAA, van Buchem MA, van Osch MJP. Evaluation of signal formation in local arterial input function measurements of dynamic susceptibility contrast MRI. Magn Reson Med 2011; 67:1324-31. [PMID: 22190258 DOI: 10.1002/mrm.23120] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2010] [Revised: 06/07/2011] [Accepted: 07/07/2011] [Indexed: 11/09/2022]
Abstract
Correct arterial input function (AIF) measurements in dynamic susceptibility contrast-MRI are crucial for quantification of the hemodynamic parameters. Often a single global AIF is selected near a large brain-feeding artery. Alternatively, local AIF measurements aim for voxel-specific AIFs from smaller arteries. Because local AIFs are measured higher in the arterial-tree, it is assumed that these will reflect the true input of the microvasculature much better. However, do the measured local AIFs reflect the true concentration-time curves of small arteries? To answer this question, in vivo data were used to evaluate local AIF candidates selected based on two different types of angiograms. For interpretation purposes, a 3D numerical model that simulated partial-volume effects in local AIF measurements was created and the simulated local AIFs were compared to the ground truth. The findings are 2-fold. First, the in vivo data showed that the shape-characteristics of local AIFs are similar to the shape-characteristics of gray matter concentration-time curves. Second, these findings are supported by the simulations showing broadening of the measured local AIFs compared to the ground truth. These findings are suggesting that local AIF measurements do not necessarily reflect the true concentration-time curve in small arteries.
Collapse
Affiliation(s)
- Egbert J W Bleeker
- Department of Radiology, CJ Gorter Center for High Field MRI, Leiden University Medical Center, Leiden, The Netherlands
| | | | | | | | | |
Collapse
|
49
|
van den Tweel XW, Nederveen AJ, Majoie CBLM, van der Lee JH, Wagener-Schimmel L, van Walderveen MAA, The BTP, Nederkoorn PJ, Heijboer H, Fijnvandraat K. Cerebral Blood Flow Measurement in Children With Sickle Cell Disease Using Continuous Arterial Spin Labeling at 3.0-Tesla MRI. Stroke 2009; 40:795-800. [DOI: 10.1161/strokeaha.108.523308] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background and Purpose—
Cerebral infarction is an important complication of sickle cell disease (SCD) and occurs in one third of the patients with SCD. The risk of infarction is commonly attributed to the hyperemia that is associated with anemia and reduces the cerebral vascular reserve. We measured regional cerebral blood flow (rCBF) by continuous arterial spin labeling MRI, which is a noninvasive method that does not require ionizing radiation. The purpose of this study was to examine rCBF in children with SCD and compare it with rCBF in healthy children.
Methods—
rCBF was measured at 3-T continuous arterial spin labeling MRI in 24 neurological normal patients with SCD and in 12 healthy children matched for ethnicity and age (mean age in both groups 13 years). rCBF was calculated for 6 vascular territories (left and right anterior, middle and posterior cerebral artery). Asymmetry in rCBF was evaluated by measuring differences in flow between left and right hemispheres. The definition of asymmetry (>11.7 mL/100 g/min) was based on a repeatability study performed in 6 healthy adults.
Results—
The rCBF was of similar magnitude in patients with SCD and control subjects in the frontal, middle, and posterior territories. The majority of patients with SCD (58%) demonstrated a left–right asymmetry of rCBF in one or more vascular territories, whereas none of the control subjects did.
Conclusion—
In contrast to previous studies, we found no difference in cerebral blood flow between patients and control subjects. We did observe an asymmetry in rCBF in the majority of patients with SCD that was not present in healthy control subjects.
Collapse
Affiliation(s)
- Xandra W. van den Tweel
- From the Departments of Pediatric Hematology (X.W.v.d.T., H.H., K.F.), Pediatric Clinical Epidemiology (J.H.v.d.L., K.F.), and Pediatric Neurology (L.W.-S., B.T.P.T.), Emma Children’s Hospital, and the Departments of Radiology (A.J.N., C.B.L.M.M., M.A.A.v.W.) and Neurology (P.J.N.), Academic Medical Center, Amsterdam, The Netherlands
| | - Aart J. Nederveen
- From the Departments of Pediatric Hematology (X.W.v.d.T., H.H., K.F.), Pediatric Clinical Epidemiology (J.H.v.d.L., K.F.), and Pediatric Neurology (L.W.-S., B.T.P.T.), Emma Children’s Hospital, and the Departments of Radiology (A.J.N., C.B.L.M.M., M.A.A.v.W.) and Neurology (P.J.N.), Academic Medical Center, Amsterdam, The Netherlands
| | - Charles B. L. M. Majoie
- From the Departments of Pediatric Hematology (X.W.v.d.T., H.H., K.F.), Pediatric Clinical Epidemiology (J.H.v.d.L., K.F.), and Pediatric Neurology (L.W.-S., B.T.P.T.), Emma Children’s Hospital, and the Departments of Radiology (A.J.N., C.B.L.M.M., M.A.A.v.W.) and Neurology (P.J.N.), Academic Medical Center, Amsterdam, The Netherlands
| | - Johanna H. van der Lee
- From the Departments of Pediatric Hematology (X.W.v.d.T., H.H., K.F.), Pediatric Clinical Epidemiology (J.H.v.d.L., K.F.), and Pediatric Neurology (L.W.-S., B.T.P.T.), Emma Children’s Hospital, and the Departments of Radiology (A.J.N., C.B.L.M.M., M.A.A.v.W.) and Neurology (P.J.N.), Academic Medical Center, Amsterdam, The Netherlands
| | - Laetitia Wagener-Schimmel
- From the Departments of Pediatric Hematology (X.W.v.d.T., H.H., K.F.), Pediatric Clinical Epidemiology (J.H.v.d.L., K.F.), and Pediatric Neurology (L.W.-S., B.T.P.T.), Emma Children’s Hospital, and the Departments of Radiology (A.J.N., C.B.L.M.M., M.A.A.v.W.) and Neurology (P.J.N.), Academic Medical Center, Amsterdam, The Netherlands
| | - Marianne A. A. van Walderveen
- From the Departments of Pediatric Hematology (X.W.v.d.T., H.H., K.F.), Pediatric Clinical Epidemiology (J.H.v.d.L., K.F.), and Pediatric Neurology (L.W.-S., B.T.P.T.), Emma Children’s Hospital, and the Departments of Radiology (A.J.N., C.B.L.M.M., M.A.A.v.W.) and Neurology (P.J.N.), Academic Medical Center, Amsterdam, The Netherlands
| | - Bwee Tien Poll The
- From the Departments of Pediatric Hematology (X.W.v.d.T., H.H., K.F.), Pediatric Clinical Epidemiology (J.H.v.d.L., K.F.), and Pediatric Neurology (L.W.-S., B.T.P.T.), Emma Children’s Hospital, and the Departments of Radiology (A.J.N., C.B.L.M.M., M.A.A.v.W.) and Neurology (P.J.N.), Academic Medical Center, Amsterdam, The Netherlands
| | - Paul J. Nederkoorn
- From the Departments of Pediatric Hematology (X.W.v.d.T., H.H., K.F.), Pediatric Clinical Epidemiology (J.H.v.d.L., K.F.), and Pediatric Neurology (L.W.-S., B.T.P.T.), Emma Children’s Hospital, and the Departments of Radiology (A.J.N., C.B.L.M.M., M.A.A.v.W.) and Neurology (P.J.N.), Academic Medical Center, Amsterdam, The Netherlands
| | - Harriët Heijboer
- From the Departments of Pediatric Hematology (X.W.v.d.T., H.H., K.F.), Pediatric Clinical Epidemiology (J.H.v.d.L., K.F.), and Pediatric Neurology (L.W.-S., B.T.P.T.), Emma Children’s Hospital, and the Departments of Radiology (A.J.N., C.B.L.M.M., M.A.A.v.W.) and Neurology (P.J.N.), Academic Medical Center, Amsterdam, The Netherlands
| | - Karin Fijnvandraat
- From the Departments of Pediatric Hematology (X.W.v.d.T., H.H., K.F.), Pediatric Clinical Epidemiology (J.H.v.d.L., K.F.), and Pediatric Neurology (L.W.-S., B.T.P.T.), Emma Children’s Hospital, and the Departments of Radiology (A.J.N., C.B.L.M.M., M.A.A.v.W.) and Neurology (P.J.N.), Academic Medical Center, Amsterdam, The Netherlands
| |
Collapse
|
50
|
van Walderveen MAA, van Schijndel RA, Pouwels PJW, Polman CH, Barkhof F. Multislice T1 relaxation time measurements in the brain using IR-EPI: Reproducibility, normal values, and histogram analysis in patients with multiple sclerosis. J Magn Reson Imaging 2003; 18:656-64. [PMID: 14635150 DOI: 10.1002/jmri.10417] [Citation(s) in RCA: 35] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/09/2022] Open
Abstract
PURPOSE To perform T(1) measurements using inversion recovery (IR) echoplanar imaging (EPI) to evaluate reproducibility, normal values, and T(1) histogram analysis as a measure of disease progression in multiple sclerosis (MS) patients. MATERIALS AND METHODS Multislice IR-EPI was performed in 10 controls and 36 MS patients. Region-of-interest (ROI) and T(1) histogram analysis were performed on T(1) maps and compared to hypointense T(1) lesions and brain atrophy in MS patients. RESULTS Coefficient of variation (COV) varied from 1.6% to 4.9%. Callosal normal (appearing) white matter (N(A)WM) showed the lowest and cortical gray matter the highest T(1) values. T(1) histogram analysis in controls showed a sharp WM peak centered on a T(1) value of 729 msec (range = 679-765) with extension into a shoulder of higher T(1) values. In MS patients, a shift toward higher T(1) values (mean = 788 msec, range = 700-957) with a lower relative peak amplitude was present, predominantly resulting from T(1) prolongation in NAWM. T(1) histogram parameters strongly related to hypointense T(1) lesion volume and brain atrophy in MS patients. CONCLUSIONS IR-EPI provides a reproducible method to obtain T(1) values in the brain. Regional variation in T(1) values is present in N(A)WM of volunteers and MS patients. Since T(1) histogram parameters reflect changes in NAWM and correlate with conventional measures of disease burden in MS patients, T(1) histogram analysis may provide a global measure of disease progression in MS.
Collapse
|