1
|
Zhang K, Liu L, Li T, Wang R, Bu K, Zhao P, Liu X. Collateral Circulation and Rabep2 Polymorphisms in Large Artery Occlusion: Impacts on Short- and Long-Term Prognosis. J Am Heart Assoc 2025; 14:e040032. [PMID: 40207533 DOI: 10.1161/jaha.124.040032] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2024] [Accepted: 03/10/2025] [Indexed: 04/11/2025]
Abstract
BACKGROUND Intracranial anterior circulation large artery occlusion (AC-LAO) is a predominant cause of ischemic stroke. Although collateral circulation plays a critical role in stroke outcomes, the genetic and environmental factors affecting collateral development are not fully understood. This study aimed to elucidate the associations between Rabep2 gene polymorphisms, collateral circulation, and both short- and long-term prognoses in patients with anterior circulation large artery occlusion. METHODS AND RESULTS We recruited 449 patients with anterior circulation large artery occlusion with cerebral infarction. Collateral circulation was assessed using single-phase computed tomography angiography, and stroke outcomes were evaluated at 1 month and 1 year using the modified Rankin Scale. A subset of 180 patients underwent genetic analysis for Rabep2 polymorphisms. Multivariable logistic regression was employed to identify predictors of short-term and long-term outcomes. Enhanced collateral circulation (P<0.001), lower high-density lipoprotein levels (P=0.019), and the absence of complications (P<0.001) were significantly correlated with favorable short-term outcomes. In the long term, age (P=0.039) and diabetes (P=0.006) were independent predictors of poor prognosis, whereas complications demonstrated a protective effect (P=0.016). The rs11645302 polymorphism of Rabep2 was linked to poorer collateral circulation among patients with the CC genotype (odds ratio [OR], 0.498 [95% CI, 0.270-0.918], P=0.025). CONCLUSIONS Collateral circulation, high-density lipoprotein levels, Rabep2 gene polymorphisms, age, and diabetes are significant predictors of outcomes in patients with anterior circulation large artery occlusion. These findings underscore the potential to integrate genetic and vascular factors into personalized risk stratification and therapeutic strategies for ischemic stroke. REGISTRATION URL: https://www.ClinicalTrials.gov; Unique Identifier: NCT04091412.
Collapse
Affiliation(s)
- Kun Zhang
- Department of Neurology The First Hospital of Hebei Medical University Shijiazhuang China
| | - Luji Liu
- Department of Neurology The Second Hospital of Hebei Medical University Shijiazhuang China
| | - Tong Li
- Department of Neurology The First Hospital of Hebei Medical University Shijiazhuang China
| | - Rui Wang
- Department of Neurology The First Hospital of Hebei Medical University Shijiazhuang China
| | - Kailin Bu
- Department of Neurology The First Hospital of Hebei Medical University Shijiazhuang China
| | - Pandi Zhao
- Department of Neurology The First Hospital of Hebei Medical University Shijiazhuang China
| | - Xiaoyun Liu
- Department of Neurology The First Hospital of Hebei Medical University Shijiazhuang China
| |
Collapse
|
2
|
Mei J, Salim HA, Lakhani DA, Balar A, Vagal V, Koneru M, Wolman D, Xu R, Urrutia V, Marsh EB, Pulli B, Hoseinyazdi M, Luna L, Deng F, Hyson NZ, Shahriari M, Dmytriw AA, Guenego A, Albers GW, Lu H, Nael K, Hillis AE, Llinas R, Wintermark M, Faizy TD, Heit JJ, Yedavalli V. Prolonged Venous Transit as a Superior Predictor of Functional Outcomes in Successfully Reperfused Large Vessel Occlusions: Comparative Analysis With Cerebral Blood Volume Index and Hypoperfusion Intensity Ratio. J Am Heart Assoc 2025; 14:e039924. [PMID: 40194971 DOI: 10.1161/jaha.124.039924] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/06/2024] [Accepted: 02/19/2025] [Indexed: 04/09/2025]
Abstract
BACKGROUND Collateral status plays a crucial role in outcomes after acute ischemic stroke due to large vessel occlusion. Tissue-level collaterals and venous outflow are key components following mechanical thrombectomy. This study evaluates the predictive performance of prolonged venous transit (PVT), cerebral blood volume index, and hypoperfusion intensity ratio in determining 90-day functional outcomes. METHODS AND RESULTS We retrospectively analyzed patients with acute ischemic stroke due to large vessel occlusion with successful mechanical thrombectomy (modified Treatment in Cerebral Infarction score 2b, 2c, or 3). PVT+ was defined as Tmax ≥10 seconds in the superior sagittal sinus or torcula. Favorable hypoperfusion intensity ratio was <0.4, and cerebral blood volume index was ≥0.8. We assessed their predictive value using logistic regression and receiver operating characteristic analysis. Among 119 patients (median age: 71 years, 59.7% female), 37 (30.3%) were PVT+. Favorable 90-day modified Rankin Scale score (≤2) was achieved in 53.8%. PVT- had a sensitivity of 84.4%, outperforming cerebral blood volume index (75.0%) and hypoperfusion intensity ratio (54.7%). Combining PVT with CBV index or hypoperfusion intensity ratio improved predictive accuracy (area under the curve: 0.716-0.727; all P<0.05). CONCLUSIONS PVT is a superior predictor of 90-day functional outcomes compared with cerebral blood volume index and hypoperfusion intensity ratio, emphasizing the role of venous outflow in collateral assessment and stroke prognosis.
Collapse
Affiliation(s)
- Janet Mei
- Department of Radiology, Division of Neuroradiology Johns Hopkins Medical Center Baltimore MD USA
| | - Hamza Adel Salim
- Department of Radiology, Division of Neuroradiology Johns Hopkins Medical Center Baltimore MD USA
- Department of Neuroradiology MD Anderson Medical Center Houston TX USA
| | - Dhairya A Lakhani
- Department of Radiology, Division of Neuroradiology Johns Hopkins Medical Center Baltimore MD USA
- Department of Neuroradiology Rockefeller Neuroscience Institute, West Virginia University Morgantown WV USA
| | - Aneri Balar
- Department of Radiology, Division of Neuroradiology Johns Hopkins Medical Center Baltimore MD USA
- Department of Neuroradiology Rockefeller Neuroscience Institute, West Virginia University Morgantown WV USA
| | - Vaibhav Vagal
- Renaissance School of Medicine at Stony Brook University Stony Brook NY USA
| | - Manisha Koneru
- Department of Radiology, Division of Neuroradiology Johns Hopkins Medical Center Baltimore MD USA
| | - Dylan Wolman
- Department of Radiology Brown University Providence RI USA
| | - Risheng Xu
- Department of Neurosurgery, Division of Neuroradiology Johns Hopkins Medical Center Baltimore MD USA
| | - Victor Urrutia
- Department of Neurology, Division of Neuroradiology Johns Hopkins Medical Center Baltimore MD USA
| | - Elisabeth Breese Marsh
- Department of Neurology, Division of Neuroradiology Johns Hopkins Medical Center Baltimore MD USA
| | - Benjamin Pulli
- Department of Interventional Neuroradiology Stanford Medical Center Palo Alto CA USA
| | - Meisam Hoseinyazdi
- Department of Radiology, Division of Neuroradiology Johns Hopkins Medical Center Baltimore MD USA
| | - Licia Luna
- Department of Radiology, Division of Neuroradiology Johns Hopkins Medical Center Baltimore MD USA
| | - Francis Deng
- Department of Radiology, Division of Neuroradiology Johns Hopkins Medical Center Baltimore MD USA
| | - Nathan Z Hyson
- Department of Radiology, Division of Neuroradiology Johns Hopkins Medical Center Baltimore MD USA
| | - Mona Shahriari
- Department of Radiology, Division of Neuroradiology Johns Hopkins Medical Center Baltimore MD USA
| | - Adam A Dmytriw
- Neuroendovascular Program Massachusetts General Hospital & Brigham and Women's Hospital, Harvard Medical School Boston MA USA
- Department of Neuroradiology Oxford University Hospitals NHS Foundation Trust, Nuffield Department of Clinical Neurosciences and Surgical Sciences, University of Oxford United Kingdom
| | - Adrien Guenego
- Department of Diagnostic and Interventional Neuroradiology Erasme University Hospital Brussels Belgium
| | - Gregory W Albers
- Department of Interventional Neuroradiology Stanford Medical Center Palo Alto CA USA
| | - Hanzhang Lu
- Department of Radiology, Division of Neuroradiology Johns Hopkins Medical Center Baltimore MD USA
| | - Kambiz Nael
- Department of Radiology & Biomedical Imaging University of California San Francisco CA USA
| | - Argye E Hillis
- Department of Neurology, Division of Neuroradiology Johns Hopkins Medical Center Baltimore MD USA
| | - Rafael Llinas
- Department of Neurology, Division of Neuroradiology Johns Hopkins Medical Center Baltimore MD USA
| | - Max Wintermark
- Department of Neuroradiology MD Anderson Medical Center Houston TX USA
| | - Tobias D Faizy
- Department of Radiology, Neuroendovascular Program University Medical Center Münster Münster Germany
| | - Jeremy J Heit
- Department of Interventional Neuroradiology Stanford Medical Center Palo Alto CA USA
| | - Vivek Yedavalli
- Department of Radiology, Division of Neuroradiology Johns Hopkins Medical Center Baltimore MD USA
| |
Collapse
|
3
|
Karamchandani RR, Yang H, Teli KJ, Strong D, Rhoten JB, Clemente JD, Defilipp G, Patel NM, Bernard JD, Stetler WR, Parish JM, Hines AU, Patel ST, Patel HN, Guzik AK, Wolfe SQ, Helms AM, Macko L, Williams L, Retelski J, Asimos AW. Long-term functional outcomes for elderly patients treated with endovascular thrombectomy. Interv Neuroradiol 2025:15910199251332407. [PMID: 40232303 PMCID: PMC11999982 DOI: 10.1177/15910199251332407] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2025] [Accepted: 03/17/2025] [Indexed: 04/16/2025] Open
Abstract
BackgroundFunctional outcomes in elderly thrombectomy patients have been commonly reported up to 90 days, though long-term neurological status is not as well characterized. We studied 1-year outcomes in patients ≥ 80 years old and identified predictors of functional independence in elderly patients.MethodsRetrospective analysis of anterior circulation thrombectomy patients presenting from November 2016-August 2023 to a large health system. The primary outcome was 1-year modified Rankin Scale score (mRS) 0-2. Outcomes were compared between patients ≥ 80 and < 80 years old. Logistic regression was performed to identify predictors of 1-year functional independence in the elderly.Results957 patients were included, 220 (23%) of whom were ≥ 80 years old. A significantly lower proportion of patients ≥ 80 years old, compared to < 80 years, were functionally independent at 1-year (18.6% versus 45.9%, p < 0.001). In the elderly, predictors of functional independence included age (odds ratio (OR) 0.83, 95% confidence interval (CI) 0.74-0.93, p = 0.002), premorbid mRS score (OR 0.51, 95% CI 0.29-0.88, p = 0.016), presenting National Institutes of Health Stroke Scale score (OR 0.93, 95% CI 0.87-0.995, p = 0.035), cerebral blood volume index (OR 50.7, 95% CI 2.8-935, p = 0.008), and first-pass recanalization (OR 2.77, 95% CI 1.20-6.38, p = 0.017).ConclusionElderly thrombectomy patients had lower rates of functional independence at 1-year, though these are similar to previously reported rates at 90-days in octogenarians and nonagenarians. Factors associated with good outcomes in the elderly, including collateral status and single-pass revascularization, may be prognostically informative beyond the 90-day time window.
Collapse
Affiliation(s)
| | - Hongmei Yang
- Information and Analytics Services, Atrium Health, Charlotte, NC, USA
| | - Katelynn J Teli
- Department of Neurology, Neurosciences Institute, Atrium Health, Charlotte, NC, USA
| | - Dale Strong
- Information and Analytics Services, Atrium Health, Charlotte, NC, USA
| | - Jeremy B Rhoten
- Department of Neurology, Neurosciences Institute, Atrium Health, Charlotte, NC, USA
| | - Jonathan D Clemente
- Charlotte Radiology, Neurosciences Institute, Atrium Health, Charlotte, NC, USA
| | - Gary Defilipp
- Charlotte Radiology, Neurosciences Institute, Atrium Health, Charlotte, NC, USA
| | - Nikhil M Patel
- Department of Internal Medicine, Pulmonary and Critical Care, Neurosciences Institute, Atrium Health, Charlotte, NC, USA
| | - Joe D Bernard
- Carolina Neurosurgery and Spine Associates, Neurosciences Institute, Atrium Health, Charlotte, NC, USA
| | - William R Stetler
- Carolina Neurosurgery and Spine Associates, Neurosciences Institute, Atrium Health, Charlotte, NC, USA
| | - Jonathan M Parish
- Carolina Neurosurgery and Spine Associates, Neurosciences Institute, Atrium Health, Charlotte, NC, USA
| | - Andrew U Hines
- Charlotte Radiology, Neurosciences Institute, Atrium Health, Charlotte, NC, USA
| | - Shraddha T Patel
- Department of Neurology, Neurosciences Institute, Atrium Health, Charlotte, NC, USA
| | - Harsh N Patel
- Department of Neurology, Neurosciences Institute, Atrium Health, Charlotte, NC, USA
| | - Amy K Guzik
- Department of Neurology, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Stacey Q Wolfe
- Department of Neurological Surgery, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Anna Maria Helms
- Department of Neurology, Neurosciences Institute, Atrium Health, Charlotte, NC, USA
| | - Lauren Macko
- Department of Neurology, Neurosciences Institute, Atrium Health, Charlotte, NC, USA
| | - Laura Williams
- Department of Neurology, Neurosciences Institute, Atrium Health, Charlotte, NC, USA
| | - Julia Retelski
- Department of Neurology, Neurosciences Institute, Atrium Health, Charlotte, NC, USA
| | - Andrew W Asimos
- Department of Emergency Medicine, Neurosciences Institute, Atrium Health, Charlotte, NC, USA
| |
Collapse
|
4
|
Hamon G, Legrand L, Hmeydia G, Turc G, Hassen WB, Charron S, Debacker C, Naggara O, Thirion B, Chen B, Lapergue B, Oppenheim C, Benzakoun J. Multicenter validation of synthetic FLAIR as a substitute for FLAIR sequence in acute ischemic stroke. Eur Stroke J 2025; 10:161-171. [PMID: 39096195 PMCID: PMC11569530 DOI: 10.1177/23969873241263418] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2024] [Accepted: 06/05/2024] [Indexed: 08/05/2024] Open
Abstract
PURPOSE To evaluate performance of synthetic and real FLAIR for identifying early stroke in a multicenter cohort. METHODS This retrospective study was conducted using DWI and FLAIR extracted from the Endovascular Treatment in Ischemic Stroke image registry (2017-2021). The database was partitioned into subsets according to MRI field strength and manufacturer, and randomly divided into training set (70%) used for model fine-tuning, validation set (15%), and test set (15%). In test set, five readers, blinded to FLAIR sequence type, assessed DWI-FLAIR mismatch using real and synthetic FLAIR. Interobserver agreement for DWI-FLAIR rating and concordance between synthetic and real FLAIR were evaluated with kappa statistics. Sensitivity and specificity for identification of ⩽4.5 h AIS were compared in patients with known onset-to-MRI delay using McNemar's test. RESULTS 1454 complete MRI sets (1172 patients, median (IQR) age: 73 years (62-82); 762 women) acquired on 125 MRI units were analyzed. In test set (207 MRI), interobserver reproducibility for DWI-FLAIR mismatch labeling was substantial for real and synthetic FLAIR (Fleiss κ = 0.79 (95%CI: 0.73-0.84) and 0.77 (95%CI: 0.71-0.82), respectively). After consensus, concordance between real and synthetic FLAIR was excellent (κ = 0.85 (95%CI: 0.78-0.92)). In 141 MRI sets with known onset-to-MRI delay, diagnostic performances for ⩽4.5 h AIS identification did not differ between real and synthetic FLAIR (sensitivity: 60/71 (85%) vs 59/71 (83%), p = .56; specificity: 65/70 (93%) vs 65/70 (93%), p > 0.99). CONCLUSION A deep-learning-based FLAIR fine-tuned on multicenter data can provide comparable performances to real FLAIR for early AIS identification. This approach may help reducing MR protocol duration and motion artifacts.
Collapse
Affiliation(s)
- Guillaume Hamon
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris, INSERM U1266, Paris, France
| | - Laurence Legrand
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris, INSERM U1266, Paris, France
- Department of Neuroradiology, GHU Paris Psychiatrie et Neurosciences, Paris, France
- Université Paris-Cité, FHU Neurovasc, Paris, France
| | - Ghazi Hmeydia
- Department of Neuroradiology, GHU Paris Psychiatrie et Neurosciences, Paris, France
| | - Guillaume Turc
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris, INSERM U1266, Paris, France
- Université Paris-Cité, FHU Neurovasc, Paris, France
- Department of Neurology, GHU Paris Psychiatrie et Neurosciences, Paris, France
| | - Wagih Ben Hassen
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris, INSERM U1266, Paris, France
- Department of Neuroradiology, GHU Paris Psychiatrie et Neurosciences, Paris, France
- Université Paris-Cité, FHU Neurovasc, Paris, France
| | - Sylvain Charron
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris, INSERM U1266, Paris, France
- Université Paris-Cité, FHU Neurovasc, Paris, France
| | - Clement Debacker
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris, INSERM U1266, Paris, France
- Department of Neuroradiology, GHU Paris Psychiatrie et Neurosciences, Paris, France
- Université Paris-Cité, FHU Neurovasc, Paris, France
| | - Olivier Naggara
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris, INSERM U1266, Paris, France
- Department of Neuroradiology, GHU Paris Psychiatrie et Neurosciences, Paris, France
- Université Paris-Cité, FHU Neurovasc, Paris, France
| | | | - Bailiang Chen
- CIC, Innovation Technologique, Université de Lorraine, INSERM 1433, Nancy, France
| | - Bertrand Lapergue
- Department of Neurology, Foch Hospital, Versailles Saint-Quentin-en-Yvelines University, Suresnes, France
| | - Catherine Oppenheim
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris, INSERM U1266, Paris, France
- Department of Neuroradiology, GHU Paris Psychiatrie et Neurosciences, Paris, France
- Université Paris-Cité, FHU Neurovasc, Paris, France
| | - Joseph Benzakoun
- Université Paris Cité, Institute of Psychiatry and Neuroscience of Paris, INSERM U1266, Paris, France
- Department of Neuroradiology, GHU Paris Psychiatrie et Neurosciences, Paris, France
- Université Paris-Cité, FHU Neurovasc, Paris, France
| |
Collapse
|
5
|
Karamchandani RR, Yang H, Rhoten JB, Strong D, Satyanarayana S, Asimos AW. Validation of the Charlotte large artery occlusion endovascular therapy outcome score using Viz.ai-derived cerebral blood volume index. Interv Neuroradiol 2025; 31:80-87. [PMID: 36617962 PMCID: PMC11833827 DOI: 10.1177/15910199221149563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Accepted: 12/19/2022] [Indexed: 01/10/2023] Open
Abstract
BACKGROUND The Charlotte large artery occlusion endovascular therapy outcome score (CLEOS) predicts poor 90-day outcomes for patients presenting with internal carotid artery (ICA) or middle cerebral artery (MCA) occlusions. It incorporates RAPID-derived cerebral blood volume (CBV) index, a marker of collateral circulation. We validated the predictive ability of CLEOS with Viz.ai-processed computed tomography perfusion (CTP) imaging. METHODS The original CLEOS derivation cohort was compared to a validation cohort consisting of all ICA and MCA thrombectomy patients treated at a large health system with Viz.ai-processed CTP. Rates of poor 90-day outcome (mRS 4-6) were compared in the derivation and validation cohorts, stratified by CLEOS. CLEOS was compared to previously described prediction models using area under the curve (AUC) analyses. Calibration of CLEOS was performed to compare predicted risk of poor outcomes with observed outcomes. RESULTS One-hundred eighty-one patients (mean age 66.4 years, median NIHSS 16) in the validation cohort were included. The validation cohort had higher median CTP core volumes (24 vs 8 ml) and smaller median mismatch volumes (81 vs 101 ml) than the derivation cohort. CLEOS-predicted poor outcomes strongly correlated with observed outcomes (R2 = 0.82). AUC for CLEOS in the validation cohort (0.72, 95% CI 0.64-0.80) was similar to the derivation cohort (AUC 0.75, 95% CI 0.70-0.80) and was comparable or superior to previously described prognostic models. CONCLUSIONS CLEOS can predict risk of poor 90-day outcomes in ICA and MCA thrombectomy patients evaluated with pre-intervention, Viz.ai-processed CTP.
Collapse
Affiliation(s)
| | - Hongmei Yang
- Information and Analytics Services, Atrium Health, Charlotte, NC, USA
| | - Jeremy B Rhoten
- Neurology, Neurosciences Institute, Atrium Health, Charlotte, NC, USA
| | - Dale Strong
- Information and Analytics Services, Atrium Health, Charlotte, NC, USA
| | | | - Andrew W Asimos
- Emergency Medicine, Neurosciences Institute, Atrium Health, Charlotte, NC, USA
| |
Collapse
|
6
|
Yedavalli VS, Lakhani DA, Koneru M, Balar AB, Greene C, Hoseinyazdi M, Nabi M, Lu H, Xu R, Luna L, Caplan J, Dmytriw AA, Guenego A, Heit JJ, Albers GW, Wintermark M, Urrutia V, Huang J, Nael K, Leigh R, Marsh EB, Hillis AE, Llinas RH. Simplifying venous outflow: Prolonged venous transit as a novel qualitative marker correlating with acute stroke outcomes. Neuroradiol J 2025; 38:59-63. [PMID: 39067016 PMCID: PMC11571568 DOI: 10.1177/19714009241269475] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/30/2024] Open
Abstract
BACKGROUND Prolonged venous transit (PVT), defined as presence of time-to-maximum ≥ 10 s within the superior sagittal sinus (SSS) and/or torcula, is a novel, qualitatively assessed computed tomography perfusion surrogate parameter of venous outflow with potential utility in pretreatment acute ischemic stroke imaging for neuroprognostication. We aim to characterize the correlation between PVT and neurological functional outcomes in thrombectomy-treated patients. METHODS A prospectively-collected database of large vessel occlusion acute ischemic stroke patients treated with thrombectomy was retrospectively analyzed. Spearman's rank correlation coefficient and point-biserial correlations were performed between PVT status (i.e., no region, either SSS or torcula, or both), 90-day modified Rankin score (mRS), mortality (mRS 6), and poor functional outcome (mRS 4-6 vs 0-3). RESULTS Of 128 patients, correlation between PVT and 90-day mRS (ρ = 0.35, p < 0.0001), mortality (r = 0.26, p = 0.002), and poor functional outcome (r = 0.27, p = 0.002) were significant. CONCLUSION There is a modest, significant correlation between PVT and severity of neurological functional outcome. Consequently, PVT is an easily-ascertained, qualitative metric that may be useful as an adjunct for anticipating a patient's clinical course. Future analyses will determine the significance of incorporating PVT in clinical decision-making.
Collapse
Affiliation(s)
- Vivek S Yedavalli
- Department of Radiology and Radiological Sciences, Johns HopkinsSchool of Medicine, USA
| | - Dhairya A Lakhani
- Dhairya A Lakhani, Department of Radiology and Radiological Sciences, Johns Hopkins School of Medicine Phipps B112-D Baltimore, MD 21287, USA.
| | | | - Aneri B Balar
- Department of Radiology and Radiological Sciences, Johns HopkinsSchool of Medicine, USA
| | - Cynthia Greene
- Department of Radiology and Radiological Sciences, Johns HopkinsSchool of Medicine, USA
| | - Meisam Hoseinyazdi
- Department of Radiology and Radiological Sciences, Johns HopkinsSchool of Medicine, USA
| | - Mehreen Nabi
- Department of Radiology and Radiological Sciences, Johns HopkinsSchool of Medicine, USA
| | - Hanzhang Lu
- Department of Radiology and Radiological Sciences, Johns HopkinsSchool of Medicine, USA
| | - Risheng Xu
- Department of Neurosurgery, Johns HopkinsSchool of Medicine, USA
| | - Licia Luna
- Department of Radiology and Radiological Sciences, Johns HopkinsSchool of Medicine, USA
| | - Justin Caplan
- Department of Neurosurgery, Johns HopkinsSchool of Medicine, USA
| | - Adam A Dmytriw
- Department of Neuroradiology, Massachusetts General Hospital & Harvard Medical School, USA
| | - Adrien Guenego
- Department of Radiology, Université Libre De Bruxelles Hospital Erasme, USA
| | - Jeremy J Heit
- Department of Radiology, Stanford UniversitySchool of Medicine, USA
| | - Gregory W Albers
- Department of Neurology, Stanford UniversitySchool of Medicine, USA
| | - Max Wintermark
- Department of Radiology, University of Texas MD Anderson Center, USA
| | - Victor Urrutia
- Department of Neurology, Johns HopkinsSchool of Medicine, USA
| | - Judy Huang
- Department of Neurosurgery, Johns HopkinsSchool of Medicine, USA
| | - Kambiz Nael
- Department of Radiology, David Geffen School of Medicine at University of California - Los Angeles, USA
| | - Richard Leigh
- Department of Neurology, Johns HopkinsSchool of Medicine, USA
| | | | - Argye E Hillis
- Department of Neurology, Johns HopkinsSchool of Medicine, USA
| | - Rafael H Llinas
- Department of Neurology, Johns HopkinsSchool of Medicine, USA
| |
Collapse
|
7
|
Koneru M, Lakhani DA, Xu R, Salim HA, Urrutia VC, Marsh EB, Dmytriw AA, Guenego A, Llinas RH, Hillis AE, Nael K, Wintermark M, Albers GW, Heit JJ, Faizy TD, Yedavalli V. Cerebral blood volume index in the era of thrombectomy-treated large and medium vessel ischemic strokes. J Neurointerv Surg 2025:jnis-2024-022609. [PMID: 39824593 DOI: 10.1136/jnis-2024-022609] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/10/2024] [Accepted: 12/05/2024] [Indexed: 01/20/2025]
Abstract
The cerebral blood volume index (CBV index) is a perfusion-based marker of collateral status. Several real-world data analyses from observational stroke cohorts have established relationships between this parameter and a range of favorable and unfavorable stroke outcomes. In this review, an overview is provided of the CBV index, within the context of thrombectomy-treated large vessel and medium vessel occlusion ischemic strokes. The current literature is summarized describing the CBV index and its association with a variety of efficacy, safety, and clinical outcome measures during the thrombectomy course and post-treatment recovery in both large vessel occlusion and medium vessel occlusion strokes. The range of CBV index value thresholds that have been identified and are able to differentiate between favorable and unfavorable outcomes across different clinical scenarios are summarized. This review underscores the need for additional analyses to further explore the CBV index in other clinical outcome contexts and for future prospective studies to validate the CBV index in thrombectomy-treated large vessel and medium vessel occlusion strokes, especially with increasing use of thrombectomy for treating medium vessel occlusions.
Collapse
Affiliation(s)
| | | | - Risheng Xu
- Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | | | | | | | - Adam A Dmytriw
- Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Adrien Guenego
- Interventional Neuroradiology, Universite Libre De Bruxelles, Brussels, Belgium
| | | | - Argye E Hillis
- Johns Hopkins School of Medicine, Baltimore, Maryland, USA
| | - Kambiz Nael
- University of California San Francisco, San Francisco, California, USA
| | - Max Wintermark
- MD Anderson Children's Cancer Hospital, Houston, Texas, USA
| | - Gregory W Albers
- Stanford University School of Medicine, Stanford, California, USA
| | - Jeremy J Heit
- Stanford University School of Medicine, Stanford, California, USA
| | | | | |
Collapse
|
8
|
Lakhani DA, Balar AB, Vagal V, Salim H, Mei J, Koneru M, Wen S, Berksu Ozkara B, Lu H, Wang R, Xu R, Nabi M, Mazumdar I, Cho A, Chen K, Sepehri S, Deng F, Hyson N, Urrutia V, Luna LP, Sriwastwa A, Hillis AE, Heit JJ, Albers GW, Rai AT, Dmytriw AA, Faizy TD, Wintermark M, Nael K, Yedavalli VS. CT perfusion derived relative cerebral blood volume < 42 % is negatively associated with poor functional outcomes at discharge in anterior circulation large vessel occlusion stroke. J Clin Neurosci 2024; 130:110907. [PMID: 39536379 PMCID: PMC11619084 DOI: 10.1016/j.jocn.2024.110907] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/01/2024] [Revised: 10/27/2024] [Accepted: 10/31/2024] [Indexed: 11/16/2024]
Abstract
BACKGROUND AND AIM Recent studies have shown that the CT Perfusion (CTP) parameter of rCBV < 42 % lesion volume can predict 90-day functional outcomes in stroke patients. However, its correlation with discharge outcomes, including functional dependence, has not been investigated. Our study aims to evaluate the relationship between rCBV < 42 % and poor functional outcomes at discharge, defined as a modified Rankin score (mRS) of 3 or higher. MATERIALS AND METHODS This retrospective study analyzed patients with confirmed occlusion on CT angiography, who also received CT perfusion between 9/1/2017 and 10/01/2023. Statistical tests (Student's T, Mann-Whitney U, and Chi-Square) were used to assess differences. Univariable and multivariable logistic regression analyses were performed to evaluate the associations of rCBV < 42 % with discharge mRS. A p-value ≤ 0.05 was considered significant. RESULTS A total of 268 patients [median age: 68 years (IQR: 59-77), 56.3 % female] met the inclusion criteria. Among them, 85 patients (31.7 %) received intravenous thrombolysis (IVT), and 221 patients (82.5 %) underwent mechanical thrombectomy (MT). After adjusting for various variables, logistic regression analysis indicated that rCBV < 42 % lesion volume was associated with poor functional outcomes at discharge (aOR = 0.97, p < 0.05). T. CONCLUSION The rCBV < 42 % could be a valuable tool in prognosticating AIS-LVO patients.
Collapse
Affiliation(s)
- Dhairya A Lakhani
- Department of Neuroradiology, Rockefeller Neuroscience Institute, West Virginia University, Morgantown, WV, USA; The Russell H Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA.
| | - Aneri B Balar
- Department of Neuroradiology, Rockefeller Neuroscience Institute, West Virginia University, Morgantown, WV, USA
| | - Vaibhav Vagal
- Renaissance School of Medicine at Stony Brook University, Stony Brook, NY, USA
| | - Hamza Salim
- The Russell H Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA
| | - Janet Mei
- The Russell H Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA
| | - Manisha Koneru
- Cooper Medical School of Rowan University, Camden, NJ, USA
| | - Sijin Wen
- Department of Biostatistics, West Virginia University, Morgantown, WV, USA
| | | | - Hanzhang Lu
- The Russell H Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA
| | - Richard Wang
- The Russell H Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA
| | - Risheng Xu
- The Russell H Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA
| | - Mehreen Nabi
- The Russell H Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA
| | - Ishan Mazumdar
- The Russell H Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA
| | - Andrew Cho
- The Russell H Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA
| | - Kevin Chen
- The Russell H Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA
| | - Sadra Sepehri
- The Russell H Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA
| | - Francis Deng
- The Russell H Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA
| | - Nathan Hyson
- The Russell H Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA
| | - Victor Urrutia
- The Russell H Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA
| | - Licia P Luna
- The Russell H Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA
| | | | - Argye E Hillis
- Department of Neurology, Johns Hopkins University, Baltimore, MD, USA
| | - Jeremy J Heit
- Department of Radiology, Stanford University, Stanford, CA, USA
| | - Greg W Albers
- Department of Radiology, Stanford University, Stanford, CA, USA
| | - Ansaar T Rai
- Department of Neuroradiology, Rockefeller Neuroscience Institute, West Virginia University, Morgantown, WV, USA
| | - Adam A Dmytriw
- Department of Radiology, Harvard Medical School, Boston, MA, USA
| | - Tobias D Faizy
- Department of Radiology, Neuroendovascular Division, University Medical Center Münster, Germany
| | - Max Wintermark
- Department of Neuroradiology, MD Anderson Medical Center, Houston, TX, USA
| | - Kambiz Nael
- Division of Neuroradiology, University of California San Francisco, CA, USA
| | - Vivek S Yedavalli
- The Russell H Morgan Department of Radiology and Radiological Science, Johns Hopkins University, Baltimore, MD, USA
| |
Collapse
|
9
|
Bani-Sadr A, Mechtouff L, Hermier M, Eker OF, Rascle L, de Bourguignon C, Boutelier T, Martin A, Tommasino E, Ong E, Fontaine J, Cho TH, Derex L, Nighoghossian N, Berthezene Y. Cerebral collaterals are associated with pre-treatment brain-blood barrier permeability in acute ischemic stroke patients. Eur Radiol 2024; 34:8005-8012. [PMID: 38861162 DOI: 10.1007/s00330-024-10830-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 04/08/2024] [Accepted: 05/16/2024] [Indexed: 06/12/2024]
Abstract
INTRODUCTION To investigate the relationship between collaterals and blood-brain barrier (BBB) permeability on pre-treatment MRI in a cohort of acute ischemic stroke (AIS) patients treated with thrombectomy. METHODS We conducted a retrospective analysis of the HIBISCUS-STROKE cohort, a single-center observational study that enrolled patients treated with thrombectomy from 2016 to 2022. Dynamic-susceptibility MRIs were post-processed to generate K2 maps with arrival-time correction, which were co-registered with apparent diffusion coefficient (ADC) maps. The 90th percentile of K2 was extracted from the infarct core-defined by an ADC ≤ 620 × 10-6 mm2/s with manual adjustments-and expressed as a percentage change compared to the contralateral white matter. Collaterals were assessed using pre-thrombectomy digital subtraction arteriography with an ASITN/SIR score < 3 defining poor collaterals. RESULTS Out of 249 enrolled, 101 (40.6%) were included (median age: 72.0 years, 52.5% of males, median NIHSS score at admission: 15.0). Patients with poor collaterals (n = 44) had worse NIHSS scores (median: 16.0 vs 13.0, p = 0.04), larger infarct core volumes (median: 43.7 mL vs 9.5 mL, p < 0.0001), and higher increases in K2 (median: 346.3% vs 152.7%, p = 0.003). They were less likely to achieve successful recanalization (21/44 vs 51/57, p < 0.0001) and experienced more frequent hemorrhagic transformation (16/44 vs 9/57, p = 0.03). On multiple variable analysis, poor collaterals were associated with larger infarct cores (odds ratio (OR) = 1.12, 95% confidence interval (CI): [1.07, 1.17], p < 0.0001) and higher increases in K2 (OR = 6.63, 95% CI: [2.19, 20.08], p = 0.001). CONCLUSION Poor collaterals are associated with larger infarct cores and increased BBB permeability at admission MRI. CLINICAL RELEVANCE STATEMENT Poor collaterals are associated with a larger infarct core and increased BBB permeability at admission MRI of AIS patients treated with thrombectomy. These findings may have translational interests for extending thrombolytic treatment eligibility and developing neuroprotective strategies. KEY POINTS In AIS, collaterals and BBB disruption have been both linked to hemorrhagic transformation. Poor collaterals were associated with larger ischemic cores and increased BBB permeability on pre-treatment MRI. These findings could contribute to hemorrhagic transformation risk stratification, thereby refining clinical decision-making for reperfusion therapies.
Collapse
Affiliation(s)
- Alexandre Bani-Sadr
- Department of Neuroradiology, East Group Hospital, Hospices Civils de Lyon, Bron, France.
- CREATIS Laboratory, CNRS UMR 5220, INSERM U1294, Claude Bernard Lyon I University, Villeurbanne, France.
| | - Laura Mechtouff
- Stroke Department, East Group Hospital, Hospices Civils de Lyon, Bron, France
- CarMeN Laboratory, INSERM U1060/INRA U1397, Claude Bernard Lyon I University, Bron, France
| | - Marc Hermier
- Department of Neuroradiology, East Group Hospital, Hospices Civils de Lyon, Bron, France
| | - Omer F Eker
- Department of Neuroradiology, East Group Hospital, Hospices Civils de Lyon, Bron, France
- CREATIS Laboratory, CNRS UMR 5220, INSERM U1294, Claude Bernard Lyon I University, Villeurbanne, France
| | - Lucie Rascle
- Stroke Department, East Group Hospital, Hospices Civils de Lyon, Bron, France
| | | | | | - Anna Martin
- Department of Neuroradiology, East Group Hospital, Hospices Civils de Lyon, Bron, France
| | - Emanuele Tommasino
- Department of Neuroradiology, East Group Hospital, Hospices Civils de Lyon, Bron, France
| | - Elodie Ong
- Stroke Department, East Group Hospital, Hospices Civils de Lyon, Bron, France
| | - Julia Fontaine
- Stroke Department, East Group Hospital, Hospices Civils de Lyon, Bron, France
| | - Tae-Hee Cho
- Stroke Department, East Group Hospital, Hospices Civils de Lyon, Bron, France
- CarMeN Laboratory, INSERM U1060/INRA U1397, Claude Bernard Lyon I University, Bron, France
| | - Laurent Derex
- Stroke Department, East Group Hospital, Hospices Civils de Lyon, Bron, France
| | - Norbert Nighoghossian
- Stroke Department, East Group Hospital, Hospices Civils de Lyon, Bron, France
- CarMeN Laboratory, INSERM U1060/INRA U1397, Claude Bernard Lyon I University, Bron, France
| | - Yves Berthezene
- Department of Neuroradiology, East Group Hospital, Hospices Civils de Lyon, Bron, France
- CREATIS Laboratory, CNRS UMR 5220, INSERM U1294, Claude Bernard Lyon I University, Villeurbanne, France
| |
Collapse
|
10
|
Psychogios K, Theodorou A, Kargiotis O, Safouris A, Velonakis G, Palaiodimou L, Spiliopoulos S, Giannopoulos S, Magoufis G, Tsivgoulis G. Hypoperfusion index ratio and pretreatment with intravenous thrombolysis are independent predictors of good functional outcome in acute ischemic stroke patients with large vessel occlusion treated with acute reperfusion therapies. Neurol Sci 2024; 45:4881-4893. [PMID: 38761259 DOI: 10.1007/s10072-024-07558-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2023] [Accepted: 04/22/2024] [Indexed: 05/20/2024]
Abstract
INTRODUCTION We aimed to investigate the performance of several neuroimaging markers provided by perfusion imaging of Acute Ischemic Stroke (AIS) patients with large vessel occlusion (LVO) in order to predict clinical outcomes following reperfusion treatments. METHODS We prospectively evaluated consecutive AIS patients with LVO who were treated with reperfusion therapies, during a six-year period. In order to compare patients with good (mRS scores 0-2) and poor (mRS scores 3-6) functional outcomes, data regarding clinical characteristics, the Alberta Stroke Programme Early Computed Tomography Score (ASPECTS) based on unenhanced computed tomography (CT), CT angiography collateral status and perfusion parameters including ischemic core, hypoperfusion volume, mismatch volume between core and penumbra, Tmax > 10 s volume, CBV index and the Hypoperfusion Index Ratio (HIR) were assessed. RESULTS A total of 84 acute stroke patients with LVO who met all the inclusion criteria were enrolled. In multivariable logistic regression models increasing age (odds ratio [OR]: 0.93; 95%CI: 0.88-0.96, p = 0.001), lower admission National Institute of Health Stroke Scale (NIHSS)-score (OR: 0.88; 95%CI: 0.80-0.95, p = 0.004), pretreatment with intravenous thrombolysis (OR: 3.83; 95%CI: 1.29-12.49, p = 0.019) and HIR (OR:0.36; 95%CI: 0.10-0.95, p = 0.042) were independent predictors of good functional outcome at 3 months. The initial univariable associations between HIR and higher likelihood for symptomatic intracranial hemorrhage (sICH) and parenchymal hematoma type 2 (PH2) were attenuated in multivariable analyses failing to reach statistical significance. DISCUSSION Our pilot observational study of unselected AIS patients with LVO treated with reperfusion therapies demonstrated that pre-treatment low HIR in perfusion imaging and IVT were associated with better functional outcomes.
Collapse
Affiliation(s)
- Klearchos Psychogios
- Stroke Unit, Metropolitan Hospital, 18547, Piraeus, Greece
- Second Department of Neurology, "Attikon" University Hospital, School of Medicine, National and Kapodistrian University of Athens, Rimini 1, 12462, Chaidari, Athens, Greece
| | - Aikaterini Theodorou
- Second Department of Neurology, "Attikon" University Hospital, School of Medicine, National and Kapodistrian University of Athens, Rimini 1, 12462, Chaidari, Athens, Greece
| | | | - Apostolos Safouris
- Stroke Unit, Metropolitan Hospital, 18547, Piraeus, Greece
- Second Department of Neurology, "Attikon" University Hospital, School of Medicine, National and Kapodistrian University of Athens, Rimini 1, 12462, Chaidari, Athens, Greece
| | - Georgios Velonakis
- Second Department of Radiology, "Attikon" University Hospital, School of Medicine, National and Kapodistrian University of Athens, 12462, Athens, Greece
| | - Lina Palaiodimou
- Second Department of Neurology, "Attikon" University Hospital, School of Medicine, National and Kapodistrian University of Athens, Rimini 1, 12462, Chaidari, Athens, Greece
| | - Stavros Spiliopoulos
- Second Department of Radiology, Interventional Radiology Unit, "Attikon" University Hospital, School of Medicine, National and Kapodistrian University of Athens, 12462, Athens, Greece
| | - Sotirios Giannopoulos
- Second Department of Neurology, "Attikon" University Hospital, School of Medicine, National and Kapodistrian University of Athens, Rimini 1, 12462, Chaidari, Athens, Greece
| | - Georgios Magoufis
- Second Department of Radiology, Interventional Radiology Unit, "Attikon" University Hospital, School of Medicine, National and Kapodistrian University of Athens, 12462, Athens, Greece
- Neuroradiology Department, Metropolitan Hospital, 18547, Piraeus, Greece
| | - Georgios Tsivgoulis
- Second Department of Neurology, "Attikon" University Hospital, School of Medicine, National and Kapodistrian University of Athens, Rimini 1, 12462, Chaidari, Athens, Greece.
- Department of Neurology, University of Tennessee Health Science Center, Memphis, TN, 38163, USA.
| |
Collapse
|
11
|
Busto G, Morotti A, Casetta I, Barra A, Fiorenza A, Di Pasquale F, Maccaglia MG, Toffali M, Mancini S, Carlesi E, Palumbo V, Lombardo I, Padovani A, Fainardi E. Hypoperfusion intensity ratio correlates with collaterals and predicts outcome and infarct volume in acute ischemic stroke patients. Eur J Clin Invest 2024; 54:e14264. [PMID: 38858830 DOI: 10.1111/eci.14264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2024] [Revised: 05/16/2024] [Accepted: 05/29/2024] [Indexed: 06/12/2024]
Abstract
BACKGROUND Hypoperfusion Intensity Ratio (HIR) is associated with collaterals and outcome in acute ischemic stroke (AIS). We investigated whether a combined assessment of HIR and collaterals could provide an added value. METHODS Retrospective single-center study, including AIS patients with large vessel occlusion and endovascular treatment 0-24 h from onset. Predictors of FIV and outcome (90 days modified Rankin Scale 0-1) were investigated with linear and logistic regression respectively. Subjects were stratified in three groups: poor collaterals (grade 0-3) with poor HIR (≥.4), good collaterals (grade 4-5) with poor HIR/poor collaterals with good HIR (<.4) and good collaterals with good HIR. RESULTS We included 337 patients (median age 77, 53.1% males), of whom 100 (29.7%) had excellent outcome. One hundred and forty five patients with favourable collateral and HIR profiles had smaller infarct (median poor collaterals with poor HIR 41 mL, good collaterals with poor HIR/poor collaterals with good HIR 21 mL and good collaterals with good HIR 11 mL, p <.001) and higher rates of excellent outcome (poor collaterals with poor HIR 15.7%, good collaterals with poor HIR/poor collaterals with good HIR 26.2% and good collaterals with good HIR 39.3% p =.001). Logistic regression showed that patients with favourable collateral and HIR profiles had the highest odds of good outcome (OR: 3.83, 95% CI 1.62-9.08, p =.002). CONCLUSION Collaterals and HIR are independent predictors of final infarct lesion and outcome in stroke patients and their integration provides an added value. These findings might inform clinical practice and future trials.
Collapse
Affiliation(s)
- Giorgio Busto
- Neuroradiology Unit, Department of Radiology, Careggi University Hospital, Florence, Italy
| | - Andrea Morotti
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Ilaria Casetta
- Section of Neurology, Department of Biomedical and Specialty Surgical Sciences, University of Ferrara, Ferrara, Italy
| | - Angelo Barra
- Department of Technical Health Professions and Rehabilitation, Careggi University Hospital, Florence, Italy
| | - Alessandro Fiorenza
- Neuroradiology Unit, Department of Radiology, Careggi University Hospital, Florence, Italy
| | - Francesca Di Pasquale
- Neuroradiology Unit, Department of Radiology, Careggi University Hospital, Florence, Italy
| | - Maria Giulia Maccaglia
- Diagnostic Imaging Unit, Department of Experimental and Clinical Biomedical Sciences, University of Florence, Florence, Italy
| | - Maddalena Toffali
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Sara Mancini
- Neuroradiology Unit, Department of Radiology, Careggi University Hospital, Florence, Italy
| | - Edoardo Carlesi
- Neuroradiology Unit, Department of Radiology, Careggi University Hospital, Florence, Italy
| | | | - Ivano Lombardo
- Neuroradiology Unit, Department of Radiology, Careggi University Hospital, Florence, Italy
| | - Alessandro Padovani
- Neurology Unit, Department of Clinical and Experimental Sciences, University of Brescia, Brescia, Italy
| | - Enrico Fainardi
- Neuroradiology Unit, Department of Experimental and Clinical Biomedical Sciences, University of Florence, Florence, Italy
| |
Collapse
|
12
|
Wouters A, Seners P, Yuen N, Mlynash M, Heit JJ, Kemp S, Demeestere J, Christensen S, Albers GW, Lemmens R, Lansberg MG. Clinical and Imaging Features Associated With Fast Infarct Growth During Interhospital Transfers of Patients With Large Vessel Occlusions. Neurology 2024; 103:e209814. [PMID: 39173104 PMCID: PMC11343586 DOI: 10.1212/wnl.0000000000209814] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2024] [Accepted: 07/05/2024] [Indexed: 08/24/2024] Open
Abstract
BACKGROUND AND OBJECTIVES Acute ischemic stroke patients with a large vessel occlusion (LVO) who present to a primary stroke center (PSC) often require transfer to a comprehensive stroke center (CSC) for thrombectomy. Not much is known about specific characteristics at the PSC that are associated with infarct growth during transfer. Gaining more insight into these features could aid future trials with cytoprotective agents targeted at slowing infarct growth. We aimed to identify baseline clinical and imaging characteristics that are associated with fast infarct growth rate (IGR) during interhospital transfer. METHODS We included patients from the CT Perfusion to Predict Response to Recanalization in Ischemic Stroke Project, a prospective multicenter study. Patients with an anterior circulation LVO who were transferred from a PSC to a CSC for consideration of thrombectomy were eligible if imaging criteria were fulfilled. A CT perfusion (CTP) needed to be obtained at the PSC followed by an MRI at the CSC, before consideration of thrombectomy. The interhospital IGR was defined as the difference between the infarct volumes on MRI and CTP, divided by the time between the scans. Multivariable logistic regression was used to determine characteristics associated with fast IGR (≥5 mL/h). RESULTS A total of 183 patients with a median age of 74 years (interquartile range 61-82), of whom 99 (54%) were male and 82 (45%) were fast progressors, were included. At baseline, fast progressors had a higher NIH Stroke Scale score (median 16 vs 13), lower cerebral blood volume index (median 0.80 vs 0.89), more commonly poor collaterals on CT angiography (35% vs 13%), higher hypoperfusion intensity ratios (HIRs) (median 0.51 vs 0.34), and larger core volumes (median 11.80 mL vs 0.00 mL). In multivariable analysis, higher HIR (adjusted odds ratio [aOR] for every 0.10 increase 1.32 [95% CI 1.10-1.59]) and larger core volume (aOR for every 10 mL increase 1.54 [95% CI 1.20-2.11]) remained independently associated with fast IGR. DISCUSSION Fast infarct growth during interhospital transfer of acute stroke patients is associated with imaging markers of poor collaterals on baseline imaging. These markers are promising targets for patient selection in cytoprotective trials aimed at reducing interhospital infarct growth.
Collapse
Affiliation(s)
- Anke Wouters
- From the Division of Experimental Neurology, Department of Neurosciences (A.W., J.D., R.L.), KU Leuven; Stanford Stroke Center (A.W., P.S., N.Y., M.M., S.K., S.C., G.W.A., M.G.L.), Palo Alto, CA; Institut de Psychiatrie et Neurosciences de Paris (IPNP) (P.S.), U1266, INSERM; Neurology Department (P.S.), Hôpital Fondation A. de Rothschild, Paris, France; Radiology Department (J.J.H.), Stanford University, Palo Alto, CA; and Department of Neurology (J.D., R.L.), University Hospitals Leuven, Belgium
| | - Pierre Seners
- From the Division of Experimental Neurology, Department of Neurosciences (A.W., J.D., R.L.), KU Leuven; Stanford Stroke Center (A.W., P.S., N.Y., M.M., S.K., S.C., G.W.A., M.G.L.), Palo Alto, CA; Institut de Psychiatrie et Neurosciences de Paris (IPNP) (P.S.), U1266, INSERM; Neurology Department (P.S.), Hôpital Fondation A. de Rothschild, Paris, France; Radiology Department (J.J.H.), Stanford University, Palo Alto, CA; and Department of Neurology (J.D., R.L.), University Hospitals Leuven, Belgium
| | - Nicole Yuen
- From the Division of Experimental Neurology, Department of Neurosciences (A.W., J.D., R.L.), KU Leuven; Stanford Stroke Center (A.W., P.S., N.Y., M.M., S.K., S.C., G.W.A., M.G.L.), Palo Alto, CA; Institut de Psychiatrie et Neurosciences de Paris (IPNP) (P.S.), U1266, INSERM; Neurology Department (P.S.), Hôpital Fondation A. de Rothschild, Paris, France; Radiology Department (J.J.H.), Stanford University, Palo Alto, CA; and Department of Neurology (J.D., R.L.), University Hospitals Leuven, Belgium
| | - Michael Mlynash
- From the Division of Experimental Neurology, Department of Neurosciences (A.W., J.D., R.L.), KU Leuven; Stanford Stroke Center (A.W., P.S., N.Y., M.M., S.K., S.C., G.W.A., M.G.L.), Palo Alto, CA; Institut de Psychiatrie et Neurosciences de Paris (IPNP) (P.S.), U1266, INSERM; Neurology Department (P.S.), Hôpital Fondation A. de Rothschild, Paris, France; Radiology Department (J.J.H.), Stanford University, Palo Alto, CA; and Department of Neurology (J.D., R.L.), University Hospitals Leuven, Belgium
| | - Jeremy J Heit
- From the Division of Experimental Neurology, Department of Neurosciences (A.W., J.D., R.L.), KU Leuven; Stanford Stroke Center (A.W., P.S., N.Y., M.M., S.K., S.C., G.W.A., M.G.L.), Palo Alto, CA; Institut de Psychiatrie et Neurosciences de Paris (IPNP) (P.S.), U1266, INSERM; Neurology Department (P.S.), Hôpital Fondation A. de Rothschild, Paris, France; Radiology Department (J.J.H.), Stanford University, Palo Alto, CA; and Department of Neurology (J.D., R.L.), University Hospitals Leuven, Belgium
| | - Stephanie Kemp
- From the Division of Experimental Neurology, Department of Neurosciences (A.W., J.D., R.L.), KU Leuven; Stanford Stroke Center (A.W., P.S., N.Y., M.M., S.K., S.C., G.W.A., M.G.L.), Palo Alto, CA; Institut de Psychiatrie et Neurosciences de Paris (IPNP) (P.S.), U1266, INSERM; Neurology Department (P.S.), Hôpital Fondation A. de Rothschild, Paris, France; Radiology Department (J.J.H.), Stanford University, Palo Alto, CA; and Department of Neurology (J.D., R.L.), University Hospitals Leuven, Belgium
| | - Jelle Demeestere
- From the Division of Experimental Neurology, Department of Neurosciences (A.W., J.D., R.L.), KU Leuven; Stanford Stroke Center (A.W., P.S., N.Y., M.M., S.K., S.C., G.W.A., M.G.L.), Palo Alto, CA; Institut de Psychiatrie et Neurosciences de Paris (IPNP) (P.S.), U1266, INSERM; Neurology Department (P.S.), Hôpital Fondation A. de Rothschild, Paris, France; Radiology Department (J.J.H.), Stanford University, Palo Alto, CA; and Department of Neurology (J.D., R.L.), University Hospitals Leuven, Belgium
| | - Soren Christensen
- From the Division of Experimental Neurology, Department of Neurosciences (A.W., J.D., R.L.), KU Leuven; Stanford Stroke Center (A.W., P.S., N.Y., M.M., S.K., S.C., G.W.A., M.G.L.), Palo Alto, CA; Institut de Psychiatrie et Neurosciences de Paris (IPNP) (P.S.), U1266, INSERM; Neurology Department (P.S.), Hôpital Fondation A. de Rothschild, Paris, France; Radiology Department (J.J.H.), Stanford University, Palo Alto, CA; and Department of Neurology (J.D., R.L.), University Hospitals Leuven, Belgium
| | - Gregory W Albers
- From the Division of Experimental Neurology, Department of Neurosciences (A.W., J.D., R.L.), KU Leuven; Stanford Stroke Center (A.W., P.S., N.Y., M.M., S.K., S.C., G.W.A., M.G.L.), Palo Alto, CA; Institut de Psychiatrie et Neurosciences de Paris (IPNP) (P.S.), U1266, INSERM; Neurology Department (P.S.), Hôpital Fondation A. de Rothschild, Paris, France; Radiology Department (J.J.H.), Stanford University, Palo Alto, CA; and Department of Neurology (J.D., R.L.), University Hospitals Leuven, Belgium
| | - Robin Lemmens
- From the Division of Experimental Neurology, Department of Neurosciences (A.W., J.D., R.L.), KU Leuven; Stanford Stroke Center (A.W., P.S., N.Y., M.M., S.K., S.C., G.W.A., M.G.L.), Palo Alto, CA; Institut de Psychiatrie et Neurosciences de Paris (IPNP) (P.S.), U1266, INSERM; Neurology Department (P.S.), Hôpital Fondation A. de Rothschild, Paris, France; Radiology Department (J.J.H.), Stanford University, Palo Alto, CA; and Department of Neurology (J.D., R.L.), University Hospitals Leuven, Belgium
| | - Maarten G Lansberg
- From the Division of Experimental Neurology, Department of Neurosciences (A.W., J.D., R.L.), KU Leuven; Stanford Stroke Center (A.W., P.S., N.Y., M.M., S.K., S.C., G.W.A., M.G.L.), Palo Alto, CA; Institut de Psychiatrie et Neurosciences de Paris (IPNP) (P.S.), U1266, INSERM; Neurology Department (P.S.), Hôpital Fondation A. de Rothschild, Paris, France; Radiology Department (J.J.H.), Stanford University, Palo Alto, CA; and Department of Neurology (J.D., R.L.), University Hospitals Leuven, Belgium
| |
Collapse
|
13
|
Zhang X, Liu Q, Guo L, Guo X, Zhou X, Lv S, Lin Y, Wang J. Insights into multilevel tissue-level collateral status using ColorViz maps from dual data sources in acute ischemic cerebrovascular diseases: A STARD-compliant retrospective study. Medicine (Baltimore) 2024; 103:e39787. [PMID: 39312348 PMCID: PMC11419551 DOI: 10.1097/md.0000000000039787] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/06/2024] [Accepted: 08/30/2024] [Indexed: 09/25/2024] Open
Abstract
This study aims to explore the utility of ColorViz mapping from dual data sources for assessing arterial collateral circulation and predicting cerebral tissue-level collateral (TLC) in patients with acute ischemic cerebrovascular diseases. A retrospective study was conducted at a single center on a cohort of 79 patients diagnosed with acute ischemic cerebrovascular diseases between November 2021 and April 2022, who had undergone both multi-phase CT angiography (mCTA) and computed tomography perfusion (CTP). The quality of images and arterial collateral status depicted on ColorViz maps from dual data-sets (mCTA and CTP) were assessed using a "5-point scale" and a "10-point scale," respectively. The status of TLC was evaluated by analyzing multilevel hypoperfusion volume and the hypoperfusion intensity ratio (HIR). The Spearman correlation coefficient was employed to examine the association between arterial collateral status derived from dual data sources and TLC. Receiver operating characteristic curve analysis was used to determine the diagnostic efficacy in detecting large vessel occlusive acute ischemic stroke (LVO-AIS). The ColorViz maps derived from dual data sources facilitated comparable image quality, with over 95% of cases meeting diagnostic criteria, for the evaluation of arterial level collateral circulation. Patients with robust arterial collateral circulation, as determined by dual data sources, were more likely to exhibit favorable TLC status, as evidenced by reductions in hypoperfusion volume (Tmax > 4 seconds, Tmax > 6 seconds, Tmax > 8 seconds, and Tmax > 10 seconds, P < .05) and HIR (Tmax > 6 seconds/4 seconds, Tmax > 8 seconds/4 seconds, Tmax > 10 seconds/4 seconds, and Tmax > 8 seconds/6 seconds, P < .05). The sensitivity and specificity in detecting LVO-AIS was 60.00% and 97.73% for mCTA source maps, while 74.29% and 72.73% for CTP source maps (P > .05 based on De-Long test). In conclusion, this study indicates that ColorViz maps derived from both data sources are equally important in evaluating arterial collateral circulation and enhancing diagnostic efficiency in patients with LVO-AIS, as well as offering insights into the TLC status based on hypoperfusion volume and HIR.
Collapse
Affiliation(s)
- Xiaoxiao Zhang
- Department of Radiology, Zhongshan Hospital Affiliated to Xiamen University, School of Medicine, Xiamen University, Xiamen, China
- Xiamen Radiology Quality Control Center, Zhongshan Hospital Affiliated to Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Qingyu Liu
- Department of Ultrasound, The First Affiliated Hospital of Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Luxin Guo
- Department of Radiology, Zhongshan Hospital Affiliated to Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Xiaoxi Guo
- Department of Radiology, Zhongshan Hospital Affiliated to Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Xinhua Zhou
- Department of Radiology, Zhongshan Hospital Affiliated to Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Shaomao Lv
- Department of Radiology, Zhongshan Hospital Affiliated to Xiamen University, School of Medicine, Xiamen University, Xiamen, China
- Xiamen Radiology Quality Control Center, Zhongshan Hospital Affiliated to Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| | - Yu Lin
- Department of Radiology, Zhongshan Hospital Affiliated to Xiamen University, School of Medicine, Xiamen University, Xiamen, China
- Xiamen Radiology Quality Control Center, Zhongshan Hospital Affiliated to Xiamen University, School of Medicine, Xiamen University, Xiamen, China
- Department of Radiology, The First Affiliated Hospital of Fujian Medical University, The First Clinical Medical College of Fujian Medical University, Fuzhou, China
| | - Jinan Wang
- Department of Radiology, Zhongshan Hospital Affiliated to Xiamen University, School of Medicine, Xiamen University, Xiamen, China
- Xiamen Radiology Quality Control Center, Zhongshan Hospital Affiliated to Xiamen University, School of Medicine, Xiamen University, Xiamen, China
| |
Collapse
|
14
|
Strinitz M, Zimmer C, Berndt M, Wunderlich S, Boeckh-Behrens T, Maegerlein C, Sepp D. High relative cerebral blood volume is associated with good long term clinical outcomes in acute ischemic stroke: a retrospective cohort study. BMC Neurol 2024; 24:294. [PMID: 39187761 PMCID: PMC11345997 DOI: 10.1186/s12883-024-03806-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2023] [Accepted: 08/14/2024] [Indexed: 08/28/2024] Open
Abstract
BACKGROUND Endovascular therapy for acute ischemic stroke has been shown to be highly effective in selected patients. However, the ideal criteria for patient selection are still debated. It is well known that collateral flow is an important factor, but the assessment is often subjective and time-consuming. Relative cerebral blood volume (rCBV) is a putative indicator of collateral capacity and can be quickly and easily determined by automated quantitative analysis. We investigated the relationship between rCBV of the affected region and clinical outcome in patients with acute ischemic stroke after endovascular therapy. METHODS We conducted a retrospective study on consecutive patients between January 2017 and May 2019. Patients with acute ischemic stroke of the anterior circulation who underwent imaging including computed tomography perfusion and were treated with mechanical thrombectomy (MT) were eligible for inclusion. rCBV was calculated automatically with RAPID software by dividing the average cerebral blood volume (CBV) of the affected region (time-to-maximum (Tmax) > 6 s) by the CBV of the unaffected contralateral side. The primary outcome was determined by the modified Rankin Scale (mRS) after 90 days. Good clinical outcome was defined as mRS ≤ 2. We compared means, performed mono- and multivariate logistical regression and calculated a receiver operating characteristic (ROC)-analysis to determine the ideal cutoff value to predict clinical outcomes. RESULTS 155 patients were enrolled in this study. 66 patients (42.58%) had good clinical outcomes. Higher rCBV was associated with good clinical outcome (p < 0.001), even after adjustment for the patients' status according to mRS and National Institute of Health Stroke Scale (NIHSS) age and Alberta stroke program early computed tomography score (ASPECTS) at baseline (p = 0.006). ROC-analysis revealed 0.650 (confidence interval: 0.616-0.778) as the optimal cutoff value. CONCLUSION Higher rCBV at baseline is associated with good clinical long-term outcomes in patients with acute ischemic stroke treated by MT. In this study we provide the biggest collective so far that gives evidence that rCBV can be a valuable tool to identify patients who might benefit from MT and are able give a threshold to help to offer patients MT in borderline cases.
Collapse
Affiliation(s)
- Marc Strinitz
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, School of Medicine and Health, Technical University of Munich, Munich, Germany.
| | - Claus Zimmer
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Maria Berndt
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Silke Wunderlich
- Department of Neurology, Klinikum rechts der Isar, School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Tobias Boeckh-Behrens
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Christian Maegerlein
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, School of Medicine and Health, Technical University of Munich, Munich, Germany
| | - Dominik Sepp
- Department of Diagnostic and Interventional Neuroradiology, Klinikum rechts der Isar, School of Medicine and Health, Technical University of Munich, Munich, Germany
| |
Collapse
|
15
|
Salim HA, Hamam O, Parilday G, Moustafa RA, Ghandour S, Rutgers M, Sharara M, Cho A, Mazumdar I, Radmard M, Shin C, Montes D, Malhotra A, Romero JM, Yedavalli V. Relative Cerebral Blood Flow as an Indirect Imaging Surrogate in Patients With Anterior Circulation Large Vessel Occlusion and Association of Baseline Characteristics With Poor Collateral Status. J Am Heart Assoc 2024; 13:e034581. [PMID: 39158542 PMCID: PMC11963935 DOI: 10.1161/jaha.124.034581] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2024] [Accepted: 07/15/2024] [Indexed: 08/20/2024]
Abstract
BACKGROUND In acute ischemic stroke (AIS), collateral status (CS) is an important predictor of favorable outcomes in patients with AIS. Among quantitative cerebral perfusion parameters, relative cerebral blood flow (rCBF) is considered an accurate perfusion-based indicator of CS. This study investigated the relationship between admission laboratory values, baseline characteristics, and CS as assessed by rCBF in patients with AIS-large vessel occlusion. METHODS AND RESULTS In this retrospective multicenter study, consecutive patients presenting with AIS secondary to anterior circulation large vessel occlusion who underwent pretreatment computed tomography perfusion were included. The computed tomography perfusion data processed by RAPID (IschemaView, Menlo Park, CA) generated the rCBF. Binary logistic regression models assessed the relationship between patients' baseline characteristics, admission laboratory values, and poor CS. The primary outcome measure was the presence of poor CS, which was defined as rCBF <38% at a lesion size ≥27 mL. Between January 2017 and September 2022, there were 221 consecutive patients with AIS-large vessel occlusion included in our study (mean age 67.0±15.8 years, 119 men [53.8%]). Logistic regression showed that male sex (odds ratio [OR], 2.98 [1.59-5.59]; P=0.001), chronic kidney disease (OR, 5.18 [2.44-11.0]; P<0.001), admission National Institutes of Health Stroke Scale score ≥12 (OR, 5.17 [2.36-11.36]; P<0.001), and systolic blood pressure <140 (OR, 2.00 [1.07-3.76]; P=0.030) were associated with poor CS. CONCLUSIONS Higher stroke severity on admission with National Institutes of Health Stroke Scale score ≥12, systolic blood pressure <140, chronic kidney disease, and male sex are statistically significantly associated with poor CS in patients with AIS due to anterior circulation large vessel occlusion as defined by rCBF <38%.
Collapse
Affiliation(s)
| | | | | | | | | | - Moustafa Rutgers
- Rutgers University School of Arts and SciencesNew BrunswickNJUSA
| | | | - Andrew Cho
- Johns Hopkins University School of MedicineBaltimoreMDUSA
| | - Ishan Mazumdar
- Johns Hopkins University School of MedicineBaltimoreMDUSA
| | | | | | - Daniel Montes
- University of ColoradoAnschutz Medical CampusAuroraCAUSA
| | | | | | | |
Collapse
|
16
|
Miller MM, Wideman B, Khan M, Henninger N. Hypoperfusion Intensity Ratio Is Associated with Early Neurologic Deficit Severity and Deterioration after Mechanical Thrombectomy in Large-Vessel Occlusion Ischemic Stroke. AJNR Am J Neuroradiol 2024; 45:879-886. [PMID: 38816020 DOI: 10.3174/ajnr.a8234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2023] [Accepted: 02/09/2024] [Indexed: 06/01/2024]
Abstract
BACKGROUND AND PURPOSE The hypoperfusion intensity ratio is a surrogate marker for collateral status and a predictor of infarct growth, malignant cerebral edema, and hemorrhagic transformation. Its utility to predict a poor NIHSS score and early neurologic deterioration after mechanical thrombectomy for large vessel (LVO) versus distal and medium vessel occlusions (DMVO) has not been investigated. The objective of this study was to determine whether the higher hypoperfusion intensity ratio is associated with a worse NIHSS score at 24 hours post-mechanical thrombectomy and early neurologic deterioration in LVO versus DMVO acute ischemic stroke. MATERIALS AND METHODS This was a retrospective study of 231 patients with acute ischemic stroke with LVO or DMVO amenable for mechanical thrombectomy and available CTP for hypoperfusion intensity ratio assessment pre-mechanical thrombectomy. Clinical and imaging characteristics were abstracted from the medical records. The primary outcome was the NIHSS score at 24 hours post-mechanical thrombectomy. The secondary outcome was early neurologic deterioration, defined as a >4-point increase in the NIHSS score between the initial assessment and 24 hours post-mechanical thrombectomy. All analyses were first conducted in the entire cohort and then separately for the LVO versus DMVO groups. RESULTS The optimal hypoperfusion intensity ratio threshold to detect early neurologic deterioration was 0.54. A hypoperfusion intensity ratio ≥ 0.54 was more frequently present in LVO versus DMVO (n = 37 [77.1%] versus n = 11 [22.9%]; P < .001). On multivariable linear regression, the hypoperfusion intensity ratio ≥ 0.54 was independently associated with a worse NIHSS score at 24 hours post-mechanical thrombectomy in the entire cohort (β = 0.163; P = .002) and the LVO group (β = 0.210; P = .005), but not in the DMVO group. The early neurologic deterioration occurred in 26 (11.3%) subjects. On multivariable logistic regression, there was no association of the hypoperfusion intensity ratio ≥ 0.54 with early neurologic deterioration in the entire cohort. However, when analyzed separately, a hypoperfusion intensity ratio ≥ 0.54 significantly increased the odds of early neurologic deterioration in subjects with LVO (OR = 5.263; 95% CI, 1.170-23.674; P = .030) but not in the DMVO group. CONCLUSIONS The hypoperfusion intensity ratio ≥ 0.54 was independently associated with a worse 24-hour post-mechanical thrombectomy NIHSS score and early neurologic deterioration in LVO, but not in DMVO acute ischemic stroke. Pending confirmation in future, prospective studies assessing the hypoperfusion intensity ratio may help identify patients at risk of secondary decline to improve peri-thrombectomy care and clinical decision-making.
Collapse
Affiliation(s)
- Małgorzata M Miller
- From the Department of Neurosciences (M.M.M., B.W.), Corewell Health West, Grand Rapids, Michigan
- College of Human Medicine (M.M.M.), Michigan State University, Grand Rapids, Michigan
| | - Brian Wideman
- From the Department of Neurosciences (M.M.M., B.W.), Corewell Health West, Grand Rapids, Michigan
| | - Muhib Khan
- Department of Neurology (M.K.), Mayo Clinic, Rochester, Minnesota
| | - Nils Henninger
- Department of Neurology (N.H.), University of Massachusetts, Chan Medical School Worcester, Massachusetts
- Department of Psychiatry (N.H.), University of Massachusetts, Chan Medical School Worcester, Massachusetts
| |
Collapse
|
17
|
Yedavalli V, Koneru M, Hamam O, Hoseinyazdi M, Marsh EB, Llinas R, Urrutia V, Leigh R, Gonzalez F, Xu R, Caplan J, Huang J, Lu H, Wintermark M, Heit J, Guenego A, Albers G, Nael K, Hillis A. Pretreatment CTP Collateral Parameters Predict Good Outcomes in Successfully Recanalized Middle Cerebral Artery Distal Medium Vessel Occlusions. Clin Neuroradiol 2024; 34:341-349. [PMID: 38155255 DOI: 10.1007/s00062-023-01371-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2023] [Accepted: 11/23/2023] [Indexed: 12/30/2023]
Abstract
BACKGROUND/PURPOSE Distal medium vessel occlusions (DMVOs) account for a large percentage of vessel occlusions resulting in acute ischemic stroke (AIS) with disabling symptoms. We aim to assess whether pretreatment quantitative CTP collateral status (CS) parameters can serve as imaging biomarkers for good clinical outcomes prediction in successfully recanalized middle cerebral artery (MCA) DMVOs. METHODS We performed a retrospective analysis of consecutive patients with AIS secondary to primary MCA-DMVOs who were successfully recanalized by mechanical thrombectomy (MT) defined as modified thrombolysis in cerebral infarction (mTICI) 2b, 2c, or 3. We evaluated the association between the CBV index and HIR independently with good clinical outcomes (modified Rankin score 0-2) using Spearman rank correlation, logistic regression, and ROC analyses. RESULTS From 22 August 2018 to 18 October 2022 8/22/2018 to 10/18/2022, 60 consecutive patients met our inclusion criteria (mean age 71.2 ± 13.9 years old [mean ± SD], 35 female). The CBV index (r = -0.693, p < 0.001) and HIR (0.687, p < 0.001) strongly correlated with 90-day mRS. A CBV index ≥ 0.7 (odds ratio, OR, 2.27, range 6.94-21.23 [OR] 2.27 [6.94-21.23], p = 0.001)) and lower likelihood of prior stroke (0.13 [0.33-0.86]), p = 0.024)) were independently associated with good outcomes. The ROC analysis demonstrated good performance of the CBV index in predicting good 90-day mRS (AUC 0.73, p = 0.003) with a threshold of 0.7 for optimal sensitivity (71% [52.0-85.8%]) and specificity (76% [54.9-90.6%]). The HIR also demonstrated adequate performance in predicting good 90-day mRS (AUC 0.77, p = 0.001) with a threshold of 0.3 for optimal sensitivity (64.5% [45.4-80.8%]) and specificity (76.0% [54.9-90.6%]). CONCLUSION A CBV index ≥ 0.7 may be independently associated with good clinical outcomes in our cohort of AIS caused by MCA-DMVOs that were successfully treated with MT. Furthermore, a HIR < 0.3 is also associated with good clinical outcomes. This is the first study of which we are aware to identify a CBV index threshold for MCA-DMVOs.
Collapse
Affiliation(s)
- Vivek Yedavalli
- Department of Radiology and Radiological Sciences, Johns Hopkins School of Medicine, Phipps B112-D, 21287, Baltimore, MD, USA.
- Department of Neurology, Stanford University School of Medicine, Stanford, Ca, USA.
| | - Manisha Koneru
- Department of Radiology and Radiological Sciences, Johns Hopkins School of Medicine, Phipps B112-D, 21287, Baltimore, MD, USA
| | - Omar Hamam
- Department of Radiology and Radiological Sciences, Johns Hopkins School of Medicine, Phipps B112-D, 21287, Baltimore, MD, USA
| | - Meisam Hoseinyazdi
- Department of Radiology and Radiological Sciences, Johns Hopkins School of Medicine, Phipps B112-D, 21287, Baltimore, MD, USA
| | | | - Raf Llinas
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Victor Urrutia
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Richard Leigh
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Fernando Gonzalez
- Department of Neurosurgery, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Risheng Xu
- Department of Neurosurgery, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Justin Caplan
- Department of Neurosurgery, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Judy Huang
- Department of Neurosurgery, Johns Hopkins School of Medicine, Baltimore, MD, USA
| | - Hanzhang Lu
- Department of Radiology and Radiological Sciences, Johns Hopkins School of Medicine, Phipps B112-D, 21287, Baltimore, MD, USA
| | - Max Wintermark
- Department of Radiology, University of Texas, MD Anderson, TX, USA
| | - Jeremy Heit
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Adrien Guenego
- Department of Radiology, Université libre de Bruxelles, Bruxelles, Belgium
| | - Greg Albers
- Department of Radiology, Université libre de Bruxelles, Bruxelles, Belgium
| | - Kambiz Nael
- Department of Radiology, David Geffen UCLA School of Medicine, Los Angeles, Ca, USA
| | - Argye Hillis
- Department of Neurology, Johns Hopkins School of Medicine, Baltimore, MD, USA
| |
Collapse
|
18
|
Wang Z, Li L. Long term outcome after endovascular treatment for large ischemic core acute stroke is associated with hypoperfusion intensity ratio and onset-to-reperfusion time. Neurosurg Rev 2024; 47:182. [PMID: 38649539 DOI: 10.1007/s10143-024-02417-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/31/2023] [Revised: 03/08/2024] [Accepted: 04/09/2024] [Indexed: 04/25/2024]
Abstract
BACKGROUND Endovascular treatment (EVT) is effective for large vessel occlusion (LVO) stroke with smaller volumes of CT perfusion (CTP)-defined core. However, the influence of perfusion imaging during thrombectomy on the functional outcomes of patients with large ischemic core (LIC) stroke at both early and late time windows is uncertain in real-world practice. METHOD A retrospective analysis was performed on 99 patients who underwent computed tomography angiography (CTA) and CT perfusion (CTP)-Rapid Processing of Perfusion and Diffusion (RAPID) before EVT and had a baseline ischemic core ≥ 50 mL and/or Alberta Stroke Program Early CT Score (ASPECTS) score of 0-5. The primary outcome was the three-month modified Rankin Scale (mRS) score. Data were analyzed by binary logistic regression and receiver operating characteristic (ROC) curves. RESULTS A fair outcome (mRS, 0-3) was found in 34 of the 99 patients while 65 had a poor prognosis (mRS, 4-6). The multivariate logistic regression analysis showed that onset-to-reperfusion (OTR) time (odds ratio [OR], 1.004; 95% confidence interval [CI], 1.001-1.007; p = 0.008), ischemic core (OR, 1.066; 95% CI, 1.024-1.111; p = 0.008), and the hypoperfusion intensity ratio (HIR) (OR, 70.898; 95% CI, 1.130-4450.152; p = 0.044) were independent predictors of outcome. The combined results of ischemic core, HIR, and OTR time showed good performance with an area under the ROC curve (AUC) of 0.937, significantly higher than the individual variables (p < 0.05) using DeLong's test. CONCLUSIONS Higher HIR and longer OTR time in large core stroke patients were independently associated with unfavorable three-month outcomes after EVT.
Collapse
Affiliation(s)
- Zhengyang Wang
- Department of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
| | - Ling Li
- Department of Neurology, Taizhou Clinical Medical School of Nanjing Medical University, Jiangsu Taizhou People's Hospital, Taizhou, 225300, China
| |
Collapse
|
19
|
Koneru M, Hoseinyazdi M, Wang R, Ozkara BB, Hyson NZ, Marsh EB, Llinas RH, Urrutia VC, Leigh R, Gonzalez LF, Xu R, Caplan JM, Huang J, Lu H, Luna L, Wintermark M, Dmytriw AA, Guenego A, Albers GW, Heit JJ, Nael K, Hillis AE, Yedavalli VS. Pretreatment parameters associated with hemorrhagic transformation among successfully recanalized medium vessel occlusions. J Neurol 2024; 271:1901-1909. [PMID: 38099953 DOI: 10.1007/s00415-023-12149-4] [Citation(s) in RCA: 5] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/07/2023] [Revised: 11/26/2023] [Accepted: 12/03/2023] [Indexed: 03/28/2024]
Abstract
Although pretreatment radiographic biomarkers are well established for hemorrhagic transformation (HT) following successful mechanical thrombectomy (MT) in large vessel occlusion (LVO) strokes, they are yet to be explored for medium vessel occlusion (MeVO) acute ischemic strokes. We aim to investigate pretreatment imaging biomarkers representative of collateral status, namely the hypoperfusion intensity ratio (HIR) and cerebral blood volume (CBV) index, and their association with HT in successfully recanalized MeVOs. A prospectively collected registry of acute ischemic stroke patients with MeVOs successfully recanalized with MT between 2019 and 2023 was retrospectively reviewed. A multivariate logistic regression for HT of any subtype was derived by combining significant univariate predictors into a forward stepwise regression with minimization of Akaike information criterion. Of 60 MeVO patients successfully recanalized with MT, HT occurred in 28.3% of patients. Independent factors for HT included: diabetes mellitus history (p = 0.0005), CBV index (p = 0.0071), and proximal versus distal occlusion location (p = 0.0062). A multivariate model with these factors had strong diagnostic performance for predicting HT (area under curve [AUC] 0.93, p < 0.001). Lower CBV indexes, distal occlusion location, and diabetes history are significantly associated with HT in MeVOs successfully recanalized with MT. Of note, HIR was not found to be significantly associated with HT.
Collapse
Affiliation(s)
- Manisha Koneru
- Cooper Medical School of Rowan University, Camden, NJ, USA
| | - Meisam Hoseinyazdi
- Johns Hopkins School of Medicine, Phipps B122-D, Baltimore, MD, 21287, USA
| | - Richard Wang
- Johns Hopkins School of Medicine, Phipps B122-D, Baltimore, MD, 21287, USA
| | | | - Nathan Z Hyson
- Johns Hopkins School of Medicine, Phipps B122-D, Baltimore, MD, 21287, USA
| | | | - Rafael H Llinas
- Johns Hopkins School of Medicine, Phipps B122-D, Baltimore, MD, 21287, USA
| | - Victor C Urrutia
- Johns Hopkins School of Medicine, Phipps B122-D, Baltimore, MD, 21287, USA
| | - Richard Leigh
- Johns Hopkins School of Medicine, Phipps B122-D, Baltimore, MD, 21287, USA
| | | | - Risheng Xu
- Johns Hopkins School of Medicine, Phipps B122-D, Baltimore, MD, 21287, USA
| | - Justin M Caplan
- Johns Hopkins School of Medicine, Phipps B122-D, Baltimore, MD, 21287, USA
| | - Judy Huang
- Johns Hopkins School of Medicine, Phipps B122-D, Baltimore, MD, 21287, USA
| | - Hanzhang Lu
- Johns Hopkins School of Medicine, Phipps B122-D, Baltimore, MD, 21287, USA
| | - Licia Luna
- Johns Hopkins School of Medicine, Phipps B122-D, Baltimore, MD, 21287, USA
| | | | | | - Adrien Guenego
- Universite Libre De Bruxelles Hospital Erasme, Anderlecht, Belgium
| | | | - Jeremy J Heit
- Stanford University School of Medicine, Stanford, CA, USA
| | - Kambiz Nael
- David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Argye E Hillis
- Johns Hopkins School of Medicine, Phipps B122-D, Baltimore, MD, 21287, USA
| | - Vivek S Yedavalli
- Johns Hopkins School of Medicine, Phipps B122-D, Baltimore, MD, 21287, USA.
| |
Collapse
|
20
|
Ladumor H, Vilanilam GK, Ameli S, Pandey I, Vattoth S. CT perfusion in stroke: Comparing conventional and RAPID automated software. Curr Probl Diagn Radiol 2024; 53:201-207. [PMID: 37891080 DOI: 10.1067/j.cpradiol.2023.10.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/02/2023] [Revised: 09/12/2023] [Accepted: 10/18/2023] [Indexed: 10/29/2023]
Abstract
CT perfusion (CTP) imaging is increasingly used for routine evaluation of acute ischemic stroke. Knowledge about the different types of CTP software, imaging acquisition and post-processing, and interpretation is crucial for appropriate patient selection for reperfusion therapy. Conventional vendor-provided CTP software differentiates between ischemic penumbra and core infarct using the tiebreaker of critically reduced cerebral blood volume (CBV) values within brain regions showing abnormally elevated time parameters like mean transit time (MTT) or time to peak (TTP). On the other hand, RAPID automated software differentiates between ischemic penumbra and core infarct using the tiebreaker of critically reduced cerebral blood flow (CBF) values within brain regions showing abnormally elevated time to maximum (Tmax). Additionally, RAPID calculates certain indices that confer prognostic value, such as the hypoperfusion and CBV index. In this review, we aim to familiarize the reader with the technical principles of CTP imaging, compare CTP maps generated by conventional and RAPID software, and discuss important thresholds for reperfusion and prognostic indices. Lastly, we discuss common pitfalls to help with the accurate interpretation of CTP imaging.
Collapse
Affiliation(s)
- Heta Ladumor
- Department of Radiology, University of Arkansas for Medical Sciences, 4301 W. Markham St - Slot 556, Little Rock, AR 72205, USA.
| | - George K Vilanilam
- Department of Radiology, University of Arkansas for Medical Sciences, 4301 W. Markham St - Slot 556, Little Rock, AR 72205, USA
| | - Sanaz Ameli
- Department of Radiology, University of Arkansas for Medical Sciences, 4301 W. Markham St - Slot 556, Little Rock, AR 72205, USA
| | | | - Surjith Vattoth
- Deparment of Diagnostic Radiology & Nuclear Medicine, Division of Neuroradiology, Rush University Medical Center, Chicago, IL 60612, USA
| |
Collapse
|
21
|
Sun A, Cao Y, Jia Z, Zhao L, Shi H, Liu S. Prognostic value of CBV index in patients with acute ischemic stroke treated with endovascular thrombectomy in late therapeutic window. Front Neurol 2024; 14:1282159. [PMID: 38259642 PMCID: PMC10800525 DOI: 10.3389/fneur.2023.1282159] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2023] [Accepted: 12/18/2023] [Indexed: 01/24/2024] Open
Abstract
Purpose To evaluate the prognostic value of the cerebral blood volume (CBV) index for 90-day functional outcomes in patients with acute ischemic stroke (AIS) treated within a late therapeutic window. Methods We retrospectively reviewed patients who underwent pre-treatment computed tomography perfusion (CTP) and endovascular thrombectomy (EVT) for large-vessel occlusion (LVO) of the anterior circulation within the late therapeutic window between January 2021 and February 2023. Clinical data, the Alberta Stroke Program Early Computed Tomography Score (ASPECTS) based on unenhanced computed tomography (CT), and perfusion parameters, including ischemic core, hypoperfusion volume, mismatch volume between the core and penumbra, and CBV index, were assessed and compared between patients who achieved favorable outcomes (defined as a modified Rankin Scale score of 0-2). Results Of the 118 patients, 56 (47.5%) had favorable outcomes. In the univariate analysis, age, National Institutes of Health Stroke Scale (NIHSS) score at admission, ASPECTS score, CBV index, and ischemic core volume were significantly associated with functional outcomes (P < 0.05). In multivariate analyses, age (odds ratio [OR], 1.060; 95% confidence interval [CI] 1.013-1.110, P = 0.012), NIHSS score at admission (OR, 1.126; 95% CI 1.031-1.229, P = 0.009), and CBV index (OR, 0.001; 95% CI 0.000-0.240, P = 0.014) were independent predictors of a 90-day favorable outcome. Conclusion A high CBV index was independently associated with favorable outcomes in patients who underwent mechanical thrombectomy within the late therapeutic window. In addition, a higher CBV index reflects improved blood flow and favorable digital subtraction angiography collateral status.
Collapse
Affiliation(s)
| | | | | | | | | | - Sheng Liu
- The First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| |
Collapse
|
22
|
Lakhani DA, Balar AB, Koneru M, Hoseinyazdi M, Hyson N, Cho A, Greene C, Xu R, Luna L, Caplan J, Dmytriw A, Guenego A, Wintermark M, Gonzalez F, Urrutia V, Huang J, Nael K, Rai AT, Albers GW, Heit JJ, Yedavalli V. Pretreatment CT perfusion collateral parameters correlate with penumbra salvage in middle cerebral artery occlusion. J Neuroimaging 2024; 34:44-49. [PMID: 38057941 DOI: 10.1111/jon.13178] [Citation(s) in RCA: 8] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2023] [Revised: 11/16/2023] [Accepted: 11/29/2023] [Indexed: 12/08/2023] Open
Abstract
BACKGROUND AND PURPOSE Acute ischemic stroke due to large vessel occlusion (AIS-LVO) is a major cause of functional dependence. Collateral status (CS) is an important determinant of functional outcomes. Pretreatment CT perfusion (CTP) parameters serve as reliable surrogates of CS. Penumbra Salvage Index (PSI) is another parameter predictive of functional outcomes in AIS-LVO. The aim of this study is to assess the relationship of pretreatment CTP parameters with PSI. METHODS In this prospectively collected, retrospectively reviewed multicenter analysis, inclusion criteria were as follows: (1) CT angiography confirmed middle cerebral artery (MCA) M1-segment and proximal M2-segment occlusion from 9/1/2017 to 9/22/2022; (2) diagnostic CTP; and (3) available diagnostic Magnetic resonance Imaging (MRI) diffusion-weighted images. Pearson correlation analysis was performed to assess the association between cerebral blood volume (CBV) index and hypoperfusion intensity ratio (HIR) with PSI. p value ≤.05 was considered statistically significant. RESULTS In total, 131 patients (n = 86, M1 and n = 45, proximal M2 occlusion) met our inclusion criteria. CBV index showed a modest positive correlation with PSI (r = 0.34, p<.001) in patients with proximal MCA occlusion. Similar trends were noted in subgroup analysis of patients with M1 occlusion, and proximal M2 occlusion. Whereas, HIR did not have a strong trend or correlation with PSI. CONCLUSION CBV index correlates with PSI, whereas HIR does not. Future studies are needed to expand our understanding of the adjunct role of CBV index with other similar pretreatment CTP-based markers in clinical evaluation and decision-making in patients with MCA occlusion.
Collapse
Affiliation(s)
- Dhairya A Lakhani
- Department of Radiology and Radiological Sciences, Johns Hopkins University, Baltimore, Maryland, USA
| | - Aneri B Balar
- Department of Radiology and Radiological Sciences, Johns Hopkins University, Baltimore, Maryland, USA
| | - Manisha Koneru
- Cooper Medical School, Rowan University, Camden, New Jersey, USA
| | - Meisam Hoseinyazdi
- Department of Radiology and Radiological Sciences, Johns Hopkins University, Baltimore, Maryland, USA
| | - Nathan Hyson
- Department of Radiology and Radiological Sciences, Johns Hopkins University, Baltimore, Maryland, USA
| | - Andrew Cho
- Department of Radiology and Radiological Sciences, Johns Hopkins University, Baltimore, Maryland, USA
| | - Cynthia Greene
- Department of Radiology and Radiological Sciences, Johns Hopkins University, Baltimore, Maryland, USA
| | - Risheng Xu
- Department of Neurosurgery, Johns Hopkins University, Baltimore, Maryland, USA
| | - Licia Luna
- Department of Radiology and Radiological Sciences, Johns Hopkins University, Baltimore, Maryland, USA
| | - Justin Caplan
- Department of Neurosurgery, Johns Hopkins University, Baltimore, Maryland, USA
| | - Adam Dmytriw
- Department of Radiology, Harvard Medical School, Boston, Massachusetts, USA
| | - Adrien Guenego
- Department of Radiology, Université Libre De Bruxelles Hospital Erasme, Anderlecht, Belgium
| | - Max Wintermark
- Department of Radiology, University of Texas, MD Anderson Center, Houston, Texas, USA
| | - Fernando Gonzalez
- Department of Neurosurgery, Johns Hopkins University, Baltimore, Maryland, USA
| | - Victor Urrutia
- Department of Neurology, Johns Hopkins University, Baltimore, Maryland, USA
| | - Judy Huang
- Department of Neurosurgery, Johns Hopkins University, Baltimore, Maryland, USA
| | - Kambiz Nael
- Division of Neuroradiology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, California, USA
| | - Ansaar T Rai
- Department of Radiology, West Virginia University, Morgantown, West Virginia, USA
| | - Gregory W Albers
- Department of Radiology, Stanford University School of Medicine, Stanford, California, USA
| | - Jeremy J Heit
- Department of Radiology, Stanford University School of Medicine, Stanford, California, USA
| | - Vivek Yedavalli
- Department of Radiology and Radiological Sciences, Johns Hopkins University, Baltimore, Maryland, USA
| |
Collapse
|
23
|
Liu L, Li Z, Zhou H, Duan W, Huo X, Xu W, Li S, Nie X, Liu H, Liu J, Sun D, Wei Y, Zhang G, Yuan W, Zheng L, Liu J, Wang D, Miao Z, Wang Y. Chinese Stroke Association guidelines for clinical management of ischaemic cerebrovascular diseases: executive summary and 2023 update. Stroke Vasc Neurol 2023; 8:e3. [PMID: 38158224 PMCID: PMC10800268 DOI: 10.1136/svn-2023-002998] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Accepted: 11/23/2023] [Indexed: 01/03/2024] Open
Abstract
BACKGROUND China is one of the countries with the highest burden of stroke. Implementing multidimensional management guidelines will help clinicians practise evidence-based care, improve patient outcomes and alleviate societal burdens. This update of the 2019 edition will provide the latest comprehensive recommendations for the diagnosis and treatment of ischaemic cerebrovascular diseases. METHODS We conducted a comprehensive search on MEDLINE (via PubMed) up to 31 August 2023. The writing team established the recommendations through multiple rounds of online and offline discussions. Each recommendation was graded using the evidence grading algorithm developed by the Chinese Stroke Association (CSA). The draft was reviewed and finalised by the CSA Stroke Guidelines Writing Committee. RESULTS This update included revisions of 15 existing recommendations and 136 new recommendations in the following areas of stroke care: emergency assessment and diagnosis of ischaemic cerebrovascular disease, acute-phase reperfusion therapy, evaluation of underlying mechanisms, antithrombotic therapy, prevention and treatment of complications, and risk factor management. CONCLUSIONS This guideline updated the recommendations for the clinical management of ischaemic cerebrovascular disease from 2019.
Collapse
Affiliation(s)
- Liping Liu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Zixiao Li
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- National Center for Healthcare Quality Management in Neurological Diseases, Beijing, China
- Research Unit of Artificial Intelligence in Cerebrovascular Disease, Chinese Academy of Medical Sciences, Beijing, China
- Chinese Institute for Brain Research, Beijing, China
| | - Hongyu Zhou
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Wanying Duan
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Xiaochuan Huo
- Neurological Disease Center, Cerebral Vascular Disease Department, Beijing Anzhen Hospital, Capital Medical University, Beijing, China
| | - Weihai Xu
- Department of Neurology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Shujuan Li
- Department of Neurology, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Ximing Nie
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Huihui Liu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Department of Neurology and Suzhou Clinical Research Center of Neurological Disease, the Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Jinjie Liu
- Department of General Medicine, Dalian Municipal Central Hospital Affiliated Dalian University of Technology, Dalian, China
| | - Dapeng Sun
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Interventional Neuroradiology, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yufei Wei
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Guitao Zhang
- Department of Neurology, National Clinical Research Center for Cardiovascular Diseases, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Weizhuang Yuan
- Department of Neurology, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Lina Zheng
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - Jingyi Liu
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
| | - David Wang
- Neurovascular Division, Department of Neurology, Barrow Neurological Institute, St. Joseph's Hospital and Medical Center, Phoenix, Arizona, USA
| | - Zhongrong Miao
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Interventional Neuroradiology, Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Yongjun Wang
- Department of Neurology, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- National Center for Healthcare Quality Management in Neurological Diseases, Beijing, China
- Advanced Innovation Center for Human Brain Protection, Capital Medical University, Beijing, China
| |
Collapse
|
24
|
Fainardi E, Busto G, Morotti A. Automated advanced imaging in acute ischemic stroke. Certainties and uncertainties. Eur J Radiol Open 2023; 11:100524. [PMID: 37771657 PMCID: PMC10523426 DOI: 10.1016/j.ejro.2023.100524] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Revised: 09/12/2023] [Accepted: 09/13/2023] [Indexed: 09/30/2023] Open
Abstract
The purpose of this is study was to review pearls and pitfalls of advanced imaging, such as computed tomography perfusion and diffusion-weighed imaging and perfusion-weighted imaging in the selection of acute ischemic stroke (AIS) patients suitable for endovascular treatment (EVT) in the late time window (6-24 h from symptom onset). Advanced imaging can quantify infarct core and ischemic penumbra using specific threshold values and provides optimal selection parameters, collectively called target mismatch. More precisely, target mismatch criteria consist of core volume and/or penumbra volume and mismatch ratio (the ratio between total hypoperfusion and core volumes) with precise cut-off values. The parameters of target mismatch are automatically calculated with dedicated software packages that allow a quick and standardized interpretation of advanced imaging. However, this approach has several limitations leading to a misclassification of core and penumbra volumes. In fact, automatic software platforms are affected by technical artifacts and are not interchangeable due to a remarkable vendor-dependent variability, resulting in different estimate of target mismatch parameters. In addition, advanced imaging is not completely accurate in detecting infarct core, that can be under- or overestimated. Finally, the selection of candidates for EVT remains currently suboptimal due to the high rates of futile reperfusion and overselection caused by the use of very stringent inclusion criteria. For these reasons, some investigators recently proposed to replace advanced with conventional imaging in the selection for EVT, after the demonstration that non-contrast CT ASPECTS and computed tomography angiography collateral evaluation are not inferior to advanced images in predicting outcome in AIS patients treated with EVT. However, other authors confirmed that CTP and PWI/DWI postprocessed images are superior to conventional imaging in establishing the eligibility of patients for EVT. Therefore, the routine application of automatic assessment of advanced imaging remains a matter of debate. Recent findings suggest that the combination of conventional and advanced imaging might improving our selection criteria.
Collapse
Affiliation(s)
- Enrico Fainardi
- Neuroradiology Unit, Department of Experimental and Clinical Biomedical Sciences, University of Florence, Italy
- Neuroradiology Unit, Department of Radiology, Careggi University Hospital, Florence, Italy
| | - Giorgio Busto
- Neuroradiology Unit, Department of Radiology, Careggi University Hospital, Florence, Italy
| | - Andrea Morotti
- Department of Neurological and Vision Sciences, Neurology Unit, ASST Spedali Civili, Brescia, Italy
| |
Collapse
|
25
|
Lakhani DA, Balar AB, Koneru M, Wen S, Hoseinyazdi M, Greene C, Xu R, Luna L, Caplan J, Dmytriw AA, Guenego A, Wintermark M, Gonzalez F, Urrutia V, Huang J, Nael K, Rai AT, Albers GW, Heit JJ, Yedavalli VS. The Compensation Index Is Better Associated with DSA ASITN Collateral Score Compared to the Cerebral Blood Volume Index and Hypoperfusion Intensity Ratio. J Clin Med 2023; 12:7365. [PMID: 38068416 PMCID: PMC10707013 DOI: 10.3390/jcm12237365] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2023] [Revised: 11/25/2023] [Accepted: 11/27/2023] [Indexed: 02/05/2025] Open
Abstract
BACKGROUND Pretreatment CT Perfusion (CTP) parameters serve as reliable surrogates of collateral status (CS). In this study, we aim to assess the relationship between the novel compensation index (CI, Tmax > 4 s/Tmax > 6 s) and already established CTP collateral markers, namely cerebral blood volume (CBV) index and Hypoperfusion Intensity Ratio (HIR), with the reference standard American Society of Interventional and Therapeutic Neuroradiology (ASITN) collateral score (CS) on DSA. METHODS In this retrospective study, inclusion criteria were the following: (a) CT angiography confirmed anterior circulation large vessel occlusion from 9 January 2017 to 10 January 2023; (b) diagnostic CT perfusion; and (c) underwent mechanical thrombectomy with documented DSA-CS. Student t-test, Mann-Whitney-U-test and Chi-square test were used to assess differences. Spearman's rank correlation and logistic regression analysis were used to assess associations. p ≤ 0.05 was considered significant. RESULTS In total, 223 patients (mean age: 67.8 ± 15.8, 56% female) met our inclusion criteria. The CI (ρ = 0.37, p < 0.001) and HIR (ρ = -0.29, p < 0.001) significantly correlated with DSA-CS. Whereas the CBV Index (ρ = 0.1, p > 0.05) did not correlate with DSA-CS. On multivariate logistic regression analysis taking into account age, sex, ASPECTS, tPA, premorbid mRS, NIH stroke scale, prior history of TIA, stroke, atrial fibrillation, diabetes mellitus, hyperlipidemia, heart disease and hypertension, only CI was not found to be independently associated with DSA-CS (adjusted OR = 1.387, 95% CI: 1.09-1.77, p < 0.01). CONCLUSION CI demonstrates a stronger correlation with DSA-CS compared to both the HIR and CBV Index where it may show promise as an additional quantitative pretreatment CS biomarker.
Collapse
Affiliation(s)
- Dhairya A. Lakhani
- Department of Radiology and Radiological Sciences, Johns Hopkins University, Baltimore, MD 21218, USA (M.H.); (V.S.Y.)
| | - Aneri B. Balar
- Department of Radiology and Radiological Sciences, Johns Hopkins University, Baltimore, MD 21218, USA (M.H.); (V.S.Y.)
| | - Manisha Koneru
- Cooper Medical School, Rowan University, Camden, NJ 08028, USA
| | - Sijin Wen
- Department of Biostatistics, West Virginia University, Morgantown, WV 26506, USA
| | - Meisam Hoseinyazdi
- Department of Radiology and Radiological Sciences, Johns Hopkins University, Baltimore, MD 21218, USA (M.H.); (V.S.Y.)
| | - Cynthia Greene
- Department of Radiology and Radiological Sciences, Johns Hopkins University, Baltimore, MD 21218, USA (M.H.); (V.S.Y.)
| | - Risheng Xu
- Department of Neurosurgery, Johns Hopkins University, Baltimore, MD 21218, USA (J.C.); (F.G.)
| | - Licia Luna
- Department of Radiology and Radiological Sciences, Johns Hopkins University, Baltimore, MD 21218, USA (M.H.); (V.S.Y.)
| | - Justin Caplan
- Department of Neurosurgery, Johns Hopkins University, Baltimore, MD 21218, USA (J.C.); (F.G.)
| | - Adam A. Dmytriw
- Department of Radiology, Harvard Medical School, Boston, MA 02115, USA
| | - Adrien Guenego
- Department of Radiology, Université Libre De Bruxelles Hospital Erasme, 1070 Anderlecht, Belgium
| | - Max Wintermark
- Department of Radiology, University of Texas, MD Anderson Center, Houston, TX 77030, USA
| | - Fernando Gonzalez
- Department of Neurosurgery, Johns Hopkins University, Baltimore, MD 21218, USA (J.C.); (F.G.)
| | - Victor Urrutia
- Department of Neurology, Johns Hopkins University, Baltimore, MD 21218, USA
| | - Judy Huang
- Department of Neurosurgery, Johns Hopkins University, Baltimore, MD 21218, USA (J.C.); (F.G.)
| | - Kambiz Nael
- Division of Neuroradiology, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA 90095, USA
| | - Ansaar T. Rai
- Department of Radiology, West Virginia University, Morgantown, WV 26506, USA
| | - Gregory W. Albers
- Department of Radiology, Stanford University School of Medicine, Stanford, CA 94063, USA (J.J.H.)
| | - Jeremy J. Heit
- Department of Radiology, Stanford University School of Medicine, Stanford, CA 94063, USA (J.J.H.)
| | - Vivek S. Yedavalli
- Department of Radiology and Radiological Sciences, Johns Hopkins University, Baltimore, MD 21218, USA (M.H.); (V.S.Y.)
| |
Collapse
|
26
|
Zhang Q, Yang S, Cheng XD, Sun H, Li BH, Yu NW. Cerebral blood volume index can predict the long-term prognosis after endovascular thrombectomy in patients with acute ischemic stroke due to large vessel occlusion. J Clin Neurosci 2023; 117:120-124. [PMID: 37801876 DOI: 10.1016/j.jocn.2023.09.030] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2023] [Revised: 09/13/2023] [Accepted: 09/29/2023] [Indexed: 10/08/2023]
Abstract
Long-term prognosis and factors influencing endovascular therapy (EVT) remain unclear. This study aimed to investigate the association between computed tomography perfusion (CTP) parameters and long-term prognosis of patients with acute ischemic stroke (AIS) treated with EVT. Patients with AIS due to large vessel occlusion treated with EVT were prospectively included for a 1-year follow-up. All patients and their data were grouped based on the hypoperfusion intensity ratio (HIR, <0.3 vs. ≥ 0.3) and cerebral blood volume (CBV) index (>0.7 vs. ≤ 0.7). The primary outcome was favorable prognosis, defined as a modified Rankin Scale (mRS) score of 0-2. Multivariate logistic regression was used to analyze factors influencing long-term favorable prognosis. Of 69 patients included, 35 (50.7 %) achieved mRS 0-2 at one year. A favorable prognosis was observed predominantly in patients with higher CBV index (75.0 % vs. 34.1 %, p= 0.001) and lower HIR (72.0 % vs. 38.6 %, p=0.008). In the multivariate logistic regression, CBV index (odds ratio (OR) = 4.362; 95 % confidence interval (CI): 1.052, 18.082; p = 0.042), baseline National Institutes of Health Stroke Scale (NIHSS) score (OR = 0.913; 95 % CI: 0.836, 0.997; p = 0.044), and symptomatic intracranial hemorrhage (sICH) (OR = 0.089; 95 % CI: 0.009, 0.925; p = 0.043) were independently associated with a long-term favorable prognosis. The CBV index may serve as a predictor of the long-term prognosis of patients treated with EVT. The novel finding is that the baseline NIHSS score and sICH were associated with long-term prognosis.
Collapse
Affiliation(s)
- Qi Zhang
- School of Clinical Medicine, University of Electronic Science and Technology of China, Chengdu 610054, China; Department of Neurology, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, The Afliated Hospital of University of Electronic Science and Technology of China, Chengdu 610072, China
| | - Shu Yang
- Department of Neurology, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, The Afliated Hospital of University of Electronic Science and Technology of China, Chengdu 610072, China
| | - Xu-Dong Cheng
- Department of Neurology, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, The Afliated Hospital of University of Electronic Science and Technology of China, Chengdu 610072, China
| | - Hui Sun
- Department of Emergency, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, The Afliated Hospital of University of Electronic Science and Technology of China, Chengdu 610072, China
| | - Bing-Hu Li
- Department of Neurology, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, The Afliated Hospital of University of Electronic Science and Technology of China, Chengdu 610072, China.
| | - Neng-Wei Yu
- School of Clinical Medicine, University of Electronic Science and Technology of China, Chengdu 610054, China; Department of Neurology, Sichuan Academy of Medical Sciences and Sichuan Provincial People's Hospital, The Afliated Hospital of University of Electronic Science and Technology of China, Chengdu 610072, China.
| |
Collapse
|
27
|
Karamchandani RR, Satyanarayana S, Yang H, Strong D, Rhoten JB, Clemente JD, Defilipp G, Patel NM, Bernard JD, Stetler WR, Parish JM, Guzik AK, Wolfe SQ, Helms AM, Macko L, Williams L, Retelski J, Asimos AW. The Charlotte Large artery occlusion Endovascular therapy Outcome Score predicts independent outcome after thrombectomy. J Neuroimaging 2023; 33:960-967. [PMID: 37664972 DOI: 10.1111/jon.13151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/24/2023] [Revised: 08/25/2023] [Accepted: 08/25/2023] [Indexed: 09/05/2023] Open
Abstract
BACKGROUND AND PURPOSE Predicting functional outcomes after endovascular thrombectomy (EVT) is of interest to patients and families as they navigate hospital and post-acute care decision-making. We evaluated the prognostic ability of several scales to predict good neurological function after EVT. METHODS We retrospectively analyzed records from a health system's code stroke registry, including consecutive successful thrombectomy patients from August 2020 to February 2023 presenting with an anterior circulation large vessel occlusion who were evaluated with pre-EVT CT perfusion. Primary and secondary outcomes were 90-day modified Rankin Scale (mRS) scores 0-2 and 0-1, respectively. Logistic regression was performed to evaluate the ability of each scale to predict the outcomes. Scales were compared by calculating the area under the curve (AUC). RESULTS A total of 465 patients (mean age 68.1 [±14.9] years, median National Institutes of Health Stroke Scale [NIHSS] 16 [11-21]) met inclusion criteria. In the logistic regression, the Charlotte Large artery occlusion Endovascular therapy Outcome Score (CLEOS), Totaled Health Risks in Vascular Events, Houston Intra-Arterial Therapy-2, Pittsburgh Response to Endovascular therapy, and Stroke Prognostication using Age and NIHSS were significant in predicting the primary and secondary outcomes. CLEOS was superior to all other scales in predicting 90-day mRS 0-2 (AUC .75, 95% confidence interval [CI] .70-.80) and mRS 0-1 (AUC .74, 95% CI .69-.78). Twenty of 22 patients (90.9%) with CLEOS <315 had 90-day mRS 0-2. CONCLUSIONS CLEOS predicts independent and excellent neurological function after anterior circulation EVT.
Collapse
Affiliation(s)
- Rahul R Karamchandani
- Department of Neurology, Neurosciences Institute, Atrium Health, Charlotte, North Carolina, USA
| | - Sagar Satyanarayana
- Information and Analytics Services, Atrium Health, Charlotte, North Carolina, USA
| | - Hongmei Yang
- Information and Analytics Services, Atrium Health, Charlotte, North Carolina, USA
| | - Dale Strong
- Information and Analytics Services, Atrium Health, Charlotte, North Carolina, USA
| | - Jeremy B Rhoten
- Department of Neurology, Neurosciences Institute, Atrium Health, Charlotte, North Carolina, USA
| | - Jonathan D Clemente
- Charlotte Radiology, Neurosciences Institute, Atrium Health, Charlotte, North Carolina, USA
| | - Gary Defilipp
- Charlotte Radiology, Neurosciences Institute, Atrium Health, Charlotte, North Carolina, USA
| | - Nikhil M Patel
- Department of Internal Medicine, Pulmonary and Critical Care, Neurosciences Institute, Atrium Health, Charlotte, North Carolina, USA
| | - Joe D Bernard
- Carolina Neurosurgery and Spine Associates, Neurosciences Institute, Atrium Health, Charlotte, North Carolina, USA
| | - William R Stetler
- Carolina Neurosurgery and Spine Associates, Neurosciences Institute, Atrium Health, Charlotte, North Carolina, USA
| | - Jonathan M Parish
- Carolina Neurosurgery and Spine Associates, Neurosciences Institute, Atrium Health, Charlotte, North Carolina, USA
| | - Amy K Guzik
- Department of Neurology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Stacey Q Wolfe
- Department of Neurological Surgery, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA
| | - Anna Maria Helms
- Department of Neurology, Neurosciences Institute, Atrium Health, Charlotte, North Carolina, USA
| | - Lauren Macko
- Department of Neurology, Neurosciences Institute, Atrium Health, Charlotte, North Carolina, USA
| | - Laura Williams
- Department of Neurology, Neurosciences Institute, Atrium Health, Charlotte, North Carolina, USA
| | - Julia Retelski
- Department of Neurology, Neurosciences Institute, Atrium Health, Charlotte, North Carolina, USA
| | - Andrew W Asimos
- Department of Emergency Medicine, Neurosciences Institute, Atrium Health, Charlotte, North Carolina, USA
| |
Collapse
|
28
|
Ballout AA, Oh SY, Huang B, Patsalides A, Libman RB. Ghost infarct core: A systematic review of the frequency, magnitude, and variables of CT perfusion overestimation. J Neuroimaging 2023; 33:716-724. [PMID: 37248074 DOI: 10.1111/jon.13127] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2023] [Revised: 05/16/2023] [Accepted: 05/18/2023] [Indexed: 05/31/2023] Open
Abstract
BACKGROUND AND PURPOSE CT perfusion (CTP) imaging is now widely used to select patients with large vessel occlusions for mechanical thrombectomy. Ghost infarct core (GIC) phenomenon has been coined to describe CTP core overestimation and has been investigated in several retrospective studies. Our aim is to review the frequency, magnitude, and variables associated with this phenomenon. METHODS A primary literature search resulted in eight studies documenting median time from symptom onset to CTP, median estimated core size, median final infarct volume, median core overestimation of the GIC population, recanalization rates, good outcomes, and collateral status for this systematic review. RESULTS All the studies investigated patients who underwent CTP within 6 hours of symptom onset, ranging from median times of 105 to 309 minutes. The frequency of core overestimation varied from 6% to 58.4%, while the median estimated ischemic core and final infarction volume ranged from 7 to 27 mL and 12 to 31 mL, respectively. The median core overestimation ranged from 3.6 to 30 mL with upper quartile ranges up to 58 mL. GIC was found to be a highly time-and-collateral-dependent process that increases in frequency and magnitude as the time from symptom onset to imaging decreases and in the presence of poor collaterals. CONCLUSIONS CTP ischemic core overestimation appears to be a relatively common phenomenon that is most frequent in patients with poor collaterals imaged within the acute time window. Early perfusion imaging should be interpreted with caution to prevent the inadvertent exclusion of patients from highly effective reperfusion therapies.
Collapse
Affiliation(s)
- Ahmad A Ballout
- Department of Neurology, Zucker School of Medicine at Hofstra/Northwell, Manhasset, New York, USA
| | - Seok Yoon Oh
- Department of Neurology, Zucker School of Medicine at Hofstra/Northwell, Manhasset, New York, USA
| | - Brendan Huang
- Department of Neurology, Zucker School of Medicine at Hofstra/Northwell, Manhasset, New York, USA
| | - Athos Patsalides
- Department of Neurosurgery, Zucker School of Medicine at Hofstra/Northwell, Manhasset, New York, USA
| | - Richard B Libman
- Department of Neurology, Zucker School of Medicine at Hofstra/Northwell, Manhasset, New York, USA
| |
Collapse
|
29
|
Bathla G, Ajmera P, Mehta PM, Benson JC, Derdeyn CP, Lanzino G, Agarwal A, Brinjikji W. Advances in Acute Ischemic Stroke Treatment: Current Status and Future Directions. AJNR Am J Neuroradiol 2023; 44:750-758. [PMID: 37202115 PMCID: PMC10337623 DOI: 10.3174/ajnr.a7872] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2023] [Accepted: 04/03/2023] [Indexed: 05/20/2023]
Abstract
The management of acute ischemic stroke has undergone a paradigm shift in the past decade. This has been spearheaded by the emergence of endovascular thrombectomy, along with advances in medical therapy, imaging, and other facets of stroke care. Herein, we present an updated review of the various stroke trials that have impacted and continue to transform stroke management. It is critical for the radiologist to stay abreast of the ongoing developments to provide meaningful input and remain a useful part of the stroke team.
Collapse
Affiliation(s)
- G Bathla
- From the Department of Radiology (G.B., P.M.M., J.C.B., G.L., W.B.), Mayo Clinic, Rochester, Minnesota
| | - P Ajmera
- Department of Radiology (P.A.), University College of Medical Sciences, Delhi, India
| | - P M Mehta
- From the Department of Radiology (G.B., P.M.M., J.C.B., G.L., W.B.), Mayo Clinic, Rochester, Minnesota
| | - J C Benson
- From the Department of Radiology (G.B., P.M.M., J.C.B., G.L., W.B.), Mayo Clinic, Rochester, Minnesota
| | - C P Derdeyn
- Department of Radiology (C.P.D.), University of Iowa Hospitals and Clinics, Iowa City, Iowa
| | - G Lanzino
- From the Department of Radiology (G.B., P.M.M., J.C.B., G.L., W.B.), Mayo Clinic, Rochester, Minnesota
| | - A Agarwal
- Department of Radiology (A.A.), Mayo Clinic, Jacksonville, Florida
| | - W Brinjikji
- From the Department of Radiology (G.B., P.M.M., J.C.B., G.L., W.B.), Mayo Clinic, Rochester, Minnesota
| |
Collapse
|
30
|
Abousrafa SE, Mair G. MRI for collateral assessment pre-thrombectomy and association with outcome: a systematic review and meta-analysis. Neuroradiology 2023; 65:1001-1014. [PMID: 36847834 PMCID: PMC10169893 DOI: 10.1007/s00234-023-03127-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/01/2022] [Accepted: 01/30/2023] [Indexed: 03/01/2023]
Abstract
PURPOSE Various neuroimaging methods exist to assess the collateral circulation in stroke patients but much of the evidence is based on computed tomography. Our aim was to review the evidence for using magnetic resonance imaging for collateral status evaluation pre-thrombectomy and assess the impact of these methods on functional independence. METHODS We systematically reviewed EMBASE and MEDLINE for studies that evaluated baseline collaterals using MRI pre-thrombectomy and conducted a meta-analysis to express the relationship between good collaterals (defined variably as the presence [good] vs absence [poor] or quality [ordinal scores binarized as good-moderate vs poor] of collaterals) and functional independence (modified Rankin score mRS≤2) at 90 days. Outcome data were presented as relative risk (RR, 95% confidence interval, 95%CI). We assessed for study heterogeneity, publication bias, and conducted subgroup analyses of different MRI methods and affected arterial territories. RESULTS From 497 studies identified, we included 24 (1957 patients) for the qualitative synthesis, and 6 (479 patients) for the metanalysis. Good pre-thrombectomy collaterals were significantly associated with favorable outcome at 90 days (RR=1.91, 95%CI=1.36-2.68], p= 0.0002) with no difference between MRI methods and affected arterial territory subgroups. There was no evidence of statistical heterogeneity (I2=25%) among studies but there was evidence of publication bias. CONCLUSION In stroke patients treated with thrombectomy, good pre-treatment collaterals assessed using MRI are associated with double the rate of functional independence. However, we found evidence that relevant MR methods are heterogenous and under-reported. Greater standardization and clinical validation of MRI for collateral evaluation pre-thrombectomy are required.
Collapse
Affiliation(s)
| | - Grant Mair
- Centre for Clinical Brain Sciences, Chancellor's Building, University of Edinburgh, 49 Little France Crescent, Edinburgh, EH16 4SB, UK.
| |
Collapse
|
31
|
Arthur KC, Huang S, Gudenkauf JC, Mohseni A, Wang R, Aslan A, Nabi M, Hoseinyazdi M, Johnson B, Patel N, Urrutia VC, Yedavalli V. Assessing the Relationship between LAMS and CT Perfusion Parameters in Acute Ischemic Stroke Secondary to Large Vessel Occlusion. J Clin Med 2023; 12:jcm12103374. [PMID: 37240480 DOI: 10.3390/jcm12103374] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/14/2023] [Revised: 05/03/2023] [Accepted: 05/06/2023] [Indexed: 05/28/2023] Open
Abstract
BACKGROUND The Los Angeles Motor Scale (LAMS) is a rapid pre-hospital scale used to predict stroke severity which has also been shown to accurately predict large vessel occlusions (LVOs). However, to date there is no study exploring whether LAMS correlates with the computed tomography perfusion (CTP) parameters in LVOs. METHODS Patients with LVO between September 2019 and October 2021 were retrospectively reviewed and included if the CTP data and admission neurologic exams were available. The LAMS was documented based on emergency personnel exams or scored retrospectively using an admission neurologic exam. The CTP data was processed by RAPID (IschemaView, Menlo Park, CA, USA) with an ischemic core volume (relative cerebral blood flow [rCBF] < 30%), time-to-maximum (Tmax) volume (Tmax > 6 s delay), hypoperfusion index (HI), and cerebral blood volume (CBV) index. Spearman's correlations were performed between the LAMS and CTP parameters. RESULTS A total of 85 patients were included, of which there were 9 intracranial internal carotid artery (ICA), 53 proximal M1 branch middle cerebral artery M1, and 23 proximal M2 branch occlusions. Overall, 26 patients had LAMS 0-3, and 59 had LAMS 4-5. In total, LAMS positively correlated with CBF < 30% (Correlation Coefficient (CC): 0.32, p < 0.01), Tmax > 6 s (CC:0.23, p < 0.04), HI (CC:0.27, p < 0.01), and negatively correlated with the CBV index (CC:-0.24, p < 0.05). The relationships between LAMS and CBF were < 30% and the HI was more pronounced in M1 occlusions (CC:0.42, p < 0.01; 0.34, p < 0.01 respectively) and proximal M2 occlusions (CC:0.53, p < 0.01; 0.48, p < 0.03 respectively). The LAMS also correlated with a Tmax > 6 s in M1 occlusions (CC:0.42, p < 0.01), and negatively correlated with the CBV index in M2 occlusions (CC:-0.69, p < 0.01). There were no significant correlations between the LAMS and intracranial ICA occlusions. CONCLUSIONS The results of our preliminary study indicate that the LAMS is positively correlated with the estimated ischemic core, perfusion deficit, and HI, and negatively correlated with the CBV index in patients with anterior circulation LVO, with stronger relationships in the M1 and M2 occlusions. This is the first study showing that the LAMS may be correlated with the collateral status and estimated ischemic core in patients with LVO.
Collapse
Affiliation(s)
- Karissa C Arthur
- Department of Neurology, Virginia Commonwealth University, Richmond, VA 23298, USA
| | - Shenwen Huang
- Department of Neurology, Johns Hopkins University, Baltimore, MD 21287, USA
| | - Julie C Gudenkauf
- Department of Neurology, Johns Hopkins University, Baltimore, MD 21287, USA
| | - Alireza Mohseni
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Richard Wang
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Alperen Aslan
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Mehreen Nabi
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Meisam Hoseinyazdi
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| | - Brenda Johnson
- Department of Neurology, Johns Hopkins University, Baltimore, MD 21287, USA
| | - Navangi Patel
- Department of Neurology, Johns Hopkins University, Baltimore, MD 21287, USA
| | - Victor C Urrutia
- Department of Neurology, Johns Hopkins University, Baltimore, MD 21287, USA
| | - Vivek Yedavalli
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins University School of Medicine, Baltimore, MD 21287, USA
| |
Collapse
|
32
|
Lee S, Mlynash M, Christensen S, Jiang B, Wintermark M, Sträter R, Broocks G, Grams A, Nikoubashman O, Morotti A, Trenkler J, Möhlenbruch M, Fiehler J, Wildgruber M, Kemmling A, Psychogios M, Sporns PB. Hyperacute Perfusion Imaging Before Pediatric Thrombectomy: Analysis of the Save ChildS Study. Neurology 2023; 100:e1148-e1158. [PMID: 36543574 PMCID: PMC10074461 DOI: 10.1212/wnl.0000000000201687] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2022] [Accepted: 10/27/2022] [Indexed: 12/24/2022] Open
Abstract
BACKGROUND AND OBJECTIVES Perfusion imaging can identify adult patients with salvageable brain tissue who would benefit from thrombectomy in later time windows. The feasibility of obtaining hyperacute perfusion sequences in pediatric stroke is unknown. The aim of this study was to determine whether contrast perfusion imaging delayed time to treatment and to assess perfusion profiles in children with large vessel occlusion stroke. METHODS The Save ChildS retrospective cohort study (January 2000-December 2018) enrolled children (1 month-18 years) with stroke who underwent thrombectomy from 27 European and U.S. stroke centers. This secondary analysis included patients with anterior circulation occlusion and available imaging for direct review by the neuroimaging core laboratory. Between-group comparisons were performed using the Wilcoxon rank-sum exact test for continuous variables or Fisher exact test for binary variables. Given the small number of patients, evaluation of perfusion imaging parameters was performed descriptively only. RESULTS Of 33 patients with available neuroimaging, 15 (45.4%) underwent perfusion (CT perfusion n = 6; MR perfusion n = 9); all were technically adequate. The median time from onset to recanalization did not differ between groups {4 hours (interquartile range [IQR] 4-7.5) perfusion+; 3.4 hours (IQR 2.5-6.5) perfusion-, p = 0.158}. Target mismatch criteria were met by 10/15 (66.7%) patients and did not correlate with reperfusion status or functional outcome. The hypoperfusion intensity ratio (HIR) was favorable in 11/15 patients and correlated with older age but not NIHSS, time to recanalization, or stroke etiology. Favorable HIR was associated with better functional outcome at 6 months (Pediatric Stroke Outcome Measure 1.0 [IQR 0.5-2.0] vs 2.0 [1.5-3.0], p = 0.026) and modified Rankin Scale 1.0 [0-1] vs 2.0 [1.5-3.5], p = 0.048) in this small sample. DISCUSSION Automated perfusion imaging is feasible to obtain acutely in children and does not delay time to recanalization. Larger prospective studies are needed to determine biomarkers of favorable outcome in pediatric ischemic stroke and to establish core and penumbral thresholds in children.
Collapse
Affiliation(s)
- Sarah Lee
- From the Department of Neurology and Neurological Sciences (S.L., M.M., S.C.), Stanford Stroke Center, Stanford University School of Medicine, CA; Division of Child Neurology (S.L.), Department of Neurology and Neurological Sciences, Stanford University School of Medicine, CA; Division of Neuroradiology (B.J.), Department of Radiology, Stanford University School of Medicine, CA; Department of Neuroradiology (M.W.), University of Texas MD Anderson, Houston, TX; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F.), University Medical Center Hamburg-Eppendorf, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (O.N.), RWTH Aachen University, Germany; Department of Neurological Sciences and Vision (A.M.), Neurology Unit, ASST Spedali Civili, Brescia, Italy; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M.M.), Heidelberg University Hospital; Department of Radiology (M.W.), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology and Nuclear Medicine, University Hospital Basel, Switzerland.
| | - Michael Mlynash
- From the Department of Neurology and Neurological Sciences (S.L., M.M., S.C.), Stanford Stroke Center, Stanford University School of Medicine, CA; Division of Child Neurology (S.L.), Department of Neurology and Neurological Sciences, Stanford University School of Medicine, CA; Division of Neuroradiology (B.J.), Department of Radiology, Stanford University School of Medicine, CA; Department of Neuroradiology (M.W.), University of Texas MD Anderson, Houston, TX; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F.), University Medical Center Hamburg-Eppendorf, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (O.N.), RWTH Aachen University, Germany; Department of Neurological Sciences and Vision (A.M.), Neurology Unit, ASST Spedali Civili, Brescia, Italy; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M.M.), Heidelberg University Hospital; Department of Radiology (M.W.), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology and Nuclear Medicine, University Hospital Basel, Switzerland
| | - Soren Christensen
- From the Department of Neurology and Neurological Sciences (S.L., M.M., S.C.), Stanford Stroke Center, Stanford University School of Medicine, CA; Division of Child Neurology (S.L.), Department of Neurology and Neurological Sciences, Stanford University School of Medicine, CA; Division of Neuroradiology (B.J.), Department of Radiology, Stanford University School of Medicine, CA; Department of Neuroradiology (M.W.), University of Texas MD Anderson, Houston, TX; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F.), University Medical Center Hamburg-Eppendorf, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (O.N.), RWTH Aachen University, Germany; Department of Neurological Sciences and Vision (A.M.), Neurology Unit, ASST Spedali Civili, Brescia, Italy; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M.M.), Heidelberg University Hospital; Department of Radiology (M.W.), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology and Nuclear Medicine, University Hospital Basel, Switzerland
| | - Bin Jiang
- From the Department of Neurology and Neurological Sciences (S.L., M.M., S.C.), Stanford Stroke Center, Stanford University School of Medicine, CA; Division of Child Neurology (S.L.), Department of Neurology and Neurological Sciences, Stanford University School of Medicine, CA; Division of Neuroradiology (B.J.), Department of Radiology, Stanford University School of Medicine, CA; Department of Neuroradiology (M.W.), University of Texas MD Anderson, Houston, TX; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F.), University Medical Center Hamburg-Eppendorf, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (O.N.), RWTH Aachen University, Germany; Department of Neurological Sciences and Vision (A.M.), Neurology Unit, ASST Spedali Civili, Brescia, Italy; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M.M.), Heidelberg University Hospital; Department of Radiology (M.W.), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology and Nuclear Medicine, University Hospital Basel, Switzerland
| | - Max Wintermark
- From the Department of Neurology and Neurological Sciences (S.L., M.M., S.C.), Stanford Stroke Center, Stanford University School of Medicine, CA; Division of Child Neurology (S.L.), Department of Neurology and Neurological Sciences, Stanford University School of Medicine, CA; Division of Neuroradiology (B.J.), Department of Radiology, Stanford University School of Medicine, CA; Department of Neuroradiology (M.W.), University of Texas MD Anderson, Houston, TX; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F.), University Medical Center Hamburg-Eppendorf, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (O.N.), RWTH Aachen University, Germany; Department of Neurological Sciences and Vision (A.M.), Neurology Unit, ASST Spedali Civili, Brescia, Italy; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M.M.), Heidelberg University Hospital; Department of Radiology (M.W.), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology and Nuclear Medicine, University Hospital Basel, Switzerland
| | - Ronald Sträter
- From the Department of Neurology and Neurological Sciences (S.L., M.M., S.C.), Stanford Stroke Center, Stanford University School of Medicine, CA; Division of Child Neurology (S.L.), Department of Neurology and Neurological Sciences, Stanford University School of Medicine, CA; Division of Neuroradiology (B.J.), Department of Radiology, Stanford University School of Medicine, CA; Department of Neuroradiology (M.W.), University of Texas MD Anderson, Houston, TX; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F.), University Medical Center Hamburg-Eppendorf, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (O.N.), RWTH Aachen University, Germany; Department of Neurological Sciences and Vision (A.M.), Neurology Unit, ASST Spedali Civili, Brescia, Italy; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M.M.), Heidelberg University Hospital; Department of Radiology (M.W.), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology and Nuclear Medicine, University Hospital Basel, Switzerland
| | - Gabriel Broocks
- From the Department of Neurology and Neurological Sciences (S.L., M.M., S.C.), Stanford Stroke Center, Stanford University School of Medicine, CA; Division of Child Neurology (S.L.), Department of Neurology and Neurological Sciences, Stanford University School of Medicine, CA; Division of Neuroradiology (B.J.), Department of Radiology, Stanford University School of Medicine, CA; Department of Neuroradiology (M.W.), University of Texas MD Anderson, Houston, TX; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F.), University Medical Center Hamburg-Eppendorf, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (O.N.), RWTH Aachen University, Germany; Department of Neurological Sciences and Vision (A.M.), Neurology Unit, ASST Spedali Civili, Brescia, Italy; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M.M.), Heidelberg University Hospital; Department of Radiology (M.W.), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology and Nuclear Medicine, University Hospital Basel, Switzerland
| | - Astrid Grams
- From the Department of Neurology and Neurological Sciences (S.L., M.M., S.C.), Stanford Stroke Center, Stanford University School of Medicine, CA; Division of Child Neurology (S.L.), Department of Neurology and Neurological Sciences, Stanford University School of Medicine, CA; Division of Neuroradiology (B.J.), Department of Radiology, Stanford University School of Medicine, CA; Department of Neuroradiology (M.W.), University of Texas MD Anderson, Houston, TX; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F.), University Medical Center Hamburg-Eppendorf, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (O.N.), RWTH Aachen University, Germany; Department of Neurological Sciences and Vision (A.M.), Neurology Unit, ASST Spedali Civili, Brescia, Italy; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M.M.), Heidelberg University Hospital; Department of Radiology (M.W.), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology and Nuclear Medicine, University Hospital Basel, Switzerland
| | - Omid Nikoubashman
- From the Department of Neurology and Neurological Sciences (S.L., M.M., S.C.), Stanford Stroke Center, Stanford University School of Medicine, CA; Division of Child Neurology (S.L.), Department of Neurology and Neurological Sciences, Stanford University School of Medicine, CA; Division of Neuroradiology (B.J.), Department of Radiology, Stanford University School of Medicine, CA; Department of Neuroradiology (M.W.), University of Texas MD Anderson, Houston, TX; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F.), University Medical Center Hamburg-Eppendorf, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (O.N.), RWTH Aachen University, Germany; Department of Neurological Sciences and Vision (A.M.), Neurology Unit, ASST Spedali Civili, Brescia, Italy; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M.M.), Heidelberg University Hospital; Department of Radiology (M.W.), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology and Nuclear Medicine, University Hospital Basel, Switzerland
| | - Andrea Morotti
- From the Department of Neurology and Neurological Sciences (S.L., M.M., S.C.), Stanford Stroke Center, Stanford University School of Medicine, CA; Division of Child Neurology (S.L.), Department of Neurology and Neurological Sciences, Stanford University School of Medicine, CA; Division of Neuroradiology (B.J.), Department of Radiology, Stanford University School of Medicine, CA; Department of Neuroradiology (M.W.), University of Texas MD Anderson, Houston, TX; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F.), University Medical Center Hamburg-Eppendorf, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (O.N.), RWTH Aachen University, Germany; Department of Neurological Sciences and Vision (A.M.), Neurology Unit, ASST Spedali Civili, Brescia, Italy; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M.M.), Heidelberg University Hospital; Department of Radiology (M.W.), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology and Nuclear Medicine, University Hospital Basel, Switzerland
| | - Johannes Trenkler
- From the Department of Neurology and Neurological Sciences (S.L., M.M., S.C.), Stanford Stroke Center, Stanford University School of Medicine, CA; Division of Child Neurology (S.L.), Department of Neurology and Neurological Sciences, Stanford University School of Medicine, CA; Division of Neuroradiology (B.J.), Department of Radiology, Stanford University School of Medicine, CA; Department of Neuroradiology (M.W.), University of Texas MD Anderson, Houston, TX; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F.), University Medical Center Hamburg-Eppendorf, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (O.N.), RWTH Aachen University, Germany; Department of Neurological Sciences and Vision (A.M.), Neurology Unit, ASST Spedali Civili, Brescia, Italy; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M.M.), Heidelberg University Hospital; Department of Radiology (M.W.), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology and Nuclear Medicine, University Hospital Basel, Switzerland
| | - Markus Möhlenbruch
- From the Department of Neurology and Neurological Sciences (S.L., M.M., S.C.), Stanford Stroke Center, Stanford University School of Medicine, CA; Division of Child Neurology (S.L.), Department of Neurology and Neurological Sciences, Stanford University School of Medicine, CA; Division of Neuroradiology (B.J.), Department of Radiology, Stanford University School of Medicine, CA; Department of Neuroradiology (M.W.), University of Texas MD Anderson, Houston, TX; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F.), University Medical Center Hamburg-Eppendorf, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (O.N.), RWTH Aachen University, Germany; Department of Neurological Sciences and Vision (A.M.), Neurology Unit, ASST Spedali Civili, Brescia, Italy; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M.M.), Heidelberg University Hospital; Department of Radiology (M.W.), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology and Nuclear Medicine, University Hospital Basel, Switzerland
| | - Jens Fiehler
- From the Department of Neurology and Neurological Sciences (S.L., M.M., S.C.), Stanford Stroke Center, Stanford University School of Medicine, CA; Division of Child Neurology (S.L.), Department of Neurology and Neurological Sciences, Stanford University School of Medicine, CA; Division of Neuroradiology (B.J.), Department of Radiology, Stanford University School of Medicine, CA; Department of Neuroradiology (M.W.), University of Texas MD Anderson, Houston, TX; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F.), University Medical Center Hamburg-Eppendorf, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (O.N.), RWTH Aachen University, Germany; Department of Neurological Sciences and Vision (A.M.), Neurology Unit, ASST Spedali Civili, Brescia, Italy; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M.M.), Heidelberg University Hospital; Department of Radiology (M.W.), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology and Nuclear Medicine, University Hospital Basel, Switzerland
| | - Moritz Wildgruber
- From the Department of Neurology and Neurological Sciences (S.L., M.M., S.C.), Stanford Stroke Center, Stanford University School of Medicine, CA; Division of Child Neurology (S.L.), Department of Neurology and Neurological Sciences, Stanford University School of Medicine, CA; Division of Neuroradiology (B.J.), Department of Radiology, Stanford University School of Medicine, CA; Department of Neuroradiology (M.W.), University of Texas MD Anderson, Houston, TX; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F.), University Medical Center Hamburg-Eppendorf, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (O.N.), RWTH Aachen University, Germany; Department of Neurological Sciences and Vision (A.M.), Neurology Unit, ASST Spedali Civili, Brescia, Italy; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M.M.), Heidelberg University Hospital; Department of Radiology (M.W.), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology and Nuclear Medicine, University Hospital Basel, Switzerland
| | - Andre Kemmling
- From the Department of Neurology and Neurological Sciences (S.L., M.M., S.C.), Stanford Stroke Center, Stanford University School of Medicine, CA; Division of Child Neurology (S.L.), Department of Neurology and Neurological Sciences, Stanford University School of Medicine, CA; Division of Neuroradiology (B.J.), Department of Radiology, Stanford University School of Medicine, CA; Department of Neuroradiology (M.W.), University of Texas MD Anderson, Houston, TX; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F.), University Medical Center Hamburg-Eppendorf, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (O.N.), RWTH Aachen University, Germany; Department of Neurological Sciences and Vision (A.M.), Neurology Unit, ASST Spedali Civili, Brescia, Italy; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M.M.), Heidelberg University Hospital; Department of Radiology (M.W.), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology and Nuclear Medicine, University Hospital Basel, Switzerland
| | - Marios Psychogios
- From the Department of Neurology and Neurological Sciences (S.L., M.M., S.C.), Stanford Stroke Center, Stanford University School of Medicine, CA; Division of Child Neurology (S.L.), Department of Neurology and Neurological Sciences, Stanford University School of Medicine, CA; Division of Neuroradiology (B.J.), Department of Radiology, Stanford University School of Medicine, CA; Department of Neuroradiology (M.W.), University of Texas MD Anderson, Houston, TX; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F.), University Medical Center Hamburg-Eppendorf, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (O.N.), RWTH Aachen University, Germany; Department of Neurological Sciences and Vision (A.M.), Neurology Unit, ASST Spedali Civili, Brescia, Italy; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M.M.), Heidelberg University Hospital; Department of Radiology (M.W.), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology and Nuclear Medicine, University Hospital Basel, Switzerland
| | - Peter B Sporns
- From the Department of Neurology and Neurological Sciences (S.L., M.M., S.C.), Stanford Stroke Center, Stanford University School of Medicine, CA; Division of Child Neurology (S.L.), Department of Neurology and Neurological Sciences, Stanford University School of Medicine, CA; Division of Neuroradiology (B.J.), Department of Radiology, Stanford University School of Medicine, CA; Department of Neuroradiology (M.W.), University of Texas MD Anderson, Houston, TX; Department of Pediatrics (R.S.), University Hospital of Muenster; Department of Diagnostic and Interventional Neuroradiology (G.B., J.F.), University Medical Center Hamburg-Eppendorf, Germany; Department of Neuroradiology (A.G.), Medical University of Innsbruck, Austria; Department of Neuroradiology (O.N.), RWTH Aachen University, Germany; Department of Neurological Sciences and Vision (A.M.), Neurology Unit, ASST Spedali Civili, Brescia, Italy; Department of Neuroradiology (J.T.), Kepler University Hospital, Johannes Kepler University Linz, Austria; Department of Neuroradiology (M.M.), Heidelberg University Hospital; Department of Radiology (M.W.), University Hospital, LMU Munich; Department of Neuroradiology (A.K.), Marburg University Hospital, Germany; Department of Neuroradiology (M.P., P.B.S.), Clinic for Radiology and Nuclear Medicine, University Hospital Basel, Switzerland
| |
Collapse
|
33
|
Seifert K, Heit JJ. Collateral Blood Flow and Ischemic Core Growth. Transl Stroke Res 2023; 14:13-21. [PMID: 35699917 DOI: 10.1007/s12975-022-01051-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2022] [Revised: 06/02/2022] [Accepted: 06/06/2022] [Indexed: 01/31/2023]
Abstract
Treatment of a large vessel occlusion in the acute ischemic stroke setting focuses on vessel recanalization, and endovascular thrombectomy results in favorable outcomes in appropriate candidates. Expeditious treatment is imperative, but patients often present to institutions that do not have neurointerventional surgeons and need to be transferred to a comprehensive stroke center. These treatment delays are common, and it is important to identify factors that mitigate the progression of the ischemic core in order to maximize the preservation of salvageable brain tissue. Collateral blood flow is the strongest factor known to influence ischemic core growth, which includes the input arterial vessels, tissue-level vessels, and venous outflow. Collateral blood flow at these different levels may be imaged by specific imaging techniques that may also predict ischemic core growth during treatment delays and help identify patients who would benefit from transfer and endovascular therapy, as well as identify those patients in whom transfer may be futile. Here we review collateral blood flow and its relationship to ischemic core growth in stroke patients.
Collapse
Affiliation(s)
- Kimberly Seifert
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA
| | - Jeremy J Heit
- Department of Radiology, Stanford University School of Medicine, Stanford, CA, USA. .,Radiology and Neurosurgery, Stanford University School of Medicine, 453 Quarry Road, Palo Alto, CA, 94304, USA.
| |
Collapse
|
34
|
Guo X, Xiong Y, Huang X, Pan Z, Kang X, Chen C, Zhou J, Wang C, Lin S, Hu W, Wang L, Zheng F. Aspiration versus stent retriever for posterior circulation stroke: A meta-analysis. CNS Neurosci Ther 2022; 29:525-537. [PMID: 36513959 PMCID: PMC9873527 DOI: 10.1111/cns.14045] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 11/15/2022] [Accepted: 11/16/2022] [Indexed: 12/15/2022] Open
Abstract
AIMS New thrombectomy strategies have emerged recently. Differences between posterior circulation stroke management via aspiration and stent retriever remain to be evaluated. We compared the safety and efficacy of aspiration and stent retriever in treating posterior circulation stroke. METHODS Three databases (PubMed, Embase, and Cochrane Library) were systematically searched for studies comparing aspiration and stent retriever in patients with posterior circulation stroke. The modified Newcastle-Ottawa scale was used to assess the risk of bias. A random-effects model was used. RESULTS Fifteen cohort studies with 1451 patients were included. Pooled results showed a significant difference in total complication (odds ratio [OR] 0.48, 95% confidence interval [CI] [0.30, 0.76], p = 0.002). successful recanalization (1.85, [1.30, 2.64], p = 0.0006), favorable outcome (1.30, [1.02, 1.67], p = 0.04), procedure duration (-22.10, [-43.32, -0.88], p = 0.04), complete recanalization (4.96, [1.06, 23.16], p = 0.009), and first-pass effect (2.59, [1.55, 4.32], p = 0.0003) between the aspiration and stent retriever groups, and in favor of aspiration. There was no significant difference in the outcomes of rescue therapy (1.42, [0.66, 3.05], p = 0.37) between the two groups. CONCLUSION Patients with posterior circulation stroke receiving treatment with aspiration achieved better recanalization, first-pass effect, and shorter procedure time. Aspiration may be more secure than a stent retriever.
Collapse
Affiliation(s)
- Xiumei Guo
- Department of NeurologyThe Second Affiliated Hospital, Fujian Medical UniversityQuanzhouChina,Department of NeurosurgeryThe Second Affiliated Hospital, Fujian Medical UniversityQuanzhouChina
| | - Yu Xiong
- Department of NeurosurgeryThe Second Affiliated Hospital, Fujian Medical UniversityQuanzhouChina
| | - Xinyue Huang
- Department of NeurosurgeryThe Second Affiliated Hospital, Fujian Medical UniversityQuanzhouChina
| | - Zhigang Pan
- Department of NeurosurgeryThe Second Affiliated Hospital, Fujian Medical UniversityQuanzhouChina
| | - Xiaodong Kang
- Department of NeurosurgeryThe Second Affiliated Hospital, Fujian Medical UniversityQuanzhouChina
| | - Chunhui Chen
- Department of NeurosurgeryThe Second Affiliated Hospital, Fujian Medical UniversityQuanzhouChina
| | - Jianfeng Zhou
- Department of NeurosurgeryThe Second Affiliated Hospital, Fujian Medical UniversityQuanzhouChina
| | - Cui'e Wang
- Department of NeurosurgeryThe Second Affiliated Hospital, Fujian Medical UniversityQuanzhouChina
| | - Shu Lin
- Centre of Neurological and Metabolic ResearchThe Second Affiliated Hospital of Fujian Medical UniversityQuanzhouChina,Diabetes and Metabolism DivisionGarvan Institute of Medical ResearchSydneyNew South WalesAustralia
| | - Weipeng Hu
- Department of NeurosurgeryThe Second Affiliated Hospital, Fujian Medical UniversityQuanzhouChina
| | - Lingxing Wang
- Department of NeurologyThe Second Affiliated Hospital, Fujian Medical UniversityQuanzhouChina
| | - Feng Zheng
- Department of NeurosurgeryThe Second Affiliated Hospital, Fujian Medical UniversityQuanzhouChina
| |
Collapse
|
35
|
Wang X, Wang X, Ma J, Jia M, Wu L, Li W, Li C, Wu C, Ren C, Chen X, Zhao W, Ji X. Association between the time of day at stroke onset and functional outcome of acute ischemic stroke patients treated with endovascular therapy. J Cereb Blood Flow Metab 2022; 42:2191-2200. [PMID: 35791272 PMCID: PMC9670006 DOI: 10.1177/0271678x221111852] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
To investigate the association between time-of-day of stroke onset and functional outcome in patients with acute ischemic stroke(AIS) treated with endovascular thrombectomy(EVT). AIS patients treated with EVT between January 2013 and December 2018 were recruited and divided them into four 6-h interval groups according to the time-of-day of stroke onset. A total of 438 patients were enrolled, 3-month favorable outcome were achieved in 58.6%, 43.7%, 36.6%, and 30.5% of patients in the 00:00-06:00, 06:00-12:00, 12:00-18:00, and 18:00-24:00 groups, respectively (adjusted OR 0.61, 95% CI 0.40-0.93; p = 0.020). Compared with the 18:00-24:00 interval, patients in the 00:00-06:00 interval (adjusted OR 4.01, 95%CI 1.02-15.80, p = 0.047) and the 06:00-12:00 interval (adjusted OR 3.24, 95% CI 1.09-9.64, p = 0.034) were more likely to achieve favorable outcome. The time-of-day of stroke onset was not associated with 3-month mortality (adjusted p = 0.829), symptomatic intracerebral hemorrhage (sICH, adjusted p = 0.296), or early successful recanalization (adjusted p = 0.074). In conclusion, in AIS patients treated with EVT, those onsets either between 00:00 and 06:00 or between 06:00 and 12:00 appeared to be associated with a higher proportion of favorable outcomes at 3 months, but the time-of-day at stroke onset was not associated with the incidence of sICH, rate of early successful recanalization, or 3-month mortality.
Collapse
Affiliation(s)
- Xian Wang
- Beijing Institute of Brain Disorders, Laboratory of Brain Disorders, Ministry of Science and Technology, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, China
| | - Xiaoyin Wang
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Jin Ma
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Milan Jia
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Longfei Wu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Weili Li
- Beijing Institute of Brain Disorders, Laboratory of Brain Disorders, Ministry of Science and Technology, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, China
| | - Chuanhui Li
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Chuanjie Wu
- Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Changhong Ren
- Beijing Key Laboratory of Hypoxic Conditioning Translational Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Xin Chen
- Department of General Surgery, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Wenbo Zhao
- Beijing Institute of Brain Disorders, Laboratory of Brain Disorders, Ministry of Science and Technology, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, China.,Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.,Beijing Key Laboratory of Hypoxic Conditioning Translational Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China
| | - Xunming Ji
- Beijing Institute of Brain Disorders, Laboratory of Brain Disorders, Ministry of Science and Technology, Collaborative Innovation Center for Brain Disorders, Capital Medical University, Beijing, China.,Beijing Key Laboratory of Hypoxic Conditioning Translational Medicine, Xuanwu Hospital, Capital Medical University, Beijing, China.,Department of Neurosurgery, Xuanwu Hospital, Capital Medical University, Beijing, China
| |
Collapse
|
36
|
Shen Y, Li M, Chen Y, Liu S, Liu J, Yang D. Comparison between collateral status and DEFUSE 3 or DAWN criteria in patient selection for endovascular thrombectomy within 6-24 hours after stroke: a protocol for meta-analysis. BMJ Open 2022; 12:e059557. [PMID: 36288829 PMCID: PMC9615982 DOI: 10.1136/bmjopen-2021-059557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
INTRODUCTION Perfusion imaging according to the DEFUSE 3 or DAWN criteria has been applied to select patients with large vascular occlusive stroke undergo endovascular therapy (EVT) in the extended time window. Emerging studies have shown that collateral blood flow-based criteria may be as effective as DEFUSE 3 and DAWN criteria for the evaluation of EVT eligibility beyond 6 hours. We will conduct a meta-analysis to compare collateral status-based criteria with DEFUSE 3 or DAWN criteria. METHODS AND ANALYSIS We will conduct a search for the studies comparing collateral blood flow-based imaging with CT perfusion using the DEFUSE 3 or DAWN criteria in selecting patients with acute ischaemic stroke undergo EVT in the Web of Science, PubMed, EMBASE and the Cochrane Library databases between November 2017 and November 2021. We will also search the sources of grey literature, the reference lists of included studies and the newly published studies during the review period. Two investigators will independently screen the eligible studies and extract data. The study quality will be assessed by using the Newcastle-Ottawa Scale or the Cochrane risk bias tool. Stata V.17 will be used to conduct data analysis. ETHICS AND DISSEMINATION Patient informed consent and ethics approval are not necessary as this study uses only published studies. The finding of this meta-analysis will be propagated through committee conferences or peer-reviewed journals. PROSPERO REGISTRATION NUMBER CRD42021281928.
Collapse
Affiliation(s)
- Yuling Shen
- Department of Neurology, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Mao Li
- Department of Neurology, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Yun Chen
- Department of Neurology, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Shanyu Liu
- Department of Neurology, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Junyan Liu
- Department of Neurology, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| | - Dongdong Yang
- Department of Neurology, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, China
| |
Collapse
|
37
|
The utility of therapeutic hypothermia on cerebral autoregulation. JOURNAL OF INTENSIVE MEDICINE 2022; 3:27-37. [PMID: 36789361 PMCID: PMC9924009 DOI: 10.1016/j.jointm.2022.08.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 03/17/2022] [Revised: 07/26/2022] [Accepted: 08/10/2022] [Indexed: 11/07/2022]
Abstract
Cerebral autoregulation (CA) dysfunction is a strong predictor of clinical outcome in patients with acute brain injury (ABI). CA dysfunction is a potential pathologic defect that may lead to secondary injury and worse functional outcomes. Early therapeutic hypothermia (TH) in patients with ABI is controversial. Many factors, including patient selection, timing, treatment depth, duration, and rewarming strategy, impact its clinical efficacy. Therefore, optimizing the benefit of TH is an important issue. This paper reviews the state of current research on the impact of TH on CA function, which may provide the basis and direction for CA-oriented target temperature management.
Collapse
|
38
|
Ban M, Han X, Bao W, Zhang H, Zhang P. Evaluation of collateral status and outcome in patients with middle cerebral artery stenosis in late time window by CT perfusion imaging. Front Neurol 2022; 13:991023. [PMID: 36176551 PMCID: PMC9513124 DOI: 10.3389/fneur.2022.991023] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Accepted: 08/23/2022] [Indexed: 11/13/2022] Open
Abstract
ObjectivesCollateral status (CS) is a crucial determinant of outcome in patients with ischemic stroke. We aimed to test whether the cerebral blood volume (CBV) and cerebral blood flow (CBF) based on computed tomography perfusion (CTP) measurements can quantitatively evaluate CS and explore the predictive ability of CTP parameters in determining clinical outcomes in patients with MCA severe stenosis or occlusion presenting beyond 24 h.Materials and methodsIn this retrospective study, data obtained from September 2018 to March 2022 in consecutive stroke patients caused by isolated middle cerebral artery severe stenosis or occlusion were reviewed within 24–72 h after onset. Correlation between the collateral score systems assessed with CT angiography (CTA) and CTP parameters was calculated using the Spearman correlation. The optimal threshold of the CBV ratio for predicting a good outcome was determined using receiver operating characteristic curve (ROC) analysis.ResultsA total of 69 patients met inclusion criteria. Both the CBV ratio and the CBF ratio had significant correlation with collateral score systems assessed with CTA [CBV ratio and Tan score: rs = 0.702, P < 0.0001; CBV ratio and regional leptomeningeal collateral (rLMC) score: rs = 0.705, P < 0.0001; CBV ratio and Miteff score: rs = 0.625, P < 0.0001. CBF ratio and Tan score: rs= 0.671, P < 0.0001; CBF ratio and rLMC score: rs = 0.715, P < 0.0001; CBF ratio and Miteff score: rs = 0.535, P < 0.0001]. ROC analysis revealed the CBV ratio performed better than the qualitative collateral assessments and the CBF ratio in the prediction of a favorable 90-day modified Rankin scale score. The CBV ratio was a useful parameter that predicted a good functional outcome [area under the curve (AUC), 0.922; 95% CI, 0.862 ± 0.982].ConclusionsIn late time window stroke patients, the CBV and CBF ratio on CTP may be valuable parameters for quantitatively revealing the collateral status after stroke. In addition, the CBV ratio was the predictor of clinical outcomes in patients with MCA severe stenosis or occlusion.
Collapse
|
39
|
Correlation between Hypoperfusion Intensity Ratio and Functional Outcome in Large-Vessel Occlusion Acute Ischemic Stroke: Comparison with Multi-Phase CT Angiography. J Clin Med 2022; 11:jcm11185274. [PMID: 36142924 PMCID: PMC9503156 DOI: 10.3390/jcm11185274] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2022] [Revised: 08/27/2022] [Accepted: 09/01/2022] [Indexed: 11/16/2022] Open
Abstract
Background and purpose: Previous studies have shown that Hypoperfusion Intensity Ratio (HIR) derived from Perfusion Imaging (PWI) associated with collateral status in large-vessel occlusion (LVO) acute ischemic stroke (AIS) and could predict the rate of collateral flow, speed of infarct growth, and clinical outcome after endovascular treatment (EVT). We hypothesized that HIR derived from CT Perfusion (CTP) imaging could relatively accurately predict the functional outcome in LVO AIS patients receiving different types of treatment. Methods: Imaging and clinical data of consecutive patients with LVO AIS were retrospectively reviewed. Multi-phase CT angiography (mCTA) scoring was performed by 2 blinded neuroradiologists. CTP images were processed using an automatic post-processing analysis software. Correlation between the HIR and the functional outcome was calculated using the Spearman correlation. The efficacy of the HIR and the CTA collateral scores for predicting prognosis were compared. The optimal threshold of the HIR for predicting favorable functional outcome was determined using receiver operating characteristic (ROC) curve analysis. Results: 235 patients with LVO AIS were included. Patients with favorable functional outcome had lower HIR (0.1 [interquartile range (IQR), 0.1−0.2]) vs. 0.4 (IQR, 0.4−0.5)) and higher mCTA collateral scores (3 [IQR, 3−4] vs. 3 [IQR, 2−3]; p < 0.001) along with smaller infarct core volume (2.1 [IQR, 1.0−4.5]) vs. (15.2 [IQR, 5.5−39.3]; p < 0.001), larger mismatch ratio (22.9 [IQR, 11.6−45.6]) vs. (5.8 [IQR, 2.6−14]); p < 0.001), smaller ischemic volume (59.0 [IQR, 29.7−89.2]) vs. (97.5 [IQR, 68.7−142.2]; p < 0.001), and smaller final infarct volume (12.6 [IQR, 7.5−18.4]) vs. (78.9 [IQR, 44.5−165.0]; p < 0.001) than those with unfavorable functional outcome. The HIR was significantly positively correlated with the functional outcome [r = 0.852; 95% confidence interval (CI): 0.813−0.884; p < 0.0001]. The receiver operating characteristic (ROC) analysis showed that the optimal threshold for predicting a favorable functional outcome was HIR ≤ 0.3 [area under the curve (AUC) 0.968; sensitivity 88.89%; specificity 99.21%], which was higher than the mCTA collateral score [AUC 0.741; sensitivity 82.4%; specificity 48.8%]. Conclusions: HIR was associated with the functional outcome of LVO AIS patients, and the correlation coefficient was higher than mCTA collateral score. HIR outperformed mCTA collateral score in predicting functional outcome.
Collapse
|
40
|
Rodríguez-Vázquez A, Laredo C, Renú A, Rudilosso S, Llull L, Amaro S, Obach V, Vera V, Páez A, Oleaga L, Urra X, Chamorro Á. Optimizing the Definition of Ischemic Core in CT Perfusion: Influence of Infarct Growth and Tissue-Specific Thresholds. AJNR Am J Neuroradiol 2022; 43:1265-1270. [PMID: 35981763 PMCID: PMC9451632 DOI: 10.3174/ajnr.a7601] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/28/2022] [Accepted: 06/20/2022] [Indexed: 01/26/2023]
Abstract
BACKGROUND AND PURPOSE CTP allows estimating ischemic core in patients with acute stroke. However, these estimations have limited accuracy compared with MR imaging. We studied the effect of applying WM- and GM-specific thresholds and analyzed the infarct growth from baseline imaging to reperfusion. MATERIALS AND METHODS This was a single-center cohort of consecutive patients (n = 113) with witnessed strokes due to proximal carotid territory occlusions with baseline CT perfusion, complete reperfusion, and follow-up DWI. We segmented GM and WM, coregistered CTP with DWI, and compared the accuracy of the different predictions for each voxel on DWI through receiver operating characteristic analysis. We assessed the yield of different relative CBF thresholds to predict the final infarct volume and an estimated infarct growth-corrected volume (subtracting the infarct growth from baseline imaging to complete reperfusion) for a single relative CBF threshold and GM- and WM-specific thresholds. RESULTS The fixed threshold underestimated lesions in GM and overestimated them in WM. Double GM- and WM-specific thresholds of relative CBF were superior to fixed thresholds in predicting infarcted voxels. The closest estimations of the infarct on DWI were based on a relative CBF of 25% for a single threshold, 35% for GM, and 20% for WM, and they decreased when correcting for infarct growth: 20% for a single threshold, 25% for GM, and 15% for WM. The combination of 25% for GM and 15% for WM yielded the best prediction. CONCLUSIONS GM- and WM-specific thresholds result in different estimations of ischemic core in CTP and increase the global accuracy. More restrictive thresholds better estimate the actual extent of the infarcted tissue.
Collapse
Affiliation(s)
- A Rodríguez-Vázquez
- From the Comprehensive Stroke Center (A.R.-V., C.L., A.R., S.R., L.L., S.A., V.O., V.V., X.U., A.C.), Functional Unit of Cerebrovascular Diseases
| | - C Laredo
- From the Comprehensive Stroke Center (A.R.-V., C.L., A.R., S.R., L.L., S.A., V.O., V.V., X.U., A.C.), Functional Unit of Cerebrovascular Diseases
| | - A Renú
- From the Comprehensive Stroke Center (A.R.-V., C.L., A.R., S.R., L.L., S.A., V.O., V.V., X.U., A.C.), Functional Unit of Cerebrovascular Diseases
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (A.R., S.R., L.L., S.A., V.O., X.U., A.C.), Barcelona, Spain
- University of Barcelona (A.R., L.L., S.A., V.O., X.U., A.C.), Barcelona, Spain
| | - S Rudilosso
- From the Comprehensive Stroke Center (A.R.-V., C.L., A.R., S.R., L.L., S.A., V.O., V.V., X.U., A.C.), Functional Unit of Cerebrovascular Diseases
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (A.R., S.R., L.L., S.A., V.O., X.U., A.C.), Barcelona, Spain
| | - L Llull
- From the Comprehensive Stroke Center (A.R.-V., C.L., A.R., S.R., L.L., S.A., V.O., V.V., X.U., A.C.), Functional Unit of Cerebrovascular Diseases
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (A.R., S.R., L.L., S.A., V.O., X.U., A.C.), Barcelona, Spain
- University of Barcelona (A.R., L.L., S.A., V.O., X.U., A.C.), Barcelona, Spain
| | - S Amaro
- From the Comprehensive Stroke Center (A.R.-V., C.L., A.R., S.R., L.L., S.A., V.O., V.V., X.U., A.C.), Functional Unit of Cerebrovascular Diseases
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (A.R., S.R., L.L., S.A., V.O., X.U., A.C.), Barcelona, Spain
- University of Barcelona (A.R., L.L., S.A., V.O., X.U., A.C.), Barcelona, Spain
| | - V Obach
- From the Comprehensive Stroke Center (A.R.-V., C.L., A.R., S.R., L.L., S.A., V.O., V.V., X.U., A.C.), Functional Unit of Cerebrovascular Diseases
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (A.R., S.R., L.L., S.A., V.O., X.U., A.C.), Barcelona, Spain
- University of Barcelona (A.R., L.L., S.A., V.O., X.U., A.C.), Barcelona, Spain
| | - V Vera
- From the Comprehensive Stroke Center (A.R.-V., C.L., A.R., S.R., L.L., S.A., V.O., V.V., X.U., A.C.), Functional Unit of Cerebrovascular Diseases
| | - A Páez
- Radiology Department (A.P., L.O.), Hospital Clínic, Barcelona, Spain
| | - L Oleaga
- Radiology Department (A.P., L.O.), Hospital Clínic, Barcelona, Spain
| | - X Urra
- From the Comprehensive Stroke Center (A.R.-V., C.L., A.R., S.R., L.L., S.A., V.O., V.V., X.U., A.C.), Functional Unit of Cerebrovascular Diseases
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (A.R., S.R., L.L., S.A., V.O., X.U., A.C.), Barcelona, Spain
- University of Barcelona (A.R., L.L., S.A., V.O., X.U., A.C.), Barcelona, Spain
| | - Á Chamorro
- From the Comprehensive Stroke Center (A.R.-V., C.L., A.R., S.R., L.L., S.A., V.O., V.V., X.U., A.C.), Functional Unit of Cerebrovascular Diseases
- Institut d'Investigacions Biomèdiques August Pi i Sunyer (A.R., S.R., L.L., S.A., V.O., X.U., A.C.), Barcelona, Spain
- University of Barcelona (A.R., L.L., S.A., V.O., X.U., A.C.), Barcelona, Spain
| |
Collapse
|
41
|
Karamchandani RR, Yang H, Prasad T, Strong D, Rhoten JB, Defilipp G, Clemente J, Stetler WR, Bernard J, Asimos AW. Endovascular Thrombectomy Reduces Risk of Poor Functional Outcomes in Patients Presenting within 0-6 Hours with Large Ischemic Core Volumes on Computed Tomography Perfusion. J Stroke Cerebrovasc Dis 2022; 31:106548. [PMID: 35567936 DOI: 10.1016/j.jstrokecerebrovasdis.2022.106548] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2022] [Revised: 04/02/2022] [Accepted: 05/01/2022] [Indexed: 12/30/2022] Open
Abstract
INTRODUCTION Patients presenting with large ischemic core volumes (LICVs) on computed tomography perfusion (CTP) are at high risk for poor functional outcomes. We sought to identify predictors of outcome in patients with an internal carotid artery (ICA) or middle cerebral artery (MCA) occlusion and LICV. METHODS A large healthcare system's prospectively collected code stroke registry was utilized for this retrospective analysis of patients presenting within 6 hours with at least 50 ml of CTP reduced relative cerebral blood flow (CBF) < 30%. A multivariable logistic regression model was constructed to identify independent predictors (p < 0.05) of poor discharge outcome (modified Rankin scale score 4-6). RESULTS Over a 38-month period, we identified 104 patients meeting inclusion criteria, with a mean age of 65.4 ± 16.2 years, median presenting National Institutes of Health Stroke Scale score 20 (IQR 16-24), median ischemic core volume (CBF < 30%) 82 ml (IQR 61-118), and median mismatch volume 80 ml (IQR 56-134). Seventy-five patients (72.1%) had a discharge modified Rankin scale score of 4-6. Sixty-six of 104 (63.5%) patients were treated with endovascular thrombectomy (EVT). In the multivariable regression model, EVT (OR 0.303; 95% CI 0.080-0.985; p = 0.049) and lower blood glucose (per 1-point increase, OR 1.014; 95% CI 1.003-1.030; p = 0.030) were independently protective against poor discharge outcome. CONCLUSIONS EVT is independently associated with a reduced risk of poor functional outcome in patients presenting within 6 hours with ICA or MCA occlusions and LICV.
Collapse
Affiliation(s)
- Rahul R Karamchandani
- Department of Neurology, Neurosciences Institute, Atrium Health, 1000 Blythe Blvd, Charlotte, NC 28203, United States, 734.883.7844.
| | - Hongmei Yang
- Information and Analytics Services, Atrium Health, Charlotte, NC, USA, 301.910.5966.
| | - Tanushree Prasad
- Information and Analytics Services, Atrium Health, Charlotte, NC, USA, 603.320.7556.
| | - Dale Strong
- Information and Analytics Services, Atrium Health, Charlotte, NC, USA, 410.940.9178.
| | - Jeremy B Rhoten
- Neurosciences Institute, Atrium Health, Charlotte, NC, USA, 304.654.8820.
| | - Gary Defilipp
- Charlotte Radiology, Neurosciences Institute, Atrium Health, Charlotte, NC, USA, 704.458.9612.
| | - Jonathan Clemente
- Charlotte Radiology, Neurosciences Institute, Atrium Health, Charlotte, NC, USA, 704.604.4283.
| | - William R Stetler
- Carolina Neurosurgery and Spine Associates, Neurosciences Institute, Atrium Health, Charlotte, NC, USA, 205.542.1402.
| | - Joe Bernard
- Carolina Neurosurgery and Spine Associates, Neurosciences Institute, Atrium Health, Charlotte, NC, USA, 704.618.4236.
| | - Andrew W Asimos
- Department of Emergency Medicine, Neurosciences Institute, Atrium Health, Charlotte, NC, USA, 704.804.9861.
| |
Collapse
|
42
|
Hirai S, Sato H, Yamamura T, Kato K, Ishikawa M, Sagawa H, Aoyama J, Fujii S, Fujita K, Arai T, Sumita K. Correlation between the CT Perfusion Parameter Values and Response to Recanalization in Patients with Acute Ischemic Stroke. JOURNAL OF NEUROENDOVASCULAR THERAPY 2022; 16:577-585. [PMID: 37502670 PMCID: PMC10370711 DOI: 10.5797/jnet.oa.2022-0026] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/27/2022] [Accepted: 06/15/2022] [Indexed: 07/29/2023]
Abstract
Objective CT perfusion (CTP) provides various hemodynamic parameters. However, it is unclear which CTP parameters are useful in predicting clinical outcome in patients with acute ischemic stroke (AIS). Methods Between February 2019 and June 2021, patients with anterior circulation large-vessel occlusion who achieved successful recanalization within 8 hours after stroke onset were included. The relative CTP parameter values analyzed by the reformulated singular value decomposition (SVD) method in the affected middle cerebral artery territories compared to those in the unaffected side were calculated. In addition, the ischemic core volume (ICV) was evaluated using a Bayesian Vitrea. The final infarct volume (FIV) was assessed by 24-hour MRI. The correlation between these CTP-derived values and clinical outcome was assessed. Results Forty-two patients were analyzed. Among the CTP-related parameters, the ICV, relative cerebral blood volume (rCBV), and relative mean transit time (rMTT) showed a strong correlation with the FIV (ρ = 0.74, p <0.0001; ρ = -0.67, p <0.0001; and ρ = -0.66, p <0.0001, respectively). In multivariate analysis, rCBV, rMTT, and ICV were significantly associated with good functional outcome, which was defined as a modified Rankin Scale score ≤2 (OR, 6.87 [95% CI, 1.20-39.30], p = 0.0303; OR, 11.27 [95% CI, 0.97-130.94], p = 0.0269; and OR, 36.22 [95% CI, 2.78-471.18], p = 0.0061, respectively). Conclusion Among the CTP parameters analyzed by the SVD deconvolution algorithms, rCBV and rMTT could be useful imaging predictors of response to recanalization in patients with AIS, and the performances of these variables were similar to that of the ICV calculated by the Bayesian Vitrea.
Collapse
Affiliation(s)
- Sakyo Hirai
- Department of Endovascular Surgery, Tokyo Medical and Dental University, Tokyo, Japan
- Department of Neurosurgery, Soka Municipal Hospital, Soka, Saitama, Japan
| | - Hirotaka Sato
- Department of Radiological Technology, Soka Municipal Hospital, Soka, Saitama, Japan
| | - Toshihiro Yamamura
- Department of Neurosurgery, Soka Municipal Hospital, Soka, Saitama, Japan
| | - Koichi Kato
- Department of Radiological Technology, Soka Municipal Hospital, Soka, Saitama, Japan
| | - Mariko Ishikawa
- Department of Endovascular Surgery, Tokyo Medical and Dental University, Tokyo, Japan
| | - Hirotaka Sagawa
- Department of Endovascular Surgery, Tokyo Medical and Dental University, Tokyo, Japan
| | - Jiro Aoyama
- Department of Endovascular Surgery, Tokyo Medical and Dental University, Tokyo, Japan
| | - Shoko Fujii
- Department of Endovascular Surgery, Tokyo Medical and Dental University, Tokyo, Japan
| | - Kyohei Fujita
- Department of Endovascular Surgery, Tokyo Medical and Dental University, Tokyo, Japan
| | - Toshinari Arai
- Department of Radiological Technology, Soka Municipal Hospital, Soka, Saitama, Japan
| | - Kazutaka Sumita
- Department of Endovascular Surgery, Tokyo Medical and Dental University, Tokyo, Japan
| |
Collapse
|
43
|
Li BH, Wang JH, Yang S, Wang DZ, Zhang Q, Cheng XD, Yu NW, Guo FQ. Cerebral blood volume index may be a predictor of independent outcome of thrombectomy in stroke patients with low ASPECTS. J Clin Neurosci 2022; 103:188-192. [PMID: 35917724 DOI: 10.1016/j.jocn.2022.07.006] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/17/2022] [Revised: 06/19/2022] [Accepted: 07/09/2022] [Indexed: 10/16/2022]
Abstract
INTRODUCTION To evaluate the predictors for efficacy and safety of patients with acute ischemic stroke (AIS) and Alberta Stroke Program Early Computed Tomographic Score (ASPECTS) <6 undergoing endovascular therapy (EVT). METHODS This study retrospectively analyzed consecutive patients presented between December 2020 and December 2021 with large vessel occlusions (LVO) within the anterior circulation and an ASPECTS <6, followed by EVT. The efficacy outcome was 90-day functional independence, defined as modified Rankin Scale (mRS) score 0-3. The primary safety outcome was symptomatic intracranial hemorrhage (sICH). Secondary safety outcomes included 90-day all-cause mortality and 24-hour any ICH. RESULTS A total of 22 patients were included. The percentage of patients with mRS 0-3 at 90 days was 36.4% (8/22). The occurrence of sICH was 22.7% (5/22). The occurrence of any ICH was 45.5% (10/22). The 90-day all-cause mortality was 36.4% (8/22). Median (interquartile range, IQR) cerebral blood volume (CBV) index was 0.5 (0.4-0.7). CBV index in mRS 0-3 group (n = 8) was higher than mRS 4-5 group (n = 14) (P<0.05). There was no significant difference of age, gender, comorbidities, baseline National Institutes of Health Stroke Scale (NIHSS) score, mismatch ratio, CBV index, interval between stroke onset and re-perfusion, good re-perfusion rate between sICH group (n = 5) and non-sICH group (n = 17). CONCLUSIONS AIS patients with low ASPECTS can still benefit from EVT and gain good functional outcome, especial those had higher CBV index on pre-EVT computed tomography perfusion (CTP). Further studies with larger sample size are needed to validate our findings.
Collapse
Affiliation(s)
- Bing-Hu Li
- Department of Neurology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu 610072, China
| | - Jian-Hong Wang
- Department of Neurology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu 610072, China
| | - Shu Yang
- Department of Neurology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu 610072, China
| | - Duo-Zi Wang
- Department of Neurology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu 610072, China
| | - Qi Zhang
- Department of Neurology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu 610072, China
| | - Xu-Dong Cheng
- Department of Neurology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu 610072, China
| | - Neng-Wei Yu
- Department of Neurology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu 610072, China.
| | - Fu-Qiang Guo
- Department of Neurology, Sichuan Provincial People's Hospital, University of Electronic Science and Technology of China, Chengdu 610072, China.
| |
Collapse
|
44
|
Suomalainen OP, Elseoud Abou A, Martinez-Majander N, Tiainen M, Valkonen K, Virtanen P, Forss N, Curtze S. Is infarct core growth linear? Infarct volume estimation by computed tomography perfusion imaging. Acta Neurol Scand 2022; 145:684-691. [PMID: 35187642 DOI: 10.1111/ane.13601] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/22/2021] [Revised: 02/08/2022] [Accepted: 02/09/2022] [Indexed: 12/30/2022]
Abstract
OBJECTIVES Current guidelines for recanalization treatment are based on the time elapsed between symptom onset and treatment and visualization of existing penumbra in computed tomography perfusion (CTP) imaging. The time window for treatment options relies on linear growth of infarction although individual infarct growth rate may vary. We aimed to test how accurately the estimated follow-up infarct volume (eFIV) can be approximated by using a linear growth model based on CTP baseline imaging. If eFIV did not fall within the margins of +/- 19% of the follow-up infarct volume (FIV) measured at 24 h from non-enhanced computed tomography images, the results would imply that the infarct growth is not linear. MATERIALS AND METHODS All consecutive endovascularly treated (EVT) patients from 11/2015 to 9/2019 at the Helsinki University Hospital with large vessel occlusion (LVO), CTP imaging, and known time of symptom onset were included. Infarct growth rate was assumed to be linear and calculated by dividing the ischemic core volume (CTPcore ) by the time from symptom onset to baseline imaging. eFIV was calculated by multiplying the infarct growth rate with the time from baseline imaging to recanalization or in case of futile recanalization to follow-up imaging at 24 h, limited to the penumbra. Collateral flow was estimated by calculating hypoperfusion intensity ratio (HIR). RESULTS Of 5234 patients, 48 had LVO, EVT, CTP imaging, and known time of symptom onset. In 40/48 patients (87%), infarct growth was not linear. HIR did not differ between patients with linear and nonlinear growth (p > .05). As expected, in over half of the patients with successful recanalization eFIV exceeded FIV. CONCLUSIONS Infarct growth was not linear in most patients and thus time elapsed from symptom onset and CTPcore appear to be insufficient parameters for clinical decision-making in EVT candidates.
Collapse
Affiliation(s)
- Olli P Suomalainen
- Departments of Neurology, Helsinki University Hospital, Helsinki, Finland
| | - Ahmed Elseoud Abou
- Neuroradiology, Helsinki University Hospital and Clinical Neurosciences, University of Helsinki, Helsinki, Finland
| | | | - Marjaana Tiainen
- Departments of Neurology, Helsinki University Hospital, Helsinki, Finland
| | - Kati Valkonen
- Departments of Neurology, Helsinki University Hospital, Helsinki, Finland
| | - Pekka Virtanen
- Neuroradiology, Helsinki University Hospital and Clinical Neurosciences, University of Helsinki, Helsinki, Finland
| | - Nina Forss
- Departments of Neurology, Helsinki University Hospital, Helsinki, Finland.,Department of Neuroscience and Biomedical Engineering, Aalto University, Espoo, Finland
| | - Sami Curtze
- Departments of Neurology, Helsinki University Hospital, Helsinki, Finland
| |
Collapse
|
45
|
Sarraj A, Campbell BCV, Christensen S, Sitton CW, Khanpara S, Riascos RF, Pujara D, Shaker F, Sharma G, Lansberg MG, Albers GW. Accuracy of CT Perfusion-Based Core Estimation of Follow-up Infarction: Effects of Time Since Last Known Well. Neurology 2022; 98:e2084-e2096. [PMID: 35450966 PMCID: PMC9169942 DOI: 10.1212/wnl.0000000000200269] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2021] [Accepted: 02/08/2022] [Indexed: 12/30/2022] Open
Abstract
BACKGROUND AND OBJECTIVES To assess the accuracy of baseline CT perfusion (CTP) ischemic core estimates. METHODS From SELECT (Optimizing Patient Selection for Endovascular Treatment in Acute Ischemic Stroke), a prospective multicenter cohort study of imaging selection, patients undergoing endovascular thrombectomy who achieved complete reperfusion (modified Thrombolysis In Cerebral Ischemia score 3) and had follow-up diffusion-weighted imaging (DWI) available were evaluated. Follow-up DWI lesions were coregistered to baseline CTP. The difference between baseline CTP core (relative cerebral blood flow [rCBF] <30%) volume and follow-up infarct volume was classified as overestimation (core ≥10 mL larger than infarct), adequate, or underestimation (core ≥25 mL smaller than infarct) and spatial overlap was evaluated. RESULTS Of 101 included patients, median time from last known well (LKW) to imaging acquisition was 138 (82-244) minutes. The median baseline ischemic core estimate was 9 (0-31.9) mL and median follow-up infarct volume was 18.4 (5.3-68.7) mL. All 6/101 (6%) patients with overestimation of the subsequent infarct volume were imaged within 90 minutes of LKW and achieved rapid reperfusion (within 120 minutes of CTP). Using rCBF <20% threshold to estimate ischemic core in patients presenting within 90 minutes eliminated overestimation. Volumetric correlation between the ischemic core estimate and follow-up imaging improved as LKW time to imaging acquisition increased: Spearman ρ <90 minutes 0.33 (p = 0.049), 90-270 minutes 0.63 (p < 0.0001), >270 minutes 0.86 (p < 0.0001). Assessment of the spatial overlap between baseline CTP ischemic core lesion and follow-up infarct demonstrated that a median of 3.2 (0.0-9.0) mL of estimated core fell outside the subsequent infarct. These regions were predominantly in white matter. DISCUSSION Significant overestimation of irreversibly injured ischemic core volume was rare, was only observed in patients who presented within 90 minutes of LKW and achieved reperfusion within 120 minutes of CTP acquisition, and occurred primarily in white matter. Use of a more conservative (rCBF <20%) threshold for estimating ischemic core in patients presenting within 90 minutes eliminated all significant overestimation cases. TRIAL REGISTRATION INFORMATION ClinicalTrials.gov: NCT03876457.
Collapse
Affiliation(s)
- Amrou Sarraj
- From the Department of Neurology (A.S.), Case Western Reserve University-University Hospitals Cleveland Medical Center, OH; Department of Neurology (B.C.V.C., G.S.), The Royal Melbourne Hospital, University of Melbourne, Parkville, Australia; Department of Neurology (S.C., M.G.L., G.W.A.), Stanford University Medical Center, CA; Departments of Diagnostic and Interventional Imaging (C.W.S., S.K., R.F.R.) and Neurology (F.S.), UTHealth McGovern Medical School, Houston, TX; and Department of Neurology (D.P.), University Hospitals Cleveland Medical Center, OH
| | - Bruce C V Campbell
- From the Department of Neurology (A.S.), Case Western Reserve University-University Hospitals Cleveland Medical Center, OH; Department of Neurology (B.C.V.C., G.S.), The Royal Melbourne Hospital, University of Melbourne, Parkville, Australia; Department of Neurology (S.C., M.G.L., G.W.A.), Stanford University Medical Center, CA; Departments of Diagnostic and Interventional Imaging (C.W.S., S.K., R.F.R.) and Neurology (F.S.), UTHealth McGovern Medical School, Houston, TX; and Department of Neurology (D.P.), University Hospitals Cleveland Medical Center, OH
| | - Soren Christensen
- From the Department of Neurology (A.S.), Case Western Reserve University-University Hospitals Cleveland Medical Center, OH; Department of Neurology (B.C.V.C., G.S.), The Royal Melbourne Hospital, University of Melbourne, Parkville, Australia; Department of Neurology (S.C., M.G.L., G.W.A.), Stanford University Medical Center, CA; Departments of Diagnostic and Interventional Imaging (C.W.S., S.K., R.F.R.) and Neurology (F.S.), UTHealth McGovern Medical School, Houston, TX; and Department of Neurology (D.P.), University Hospitals Cleveland Medical Center, OH
| | - Clark W Sitton
- From the Department of Neurology (A.S.), Case Western Reserve University-University Hospitals Cleveland Medical Center, OH; Department of Neurology (B.C.V.C., G.S.), The Royal Melbourne Hospital, University of Melbourne, Parkville, Australia; Department of Neurology (S.C., M.G.L., G.W.A.), Stanford University Medical Center, CA; Departments of Diagnostic and Interventional Imaging (C.W.S., S.K., R.F.R.) and Neurology (F.S.), UTHealth McGovern Medical School, Houston, TX; and Department of Neurology (D.P.), University Hospitals Cleveland Medical Center, OH
| | - Shekhar Khanpara
- From the Department of Neurology (A.S.), Case Western Reserve University-University Hospitals Cleveland Medical Center, OH; Department of Neurology (B.C.V.C., G.S.), The Royal Melbourne Hospital, University of Melbourne, Parkville, Australia; Department of Neurology (S.C., M.G.L., G.W.A.), Stanford University Medical Center, CA; Departments of Diagnostic and Interventional Imaging (C.W.S., S.K., R.F.R.) and Neurology (F.S.), UTHealth McGovern Medical School, Houston, TX; and Department of Neurology (D.P.), University Hospitals Cleveland Medical Center, OH
| | - Roy F Riascos
- From the Department of Neurology (A.S.), Case Western Reserve University-University Hospitals Cleveland Medical Center, OH; Department of Neurology (B.C.V.C., G.S.), The Royal Melbourne Hospital, University of Melbourne, Parkville, Australia; Department of Neurology (S.C., M.G.L., G.W.A.), Stanford University Medical Center, CA; Departments of Diagnostic and Interventional Imaging (C.W.S., S.K., R.F.R.) and Neurology (F.S.), UTHealth McGovern Medical School, Houston, TX; and Department of Neurology (D.P.), University Hospitals Cleveland Medical Center, OH
| | - Deep Pujara
- From the Department of Neurology (A.S.), Case Western Reserve University-University Hospitals Cleveland Medical Center, OH; Department of Neurology (B.C.V.C., G.S.), The Royal Melbourne Hospital, University of Melbourne, Parkville, Australia; Department of Neurology (S.C., M.G.L., G.W.A.), Stanford University Medical Center, CA; Departments of Diagnostic and Interventional Imaging (C.W.S., S.K., R.F.R.) and Neurology (F.S.), UTHealth McGovern Medical School, Houston, TX; and Department of Neurology (D.P.), University Hospitals Cleveland Medical Center, OH
| | - Faris Shaker
- From the Department of Neurology (A.S.), Case Western Reserve University-University Hospitals Cleveland Medical Center, OH; Department of Neurology (B.C.V.C., G.S.), The Royal Melbourne Hospital, University of Melbourne, Parkville, Australia; Department of Neurology (S.C., M.G.L., G.W.A.), Stanford University Medical Center, CA; Departments of Diagnostic and Interventional Imaging (C.W.S., S.K., R.F.R.) and Neurology (F.S.), UTHealth McGovern Medical School, Houston, TX; and Department of Neurology (D.P.), University Hospitals Cleveland Medical Center, OH
| | - Gagan Sharma
- From the Department of Neurology (A.S.), Case Western Reserve University-University Hospitals Cleveland Medical Center, OH; Department of Neurology (B.C.V.C., G.S.), The Royal Melbourne Hospital, University of Melbourne, Parkville, Australia; Department of Neurology (S.C., M.G.L., G.W.A.), Stanford University Medical Center, CA; Departments of Diagnostic and Interventional Imaging (C.W.S., S.K., R.F.R.) and Neurology (F.S.), UTHealth McGovern Medical School, Houston, TX; and Department of Neurology (D.P.), University Hospitals Cleveland Medical Center, OH
| | - Maarten G Lansberg
- From the Department of Neurology (A.S.), Case Western Reserve University-University Hospitals Cleveland Medical Center, OH; Department of Neurology (B.C.V.C., G.S.), The Royal Melbourne Hospital, University of Melbourne, Parkville, Australia; Department of Neurology (S.C., M.G.L., G.W.A.), Stanford University Medical Center, CA; Departments of Diagnostic and Interventional Imaging (C.W.S., S.K., R.F.R.) and Neurology (F.S.), UTHealth McGovern Medical School, Houston, TX; and Department of Neurology (D.P.), University Hospitals Cleveland Medical Center, OH
| | - Gregory W Albers
- From the Department of Neurology (A.S.), Case Western Reserve University-University Hospitals Cleveland Medical Center, OH; Department of Neurology (B.C.V.C., G.S.), The Royal Melbourne Hospital, University of Melbourne, Parkville, Australia; Department of Neurology (S.C., M.G.L., G.W.A.), Stanford University Medical Center, CA; Departments of Diagnostic and Interventional Imaging (C.W.S., S.K., R.F.R.) and Neurology (F.S.), UTHealth McGovern Medical School, Houston, TX; and Department of Neurology (D.P.), University Hospitals Cleveland Medical Center, OH
| |
Collapse
|
46
|
Prognostic Accuracy of CTP Summary Maps in Patients with Large Vessel Occlusive Stroke and Poor Revascularization after Mechanical Thrombectomy-Comparison of Three Automated Perfusion Software Applications. Tomography 2022; 8:1350-1362. [PMID: 35645395 PMCID: PMC9149832 DOI: 10.3390/tomography8030109] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/29/2022] [Revised: 05/06/2022] [Accepted: 05/12/2022] [Indexed: 12/30/2022] Open
Abstract
Background: Innovative automated perfusion software solutions offer support in the management of acute stroke by providing information about the infarct core and penumbra. While the performance of different software solutions has mainly been investigated in patients with successful recanalization, the prognostic accuracy of the hypoperfusion maps in cases of futile recanalization has hardly been validated. Methods: In 39 patients with acute ischemic stroke (AIS) due to large vessel occlusion (LVO) in the anterior circulation and poor revascularization (thrombolysis in cerebral infarction (TICI) 0-2a) after mechanical thrombectomy (MT), hypoperfusion analysis was performed using three different automated perfusion software solutions (A: RAPID, B: Brainomix e-CTP, C: Syngo.via). The hypoperfusion volumes (HV) as Tmax > 6 s were compared with the final infarct volumes (FIV) on follow-up CT 36−48 h after futile recanalization. Bland−Altman analysis was applied to display the levels of agreement and to evaluate systematic differences. Based on the median hypoperfusion intensity ratio (HIR, volumetric ratio of tissue with a Tmax > 10 s and Tmax > 6 s) patients were dichotomized into high- and low-HIR groups. Subgroup analysis with favorable (<0.6) and unfavorable (≥0.6) HIR was performed with respect to the FIV. HIR was correlated to clinical baseline and outcome parameters using Pearson’s correlation. Results: Overall, there was good correlation without significant differences between the HVs and the FIVs with package A (r = 0.78, p < 0.001) being slightly superior to B and C. However, levels of agreement were very wide for all software applications in Bland-Altman analysis. In cases of large infarcts exceeding 150 mL the performance of the automated software solutions generally decreased. Subgroup analysis revealed the FIV to be generally underestimated in patients with HIR ≥ 0.6 (p < 0.05). In the subgroup with favorable HIR, however, there was a trend towards an overestimation of the FIV. Nevertheless, packages A and B showed good correlation between the HVs and FIVs without significant differences (p > 0.2), while only package C significantly overestimated the FIV (−54.6 ± 56.0 mL, p = 0.001). The rate of modified Rankin Scale (mRS) 0−3 after 3 months was significantly higher in favorable vs. unfavorable HIR (42.1% vs. 13.3%, p = 0.02). Lower HIR was associated with higher Alberta Stroke Program Early CT Score (ASPECTS) at presentation and on follow-up imaging, lower risk of malignant edema, and better outcome (p < 0.05). Conclusion: Overall, the performance of the automated perfusion software solutions to predict the FIV after futile recanalization is good, with decreasing accuracy in large infarcts exceeding 150 mL. However, depending on the HIR, FIV can be significantly over- and underestimated, with Syngo showing the widest range. Our results indicate that the HIR can serve as valuable parameter for outcome predictions and facilitate the decision whether or not to perform MT in delicate cases.
Collapse
|
47
|
A tool to improve stroke outcome prediction: The charlotte large artery occlusion endovascular therapy outcome score. J Stroke Cerebrovasc Dis 2022; 31:106393. [DOI: 10.1016/j.jstrokecerebrovasdis.2022.106393] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2021] [Revised: 01/03/2022] [Accepted: 02/01/2022] [Indexed: 11/20/2022] Open
|
48
|
Hung SH, Kramer S, Werden E, Campbell BCV, Brodtmann A. Pre-stroke Physical Activity and Cerebral Collateral Circulation in Ischemic Stroke: A Potential Therapeutic Relationship? Front Neurol 2022; 13:804187. [PMID: 35242097 PMCID: PMC8886237 DOI: 10.3389/fneur.2022.804187] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/29/2021] [Accepted: 01/12/2022] [Indexed: 11/13/2022] Open
Abstract
Favorable cerebral collateral circulation contributes to hindering penumbral tissue from progressing to infarction and is associated with positive clinical outcomes after stroke. Given its clinical importance, improving cerebral collateral circulation is considered a therapeutic target to reduce burden after stroke. We provide a hypothesis-generating discussion on the potential association between pre-stroke physical activity and cerebral collateral circulation in ischemic stroke. The recruitment of cerebral collaterals in acute ischemic stroke may depend on anatomical variations, capacity of collateral vessels to vasodilate, and individual risk factors. Physical activity is associated with improved cerebral endothelial and vascular function related to vasodilation and angiogenic adaptations, and risk reduction in individual risk factors. More research is needed to understand association between cerebral collateral circulation and physical activity. A presentation of different methodological considerations for measuring cerebral collateral circulation and pre-stroke physical activity in the context of acute ischemic stroke is included. Opportunities for future research into cerebral collateral circulation, physical activity, and stroke recovery is presented.
Collapse
Affiliation(s)
- Stanley Hughwa Hung
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Melbourne, VIC, Australia
| | - Sharon Kramer
- Centre for Quality and Patient Safety Research, Alfred Health Partnership, Melbourne, VIC, Australia.,Faculty of Health, School of Nursing and Midwifery, Deakin University, Geelong, VIC, Australia
| | - Emilio Werden
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Melbourne, VIC, Australia.,Melbourne Dementia Research Centre, The Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia
| | - Bruce C V Campbell
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Melbourne, VIC, Australia.,Department of Medicine and Neurology, Melbourne Brain Centre at the Royal Melbourne Hospital, University of Melbourne, Parkville, VIC, Australia
| | - Amy Brodtmann
- The Florey Institute of Neuroscience and Mental Health, The University of Melbourne, Melbourne, VIC, Australia.,Melbourne Dementia Research Centre, The Florey Institute of Neuroscience and Mental Health, Parkville, VIC, Australia
| |
Collapse
|
49
|
Fan JL, Nogueira RC, Brassard P, Rickards CA, Page M, Nasr N, Tzeng YC. Integrative physiological assessment of cerebral hemodynamics and metabolism in acute ischemic stroke. J Cereb Blood Flow Metab 2022; 42:454-470. [PMID: 34304623 PMCID: PMC8985442 DOI: 10.1177/0271678x211033732] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/13/2022]
Abstract
Restoring perfusion to ischemic tissue is the primary goal of acute ischemic stroke care, yet only a small portion of patients receive reperfusion treatment. Since blood pressure (BP) is an important determinant of cerebral perfusion, effective BP management could facilitate reperfusion. But how BP should be managed in very early phase of ischemic stroke remains a contentious issue, due to the lack of clear evidence. Given the complex relationship between BP and cerebral blood flow (CBF)-termed cerebral autoregulation (CA)-bedside monitoring of cerebral perfusion and oxygenation could help guide BP management, thereby improve stroke patient outcome. The aim of INFOMATAS is to 'identify novel therapeutic targets for treatment and management in acute ischemic stroke'. In this review, we identify novel physiological parameters which could be used to guide BP management in acute stroke, and explore methodologies for monitoring them at the bedside. We outline the challenges in translating these potential prognostic markers into clinical use.
Collapse
Affiliation(s)
- Jui-Lin Fan
- Manaaki Mānawa - The Centre for Heart Research, Department of Physiology, Faculty of Medical & Health Sciences, University of Auckland, Auckland, New Zealand
| | - Ricardo C Nogueira
- Neurology Department, School of Medicine, Hospital das Clinicas, University of São Paulo, São Paulo, Brazil.,Neurology Department, Hospital Nove de Julho, São Paulo, Brazil
| | - Patrice Brassard
- Department of Kinesiology, Faculty of Medicine, Université Laval, Québec, Canada.,Research Center of the Institut Universitaire de Cardiologie et de Pneumologie de Québec, Québec, Canada
| | - Caroline A Rickards
- Department of Physiology & Anatomy, University of North Texas Health Science Center, Fort Worth, TX, USA
| | - Matthew Page
- Department of Radiology, Wellington Regional Hospital, Wellington, New Zealand
| | - Nathalie Nasr
- Department of Neurology, Toulouse University Hospital, NSERM UMR 1297, Toulouse, France
| | - Yu-Chieh Tzeng
- Wellington Medical Technology Group, Department of Surgery & Anaesthesia, University of Otago, Wellington, New Zealand.,Centre for Translational Physiology, Department of Surgery & Anaesthesia, University of Otago, Wellington, New Zealand
| |
Collapse
|
50
|
Nyvad J, Lerman A, Lerman LO. With a Little Help From My Friends: the Role of the Renal Collateral Circulation in Atherosclerotic Renovascular Disease. Hypertension 2022; 79:717-725. [PMID: 35135307 PMCID: PMC8917080 DOI: 10.1161/hypertensionaha.121.17960] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
The collateral circulation can adapt to bypass major arteries with limited flow and serves a crucial protective role in coronary, cerebral, and peripheral arterial disease. Emerging evidence indicates that the renal collateral circulation can similarly adapt and thereby limit kidney ischemia in atherosclerotic renovascular disease. These adaptations predominantly include recruitment of preexisting microvessels for arteriogenesis, with de novo vessel formation playing a limited role. Yet, adaptations of the renal collateral circulation in renovascular disease are often insufficient to fully compensate for the limited flow within an obstructed renal artery and may be hampered by the severity of obstruction or patient comorbidities. Experimental strategies have attempted to circumvent limitations of collateral formation and improve the prognosis of patients with various ischemic vascular territories. These have included pharmacological approaches such as endothelial growth factors, renin-angiotensin-aldosterone system blockade, and If-channel-blockers, as well as interventions like preconditioning, exercise, enhanced external counter-pulsation, and low-energy shock-wave therapy. However, few of these strategies have been implemented in atherosclerotic renovascular disease. This review summarizes current understanding regarding the development of renal collateral circulation in atherosclerotic renovascular disease. Studies are needed to apply lessons learned in other vascular beds in the setting of atherosclerotic renovascular disease to develop new treatment regimens for this patient group.
Collapse
Affiliation(s)
- Jakob Nyvad
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN. (J.N., L.O.L.).,Department of Nephrology and Hypertension, Aarhus University Hospital, Aarhus, Denmark (J.N.)
| | - Amir Lerman
- Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN. (A.L.)
| | - Lilach O Lerman
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN. (J.N., L.O.L.)
| |
Collapse
|