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Broocks G, Meyer L, Hanning U, Faizy TD, Bechstein M, Kniep H, Van Horn N, Schön G, Barow E, Thomalla G, Fiehler J, Kemmling A. Haemorrhage after thrombectomy with adjuvant thrombolysis in unknown onset stroke depends on high early lesion water uptake. Stroke Vasc Neurol 2024; 9:390-398. [PMID: 37699728 DOI: 10.1136/svn-2022-002264] [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: 12/21/2022] [Accepted: 08/29/2023] [Indexed: 09/14/2023] Open
Abstract
BACKGROUND AND PURPOSE In wake-up stroke, CT-based quantitative net water uptake (NWU) might serve as an alternative tool to MRI to guide intravenous thrombolysis with alteplase (IVT). An important complication after IVT is symptomatic intracerebral haemorrhage (sICH). As NWU directly implies ischaemic lesion progression, reflecting blood-brain barrier injury, we hypothesised that NWU predicts sICH in patients who had a ischaemic stroke undergoing thrombectomy with unknown onset. METHODS Consecutive analysis of all patients who had unknown onset anterior circulation ischaemic stroke who underwent CT at baseline and endovascular treatment between December 2016 and October 2020. Quantitative NWU was assessed on baseline CT. The primary endpoint was sICH. The association of NWU and other baseline parameters to sICH was investigated using inverse-probability weighting (IPW) analysis. RESULTS A total of 88 patients were included, of which 46 patients (52.3%) received IVT. The median NWU was 10.7% (IQR: 5.1-17.7). The proportion of patients with any haemorrhage and sICH were 35.2% and 13.6%. NWU at baseline was significantly higher in patients with sICH (19.1% vs 9.6%, p<0.0001) and the median Alberta Stroke Program Early CT Score (ASPECTS) was lower (5 vs 8, p<0.0001). Following IPW, there was no association between IVT and sICH in unadjusted analysis. However, after adjusting for ASPECTS and NWU, there was a significant association between IVT administration and sICH (14.6%, 95% CI: 3.3% to 25.6%, p<0.01). CONCLUSION In patients with ischaemic stroke with unknown onset, the combination of high NWU with IVT is directly linked to higher rates of sICH. Besides ASPECTS for evaluating the extent of the early infarct lesion, quantitative NWU could be used as an imaging biomarker to assess the degree of blood-brain barrier damage in order to predict the risk of sICH in patients with wake up stroke.
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Affiliation(s)
- Gabriel Broocks
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Lukas Meyer
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Uta Hanning
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Tobias Djamsched Faizy
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Matthias Bechstein
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Helge Kniep
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Noel Van Horn
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Gerhard Schön
- Department of Medical Biometry and Epidemiology, University Medical Center Hamburg Eppendorf, Hamburg, Germany
| | - Ewgenia Barow
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Götz Thomalla
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Jens Fiehler
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Andre Kemmling
- Department of Neuroradiology, University Marburg, Marburg, Germany
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Wang J, Xiong X, Ma Y, Yin Y, Ye J, Fu J. Higher baseline subcortical net water uptake in computed tomography predicts malignant middle cerebral artery infarction in patients with acute ischemic stroke. Clin Radiol 2024:S0009-9260(24)00411-2. [PMID: 39198107 DOI: 10.1016/j.crad.2024.08.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Revised: 07/07/2024] [Accepted: 08/01/2024] [Indexed: 09/01/2024]
Abstract
AIM The objective of this study was to assess the predictive performance of net water uptake (NWU) based on the Alberta stroke program early CT score (ASPECTS) from different ASPECT regions in relation to the development of malignant middle cerebral artery (MCA) infarction. MATERIAL AND METHODS Patients with acute ischemic stroke (AIS) of the MCA territory were retrospectively enrolled between January 2019 and July 2022. Patients were divided into two groups according to the follow-up CT after 24-48 hours: malignant and nonmalignant infarction. NWUs were measured on diverse ASPECT regions on admission non-contrast CT, namely affected ASPECTS-NWU (af-ASPECTS-NWU), subcortical ASPECTS-NWU (sc-ASPECTS-NWU), and cortical ASPECTS-NWU (c-ASPECTS-NWU). Baseline characteristics were collected for univariate analyses and multivariate regression analyses to explore the independent risk factors for malignant infarction. Receiver operating characteristic (ROC) curves were plotted and compared. RESULTS patients were included in the final analysis. Malignant MCA infarction was achieved in 42 (27.45%) patients and nonmalignant was 111 (72.55%). Compared with the nonmalignant infarction group, higher baseline National Institute of Health stroke scale (NIHSS) score, af-ASPECTS-NWU, c-ASPECTS-NWU, sc-ASPECTS-NWU, and lower ASPECTS were noted in the malignant infarction group (all P < 0.001). Multivariate logistic regression showed that only baseline sc-ASPECTS-NWU (>3.6%) was a positive factor for malignant MCA infarction. The ROC analysis indicated the highest predictive value of sc-ASPECTS-NWU for indicating malignant infarction with the area under ROC curve (AUC) 0.91. CONCLUSION Higher baseline sc-ASPECTS-NWU was a quantitative predictor for malignant MCA infarction in patients with AIS, which could be helpful for treatment decisions.
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Affiliation(s)
- J Wang
- Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou 215006, Jiangsu, China
| | - X Xiong
- Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou 215006, Jiangsu, China
| | - Y Ma
- Department of Interventional Radiology, Northern Jiangsu People's Hospital, Yangzhou 225001, Jiangsu, China
| | - Y Yin
- Department of Radiology, Northern Jiangsu People's Hospital, Yangzhou 225001, Jiangsu, China
| | - J Ye
- Department of Radiology, Northern Jiangsu People's Hospital, Yangzhou 225001, Jiangsu, China
| | - J Fu
- Department of Radiology, Northern Jiangsu People's Hospital, Yangzhou 225001, Jiangsu, China.
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Yang H, Han T, Han Y, Liu X, She Y, Xu Y, Bai L, Zhou J. Multiphase computed tomography angiography combined with inflammation index to predict clinical functional prognosis in patients with acute ischemic stroke. Clin Radiol 2024:S0009-9260(24)00406-9. [PMID: 39271306 DOI: 10.1016/j.crad.2024.07.020] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2024] [Revised: 06/11/2024] [Accepted: 07/29/2024] [Indexed: 09/15/2024]
Abstract
AIM In this study, we investigated the feasibility of the Alberta Stroke Program Early CT Score (ASPECTS) and multiphase computed tomography angiography (mCTA) lateral branch circulation grading combined with clinical and laboratory indicators to predict the clinical prognosis of patients with acute ischemic stroke after 90 days. MATERIALS AND METHODS The clinical data of 80 patients with acute anterior circulation ischemic stroke were retrospectively analyzed and divided into the good prognosis (37 cases) and poor prognosis groups (43 cases) according to their clinical function score at 90 days after discharge. Various factors, including basic imaging parameters (ASPECTS), occluded vessel location, affected side location and clinical indicators (time from onset to computed tomography examination, height, weight, body mass index, previous hypertension, and degree of hypertension and diabetes mellitus), laboratory blood rutine, and biochemical tests (white blood count, neutrophil count, lymphocyte count, neutrophil-to-lymphocyte ratio, hematocrit test, platelet count, international normalized ratio, blood glucose, triglycerides, uric acid, and D-dimer) were considered in the analysis. RESULTS Logistic regression analysis showed that the mCTA score, hypertension, and neutrophil count were significant independent predictors. CONCLUSION A nomogram of the mCTA score, hypertension, and neutrophil count may predict functional recovery after 90 days in patients with acute ischemic stroke.
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Affiliation(s)
- H Yang
- Department of Radiology, The Second Hospital of Lanzhou University, Cuiyingmen No. 82, Chengguan District, Lanzhou 730030, China; The Second Clinical Medical School, Lanzhou University, Lanzhou 730030, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou 730030, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - T Han
- The Second Clinical Medical School, Lanzhou University, Lanzhou 730030, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou 730030, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Y Han
- Department of Radiology, The Second Hospital of Lanzhou University, Cuiyingmen No. 82, Chengguan District, Lanzhou 730030, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou 730030, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - X Liu
- The Second Clinical Medical School, Lanzhou University, Lanzhou 730030, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou 730030, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Y She
- Department of Radiology, The Second Hospital of Lanzhou University, Cuiyingmen No. 82, Chengguan District, Lanzhou 730030, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou 730030, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - Y Xu
- The Second Clinical Medical School, Lanzhou University, Lanzhou 730030, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou 730030, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - L Bai
- Department of Radiology, The Second Hospital of Lanzhou University, Cuiyingmen No. 82, Chengguan District, Lanzhou 730030, China; The Second Clinical Medical School, Lanzhou University, Lanzhou 730030, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou 730030, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China
| | - J Zhou
- Department of Radiology, The Second Hospital of Lanzhou University, Cuiyingmen No. 82, Chengguan District, Lanzhou 730030, China; The Second Clinical Medical School, Lanzhou University, Lanzhou 730030, China; Key Laboratory of Medical Imaging of Gansu Province, Lanzhou 730030, China; Gansu International Scientific and Technological Cooperation Base of Medical Imaging Artificial Intelligence, Lanzhou, China.
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Wu H, Shi J, Sun X, Lu M, Liao A, Li Y, Xiao L, Zhou C, Dong W, Geng Z, Yuan L, Guo R, Chen M, Cheng X, Zhu W. Predictive effect of net water uptake on futile recanalisation in patients with acute large-vessel occlusion stroke. Clin Radiol 2024; 79:e599-e606. [PMID: 38310056 DOI: 10.1016/j.crad.2024.01.009] [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: 05/19/2023] [Revised: 12/03/2023] [Accepted: 01/06/2024] [Indexed: 02/05/2024]
Abstract
AIM To determine whether net water uptake (NWU) based on automated software evaluation could predict futile recanalisation in patients with acute anterior circulation large-vessel occlusion (LVO). MATERIALS AND METHODS Patients with acute anterior circulation LVO undergoing mechanical thrombectomy in Jinling Hospital were evaluated retrospectively. NWU and other baseline data were evaluated by performing univariate and multivariate analyses. The primary endpoint was 90-day modified Rankin scale score ≥3. A nomogram to predict poor clinical outcomes was developed based on multivariate logistic regression analysis. RESULTS Overall, 135 patients who underwent thrombectomy with a TICI grade ≥2b were enrolled. In multivariate logistic regression analysis, the following factors were identified as independent predictors of futile recanalisation: age (odds ratio [OR]: 1.055, 95 % confidence interval [CI]: 1.004-1.110, p=0.035), female (OR: 0.289, 95 % CI: 0.098-0.850, p=0.024), hypertension (OR: 3.182, 95 % CI: 1.160-8.728, p=0.025), high blood glucose level (OR: 1.36, 95 % CI: 1.087-1.701, p=0.007), admission National Institutes of Health Stroke Scale score (OR: 1.082, 95 % CI: 1.003-1.168, p=0.043), and NWU (OR: 1.312, 95 % CI: 1.038-1.659, p=0.023). CONCLUSIONS NWU based on Alberta Stroke Program Early Computed Tomography (CT) Score (ASPECTS) could be used to predict the occurrence of futile recanalisation in patients with acute anterior circulation LVO ischaemic stroke.
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Affiliation(s)
- H Wu
- Department of Neurology, Third People's Hospital of Yancheng, Yancheng 224001, Jiangsu, China; Department of Neurology, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Nanjing 210002, Jiangsu, China
| | - J Shi
- Department of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, Nanjing, Jiangsu, China
| | - X Sun
- Department of Neurology, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Nanjing 210002, Jiangsu, China
| | - M Lu
- Department of Neurology, Jinling Hospital, Nanjing Medical University, Nanjing, Jiangsu, China
| | - A Liao
- Department of Neurology, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Nanjing 210002, Jiangsu, China
| | - Y Li
- Department of Neurology, Jinling Hospital, The First School of Clinical Medicine, Southern Medical University, Nanjing, Jiangsu, China
| | - L Xiao
- Department of Neurology, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Nanjing 210002, Jiangsu, China
| | - C Zhou
- Department of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, Nanjing, Jiangsu, China
| | - W Dong
- Department of Neurology, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Nanjing 210002, Jiangsu, China
| | - Z Geng
- Department of Neurology, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Nanjing 210002, Jiangsu, China
| | - L Yuan
- Department of Neurology, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Nanjing 210002, Jiangsu, China
| | - R Guo
- Department of Neurology, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Nanjing 210002, Jiangsu, China
| | - M Chen
- Department of Neurology, Third People's Hospital of Yancheng, Yancheng 224001, Jiangsu, China
| | - X Cheng
- Department of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, Nanjing, Jiangsu, China.
| | - W Zhu
- Department of Neurology, Jinling Hospital, Medical School of Nanjing University, 305 Zhongshan East Road, Nanjing 210002, Jiangsu, China.
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Brugnara G, Engel A, Jesser J, Ringleb PA, Purrucker J, Möhlenbruch MA, Bendszus M, Neuberger U. Cortical atrophy on baseline computed tomography imaging predicts clinical outcome in patients undergoing endovascular treatment for acute ischemic stroke. Eur Radiol 2024; 34:1358-1366. [PMID: 37581657 PMCID: PMC10853300 DOI: 10.1007/s00330-023-10107-2] [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: 03/07/2023] [Revised: 06/05/2023] [Accepted: 07/01/2023] [Indexed: 08/16/2023]
Abstract
OBJECTIVE Multiple variables beyond the extent of recanalization can impact the clinical outcome after acute ischemic stroke due to large vessel occlusions. Here, we assessed the influence of small vessel disease and cortical atrophy on clinical outcome using native cranial computed tomography (NCCT) in a large single-center cohort. METHODS A total of 1103 consecutive patients who underwent endovascular treatment (EVT) due to occlusion of the middle cerebral artery territory were included. NCCT data were visually assessed for established markers of age-related white matter changes (ARWMC) and brain atrophy. All images were evaluated separately by two readers to assess the inter-observer variability. Regression and machine learning models were built to determine the predictive relevance of ARWMC and atrophy in the presence of important baseline clinical and imaging metrics. RESULTS Patients with favorable outcome presented lower values for all measured metrics of pre-existing brain deterioration (p < 0.001). Both ARWMC (p < 0.05) and cortical atrophy (p < 0.001) were independent predictors of clinical outcome at 90 days when controlled for confounders in both regression analyses and led to a minor improvement of prediction accuracy in machine learning models (p < 0.001), with atrophy among the top-5 predictors. CONCLUSION NCCT-based cortical atrophy and ARWMC scores on NCCT were strong and independent predictors of clinical outcome after EVT. CLINICAL RELEVANCE STATEMENT Visual assessment of cortical atrophy and age-related white matter changes on CT could improve the prediction of clinical outcome after thrombectomy in machine learning models which may be integrated into existing clinical routines and facilitate patient selection. KEY POINTS • Cortical atrophy and age-related white matter changes were quantified using CT-based visual scores. • Atrophy and age-related white matter change scores independently predicted clinical outcome after mechanical thrombectomy and improved machine learning-based prediction models. • Both scores could easily be integrated into existing clinical routines and prediction models.
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Affiliation(s)
- Gianluca Brugnara
- Department of Neuroradiology, Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany
- Division of Computational Neuroimaging, Heidelberg University Hospital, Heidelberg, Germany
| | - Adrian Engel
- Department of Neuroradiology, Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany
- Department of Neurosurgery, Essen University Hospital, Essen, Germany
| | - Jessica Jesser
- Department of Neuroradiology, Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany
| | | | - Jan Purrucker
- Department of Neurology, Heidelberg University Hospital, Heidelberg, Germany
| | - Markus A Möhlenbruch
- Department of Neuroradiology, Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany
| | - Martin Bendszus
- Department of Neuroradiology, Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany
| | - Ulf Neuberger
- Department of Neuroradiology, Heidelberg University Hospital, Im Neuenheimer Feld 400, 69120, Heidelberg, Germany.
- Division of Computational Neuroimaging, Heidelberg University Hospital, Heidelberg, Germany.
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Gohla G, Schwarz R, Bier G, Estler A, Bongers MN, Ditt H, Fritz J, Kemmling A, Ernemann U, Horger M. A novel fully automated method for measuring ASPECTS to improve stroke diagnosis: Comparison to traditional ASPECTS. J Neuroimaging 2024; 34:145-151. [PMID: 37807097 DOI: 10.1111/jon.13159] [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: 06/23/2023] [Revised: 09/20/2023] [Accepted: 09/24/2023] [Indexed: 10/10/2023] Open
Abstract
BACKGROUND AND PURPOSE To compare the accuracy of subjective Alberta Stroke Program Early CT Score (sASPECTS) evaluation and that of an automated prototype software (aASPECTS) on nonenhanced CT (NECT) in patients with early anterior territory stroke and controls using side-to-side quantification of hypoattenuated brain areas. METHODS We retrospectively analyzed the NECT scans of 42 consecutive patients with ischemic stroke before reperfusion and 42 controls using first sASPECTS and subsequently aASPECTS. We assessed the differences in Alberta Stroke Program Early CT Score (ASPECTS) and calculated the sensitivity and specificity of NECT with CT perfusion, whereas cerebral blood volume (CBV) served as the reference standard for brain infarction. RESULTS The clot was located in the middle cerebral artery (MCA) in 47.6% of cases and the internal carotid artery (ICA) in 28.6% of cases. Ten cases presented combined ICA and MCA occlusions. The stroke was right sided in 52.4% of cases and left sided in 47.6%. Reader-based NECT analysis yielded a median sASPECTS of 10. The median CBV-based ASPECTS was 7. Compared to the area of decreased CBV, sASPECTS yielded a sensitivity of 12.5% and specificity of 86.8%. The software prototype (aASPECTS) yielded an overall sensitivity of 65.5% and a specificity of 92.2%. The interreader agreement for ASPECTS evaluation of admission NECT and follow-up CT was almost perfect (κ = .93). The interreader agreement of the CBV color map evaluation was substantial (κ = .77). CONCLUSIONS aASPECTS of NECT can outperform sASPECTS for stroke detection.
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Affiliation(s)
- Georg Gohla
- Department of Diagnostic and Interventional Neuroradiology, Eberhard Karls-University Tübingen, Tübingen, Germany
| | - Ricarda Schwarz
- Department of Diagnostic and Interventional Radiology, Eberhard Karls-University Tübingen, Tübingen, Germany
| | - Georg Bier
- Department of Diagnostic and Interventional Neuroradiology, Eberhard Karls-University Tübingen, Tübingen, Germany
- Radiology Salzstraße, Muenster, Germany
| | - Arne Estler
- Department of Diagnostic and Interventional Neuroradiology, Eberhard Karls-University Tübingen, Tübingen, Germany
| | - Malte N Bongers
- Department of Diagnostic and Interventional Radiology, Eberhard Karls-University Tübingen, Tübingen, Germany
| | - Hendrik Ditt
- Siemens AG Healthcare; Imaging & Therapy Systems Computed Tomography & Radiation Oncology, Forchheim, Germany
| | - Jan Fritz
- Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
| | - André Kemmling
- Institute of Neuroradiology, Philipps University of Marburg, Marburg, Germany
| | - Ulrike Ernemann
- Department of Diagnostic and Interventional Neuroradiology, Eberhard Karls-University Tübingen, Tübingen, Germany
| | - Marius Horger
- Department of Diagnostic and Interventional Radiology, Eberhard Karls-University Tübingen, Tübingen, Germany
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Alzahrani A, Zhang X, Albukhari A, Wardlaw JM, Mair G. Assessing Brain Tissue Viability on Nonenhanced Computed Tomography After Ischemic Stroke. Stroke 2023; 54:558-566. [PMID: 36601950 PMCID: PMC9855746 DOI: 10.1161/strokeaha.122.041241] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2022] [Revised: 11/11/2022] [Accepted: 11/23/2022] [Indexed: 01/06/2023]
Abstract
BACKGROUND Treatment for ischemic stroke can be offered beyond conventional time limits for patients with favorable computed tomography perfusion (CTP), but this is not universally available. We sought a threshold for brain attenuation on nonenhanced computed tomography (NECT) to differentiate CTP-defined penumbra vs core, and correlated NECT features with CTP. METHODS We retrospectively assessed consecutive patients presenting to King Abdulaziz University Hospital with ischemic stroke (2017-2020), baseline NECT, and a visible defect on concurrent CTP. Using CTP as the reference standard, we measured the attenuation of ischemic and healthy contralateral brain on NECT to produce attenuation ratios (ischemic/normal) for penumbra and core. We used area under the receiver operating characteristic curve to estimate the optimal computed tomography (CT) attenuation ratio for penumbra. Per patient, we qualitatively assessed 8 regions within the affected cerebral hemisphere: on NECT as normal, hypoattenuating (with/out swelling), or isolated swelling and on CTP as normal, penumbra, or core. We sought associations between isolated swelling and penumbra, and between hypoattenuation and core. RESULTS We include 142 patients (86 male), mean age 61±14 years. Median 261 minutes (interquartile range, 173-382) to NECT. We measured 206 ischemic lesions (124 penumbra, 82 core). Optimal CT attenuation ratio for identifying penumbra was >0.87, with 86% sensitivity 91% specificity (area under the receiver operating characteristic curve, 0.95 [95% CI, 0.92-0.98]; P<0.0001). We qualitatively assessed 976 cerebral regions (72 isolated swelling, 254 hypoattenuation). On NECT, isolated swelling usually corresponded to CTP penumbra (70/72, 97%), whereas visible NECT hypoattenuation was found with core (141/254, 56%) and penumbra (109/254, 43%). CTP core lesions were rarely normal on NECT (13/155, 8%). CONCLUSIONS After ischemic stroke, brain tissue viability can be assessed using NECT. Isolated swelling is highly specific to penumbra. Visible hypoattenuation does not always represent core, nearly half of such lesions were penumbral on concurrent CTP and can be differentiated by measuring lesion attenuation.
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Affiliation(s)
- Awad Alzahrani
- Centre for Clinical Brain Sciences, University of Edinburgh, United Kingdom (A. Alzahrani)
- Department of Diagnostic Radiology, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah, Saudi Arabia (A. Alzahrani)
| | - Xinyu Zhang
- School of Medicine, University of Dundee, United Kingdom (X.Z.)
| | - Adel Albukhari
- Department of Radiology, King Abdulaziz University Hospital, Jeddah, Saudi Arabia (A. Albukhari)
| | - Joanna M. Wardlaw
- Edinburgh Imaging, and UK Dementia Research Institute at the University of Edinburgh and Centre for Clinical Brain Sciences, University of Edinburgh, United Kingdom (J.M.W., G.M.)
| | - Grant Mair
- Edinburgh Imaging, and UK Dementia Research Institute at the University of Edinburgh and Centre for Clinical Brain Sciences, University of Edinburgh, United Kingdom (J.M.W., G.M.)
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Li J, Peng Y, Liu J, Wu J, Yao Y, Gu S, Zhang Z, Li Y, Wang J, Li Y. Estimation of ischemic core in acute ischemic stroke with CT angiography and non-contrast CT: Attenuation changes in ASPECTS regions vs. automated ASPECTS scoring. Front Neurosci 2022; 16:933753. [PMID: 35958990 PMCID: PMC9360489 DOI: 10.3389/fnins.2022.933753] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/01/2022] [Accepted: 06/28/2022] [Indexed: 12/04/2022] Open
Abstract
Purpose Reperfusion therapies for acute ischemic stroke due to large-vessel occlusion (AIS-LVO) are highly time-dependent, and large infarction is related to poor outcomes and risk of symptomatic hemorrhage. It is of significance to investigate and optimize the screening means and selection criteria for reperfusion therapies to identify more appropriate patients with better outcomes. This study aimed to compare the performance of attenuation changes vs. automated Alberta Stroke Program Early CT Score (ASPECTS) and using CT angiography (CTA) source images vs. non-contrast CT (NCCT) in distinguishing the infarction extent of ischemic core volumes ≥ 70 ml within different time windows. Methods A total of 73 patients with AIS-LVO who received multimodal CT were analyzed. The automated software was used to calculate ASPECTS. Attenuation change was defined as the sum of products of relative Hounsfield unit (rHU) values times weighting factors of all 10 ASPECTS regions. rHU value of each region was the HU of the ischemic side over that of the contralateral. The corresponding weighting factors were the regression coefficients derived from a multivariable linear regression model which was used to correlate regional rHU with ischemic core volumes, because each region in the ASPECTS template is weighted disproportionally in the ASPECTS system. Automated ASPECTS and attenuation changes were both calculated using CTA and NCCT, respectively. Results Attenuation changes were correlated with ischemic core volumes within different time windows (Rho ranging from 0.439 to 0.637). In classification of the ischemic core ≥ 70 ml, the performances of attenuation changes were comparable with ASPECTS (area under the curve [AUC] ranging from 0.799 to 0.891), with DeLong’s test (P = 0.079, P = 0.373); using CTA (AUC = 0.842) was not different from NCCT (AUC = 0.838). Conclusion Attenuation changes in ASPECTS regions were correlated with ischemic core volumes. In the classification of infarction volumes, attenuation changes had a high diagnostic ability comparable with automated ASPECTS. Measurement of attenuation changes is not involved in complicated scoring algorithms. This measurement can be used as an available, rapid, reliable, and accurate means to evaluate infarction extent within different time windows. The usefulness of infarction volumes measured by attenuation changes to identify more appropriate patients for reperfusion therapies can be validated in future clinical trials.
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Affiliation(s)
- Jing Li
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Medical Imaging Center, Central Hospital of Shaoyang, Shaoyang, China
| | - Yuling Peng
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jiayang Liu
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Jiajing Wu
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yunzhuo Yao
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Sirun Gu
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Zhiwei Zhang
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Yi Li
- Artificial Intelligence and Clinical Innovation Research, Neusoft Research of Intelligent Healthcare Technology, Co., Ltd., Shanghai, China
| | - Jingjie Wang
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- *Correspondence: Jingjie Wang,
| | - Yongmei Li
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
- Yongmei Li,
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9
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New imaging score for outcome prediction in basilar artery occlusion stroke. Eur Radiol 2022; 32:4491-4499. [PMID: 35333974 DOI: 10.1007/s00330-022-08684-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/17/2021] [Revised: 01/13/2022] [Accepted: 02/20/2022] [Indexed: 11/04/2022]
Abstract
OBJECTIVE In ischemic posterior circulation stroke, the utilization of standardized image scores is not established in daily clinical practice. We aimed to test a novel imaging score that combines the collateral status with the rating of the posterior circulation Acute Stroke Prognosis Early CT score (pcASPECTS). We hypothesized that this score (pcASCO) predicts functional outcome and malignant cerebellar edema (MCE). METHODS Ischemic stroke patients with acute BAO who received multimodal-CT and underwent thrombectomy on admission at two comprehensive stroke centers were analyzed. The posterior circulation collateral score by van der Hoeven et al was added to the pcASPECTS to define pcASCO as a 20-point score. Multivariable logistic regression analyses were performed to predict functional independence at day 90, assessed using modified Rankin Scale scores, and occurrence of MCE in follow-up CT using the established Jauss scale score as endpoints. RESULTS A total of 118 patients were included, of which 84 (71%) underwent successful thrombectomy. Based on receiver operating characteristic curve analysis, pcASCO ≥ 14 classified functional independence with higher discriminative power (AUC: 0.83, 95%CI: 0.71-0.91) than pcASPECTS (AUC: 0.74). In multivariable logistic regression analysis, pcASCO was significantly and independently associated with functional independence (aOR: 1.91, 95%CI: 1.25-2.92, p = 0.003), and MCE (aOR: 0.71, 95%CI: 0.53-0.95, p = 0.02). CONCLUSION The pcASCO could serve as a simple and feasible imaging tool to assess BAO stroke patients on admission and might be tested as a complementary tool to select patients for thrombectomy in uncertain situations, or to predict clinical outcome. KEY POINTS • The neurological assessment of basilar artery occlusion stroke patients can be challenging and there are yet no validated imaging scores established in daily clinical practice. • The pcASCO combines the rating of early ischemic changes with the status of the intracranial posterior circulation collaterals. • The pcASCO showed high diagnostic accuracy to predict functional outcome and malignant cerebellar edema and could serve as a simple and feasible imaging tool to support treatment selection in uncertain situations, or to predict clinical outcome.
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10
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Automated quantitative lesion water uptake in acute stroke is a predictor of malignant cerebral edema. Eur Radiol 2022; 32:2771-2780. [PMID: 34989845 DOI: 10.1007/s00330-021-08443-2] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 08/23/2021] [Accepted: 09/29/2021] [Indexed: 11/04/2022]
Abstract
OBJECTIVES Net water uptake (NWU) has been shown to have a linear relationship with brain edema. Based on an automated-Alberta Stroke Program Early Computed Tomography Score (ASPECTS) technique, we automatically derived NWU from baseline multimodal computed tomography (CT), namely ASPECTS-NWU. We aimed to determine if ASPECTS-NWU can predict the development of malignant cerebral edema (MCE). METHODS One hundred and forty-six patients with large-vessel occlusion were retrospectively enrolled. Quantitative NWU based on automated-ASPECTS was measured both on nonenhanced CT (NECT) and CT angiography (CTA), namely NECT-ASPECT-NWU and CTA-ASPECTS-NWU. The correlation between ASPECTS-NWU and cerebral edema (CED) grades was calculated using Spearman rank correlation. Univariate logistic regression was used to assess the effect of radiological and clinical features on MCE, and a multivariable model with significant factors from the univariate regression analysis was built. Receiver operating characteristic (ROC) was obtained and area under curve (AUC) was compared. RESULTS CTA-ASPECTS-NWU had a moderate positive correlation with CED grades (r = 0.62; 95% confidence interval [CI], 0.51-0.71; p < 0.001). The CTA-ASPECTS-NWU performed better than the NECT-ASPECTS-NWU with AUC: 0.88 vs. 0.71 (p < 0.001). Multivariable logistic regression model integrating CTA-ASPECTS-NWU, collateral score, and age showed the CTA-ASPECTS-NWU was an independent predictor of MCE with an AUC of 0.94 (95% CI: 0.90-0.98; p < 0.001). CONCLUSIONS This study demonstrates that ASPECTS-NWU is a quantitative predictor of MCE after large-vessel occlusion of the middle cerebral artery territory. The multivariable logistic regression model may enhance the identification of patients with MCE needing anti-edematous treatment. KEY POINTS • The automated-ASPECTS technique can automatically detect the affected regions with early ischemic changes and NWU could be manually calculated. • The CTA-ASPECTS-NWU performs better than the NECT-ASPECTS-NWU on predicting the development of MCE. • The multivariable logistic regression model may enhance the identification of patients with MCE needing anti-edematous treatment.
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11
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Impact of Encephalomalacia and White Matter Hyperintensities on ASPECTS in Patients With Acute Ischemic Stroke: Comparison of Automated- and Radiologist-Derived Scores. AJR Am J Roentgenol 2021; 218:878-887. [PMID: 34910537 DOI: 10.2214/ajr.21.26819] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/18/2022]
Abstract
Background: Automated software-based Alberta Stroke Program Early CT Score (ASPECTS) on unenhanced CT is associated with clinical outcomes after acute stroke. However, encephalomalacia or white matter hyperintensities (WMHs) may result in a falsely low automated ASPECTS if such findings are interpreted as early ischemia. Objective: To assess the impact of encephalomalacia and WMH on automated ASPECTS in patients with acute stroke, in comparison with radiologist-derived ASPECTS and clinical outcomes. Methods: This retrospective three-center study included 459 patients (322 men, 137 women; median age, 65 years) with acute ischemic stroke treated by IV thrombolysis who underwent baseline unenhanced CT within 6 hours after symptom onset and MRI within 24 hours after treatment. ASPECTS was determined by automated software and by three radiologists in consensus. Presence of encephalomalacia and extent of WMHs [categorized using the modified Scheltens scale (mSS)] were also determined using MRI. Kappa coefficients were used to compare ASPECTS between automated and radiologist-consensus methods. Multivariable logistic regression analyses and ROC analyses were performed to explore the predictive utility of baseline ASPECTS for unfavorable clinical outcome (90-day modified Rankin Scale score of 3-6) after thrombolysis. Results: Median automated ASPECTS was 9, and median radiologist-consensus ASPECTS was 10. Agreement between automated and radiologist-consensus ASPECTS, expressed as kappa, was 0.68, though was 0.76 in patients without encephalomalacia and 0.08 in patients with encephalomalacia. In patients without encephalomalacia, agreement decreased as the mSS score increased (e.g., 0.78 in subgroup with mSS score <10 vs 0.19 in subgroup with mSS >20). By anatomic region, agreement was highest for M5 (κ=0.52) and lowest for internal capsule (κ=0.18). In multivariable analyses, both automated (odds ratio=0.69) and radiologist-consensus (odds ratio=0.57) ASPECTS independently predicted unfavorable clinical outcome. For unfavorable outcome, automated ASPECTS had AUC of 0.70, sensitivity of 60.4%, and specificity of 71.0%, while radiologist-consensus ASPECTS had AUC of 0.72, sensitivity of 60.4%, and specificity of 80.5%. Conclusion: Presence of encephalomalacia or extensive WMH results in lower automated ASPECTS than radiologist-consensus ASPECTS, which may impact predictive utility of automated ASPECTS. Clinical Impact: When using automated ASPECTS, radiologists should manually confirm the score in patients with encephalomalacia or extensive leukoencephalopathy.
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12
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Reidler P, Stueckelschweiger L, Puhr-Westerheide D, Feil K, Kellert L, Dimitriadis K, Tiedt S, Herzberg M, Rémi J, Liebig T, Fabritius MP, Kunz WG. Performance of Automated Attenuation Measurements at Identifying Large Vessel Occlusion Stroke on CT Angiography. Clin Neuroradiol 2021; 31:763-772. [PMID: 32939563 PMCID: PMC8463515 DOI: 10.1007/s00062-020-00956-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/07/2020] [Accepted: 08/17/2020] [Indexed: 12/12/2022]
Abstract
PURPOSE Computed tomography angiography (CTA) is routinely used to detect large-vessel occlusion (LVO) in patients with suspected acute ischemic stroke; however, visual analysis is time consuming and prone to error. To evaluate solutions to support imaging triage, we tested performance of automated analysis of CTA source images (CTASI) at identifying patients with LVO. METHODS Stroke patients with LVO were selected from a prospectively acquired cohort. A control group was selected from consecutive patients with clinically suspected stroke without signs of ischemia on CT perfusion (CTP) or infarct on follow-up. Software-based automated segmentation and Hounsfield unit (HU) measurements were performed on CTASI for all regions of the Alberta Stroke Program Early CT score (ASPECTS). We derived different parameters from raw measurements and analyzed their performance to identify patients with LVO using receiver operating characteristic curve analysis. RESULTS The retrospective analysis included 145 patients, 79 patients with LVO stroke and 66 patients without stroke. The parameters hemispheric asymmetry ratio (AR), ratio between highest and lowest regional AR and M2-territory AR produced area under the curve (AUC) values from 0.95-0.97 (all p < 0.001) for detecting presence of LVO in the total population. Resulting sensitivity (sens)/specificity (spec) defined by the Youden index were 0.87/0.97-0.99. Maximum sens/spec defined by the specificity threshold ≥0.70 were 0.91-0.96/0.77-0.83. Performance in a small number of patients with isolated M2 occlusion was lower (AUC: 0.72-0.85). CONCLUSION Automated attenuation measurements on CTASI identify proximal LVO stroke patients with high sensitivity and specificity. This technique can aid in accurate and timely patient selection for thrombectomy, especially in primary stroke centers without CTP capacity.
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Affiliation(s)
- Paul Reidler
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany.
| | - Lena Stueckelschweiger
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
| | - Daniel Puhr-Westerheide
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
| | - Katharina Feil
- Department of Neurology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
- German Center for Vertigo and Balance Disorders, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
| | - Lars Kellert
- Department of Neurology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
| | - Konstantinos Dimitriadis
- Department of Neurology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
- Institute for Stroke and Dementia Research, LMU Munich, Feodor-Lynen-Str. 17, 81377, Munich, Germany
| | - Steffen Tiedt
- Institute for Stroke and Dementia Research, LMU Munich, Feodor-Lynen-Str. 17, 81377, Munich, Germany
| | - Moriz Herzberg
- Department of Neuroradiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
| | - Jan Rémi
- Department of Neurology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
| | - Thomas Liebig
- Department of Neuroradiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
| | - Matthias P Fabritius
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
| | - Wolfgang G Kunz
- Department of Radiology, University Hospital, LMU Munich, Marchioninistr. 15, 81377, Munich, Germany
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13
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Automated ASPECTS for multi-modality CT predict infarct extent and outcome in large-vessel occlusion stroke. Eur J Radiol 2021; 143:109899. [PMID: 34392005 DOI: 10.1016/j.ejrad.2021.109899] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2021] [Revised: 06/05/2021] [Accepted: 08/03/2021] [Indexed: 11/23/2022]
Abstract
PURPOSE This study aimed to use the automated Alberta Stroke Program Early CT Score (ASPECTS) software to assess the value of different CT modalities (non-contrast CT, CT angiography [CTA]-arterial, CTA-venous, and arterial- and venous-phase mismatch-ASPECTS) in predicting the final infarct extent and clinical outcome in large-vessel occlusion stroke. METHODS This retrospective study included patients with large-vessel occlusion stroke who underwent reperfusion therapy during 2015 to 2019. Correlations between different CT-ASPECTS modalities and follow-up CT-ASPECTS and outcome were determined using Spearman rank correlation coefficient. Receiver operating characteristic curve analysis was used to assess the ability of different CT-ASPECTS modalities to identify patients with good outcomes. RESULTS One hundred and thirty-five patients were included. We found almost-perfect correlation between CTA-venous-ASPECTS and follow-up CT-ASPECTS (r = 0.92; 95% CI: 0.89-0.95), better than that in other CT modalities. The 90-day modified Rankin scale (mRS) score substantially correlated with CTA-venous-ASPECTS (r = -0.64; 95% CI: -0.73 to -0.52). The ROC curve analysis showed CTA-venous-ASPECTS had the highest area under the curve (AUC: 0.82; 95% CI: 0.75-0.89; P < 0.001), followed by mismatch-ASPECTS (AUC: 0.75; 95% CI: 0.65-0.85; P < 0.001). When emphasizing the sensitivity for identifying patients with good outcomes, the best cut-off point of mismatch-ASPECTS was -3 with the highest sensitivity (91.30%). CONCLUSIONS CTA-venous-ASPECTS is a reliable tool to predict the infarct extent and outcome. Furthermore, mismatch-ASPECTS may represent images in different angiographic phases and was sensitive for prognosis prediction.
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Controversies in Imaging of Patients with Acute Ischemic Stroke: AJR Expert Panel Narrative Review. AJR Am J Roentgenol 2021; 217:1027-1037. [PMID: 34106758 DOI: 10.2214/ajr.21.25846] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/07/2023]
Abstract
The development of reperfusion therapies has profoundly impacted stroke care, initially with the advent of IV thrombolytic (IVT) treatment and, more recently, with the development and refinement of endovascular treatment (EVT). Progress in neuroimaging has supported the paradigm shift of stroke care, and advanced neuroimaging now has a fundamental role in triaging patients for both IVT and EVT. As the standard of care for acute ischemic stroke (AIS) evolves, controversies remain in certain clinical scenarios. This article explores the use of multimodality imaging for treatment selection of AIS in the context of recent guidelines, highlighting controversial topics and providing guidance for clinical practice. Results of major randomized trials supporting EVT are reviewed. Advantages and disadvantages of CT, CTA, MRI, and MRA in stroke diagnosis are summarized, with attention to level 1 evidence supporting the role of vascular imaging and perfusion imaging. Patient selection is compared between approaches based on time thresholds and physiologic approaches based on infarct core measurement using imaging. Moreover, various imaging approaches to core measurement are described. As ongoing studies push treatment boundaries, advanced imaging is expected to help identify a widening range of patients who may benefit from therapy.
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15
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Desai SM, Ortega-Gutierrez S, Sheth SA, Farooqui M, Lopez-Rivera V, Zevallos C, Salazar-Marioni S, Quispe-Orozco D, Abdelkhaliq R, Tonetti DA, Jovin TG, Jadhav AP. Clinically Approximated Hypoperfused Tissue in Large Vessel Occlusion Stroke. Stroke 2021; 52:2109-2114. [PMID: 33971743 DOI: 10.1161/strokeaha.120.033294] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
[Figure: see text].
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Affiliation(s)
- Shashvat M Desai
- Department of Neurology (S.M.D., A.P.J.), University of Pittsburgh Medical Center, PA
| | | | - Sunil A Sheth
- Department of Neurology, UTHealth McGovern Medical School, Houston, TX (S.A.S., V.L.-R., S.S.-M., R.A.)
| | - Mudassir Farooqui
- Department of Neurology, University of Iowa, Iowa City (S.O.-G., M.F., C.Z., D.Q.O.)
| | - Victor Lopez-Rivera
- Department of Neurology, UTHealth McGovern Medical School, Houston, TX (S.A.S., V.L.-R., S.S.-M., R.A.)
| | - Cynthia Zevallos
- Department of Neurology, University of Iowa, Iowa City (S.O.-G., M.F., C.Z., D.Q.O.)
| | - Sergio Salazar-Marioni
- Department of Neurology, UTHealth McGovern Medical School, Houston, TX (S.A.S., V.L.-R., S.S.-M., R.A.)
| | - Darko Quispe-Orozco
- Department of Neurology, University of Iowa, Iowa City (S.O.-G., M.F., C.Z., D.Q.O.)
| | - Rania Abdelkhaliq
- Department of Neurology, UTHealth McGovern Medical School, Houston, TX (S.A.S., V.L.-R., S.S.-M., R.A.)
| | - Daniel A Tonetti
- Department of Neurosurgery (D.A.T.), University of Pittsburgh Medical Center, PA
| | - Tudor G Jovin
- Department of Neurology, Cooper University Hospital, Camden, NJ (T.G.J.)
| | - Ashutosh P Jadhav
- Department of Neurology (S.M.D., A.P.J.), University of Pittsburgh Medical Center, PA
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16
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Cheng X, Wu H, Shi J, Dong Z, Liu J, Zhou C, Liu Q, Su X, Shi Z, Li Y, Xiao L, Zhu W, Lu G. ASPECTS-based net water uptake as an imaging biomarker for lesion age in acute ischemic stroke. J Neurol 2021; 268:4744-4751. [PMID: 33934213 DOI: 10.1007/s00415-021-10584-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2021] [Revised: 04/24/2021] [Accepted: 04/26/2021] [Indexed: 10/21/2022]
Abstract
OBJECTIVE We assessed the value of computed tomography (CT) and automated Alberta Stroke Program Early CT Score (ASPECTS) with net water uptake (NWU) to predict stroke onset time. METHODS Two-hundred forty stroke patients with anterior circulation large-vessel occlusion were included. CT-ASPECTS-NWU values were calculated by comparing the mean Hounsfield units of affected ASPECTS regions with unaffected contralateral regions. The correlation between ASPECTS-NWU and stroke onset to CT time was assessed. ASPECTS-NWU predictive values were calculated to identify a stroke onset to CT time of within 4.5/6 h. RESULTS A correlation existed between stroke onset to CT time and ASPECTS-NWU (r = 0.65, p < 0.001), which was affected by collateral status and infarct location. The area under the receiver operating characteristic (ROC) curve (AUC) for distinguishing a stroke onset to CT time of within 4.5 h was 0.837 (95% confidence interval [CI] 0.784-0.881; optimal cutoff 7%; sensitivity 87.10%; specificity 62.36%). The multi-index AUC was 0.884 (95% CI 0.837-0.922). The AUC for distinguishing a stroke onset to CT time of within 6 h was 0.836 (95% CI 0.783-0.880; optimal cutoff 9%; sensitivity 72.73%; specificity 81.16%). The multi-index AUC was 0.881 (95% CI 0.834-0.920). CONCLUSIONS ASPECTS-NWU may be used to determine stroke onset time in patients with unwitnessed or wake-up stroke.
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Affiliation(s)
- XiaoQing Cheng
- Department of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, 305 Zhongshan East Road, Nanjing, 210002, Jiangsu, China
| | - Hang Wu
- Department of Neurology, Jinling Hospital, Medical School of Nanjing University, Nanjing, China
| | - JiaQian Shi
- Department of Medical Imaging, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Zheng Dong
- Department of Medical Imaging, Xuzhou Medical University, Xuzhou, Jiangsu, China
| | - Jia Liu
- Department of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, 305 Zhongshan East Road, Nanjing, 210002, Jiangsu, China
| | - ChangSheng Zhou
- Department of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, 305 Zhongshan East Road, Nanjing, 210002, Jiangsu, China
| | - QuanHui Liu
- Department of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, 305 Zhongshan East Road, Nanjing, 210002, Jiangsu, China
| | - XiaoQin Su
- Department of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, 305 Zhongshan East Road, Nanjing, 210002, Jiangsu, China
| | - Zhao Shi
- Department of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, 305 Zhongshan East Road, Nanjing, 210002, Jiangsu, China
| | - YingLe Li
- Department of Neurology, The First School of Clinical Medicine, Jinling Hospital, Southern Medical University, Nanjing, China
| | - LuLu Xiao
- Department of Neurology, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China
| | - WuSheng Zhu
- Department of Neurology, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China.
| | - GuangMing Lu
- Department of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, 305 Zhongshan East Road, Nanjing, 210002, Jiangsu, China. .,Department of Medical Imaging, Xuzhou Medical University, Xuzhou, Jiangsu, China.
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17
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Zhu Z, Zhang R, Ren K, Cong R, Zhu X, Zhu L, Wang T. The prognosis prediction significance of Hounsfield unit value for stroke patients treated by intravenous thrombolysis. BMC Med Imaging 2021; 21:62. [PMID: 33827465 PMCID: PMC8028233 DOI: 10.1186/s12880-021-00592-6] [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: 10/08/2020] [Accepted: 03/24/2021] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND Intravenous thrombolysis (IVT) is a rapid and effective treatment in the early stage of ischemic stroke patients and the purpose of this work is to explore the significance of Hounsfield unit (HU) value in Alberta Stroke Program Early CT Score (ASPECTS) for predicting the clinical prognosis of stroke patients with middle cerebral artery occlusion (MCAO) treated by IVT. METHODS The 84 stroke patients with MCAO treated by IVT were divided into good prognosis group (48 cases) and poor prognosis group (36 cases). HU ratio and HU difference calculated from non-contrast computed tomography between groups were analyzed. RESULTS The HU ratio of good prognosis group was higher than that in poor prognosis group and the HU difference of good prognosis group was lower than that in poor prognosis group (P < 0.05). The HU ratio and ASPECTS were negatively correlated with the infarct volume, and the HU difference was positively correlated with the infarct volume (P < 0.05). HU difference was an independent risk factor for prognosis of patients with MCAO treated by IVT. The area under the receiver operating characteristic curve of HU ratio and HU difference for prognosis was 0.743 and 0.833 respectively. CONCLUSION The HU value changes are related to the clinical prognosis of stroke patients with MCAO treated by IVT, HU value may be a prognostic indicator for stroke patients with MCAO treated by IVT.
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Affiliation(s)
- Zhengqi Zhu
- Department of Radiology, The Second Affiliated Hospital of Nantong University, 6 Haierxiang North Road, Nantong, 226001, Jiangsu, China
| | - Ru Zhang
- Department of Radiology, The Second Affiliated Hospital of Nantong University, 6 Haierxiang North Road, Nantong, 226001, Jiangsu, China
| | - Kaixuan Ren
- Department of Radiology, The Second Affiliated Hospital of Nantong University, 6 Haierxiang North Road, Nantong, 226001, Jiangsu, China
| | - Ruochen Cong
- Department of Radiology, The Second Affiliated Hospital of Nantong University, 6 Haierxiang North Road, Nantong, 226001, Jiangsu, China
| | - Xiangyang Zhu
- Department of Neurology, The Second Affiliated Hospital of Nantong University, Nantong, 226001, China
| | - Li Zhu
- Department of Radiology, The Second Affiliated Hospital of Nantong University, 6 Haierxiang North Road, Nantong, 226001, Jiangsu, China
| | - Tianle Wang
- Department of Radiology, The Second Affiliated Hospital of Nantong University, 6 Haierxiang North Road, Nantong, 226001, Jiangsu, China.
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18
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He G, Wei L, Lu H, Li Y, Zhao Y, Zhu Y. Advances in imaging acute ischemic stroke: evaluation before thrombectomy. Rev Neurosci 2021; 32:495-512. [PMID: 33600678 DOI: 10.1515/revneuro-2020-0061] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Accepted: 08/05/2020] [Indexed: 11/15/2022]
Abstract
Recent advances in neuroimaging have demonstrated significant assessment benefits and appropriate triage of patients based on specific clinical and radiological features in the acute stroke setting. Endovascular thrombectomy is arguably the most important aspect of acute stroke management with an extended time window. Imaging-based physiological information may potentially shift the treatment paradigm from a rigid time-based model to a more flexible and individualized, tissue-based approach, increasing the proportion of patients amenable to treatment. Various imaging modalities are routinely used in the diagnosis and management of acute ischemic stroke, including multimodal computed tomography (CT) and magnetic resonance imaging (MRI). Therefore, these imaging methods should provide information beyond the presence or absence of intracranial hemorrhage as well as the presence and extent of the ischemic core, collateral circulation and penumbra in patients with neurological symptoms. Target mismatch may optimize selection of patients with late or unknown symptom onset who would potentially be eligible for revascularization therapy. The purpose of this study was to provide a comprehensive review of the current evidence about efficacy and theoretical basis of present imaging modalities, and explores future directions for imaging in the management of acute ischemic stroke.
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Affiliation(s)
- Guangchen He
- Department of Radiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, No. 600, Yishan Road, Shanghai200233, China
| | - Liming Wei
- Department of Radiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, No. 600, Yishan Road, Shanghai200233, China
| | - Haitao Lu
- Department of Radiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, No. 600, Yishan Road, Shanghai200233, China
| | - Yuehua Li
- Department of Radiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, No. 600, Yishan Road, Shanghai200233, China
| | - Yuwu Zhao
- Department of Neurology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, No. 600, Yishan Road, Shanghai200233, China
| | - Yueqi Zhu
- Department of Radiology, Shanghai Jiao Tong University Affiliated Sixth People's Hospital, No. 600, Yishan Road, Shanghai200233, China
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Broocks G, Leischner H, Hanning U, Flottmann F, Faizy TD, Schön G, Sporns P, Thomalla G, Kamalian S, Lev MH, Fiehler J, Kemmling A. Lesion Age Imaging in Acute Stroke: Water Uptake in CT Versus DWI-FLAIR Mismatch. Ann Neurol 2020; 88:1144-1152. [PMID: 32939824 DOI: 10.1002/ana.25903] [Citation(s) in RCA: 42] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2019] [Revised: 09/14/2020] [Accepted: 09/14/2020] [Indexed: 11/11/2022]
Abstract
PURPOSE In acute ischemic stroke with unknown time of onset, magnetic resonance (MR)-based diffusion-weighted imaging (DWI) and fluid-attenuated inversion recovery (FLAIR) estimates lesion age to guide intravenous thrombolysis. Computed tomography (CT)-based quantitative net water uptake (NWU) may be a potential alternative. The purpose of this study was to directly compare CT-based NWU to magnetic resonance imaging (MRI) at identifying patients with lesion age < 4.5 hours from symptom onset. METHODS Fifty patients with acute anterior circulation stroke were analyzed with both imaging modalities at admission between 0.5 and 8.0 hours after known symptom onset. DWI-FLAIR lesion mismatch was rated and NWU was measured in admission CT. An established NWU threshold (11.5%) was used to classify patients within and beyond 4.5 hours. Multiparametric MRI signal was compared with NWU using logistic regression analyses. The empirical distribution of NWU was analyzed in a consecutive cohort of patients with wake-up stroke. RESULTS The median time between CT and MRI was 35 minutes (interquartile range [IQR] = 24-50). The accuracy of DWI-FLAIR mismatch was 68.8% (95% confidence interval [CI] = 53.7-81.3%) with a sensitivity of 58% and specificity of 82%. The accuracy of NWU threshold was 86.0% (95% CI = 73.3-94.2%) with a sensitivity of 91% and specificity of 78%. The area under the curve (AUC) of multiparametric MRI signal to classify lesion age <4.5 hours was 0.86 (95% CI = 0.64-0.97), and the AUC of quantitative NWU was 0.91 (95% CI = 0.78-0.98). Among 87 patients with wake-up stroke, 46 patients (53%) showed low NWU (< 11.5%). CONCLUSION The predictive power of CT-based lesion water imaging to identify patients within the time window of thrombolysis was comparable to multiparametric DWI-FLAIR MRI. A significant proportion of patients with wake-up stroke exhibit low NWU and may therefore be potentially suitable for thrombolysis. ANN NEUROL 2020;88:1144-1152.
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Affiliation(s)
- Gabriel Broocks
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Hannes Leischner
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Uta Hanning
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Fabian Flottmann
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Tobias D Faizy
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany.,Department of Radiology, Stanford University, Stanford, CA, USA
| | - Gerhard Schön
- Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Peter Sporns
- Department of Neuroradiology, University Hospital Basel, Basel, Switzerland
| | - Götz Thomalla
- Department of Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Shahmir Kamalian
- Division of Neuroradiology, Harvard Medical School and Massachusetts General Hospital, Boston, MA, USA
| | - Michael H Lev
- Division of Neuroradiology, Harvard Medical School and Massachusetts General Hospital, Boston, MA, USA
| | - Jens Fiehler
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Andre Kemmling
- Department of Neuroradiology, Westpfalz-Klinikum, Kaiserslautern, Germany.,Department of Neuroradiology, University of Schleswig-Holstein, Luebeck, Germany
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20
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Reidler P, Puhr-Westerheide D, Rotkopf L, Fabritius MP, Feil K, Kellert L, Tiedt S, Rémi J, Liebig T, Kunz WG. Cerebral attenuation on single-phase CT angiography source images: Automated ischemia detection and morphologic outcome prediction after thrombectomy in patients with ischemic stroke. PLoS One 2020; 15:e0236956. [PMID: 32790766 PMCID: PMC7425881 DOI: 10.1371/journal.pone.0236956] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2020] [Accepted: 07/16/2020] [Indexed: 11/26/2022] Open
Abstract
Objectives Stroke triage using CT perfusion (CTP) or MRI gained importance after successful application in recent trials on late-window thrombectomy but is often unavailable and time-consuming. We tested the clinical value of software-based analysis of cerebral attenuation on Single-phase CT angiography source images (CTASI) as CTP surrogate in stroke patients. Methods Software-based automated segmentation and Hounsfield unit (HU) measurements for all regions of the Alberta Stroke Program Early CT Score (ASPECTS) on CTASI were performed in patients with large vessel occlusion stroke who underwent thrombectomy. To normalize values, we calculated relative HU (rHU) as ratio of affected to unaffected hemisphere. Ischemic regions, regional ischemic core and final infarction were determined on simultaneously acquired CTP and follow-up imaging as ground truth. Receiver operating characteristics analysis was performed to calculate the area-under-the-curve (AUC). Resulting cut-off values were used for comparison with visual analysis and to calculate an 11-point automated CTASI ASPECTS. Results Seventy-nine patients were included. rHU values enabled significant classification of ischemic involvement on CTP in all ten regions of the ASPECTS (each p<0.001, except M4-cortex p = 0.002). Classification of ischemic core and prediction of final infarction had best results in subcortical regions but produced lower AUC values with significant classification for all regions except M1, M3 and M5. Relative total hemispheric attenuation provided strong linear correlation with CTP total ischemic volume. Automated classification of regional ischemia on CTASI was significantly more accurate in most regions and provided better agreement with CTP cerebral blood flow ASPECTS than visual assessment. Conclusions Automated attenuation measurements on CTASI provide excellent performance in detecting acute ischemia as identified on CTP with improved accuracy compared to visual analysis. However, value for the approximation of ischemic core and morphologic outcome in large vessel occlusion stroke after thrombectomy was regionally dependent and limited. This technique has the potential to facilitate stroke imaging as sensitive surrogate for CTP-based ischemia.
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Affiliation(s)
- Paul Reidler
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
- * E-mail:
| | | | - Lukas Rotkopf
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
| | | | - Katharina Feil
- Department of Neurology, University Hospital, LMU Munich, Munich, Germany
- German Center for Vertigo and Balance Disorders, LMU Munich, Munich, Germany
| | - Lars Kellert
- Department of Neurology, University Hospital, LMU Munich, Munich, Germany
| | - Steffen Tiedt
- Institute for Stroke and Dementia Research, LMU Munich, Munich, Germany
| | - Jan Rémi
- Department of Neurology, University Hospital, LMU Munich, Munich, Germany
| | - Thomas Liebig
- Department of Neuroradiology, University Hospital, LMU Munich, Munich, Germany
| | - Wolfgang G. Kunz
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany
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21
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Reidler P, Mueller F, Stueckelschweiger L, Feil K, Kellert L, Fabritius MP, Liebig T, Tiedt S, Puhr-Westerheide D, Kunz WG. Diaschisis revisited: quantitative evaluation of thalamic hypoperfusion in anterior circulation stroke. NEUROIMAGE-CLINICAL 2020; 27:102329. [PMID: 32629166 PMCID: PMC7334597 DOI: 10.1016/j.nicl.2020.102329] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/15/2020] [Revised: 06/02/2020] [Accepted: 06/21/2020] [Indexed: 11/21/2022]
Abstract
CT perfusion reveals thalamic hypoperfusion in acute anterior circulation stroke. This indirect phenomenon is referred to as ipsilateral thalamic diaschisis (ITD). Quantitative analysis indicates that ITD is a non-binary phenomenon. ITD is associated with lesion extent and involvement of the lentiform nucleus. Stroke outcome was not associated with ITD parameters.
Purpose Ipsilateral thalamic diaschisis (ITD) refers to the phenomenon of thalamic hypoperfusion or hypometabolism due to a distant cerebral injury. To further investigate the characteristics and spectrum of ITD, we analyzed quantitative measurements of thalamic hypoperfusion in acute anterior circulation stroke. Methods We selected consecutive patients with large-vessel occlusion (LVO) anterior circulation stroke and available CT perfusion (CTP) examination on admission who underwent endovascular thrombectomy. Thalamic perfusion parameters on CTP were tested between ipsi- and contralesional thalamus and ischemic territory. Values were compared with thresholds from CTP analysis software. Associations of thalamic perfusion parameters with acute imaging and clinical data were determined in uni- and multivariate logistic regression analyses. Results Ninety-nine patients were included. All perfusion parameters indicated significant non-ischemic hypoperfusion of the thalamus, not reaching the levels of ischemia in the middle cerebral artery territory due to LVO (all p < 0.002). Multiple perfusion parameters exhibited significant association with ischemic lesion extent (relative cerebral blood flow [CBF]: β = − 0.23, p = 0.022; Δtime to drain: β = 0.33, p < 0.001; ΔTmax: β = − 0.36, p < 0.001) and involvement of the Lentiform Nucleus (Δmean transit time: β = 0.64, p = 0.04; Δtime to drain: β = 0.81, p = 0.01; ΔTmax: β = − 0.82, p = 0.01). Symptom severity on admission exhibited minor significant association with reduction of thalamic CBF in uncorrected analysis (Odds ratio: 0.05, p = 0.049), but short- and long-term outcomes were unaffected by perfusion status. ITD reached guideline-based software-threshold levels in only one patient. Conclusions ITD in acute stroke is a non-binary phenomenon affected by lesion extent and involvement of the lentiform nucleus. We found uncorrected association of ITD with early clinical presentation, but no association with short- or long-term outcome was evident. Relevant misclassification of ITD by guideline-based CTP software was not indicated, which needs further dedicated testing.
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Affiliation(s)
- Paul Reidler
- Department of Radiology, University Hospital, LMU Munich, Germany
| | | | | | - Katharina Feil
- Department of Neurology, University Hospital, LMU Munich, Germany
| | - Lars Kellert
- Department of Neurology, University Hospital, LMU Munich, Germany
| | | | - Thomas Liebig
- Department of Neuroradiology, University Hospital, LMU Munich, Germany
| | - Steffen Tiedt
- Institute for Stroke and Dementia Research, LMU Munich, Germany
| | | | - Wolfgang G Kunz
- Department of Radiology, University Hospital, LMU Munich, Germany.
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22
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van Horn N, Kniep H, Leischner H, McDonough R, Deb-Chatterji M, Broocks G, Thomalla G, Brekenfeld C, Fiehler J, Hanning U, Flottmann F. Predictors of poor clinical outcome despite complete reperfusion in acute ischemic stroke patients. J Neurointerv Surg 2020; 13:14-18. [PMID: 32414889 DOI: 10.1136/neurintsurg-2020-015889] [Citation(s) in RCA: 61] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/07/2020] [Revised: 04/07/2020] [Accepted: 04/07/2020] [Indexed: 02/07/2023]
Abstract
BACKGROUND In patients suffering from acute ischemic stroke from large vessel occlusion (LVO), mechanical thrombectomy (MT) often leads to successful reperfusion. Only approximately half of these patients have a favorable clinical outcome. Our aim was to determine the prognostic factors associated with poor clinical outcome following complete reperfusion. METHODS Patients treated with MT for LVO from a prospective single-center stroke registry between July 2015 and April 2019 were screened. Complete reperfusion was defined as Thrombolysis in Cerebral Infarction (TICI) grade 3. A modified Rankin scale at 90 days (mRS90) of 3-6 was defined as 'poor outcome'. A logistic regression analysis was performed with poor outcome as a dependent variable, and baseline clinical data, comorbidities, stroke severity, collateral status, and treatment information as independent variables. RESULTS 123 patients with complete reperfusion (TICI 3) were included in this study. Poor clinical outcome was observed in 67 (54.5%) of these patients. Multivariable logistic regression analysis identified greater age (adjusted OR 1.10, 95% CI 1.04 to 1.17; p=0.001), higher admission National Institutes of Health Stroke Scale (NIHSS) (OR 1.14, 95% CI 1.02 to 1.28; p=0.024), and lower Alberta Stroke Program Early CT Score (ASPECTS) (OR 0.6, 95% CI 0.4 to 0.84; p=0.007) as independent predictors of poor outcome. Poor outcome was independent of collateral score. CONCLUSION Poor clinical outcome is observed in a large proportion of acute ischemic stroke patients treated with MT, despite complete reperfusion. In this study, futile recanalization was shown to occur independently of collateral status, but was associated with increasing age and stroke severity.
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Affiliation(s)
- Noel van Horn
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg, Hamburg, Hamburg, Germany
| | - Helge Kniep
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg, Hamburg, Hamburg, Germany
| | - Hannes Leischner
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg, Hamburg, Hamburg, Germany
| | - Rosalie McDonough
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg, Hamburg, Hamburg, Germany
| | | | - Gabriel Broocks
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg, Hamburg, Hamburg, Germany
| | - Goetz Thomalla
- Neurology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
| | - Caspar Brekenfeld
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg, Hamburg, Hamburg, Germany
| | - Jens Fiehler
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg, Hamburg, Hamburg, Germany
| | - Uta Hanning
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg, Hamburg, Hamburg, Germany
| | - Fabian Flottmann
- Department of Diagnostic and Interventional Neuroradiology, University Medical Center Hamburg, Hamburg, Hamburg, Germany
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23
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Comparison of the performance between Frontier ASPECTS software and different levels of radiologists on assessing CT examinations of acute ischaemic stroke patients. Clin Radiol 2020; 75:358-365. [PMID: 31973944 DOI: 10.1016/j.crad.2019.12.010] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/02/2019] [Accepted: 12/11/2019] [Indexed: 11/24/2022]
Abstract
AIM To compare the performance of Frontier Alberta Stroke Program Early CT Score (ASPECTS) software with different levels of radiologists in assessing computed tomography (CT) examinations of patients with early acute ischaemic stroke (AIS), and to evaluate whether this software can improve the performance of rating by less experienced radiologists. MATERIALS AND METHODS Unenhanced brain CT examinations of 55 patients with acute middle cerebral artery ischaemia were scored separately by Frontier, two senior radiologists, and two junior radiologists retrospectively and blinded to any clinical information. Two junior radiologists then scored again with the assist of Frontier. The reference standard was defined as the ASPECTS on Follow-up unenhanced CT scored by another two non-blinded independent experts on a consensus basis. Statistical analysis was performed using intraclass correlation coefficient (ICC) analysis and Bland-Altman plots. RESULTS Frontier and senior radiologists in ASPECTS reading have excellent agreement with the reference standard (r=0.842 and 0.803, respectively), while only a good agreement was found between junior radiologists and reference standard (r=0.680). Bland-Altman analysis revealed the mean ASPECTS difference and SD difference of junior radiologists were larger (mean difference=1.35; SD=1.42) than that of Frontier and senior radiologists with reference standard (mean difference=0.16, 0.22; SD=1.24, 1.13, respectively). However, with the assist of Frontier, the agreement between junior radiologists and reference standard was improved from good (r=0.680) to excellent (r =0.852), and the mean ASPECTS difference and SD difference were reduced. CONCLUSION High agreement in ASPECTS rating between senior radiologists, Frontier, and expert consensus reading was found. Moreover, Frontier can improve the performance of less experienced radiologists to assess the ASPECTS of patients with AIS.
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24
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Broocks G, Kemmling A, Meyer L, Nawabi J, Schön G, Fiehler J, Kniep H, Hanning U. Computed Tomography Angiography Collateral Profile Is Directly Linked to Early Edema Progression Rate in Acute Ischemic Stroke. Stroke 2019; 50:3424-3430. [DOI: 10.1161/strokeaha.119.027062] [Citation(s) in RCA: 32] [Impact Index Per Article: 6.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Background and Purpose—
Poor collateral flow is associated with poor clinical outcome in acute ischemic stroke and may indicate futile recanalization after successful thrombectomy. Pronounced early formation of cerebral ischemic edema may be the link between poor collateral status and declined functional outcome, but this relationship has not been investigated yet. We hypothesized that collateral status is associated with early lesion water uptake as quantitative marker for edema progression.
Methods—
One hundred seventy-six patients with middle cerebral artery stroke who underwent mechanical thrombectomy were analyzed. Status of cerebral collateral circulation (collaterals status [CS]) was derived using an established 5-point scoring system in admission computed tomography angiography, and good collaterals were defined as CS 3 to 4. Ischemic brain edema dynamics were quantified using early edema progression rate (EPR). EPR was derived from quantitative lesion water uptake in admission computed tomography divided by time from symptom onset to imaging. Good clinical outcome was defined as modified Rankin Scale score 0 to 2 after 90 days.
Results—
The median EPR was 1.4% per hour (interquartile range, 0.5–3.5%) in patients with good collaterals, which was lower than the median EPR in patients with poor collaterals of 5.8% per hour (interquartile range, 2.1–5.9%;
P
<0.0001). In multivariable regression analysis, lower CS was significantly and independently associated with higher EPR (1.6% EPR per 1-point CS;
P
=0.002). A higher EPR was associated with reduced likelihood of good clinical outcome: odds ratio 0.87; (95% CI, 0.76–0.99;
P
=0.03).
Conclusions—
Patients with poor CS had significantly higher EPR, which was associated with worse clinical outcome. These patients might benefit from adjuvant antiedematous treatment.
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Affiliation(s)
- Gabriel Broocks
- From the Department of Diagnostic and Interventional Neuroradiology (G.B., L.M., J.N., J.F., H.K., U.H.), University Medical Center Hamburg-Eppendorf, Hamburg
- Institute of Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf, Hamburg
| | - Andre Kemmling
- Department of Neuroradiology, Westpfalz-Klinikum, Kaiserslautern, Germany (A.K.)
- Faculty of Medicine Mannheim, University of Heidelberg, Germany (A.K.)
| | - Lukas Meyer
- From the Department of Diagnostic and Interventional Neuroradiology (G.B., L.M., J.N., J.F., H.K., U.H.), University Medical Center Hamburg-Eppendorf, Hamburg
| | - Jawed Nawabi
- From the Department of Diagnostic and Interventional Neuroradiology (G.B., L.M., J.N., J.F., H.K., U.H.), University Medical Center Hamburg-Eppendorf, Hamburg
| | - Gerhard Schön
- Institute of Medical Biometry and Epidemiology (G.S.), University Medical Center Hamburg-Eppendorf, Hamburg
| | - Jens Fiehler
- From the Department of Diagnostic and Interventional Neuroradiology (G.B., L.M., J.N., J.F., H.K., U.H.), University Medical Center Hamburg-Eppendorf, Hamburg
| | - Helge Kniep
- From the Department of Diagnostic and Interventional Neuroradiology (G.B., L.M., J.N., J.F., H.K., U.H.), University Medical Center Hamburg-Eppendorf, Hamburg
| | - Uta Hanning
- From the Department of Diagnostic and Interventional Neuroradiology (G.B., L.M., J.N., J.F., H.K., U.H.), University Medical Center Hamburg-Eppendorf, Hamburg
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