Utilizing Quantitative Analysis of CSF Volume from Clinical T1‐Weighted MRI to Predict Thrombectomy Outcomes

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Autores principales: Mohammad I. Kawas, Ahmad Shamulzai, Kyle M. Atcheson, Alex C. Horn, Renate Ma, Carol Kittel, Brian Curry, Megan Lipford, Jeongchul Kim, Kiran K. Solingapuram Sai, Stacey Q. Wolfe, Christopher T. Whitlow
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Publicado: Wiley 2025
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author Mohammad I. Kawas
Ahmad Shamulzai
Kyle M. Atcheson
Alex C. Horn
Renate Ma
Carol Kittel
Brian Curry
Megan Lipford
Jeongchul Kim
Kiran K. Solingapuram Sai
Stacey Q. Wolfe
Christopher T. Whitlow
author_facet Mohammad I. Kawas
Ahmad Shamulzai
Kyle M. Atcheson
Alex C. Horn
Renate Ma
Carol Kittel
Brian Curry
Megan Lipford
Jeongchul Kim
Kiran K. Solingapuram Sai
Stacey Q. Wolfe
Christopher T. Whitlow
Mohammad I. Kawas
Ahmad Shamulzai
Kyle M. Atcheson
Alex C. Horn
Renate Ma
Carol Kittel
Brian Curry
Megan Lipford
Jeongchul Kim
Kiran K. Solingapuram Sai
Stacey Q. Wolfe
Christopher T. Whitlow
collection Wiley Open Access
contents Utilizing Quantitative Analysis of CSF Volume from Clinical T1‐Weighted MRI to Predict Thrombectomy Outcomes Mohammad I. Kawas Ahmad Shamulzai Kyle M. Atcheson Alex C. Horn Renate Ma Carol Kittel Brian Curry Megan Lipford Jeongchul Kim Kiran K. Solingapuram Sai Stacey Q. Wolfe Christopher T. Whitlow Journal of Neuroimaging ABSTRACT Background and Purpose Endovascular thrombectomy (EVT) is the standard for acute ischemic stroke from large vessel occlusion, but post‐EVT functional independence varies. Brain atrophy, linked to higher cerebrospinal fluid volume (CSFV), may affect outcomes. Baseline CSFV could predict EVT benefit by assessing brain health. We aimed to quantify total CSFV from clinical T1‐weighted (w) magnetic resonance imaging (MRI) to assess global brain atrophy and its association with functional outcomes following successful EVT. Methods We performed a retrospective analysis of patients achieving thrombolysis‐in‐cerebral‐infarction ≥2b revascularization via prospectively maintained single‐institution stroke thrombectomy registry ( n = 432) between 2015 and 2021. We included 214 patients (mean age 67.5 ± 14.6, 49% female) with acceptable quality MRI within 14 days of EVT and available modified Rankin‐scale (mRS) at 90 days post EVT. Clinical T1w images were transformed into high‐resolution images using the convolutional neural‐network SynthSR. FreeSurfer software was then used to estimate total cranial CSFV. To correct for head size, percentage of CSFV to intracranial volume was used. Results Baseline CSFV% significantly predicted 90‐day mRS in an ordinal regression model adjusted for baseline mRS ( p  < 0.001). Further modeling was performed to account for age, sex, 24‐h National‐Institutes‐Health‐Stroke‐Scale (NIHSS), smoking history, prior stroke, hypertension, congestive heart failure, hemoglobin‐A1c, atrial fibrillation, and Alberta‐Stroke‐Program‐Early‐CT‐Score (ASPECTS). Total CSFV% remained an independent predictor of 90‐day mRS ( p = 0.012). CSFV% did not significantly predict the occurrence of any type of hemorrhagic transformation in a logistic regression model. Conclusions Increased CSFV% correlates with poorer functional outcomes post EVT. Total CSFV% may serve as a useful imaging biomarker for clinicians determining patient prognostication prior to EVT. 10.1111/jon.70013 http://onlinelibrary.wiley.com/termsAndConditions#vor
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spellingShingle Utilizing Quantitative Analysis of CSF Volume from Clinical T1‐Weighted MRI to Predict Thrombectomy Outcomes
Mohammad I. Kawas
Ahmad Shamulzai
Kyle M. Atcheson
Alex C. Horn
Renate Ma
Carol Kittel
Brian Curry
Megan Lipford
Jeongchul Kim
Kiran K. Solingapuram Sai
Stacey Q. Wolfe
Christopher T. Whitlow
Journal of Neuroimaging
Utilizing Quantitative Analysis of CSF Volume from Clinical T1‐Weighted MRI to Predict Thrombectomy Outcomes Mohammad I. Kawas Ahmad Shamulzai Kyle M. Atcheson Alex C. Horn Renate Ma Carol Kittel Brian Curry Megan Lipford Jeongchul Kim Kiran K. Solingapuram Sai Stacey Q. Wolfe Christopher T. Whitlow Journal of Neuroimaging ABSTRACT Background and Purpose Endovascular thrombectomy (EVT) is the standard for acute ischemic stroke from large vessel occlusion, but post‐EVT functional independence varies. Brain atrophy, linked to higher cerebrospinal fluid volume (CSFV), may affect outcomes. Baseline CSFV could predict EVT benefit by assessing brain health. We aimed to quantify total CSFV from clinical T1‐weighted (w) magnetic resonance imaging (MRI) to assess global brain atrophy and its association with functional outcomes following successful EVT. Methods We performed a retrospective analysis of patients achieving thrombolysis‐in‐cerebral‐infarction ≥2b revascularization via prospectively maintained single‐institution stroke thrombectomy registry ( n = 432) between 2015 and 2021. We included 214 patients (mean age 67.5 ± 14.6, 49% female) with acceptable quality MRI within 14 days of EVT and available modified Rankin‐scale (mRS) at 90 days post EVT. Clinical T1w images were transformed into high‐resolution images using the convolutional neural‐network SynthSR. FreeSurfer software was then used to estimate total cranial CSFV. To correct for head size, percentage of CSFV to intracranial volume was used. Results Baseline CSFV% significantly predicted 90‐day mRS in an ordinal regression model adjusted for baseline mRS ( p  < 0.001). Further modeling was performed to account for age, sex, 24‐h National‐Institutes‐Health‐Stroke‐Scale (NIHSS), smoking history, prior stroke, hypertension, congestive heart failure, hemoglobin‐A1c, atrial fibrillation, and Alberta‐Stroke‐Program‐Early‐CT‐Score (ASPECTS). Total CSFV% remained an independent predictor of 90‐day mRS ( p = 0.012). CSFV% did not significantly predict the occurrence of any type of hemorrhagic transformation in a logistic regression model. Conclusions Increased CSFV% correlates with poorer functional outcomes post EVT. Total CSFV% may serve as a useful imaging biomarker for clinicians determining patient prognostication prior to EVT. 10.1111/jon.70013 http://onlinelibrary.wiley.com/termsAndConditions#vor
title Utilizing Quantitative Analysis of CSF Volume from Clinical T1‐Weighted MRI to Predict Thrombectomy Outcomes
topic Journal of Neuroimaging
url https://onlinelibrary.wiley.com/doi/10.1111/jon.70013