Literature DB >> 31818229

Reduction in Cerebrospinal Fluid Volume as an Early Quantitative Biomarker of Cerebral Edema After Ischemic Stroke.

Rajat Dhar1, Yasheng Chen1, Ali Hamzehloo1, Atul Kumar1, Laura Heitsch1,2, June He3, Ling Chen3, Agnieszka Slowik4, Daniel Strbian5, Jin-Moo Lee1.   

Abstract

Background and Purpose- Cerebral edema (CED) develops in the hours to days after stroke; the resulting increase in brain volume may lead to midline shift (MLS) and neurological deterioration. The time course and implications of edema formation are not well characterized across the spectrum of stroke. We analyzed displacement of cerebrospinal fluid (ΔCSF) as a dynamic quantitative imaging biomarker of edema formation. Methods- We selected subjects enrolled in a stroke cohort study who presented within 6 hours of onset and had baseline and ≥1 follow-up brain computed tomography scans available. We applied a neural network-based algorithm to quantify hemispheric CSF volume at each imaging time point and modeled CSF trajectory over time (using a piecewise linear mixed-effects model). We evaluated ΔCSF within the first 24 hours as an early biomarker of CED (defined as developing MLS on computed tomography beyond 24 hours) and poor outcome (modified Rankin Scale score, 3-6). Results- We had serial imaging in 738 subjects with stroke, of whom 91 (13%) developed CED with MLS. Age did not differ (69 versus 70 years), but baseline National Institutes of Health Stroke Scale was higher (16 versus 7) and baseline CSF volume lower (132 versus 161 mL, both P<0.001) in those with CED. ΔCSF was faster in those developing MLS, with the majority seen by 24 hours (36% versus 11% or 2.4 versus 0.8 mL/h; P<0.0001). Risk of CED almost doubled for every 10% ΔCSF within 24 hours (odds ratio, 1.76 [95% CI, 1.46-2.14]), adjusting for age, glucose, and National Institutes of Health Stroke Scale. Risk of neurological deterioration (1.6-point increase in National Institutes of Health Stroke Scale at 24 hours) and poor outcome (adjusted odds ratio, 1.34 [95% CI, 1.15-1.56]) was also greater for every 10% increase in ΔCSF. Conclusions- CSF volumetrics provides quantitative evaluation of early edema formation. ΔCSF from baseline to 24-hour computed tomography is a promising early biomarker for the development of MLS and worse neurological outcome.

Entities:  

Keywords:  brain; edema; glucose; neuroimaging; stroke

Mesh:

Substances:

Year:  2019        PMID: 31818229      PMCID: PMC6991889          DOI: 10.1161/STROKEAHA.119.027895

Source DB:  PubMed          Journal:  Stroke        ISSN: 0039-2499            Impact factor:   7.914


  26 in total

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3.  Tutorial in Biostatistics: Evaluating the impact of 'critical periods' in longitudinal studies of growth using piecewise mixed effects models.

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5.  CSF Volumetric Analysis for Quantification of Cerebral Edema After Hemispheric Infarction.

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6.  Quantitative Lesion Water Uptake in Acute Stroke Computed Tomography Is a Predictor of Malignant Infarction.

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Review 1.  Automated quantitative assessment of cerebral edema after ischemic stroke using CSF volumetrics.

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Review 2.  Using Human Genetics to Understand Mechanisms in Ischemic Stroke Outcome: From Early Brain Injury to Long-Term Recovery.

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5.  Hemispheric CSF volume ratio quantifies progression and severity of cerebral edema after acute hemispheric stroke.

Authors:  Rajat Dhar; Ali Hamzehloo; Atul Kumar; Yasheng Chen; June He; Laura Heitsch; Agnieszka Slowik; Daniel Strbian; Jin-Moo Lee
Journal:  J Cereb Blood Flow Metab       Date:  2021-05-20       Impact factor: 6.200

6.  Quantitative Serial CT Imaging-Derived Features Improve Prediction of Malignant Cerebral Edema after Ischemic Stroke.

Authors:  Hossein Mohammadian Foroushani; Ali Hamzehloo; Atul Kumar; Yasheng Chen; Laura Heitsch; Agnieszka Slowik; Daniel Strbian; Jin-Moo Lee; Daniel S Marcus; Rajat Dhar
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7.  Aflibercept, a VEGF (Vascular Endothelial Growth Factor)-Trap, Reduces Vascular Permeability and Stroke-Induced Brain Swelling in Obese Mice.

Authors:  Il-Doo Kim; John W Cave; Sunghee Cho
Journal:  Stroke       Date:  2021-07-01       Impact factor: 7.914

Review 8.  Evaluation and Prediction of Post-stroke Cerebral Edema Based on Neuroimaging.

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9.  MRI Radiomics Features From Infarction and Cerebrospinal Fluid for Prediction of Cerebral Edema After Acute Ischemic Stroke.

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10.  The Stroke Neuro-Imaging Phenotype Repository: An Open Data Science Platform for Stroke Research.

Authors:  Hossein Mohammadian Foroushani; Rajat Dhar; Yasheng Chen; Jenny Gurney; Ali Hamzehloo; Jin-Moo Lee; Daniel S Marcus
Journal:  Front Neuroinform       Date:  2021-06-24       Impact factor: 3.739

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