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

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Title: Utilizing Quantitative Analysis of CSF Volume from Clinical T1-Weighted MRI to Predict Thrombectomy Outcomes.
Authors: Kawas MI; Department of Radiology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.; Department of Physiology and Biochemistry (M.I.K.), Faculty of Medicine, University of Jordan, Amman, Jordan., Shamulzai A; Department of Neurology, North Shore University Hospital Northwell Health, Manhasset, New York, USA.; Department of Neurosurgery, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA., Atcheson KM; Department of Radiology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.; Department of Radiology, McGaw Medical Center at Northwestern University, Chicago, Illinois, USA., Horn AC; Department of Neurosurgery, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA., Ma R; Department of Neurosurgery, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA., Kittel C; Department of Neurosurgery, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA., Curry B; Department of Neurosurgery, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA., Lipford M; Department of Radiology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA., Kim J; Department of Radiology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA., Solingapuram Sai KK; Department of Radiology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA., Wolfe SQ; Department of Neurosurgery, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA., Whitlow CT; Department of Radiology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
Source: Journal of neuroimaging : official journal of the American Society of Neuroimaging [J Neuroimaging] 2025 Jan-Feb; Vol. 35 (1), pp. e70013.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Wiley Country of Publication: United States NLM ID: 9102705 Publication Model: Print Cited Medium: Internet ISSN: 1552-6569 (Electronic) Linking ISSN: 10512284 NLM ISO Abbreviation: J Neuroimaging Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:1552-6569
DOI:10.1111/jon.70013