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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  Data: Utilizing Quantitative Analysis of CSF Volume from Clinical T1-Weighted MRI to Predict Thrombectomy Outcomes.
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  Data: <searchLink fieldCode="AU" term="%22Kawas+MI%22">Kawas MI</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Shamulzai+A%22">Shamulzai A</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Atcheson+KM%22">Atcheson KM</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Horn+AC%22">Horn AC</searchLink>; Department of Neurosurgery, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.<br /><searchLink fieldCode="AU" term="%22Ma+R%22">Ma R</searchLink>; Department of Neurosurgery, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.<br /><searchLink fieldCode="AU" term="%22Kittel+C%22">Kittel C</searchLink>; Department of Neurosurgery, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.<br /><searchLink fieldCode="AU" term="%22Curry+B%22">Curry B</searchLink>; Department of Neurosurgery, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.<br /><searchLink fieldCode="AU" term="%22Lipford+M%22">Lipford M</searchLink>; Department of Radiology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.<br /><searchLink fieldCode="AU" term="%22Kim+J%22">Kim J</searchLink>; Department of Radiology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.<br /><searchLink fieldCode="AU" term="%22Solingapuram+Sai+KK%22">Solingapuram Sai KK</searchLink>; Department of Radiology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.<br /><searchLink fieldCode="AU" term="%22Wolfe+SQ%22">Wolfe SQ</searchLink>; Department of Neurosurgery, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.<br /><searchLink fieldCode="AU" term="%22Whitlow+CT%22">Whitlow CT</searchLink>; Department of Radiology, Wake Forest University School of Medicine, Winston-Salem, North Carolina, USA.
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  Data: <searchLink fieldCode="JN" term="%229102705%22">Journal of neuroimaging : official journal of the American Society of Neuroimaging</searchLink> [J Neuroimaging] 2025 Jan-Feb; Vol. 35 (1), pp. e70013.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Wiley%22">Wiley </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>9102705 <i>Publication Model: </i>Print <i>Cited Medium: </i>Internet <i>ISSN: </i>1552-6569 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2210512284%22">10512284 </searchLink><i>NLM ISO Abbreviation: </i>J Neuroimaging <i>Subsets: </i>MEDLINE
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              Text: 2025 Jan-Feb
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