Open AccessQuantitative Serial CT Imaging-Derived Features Improve Prediction of Malignant Cerebral Edema after Ischemic Stroke
Author(s) -
Hossein Mohammadian Foroushani,
Ali Hamzehloo,
Atul Kumar,
Yasheng Chen,
Laura Heitsch,
Agnieszka Słowik,
Daniel Strbian,
Lee J,
Daniel S. Marcus,
Rajat Dhar
Publication year - 2020
Publication title -
neurocritical care
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.908
H-Index - 74
eISSN - 1556-0961
pISSN - 1541-6933
DOI - 10.1007/s12028-020-01056-5
Subject(s) - medicine , receiver operating characteristic , neurology , stroke (engine) , midline shift , radiology , gold standard (test) , logistic regression , magnetic resonance imaging , area under the curve , computed tomography , mechanical engineering , psychiatry , engineering
Malignant cerebral edema develops in a small subset of patients with hemispheric strokes, precipitating deterioration and death if decompressive hemicraniectomy (DHC) is not performed in a timely manner. Predicting which stroke patients will develop malignant edema is imprecise based on clinical data alone. Head computed tomography (CT) imaging is often performed at baseline and 24-h. We determined the incremental value of incorporating imaging-derived features from serial CTs to enhance prediction of malignant edema.