Predictive modeling of hematoma expansion from non-contrast computed tomography in spontaneous intracerebral hemorrhage patients

Hematoma expansion is a consistent predictor of poor neurological outcome and mortality after spontaneous intracerebral hemorrhage (ICH). An incomplete understanding of its biophysiology has limited early preventative intervention. Transport-based morphometry (TBM) is a mathematical modeling techniq...

Ausführliche Beschreibung

Bibliografische Detailangaben

Hauptverfasser:	Natasha Ironside, Kareem El Naamani, Tanvir Rizvi, Mohammed Shifat El-Rabbi, Shinjini Kundu, Andrea Becceril-Gaitan, Kristofor Pas, M Harrison Snyder, Ching-Jen Chen, Carl Langefeld, Daniel Woo, Stephan A Mayer, E Sander Connolly, Gustavo Kunde Rohde, VISTA-ICH, on behalf of the ERICH Investigators
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	eLife Sciences Publications Ltd 2025-12-01
Schriftenreihe:	eLife
Schlagworte:	intracerebral hemorrhage stroke hematoma expansion predictive modeling
Online-Zugang:	https://elifesciences.org/articles/105782
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