Predictive modeling and machine learning show poor performance of clinical, morphological, and hemodynamic parameters for small intracranial aneurysm rupture

Abstract Small intracranial aneurysms (SIAs) (< 5 mm) are increasingly detected due to advanced imaging, but predicting rupture risk remains challenging. Rupture, though rare, can cause devastating subarachnoid hemorrhage. This study analyzed 141 SIAs (101 unruptured, 40 ruptured) using semi-automat...

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Principais autores:	Vanessa M. Swiatek, Samuel Voss, Florian Sprenger, Igor Fischer, Hafez Kader, Klaus-Peter Stein, Roland Schwab, Sylvia Saalfeld, Ali Rashidi, Daniel Behme, Philipp Berg, I. Erol Sandalcioglu, Belal Neyazi
格式:	Artigo
語言:	Inglês
出版:	Nature Portfolio 2025-07-01
叢編:	Scientific Reports
主題:	Small intracranial aneurysms Rupture risk assessment Semiautomatic neck curve reconstruction Computational fluid dynamics Predictive modeling
在線閱讀:	https://doi.org/10.1038/s41598-025-08478-1
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