Clinical prediction of aortic arch anatomy to guide stroke CT angiography protocols: A machine learning study.

ABSTRACT: BackgroundThe aortic arch (AA) influences catheter navigation during endovascular treatment (EVT) for acute ischemic stroke. Whether routine inclusion of the AA in stroke CT angiography (CTA) protocols is necessary remains debated, particularly in settings aiming to streamline imaging workflows.PurposeTo evaluate whether machine learning algorithms (MLAs) can use routinely available clinical and laboratory data to estimate AA configuration in patients with stroke risk factors.Materials and MethodsIn this retrospective study, 108 patients who underwent CTA, including the AA, were analyzed. Eight MLAs were trained to classify AA anatomy as favorable or unfavorable using clinical and laboratory variables available at presentation. Class imbalance was addressed using the Synthetic Minority Ove

SUBMITTER: Marquez-Romero JM 

PROVIDER: S-EPMC12819123 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature