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ABSTRACT: Background
Aneurysm wall enhancement is a potential imaging biomarker for risk stratification of intracranial aneurysms (IAs). Variations in the texture of the magnetic resonance imaging (MRI) signal could shed light on the underlying pathobiology of the aneurysm wall. Radiomics can help quantify the textural complexity in MRI images, which could lead to better understanding and risk stratification of IAs. Herein, we investigated the potential use of radiomics derived from nonenhanced and contrast-enhanced MRI to identify high-risk IAs and evaluated their performance on different data sets.Methods
We obtained 126 IAs from different centers and extracted radiomics features from nonenhanced and contrast-enhanced MRI for each aneurysm. We then built a random forest model from
SUBMITTER: Veeturi SS
PROVIDER: S-EPMC12778691 | biostudies-literature | 2023 Sep
REPOSITORIES: biostudies-literature