CT-based radiomics model using stability selection for predicting the WHO/ISUP grade of clear cell renal cell carcinoma

CONCLUSIONS: Combining clinical features with unenhanced CT images of the kidneys seems to be optimal for prediction of WHO/ISUP grade of ccRCC. This noninvasive method may assist in guiding more accurate treatment decisions for ccRCC.ADVANCES IN KNOWLEDGE: This study innovatively employed stability selection for RFs, enhancing model reliability. The CICFs-NCP model's simplicity and efficacy mark a significant advancement, offering a practical tool for clinical decision-making in ccRCC management.PMID:38688660 | DOI:10.1093/bjr/tqae078

Source: The British Journal of Radiology - April 30, 2024 Category: Radiology Authors: Haijie Zhang Fu Yin Menglin Chen Anqi Qi Liyang Yang Ge Wen Source Type: research