Radiomics for differential diagnosis of Bosniak II-IV renal masses via CT imaging.

ABSTRACT:

Rationale and objectives

The management of complex renal cysts is guided by the Bosniak classification system, which may be inadequate for risk stratification of patients to determine the appropriate intervention. Radiomics models based on CT imaging may provide additional useful information.

Materials and methods

A total of 322 patients with Bosniak II-IV cysts were included in the study from January 2010 to December 2019. Contrast-enhanced CT scans were performed on all patients. ITK-snap was used for segmentation, and the PyRadiomics 3.0.1 package was used for feature extraction. The radiomics features were screened via the least absolute shrinkage and selection operator (LASSO) regression method. After feature selection, a logistic regression (LR) model, support vector m

SUBMITTER: Zhao X 

PROVIDER: S-EPMC11622457 | biostudies-literature | 2024 Dec

REPOSITORIES: biostudies-literature