Histopathological correlations of CT-based radiomics imaging biomarkers in native kidney biopsy.

ABSTRACT:

Background

Kidney biopsy is the standard of care for the diagnosis of various kidney diseases. In particular, chronic histopathologic lesions, such as interstitial fibrosis and tubular atrophy, can provide prognostic information regarding chronic kidney disease progression. In this study, we aimed to evaluate historadiological correlations between CT-based radiomic features and chronic histologic changes in native kidney biopsies and to construct and validate a radiomics-based prediction model for chronicity grade.

Methods

We included patients aged ≥ 18 years who underwent kidney biopsy and abdominal CT scan within a week before kidney biopsy. Left kidneys were three-dimensionally segmented using a deep learning model based on the 3D Swin UNEt Transformers architecture. We a

SUBMITTER: Choi YH 

PROVIDER: S-EPMC11428854 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature