Biparametric magnetic resonance imaging-based radiomics model can improve the detection of dense and sparse prostate cancers.

ABSTRACT:

Background

Prostate cancer (PCa) tissues are heterogeneous. The tumor lesion could be either the dense focus consisting of high proportion of malignant glands or the sparse focus consisting of a mixture of scattered tumor glands and normal tissue. The different growth patterns will affect the detection of PCa. The detection rate of the sparse PCa is far lower than that of the dense PCa. This study aimed to explore the value of radiomics based on biparametric magnetic resonance imaging (bpMRI) in the detection of dense and sparse PCa lesions.

Methods

A total of 372 PCa lesions of 156 patients from two centers were defined as "sparse" or "dense" according to whole-mount sections and then delineated on bpMR images. For each lesion, 2,553 radiomics features were extracted from i

SUBMITTER: Zhou B 

PROVIDER: S-EPMC12514648 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature