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Dataset Information

A two-stage model for precise identification and Gleason grading of clinically significant prostate cancer: a hybrid approach.


ABSTRACT:

Introduction

Accurate identification and grading of clinically significant prostate cancer (csPCa, Gleason Score ≥ 7) without invasive procedures remains a significant clinical challenge. This study aims to develop and evaluate a two-stage model designed for precise Gleason grading. The model initially uses radiomics-based multiparametric MRI to identify csPCa and then refines the Gleason grading by integrating clinical indicators and radiomics features.

Methods

We retrospectively analysed 399 patients with PI-RADS ≥ 3 lesions, categorising them into non-significant prostate cancer (nsPCa, 263 cases) and csPCa (136 cases, subdivided by GGs). Regions of interest (ROIs) for the prostate and lesions were manually delineated on T2-weighted and apparent diffusion coefficient (ADC

SUBMITTER: Zou Y 

PROVIDER: S-EPMC11909710 | biostudies-literature | 2025 Mar

REPOSITORIES: biostudies-literature

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