Research progress in artificial intelligence-based prediction of biochemical recurrence of prostate cancer using multi parametric MRI
YANG Ying
ZHAO Jianhua
Abstract：Prostate cancer(PCa)is the most common malignant tumor of the male reproductive system.Biochemical recurrence(BCR)after radical treatment remains the first sign of invasive disease such as PCa.In recent years,artificial intelligence(AI)technologies,particularly radiomics and deep learning,have demonstrated unique advantages and promising applications in medical image analysis.This article reviews the fundamental concepts of BCR in PCa,along with recent advances in AI-based approaches using multiparametric MRI to predict BCR and assess prognosis following radical treatment.
Keywords：Prostatic cancerMagnetic resonance imagingArtificial intelligenceBiochemical recurrence
Publication Date：2025-07-15
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：5( 465-469 )