磁共振成像2024，Vol.15Issue(5)：222-226,234,6.DOI:10.12015/issn.1674-8034.2024.05.036
MRI影像组学和深度学习在前列腺癌中的研究进展
Research progress of radiomics and deep learning in prostate cancer
摘要
Abstract
Prostate cancer(Pca)is one of the most common malignant tumors of male genitourinary system,and its incidence rate is increasing year by year.Therefore,early diagnosis,pathological classification,risk stratification and prognosis evaluation of Pca are crucial to the formulation of patient diagnosis and treatment plans.Radiomics and deep learning(DL)have made significant progress in Pca research,providing important tools for the realization of precision medicine in recent years.This article systematically reviews the applications and potential of these two techniques in Pca image segmentation,diagnosis,Gleason grading,prediction of extracapsular extension and metastasis,prognosis evaluation,and treatment decision-making.It also summarizes the achievements,limitations,and future improvement measures and development directions of current research,aiming to provide more precise and personalized diagnosis and treatment plans for Pca patients,thereby improving treatment effectiveness and quality of life.关键词
前列腺癌/影像组学/深度学习/磁共振成像/诊断/预后评估Key words
prostate cancer/radiomics/deep learning/magnetic resonance imaging/diagnosis/prognostic evaluation分类
医药卫生引用本文复制引用
刘嘉睿,吴慧,刘娜,高凯华,杨姣..MRI影像组学和深度学习在前列腺癌中的研究进展[J].磁共振成像,2024,15(5):222-226,234,6.基金项目
Open Fund for Key Laboratory of Inner Mongolia Medical University Affiliated Hospital(No.2022NYFYSY006). 内蒙古医科大学附属医院重点实验室开放基金项目(编号:2022NYFYSY006) （No.2022NYFYSY006）
