影像组学在前列腺癌诊治中的应用现状及展望  

Application Status and Prospects of Radiomics in the Diagnosis and Treatment of Prostate Cancer

作　　者：胡金玥 白志明[2] 王刚 张雨[3] 黄梦醒[4] 何占平[1] 陈晶[1] HU Jin-yue;BAI Zhi-ming;WANG Gang;ZHANG Yu;HUANG Meng-xing;HE Zhan-ping;CHEN Jing(Department of Radiology,Haikou People’s Hospital,Central South University Xiangya School of Medicine Affiliated Haikou Hospital,Haikou 570208,Hainan Province,China;Department of Urology,Haikou People’s Hospital,Central South University Xiangya School of Medicine Affiliated Haikou Hospital,Haikou 570208,Hainan Province,China;College of Computer Science and Technology,Hainan University,Haikou 570208,Hainan Province,China;College of Information and Communication Engineering,Hainan University,Haikou 570208,Hainan Province,China)

机构地区：[1]中南大学湘雅医学院附属海口医院,海口市人民医院放射科,海南海口570208 [2]中南大学湘雅医学院附属海口医院,海口市人民医院泌尿外科,海南海口570208 [3]海南大学计算机科学与技术学院,海南海口570208 [4]海南大学信息与通信工程学院,海南海口570208

出　　处：《中国CT和MRI杂志》2023年第12期175-178,共4页Chinese Journal of CT and MRI

基　　金：海南省重点研发项目(ZDYF2021SHFZ094);海南省重点研发项目(ZDYF2021SHFZ243)。

摘　　要：影像组学技术能够对多源数据进行高通量挖掘和综合分析,非常适合辅助医生进行前列腺癌的个体化诊疗,提高患者的疗效和生存率。本文从影像组学的迭代发展及其辅助前列腺癌的影像诊断、融合活检及治疗等方面进行综述,以说明其在前列腺癌诊治中的应用现状。以期推动包括机器学习及人工智能等影像组学技术在前列腺癌诊治中深入应用,并对其未来发展方向做出展望。Radiomics has the capability to efficiently mine and comprehensively analyze multi-source data,making it well-suited for supporting physicians in personalized diagnosis and treatment of prostate cancer,thereby enhancing treatment efficacy and patient survival rates.This article provides an overview of the evolving field of radiomics and its contributions to imaging diagnosis,fusion biopsy,and prostate cancer treatment,shedding light on its current role in the diagnosis and treatment of this disease.Its primary objective is to advocate for the extensive application of radiomics,encompassing machine learning and artificial intelligence,in the realm of prostate cancer diagnosis and treatment while also offering a glimpse into its promising future developments.

关 键 词：前列腺癌 影像组学 人工智能 机器学习 

分 类 号：R737.25[医药卫生—肿瘤]