基于MRI特征的影像组学联合人工智能在宫颈癌诊疗中的研究进展  

Research progress of MRI feature-based radiomics combined with artificial intelligence in the diagnosis and treatment of cervical cancer

作　　者：李静 王静[2] 姚娟 LI Jing;WANG Jing;YAO Juan(Imaging Center,The First Affiliated Hospital of Xinjiang Medical University,Urumqi 830054,China;Department of Gynecology,The First Affiliated Hospital of Xinjiang Medical University,Urumqi 830054,China)

机构地区：[1]新疆医科大学第一附属医院影像中心,新疆乌鲁木齐830054 [2]新疆医科大学第一附属妇科,新疆乌鲁木齐830054

出　　处：《分子影像学杂志》2025年第2期242-246,共5页Journal of Molecular Imaging

基　　金：新疆维吾尔自治区自然科学基金(SKL-HIDCA-2024-3)。

摘　　要：在医学影像学领域及科技的迅猛发展下,医学影像不再仅仅是单纯的解剖成像,功能成像、分子成像等也成为目前影像学领域的重要发展趋势,影像组学技术应运而生。而人工智能也正以强大数据分析和模式识别能力,逐渐改变着医疗行业的格局。基于MRI的影像组学与人工智能相结合在宫颈癌的诊断及鉴别诊断、术前分期、疗效评价及预后预测等方面起着至关重要的作用。本文将从影像组学及人工智能概述及发展现状、影像组学联合人工智能在宫颈癌中的应用、未来挑战及局限性等方面进行综述。Medical imaging is no longer just basic anatomical imaging,functional imaging,molecular imaging,etc.has become an important development trend in the current imaging field,due to the rapid advancement of medical imaging and technology.Radiomics technology has emerged,and artificial intelligence is also progressively altering the structure of the medical industry with its potent data analysis and pattern recognition capabilities.The diagnosis and differential diagnosis of cervical cancer,preoperative staging,evaluation of curative effects,and prognosis prediction are all significantly impacted by the combination of MRI-based radiomics and artificial intelligence.This paper will review the overview and development status of Radiomics and artificial intelligence,as well as the application,future challenges and limitations of radiomics combined with artificial intelligence in cervical cancer.

关 键 词：宫颈癌 磁共振成像 影像组学 人工智能 深度学习 机器学习 

分 类 号：R737.33[医药卫生—肿瘤] R445.2[医药卫生—临床医学]