摘要
结直肠癌是一种常见且具有高病死率的消化道恶性肿瘤,其发病机制与肿瘤细胞基因改变密切相关。微卫星不稳定(microsatellite instability,MSI)是导致结直肠发生的常见基因改变,在肿瘤的发生、发展过程和对患者的治疗和预后中起着至关重要的作用。近年来,医学影像成像方法凭借无创性和个体化等优势已开始在评估结直肠癌高度MSI(MSI-high,MSI-H)状态方面取得了初步进展。随着软件技术不断优化以及人工智能的兴起,计算机断层成像(computed tomography,CT)、MRI以及影像组学方法在结直肠癌MSI-H状态的术前预测、治疗、疗效监测及预后评估方面的重要性日益突显。本综述旨在总结CT和MRI技术及影像组学方法在预测结直肠癌MSI-H状态中的优势和前景,以期为临床提供更准确和无创的MSI-H预测手段,为结直肠癌患者治疗措施的选择提供新思路。
Colorectal cancer is a common malignant tumor of the digestive tract with high mortality,and its pathogenesis is closely related to the genetic changes of tumor cells.Microsatellite instability(MSI)is a common genetic change that causes colorectal development and plays a crucial role in the development and progression of tumors and in the treatment and prognosis of patients.In recent years,medical imaging methods with the advantages of non-invasiveness and individualization have begun to make initial progress in evaluating high MSI(MSI-H)status in colorectal cancer.With the continuous optimization of software technology and the rise of artificial intelligence,computed tomography(CT)and MRI with radiomics methods have become increasingly important in the preoperative prediction,treatment,efficacy monitoring,and prognosis assessment of MSI-H status in colorectal cancer.This review aims to summarize the advantages and prospects of CT and MRI techniques and radiomics methods in predicting the MSI-H status of colorectal cancer,to provide more accurate and non-invasive MSI prediction methods for clinical practice,and provide new ideas for the selection of treatment measures for colorectal cancer patients.
作者
彭乐平
张秀玲
施柳言
黄刚
马娅琼
艾凯
王莉莉
马文婷
马小梅
PENG Leping;ZHANG Xiuling;SHI Liuyan;HUANG Gang;MA Yaqiong;AI Kai;WANG Lili;MA Wenting;MA Xiaomei(The First Clinical College of Medicine,Gansu University of Chinese Medicine,Lanzhou 730000,China;Philips(China)Investment Co.LTD,Shanghai 200040,China;Department of Radiology,Gansu Provincial People's Hospital,Lanzhou 730000,China)
出处
《磁共振成像》
CAS
CSCD
北大核心
2024年第6期218-223,共6页
Chinese Journal of Magnetic Resonance Imaging
基金
甘肃省人民医院院内科研基金项目(编号:23GSSYA-2)。
