CT和MRI及影像组学预测结直肠癌微卫星不稳定状态研究进展
Research progress of CT and MRI with radiomics to predict microsatellite instability in colorectal cancer
彭乐平 1张秀玲 1施柳言 1黄刚 2马娅琼 2艾凯 3王莉莉 2马文婷 2马小梅2
作者信息
- 1. 甘肃中医药大学第一临床医学院,兰州 730000
- 2. 甘肃省人民医院放射科,兰州 730000
- 3. 飞利浦(中国)投资有限公司,上海 200040
- 折叠
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.
Abstract
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.
关键词
结直肠癌/高度微卫星不稳定状态/计算机断层成像/磁共振成像/影像组学Key words
colorectal cancer/high microsatellite instability/computed tomography/magnetic resonance imaging/radiomics引用本文复制引用
基金项目
甘肃省人民医院院内科研基金项目(23GSSYA-2)
出版年
2024
国家科技期刊平台
NSTL
万方数据