摘要
透明细胞肾细胞癌作为肾细胞癌中最常见的亚型,其预后较差,死亡率较高。影像组学能够从影像学检查图像中高通量地提取人眼无法观测到的特征,对肿瘤的异质性进行更全面的定量分析,在透明细胞肾细胞癌的鉴别诊断、病理分级、基因组学及预后评估中展现出较大的潜力。本文旨在对透明细胞肾细胞癌影像组学研究现况及前景进行综述分析。
Clear cell renal cell carcinoma(ccRCC),the most common subtype of renal cell carcinoma,has a poor prognosis and high mortality.Radiomics is capable of high-throughput extraction of features unobservable to the human eye from imaging images and more comprehensive quantitative analysis of tumor heterogeneity,showing greater potential in differential diagnosis,pathological grading,genomics and prognostic assessment of ccRCC.The purpose of this article is to review and analyze the current status and prospects of radiomics studies of ccRCC.
作者
杨韫泽
张子巍
张建军
YANG Yunze;ZHANG Ziwei;ZHANG Jianjun(Chengde Medical University,Chengde,Hebei 067000,China;Department of Imaging,Baoding NO.1 Central Hospital,Baoding,Hebei 071000,China)
出处
《影像研究与医学应用》
2024年第21期7-10,共4页
Journal of Imaging Research and Medical Applications
关键词
透明细胞肾细胞癌
影像组学
体层摄影术
机器学习
磁共振成像
Clear cell renal cell carcinoma
Radiomics
Tomography
Machine learning
Magnetic resonance imaging
