影像组学在肾细胞癌中的应用

Application of Radiomics in Renal Cell Carcinoma

肾细胞癌(RCC)是最常见的泌尿系统恶性肿瘤,对其准确诊断、分型及分级有利于临床选择最佳治疗方案。影像组学为提高肾肿瘤的诊断准确率提供了一种替代主观图像判读的方法。临床和影像数据进一步结合影像组学将提高肿瘤预测的准确率和加强精准治疗。近年来,越来越多的基于CT、MRI影像组学研究应用于RCC,主要研究领域包括与良性肾脏肿瘤的鉴别、预测组织学亚型、肿瘤分级及分子生物标志物,本文对其研究现状及前景进行综述。

Renal cell carcinoma(RCC)is the most common malignancy of urinary system.The accuracy of diagnosis,classification and grading of RCC is beneficial to select the best treatment options.Radiomics provides an alternative to subjective image interpretation for improving renal tumor diagnostic accuracy.Further combination of clinical and imaging data into radiomics algorithms will augment tumor prediction accuracy and enhance individualized medicine.Recently,CT and MRI based radiomics has been applied to RCC,and the main area of research involves differentiating benign renal masses,and predicting the RCC subtype differentiation,nuclear grade and molecular biomarkers.This article reviews and summarizes the present situation and prospects applied to RCC.