膀胱癌影像组学的研究进展

Advances in Radiomics of bladder cancer

影像组学是从标准医学影像的感兴趣区(region of interest,ROI)中获取高通量的影像学特征(如颜色、形状、纹理等),通过数据处理的分析方法指导临床诊断和预后,是一种无创性、客观性、可重复性强的新型诊断技术。近年来,影像组学的分析方法逐渐应用于膀胱癌,在鉴别肿瘤分期、分级以及预测肿瘤复发等方面发挥着越来越重要的作用。本文旨在对膀胱癌影像组学的研究现状、进展和未来应用作一综述。

Radiomics is a non-invasive,objective and reproducible new diagnostic technique that obtains high-throughput image features(such as color,shape,texture,etc.)from the region of interest(ROI)of standard medical images and guides clinical diagno-sis and prognosis through data processing analysis.In recent years,Radiomics analysis has been gradually applied to bladder cancer,playing an increasingly important role in identifying tumor types,grading and predicting tumor recurrence.This article aims to re-view the research status,progress and future application of Radiomics of bladder cancer.