Advances in Radiomics of bladder cancer

LI Hongjun; LI Xiaodong; YANG Xiaofeng

doi:10.19732/j.cnki.2096-6210.2020.05.014

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Advances in Radiomics of bladder cancer

更新时间：2025-12-15

- Advances in Radiomics of bladder cancer
- Vol. 29, Issue 5, Pages: 506-509(2020)
- 作者机构：
  
  山西医科大学第一医院泌尿外科，太原 030000 2. 山西医科大学第一医院心胸外科,太原,030000
- 作者简介：
- 基金信息：
- DOI：10.19732/j.cnki.2096-6210.2020.05.014
  CLC：
- Published Online：28 October 2020，
  
  Published：28 October 2020
- 稿件说明：
移动端阅览
李虹君,李晓东,杨晓峰. 膀胱癌影像组学的研究进展[J]. 肿瘤影像学, 2020, 29(5): 506-509 https://doi.

org/10.19732/j.cnki.2096-6210.2020.05.014
李虹君,李晓东,杨晓峰. 膀胱癌影像组学的研究进展[J]. 肿瘤影像学, 2020, 29(5): 506-509 https://doi. DOI： 10.19732/j.cnki.2096-6210.2020.05.014.

org/10.19732/j.cnki.2096-6210.2020.05.014 DOI：

摘要

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。

Abstract

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.

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