纹理分析在结直肠癌新辅助放化疗疗效预测及预后分析中的应用及研究进展

王国蓉; 王志伟; 金征宇

doi:10.24920/003572

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纹理分析在结直肠癌新辅助放化疗疗效预测及预后分析中的应用及研究进展

中国医学科学杂志（英文版） 2019年34卷第1期页码：45-50

Reviews | Updated：2024-04-10

- 纹理分析在结直肠癌新辅助放化疗疗效预测及预后分析中的应用及研究进展
- Affiliations：
  
  Department of Radiology, Peking Union Medical College Hospital, Peking Union Medical College & Chinese Academy of Medical Sciences, Beijing 100730, China
- Author bio：
  
  * Zhiwei Wang Tel: 86-10-69155544, E-mail: zhiweiwang1981@sina.com;
  Zhengyu Jin Tel: 86-10-65295441; E-mail: jinzhengyu@163.com
- Funds：
  
  the National Public Welfare Basic Scientific Research Program of Chinese Academy of Medical Sciences(2018PT32003);Supported by the National Public Welfare Basic Scientific Research Program of Chinese Academy of Medical Sciences(2017 PT32004)
- DOI：10.24920/003572
  中图分类号：
- 收稿日期：2019-02-01，
  
  修回日期：2019-02-25，
  
  网络出版日期：2019-03-30，
  
  纸质出版日期：2019-03-30
- Accepted：
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王国蓉, 王志伟, 金征宇. 纹理分析在结直肠癌新辅助放化疗疗效预测及预后分析中的应用及研究进展[J]. 中国医学科学杂志（英文版）, 2019,34(1):45-50.

Wang Guorong, Wang Zhiwei, Jin Zhengyu. Application and Progress of Texture Analysis in the Therapeutic Effect Prediction and Prognosis of Neoadjuvant Chemoradiotherapy for Colorectal Cancer[J]. Chinese medical sciences journal, 2019, 34(1): 45-50.
王国蓉, 王志伟, 金征宇. 纹理分析在结直肠癌新辅助放化疗疗效预测及预后分析中的应用及研究进展[J]. 中国医学科学杂志（英文版）, 2019,34(1):45-50. DOI： 10.24920/003572.

Wang Guorong, Wang Zhiwei, Jin Zhengyu. Application and Progress of Texture Analysis in the Therapeutic Effect Prediction and Prognosis of Neoadjuvant Chemoradiotherapy for Colorectal Cancer[J]. Chinese medical sciences journal, 2019, 34(1): 45-50. DOI： 10.24920/003572.

摘要

结直肠癌是常见的恶性肿瘤，在我国的发病率和死亡率逐步攀升。目前新辅助放化疗多用于结直肠癌患者的治疗中，有助于改善预后。但由于个体差异性，患者对新辅助放化疗的敏感性各不相同，因此预测治疗效果对下一步治疗方案的选择尤为重要。纹理分析作为一种图像后处理技术，越来越多地被应用于肿瘤影像学中。本文就纹理分析技术在结直肠癌患者新辅助放化疗疗效预测及预后分析中的应用做一综述。

Abstract

Colorectal cancer is one of the most common malignant tumors

and the morbidity and mortality are increasing gradually over the last years in China. Neoadjuvant chemoradiotherapy (nCRT) is currently applied to the treatment of colorectal cancer patients

and it is helpful to improve the prognosis. The sensitivity of patients to nCRT is different due to individual differences. Predicting the therapeutic effect of nCRT is of great importance for the further treatment methods. Texture analysis

as an image post-processing technique

has been more and more utilized in the field of oncologic imaging. This article reviews the application and progress of texture analysis in the therapeutic effect prediction and prognosis of nCRT for colorectal cancer.

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references

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