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Updated: Jan 29, 2026

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使用CT图像纹理分析构建结直肠癌患者预后生存模型:一项前性队列研究

Chen-Hua Sun^1,2,3, Hao-di Wang^1,2,3, Wen-Hao Sun^1,2,3

¹Affiliated Hospital of Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.

Frontiers in oncology

|January 28, 2026

概括

这项研究开发了一种使用纹理分析 (TA) 和CT扫描的结直肠癌 (CRC) 生存预测模型. 该模型将放射学特征与TNM分期集成在一起,以改善长期生存结果预测.

科学领域:

在瘤学瘤学.
放射学放射学是一门学科.
医学成像分析医学成像分析

背景情况:

目前的结直肠癌预后指标,主要是病理阶段,对长期生存的预测价值有限.
需要改进预后模型,以指导结直肠癌管理中的个性化治疗策略.

研究的目的:

开发和验证结直肠癌患者的预后预测模型,使用来自CT扫描的纹理分析 (TA).
通过将TA与传统的病理分期相结合,增强对长期生存结果的预测.

主要方法:

236名结肠直肠癌患者接受了无增强和增强对比度的腹部CT扫描.
使用MaZda软件提取了纹理特征,并与病理阶段数据相结合.
统计分析包括考克斯回归,拉索回归,名谱,ROC曲线分析和Kaplan-Meier生存分析,并进行外部验证.

主要成果:

纹理特征 (例如,Teta1,Teta4,WavEnLL_s-2,GrSkewness,Horzl_RLNonUni) 与患者生存时间存在相关性.
开发了名图,以估计患者的生存率,并协助治疗决策.
拉索回归和名图使预测在外科手术期间预测的五年生存期的直观评估更容易.

结论:

放射学分析,当与TNM分期集成时,可以显著帮助构建强大的结直肠癌生存预测模型.
这种方法为预测长期存活提供了新的见解,并支持开发个性化治疗策略.

关键词:

拉索回归法 (Lasso Regression) 是一种回归法.结肠直肠癌是什么意思这个名字是名ogramogram.生存预测模型的生存预测模型.质地分析,质地分析.

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