相关实验视频

Updated: Sep 16, 2025

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
07:13

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

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在经典的临床病理学评分 (PREDICT 2.1,INFLUENCE 2.0,CTS5) 上,RSClin是否提供了额外的信息?

Ana-Alicia Beltran-Bless1, Gregory R Pond2, Jane Bayani3

  • 1Division of Medical Oncology, Department of Medicine, The University of Ottawa, Ottawa, Canada.

Breast (Edinburgh, Scotland)
|July 9, 2025
PubMed
概括

将基因表达概况与临床病理因素相结合,可以改善乳腺癌的早期预后. 与其他风险计算器和基因表达试验相比,RSClin工具在N0患者中表现出更好的预后能力.

关键词:
一个辅助的辅助.乳腺癌 乳腺癌 乳腺癌临床风险 临床风险基因表达特征分析预测预测预测预测的时间.在RSClin上使用.

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