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Updated: Feb 12, 2026

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

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基于机器学习的模型的开发和验证,用于预测在经过新辅助化疗后临床结节阴性乳腺癌患者的哨兵淋巴结转移

Zhicai Duan1, Peng Zhou1, Xiaoli Xia2

  • 1Department of Breast Surgery, Affiliated Hospital of Southwest Medical University, Luzhou, China.

Gland surgery
|February 11, 2026
PubMed
概括

这项研究发现,后勤回归准确地预测了新辅助化疗后乳腺癌患者的哨兵淋巴结转移. 这支持在低风险患者中潜在地跳过哨兵淋巴结活检.

关键词:
乳腺癌 乳腺癌 乳腺癌机器学习是机器学习.新辅助疗法是一种新辅助疗法.哨兵淋巴结活检 (SLNB) 是一种临床方法.

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