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Updated: Jan 15, 2026

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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[基于血液学参数和临床病理学特征预测喉状细胞癌患者的宫淋巴结转移的诺莫грам的开发和验证]

Shanshan Tian1, Yu Song2, Ningyuan Wang3

  • 1Shandong First Medical University＆Shandong Academy of Medical Sciences，Ji'nan，250000，China.

Lin chuang er bi yan hou tou jing wai ke za zhi = Journal of clinical otorhinolaryngology head and neck surgery
|October 15, 2025
PubMed
概括

这项研究确定了瘤的位置,大小,分化,CRP和NLR作为喉癌中宫淋巴结转移的关键预测因素. 一个开发的诺莫格拉姆模型准确地评估了个性化治疗规划的风险.

关键词:
宫淋巴结转移的发生.临床病理学特征 临床病理学特征血液学参数 血液学参数喉皮状细胞癌瘤命名图形模型 命名图形模型

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