在口腔状细胞癌中宫淋巴结转移:从转移模式和风险因素到预测模型的开发和验证
Xiao-Hu Wang1, Lei-Ming Cao1, Zhao-Qi Zhu1
1State Key Laboratory of Oral & Maxillofacial Reconstruction and Regeneration, Key Laboratory of Oral Biomedicine Ministry of Education, Hubei Key Laboratory of Stomatology, School & Hospital of Stomatology, Wuhan University, Wuhan 430079, China.
Oral oncology
|January 21, 2026
概括
这项研究开发了在口腔状细胞癌 (OSCC) 中宫淋巴结转移 (CLNM) 的新预测模型. 该模型准确地识别了CLNM风险,帮助OSCC患者做出个性化治疗决策.
科学领域:
- 在瘤学瘤学.
- 头部和部手术 头部和部手术
- 生物统计学 生物统计学
背景情况:
- 宫淋巴结转移 (CLNM) 是口腔状细胞癌 (OSCC) 的关键预后指标.
- 准确预测CLNM对于OSCC管理中的有效,个性化的治疗策略至关重要.
- 现有的预测方法需要加强,以改善风险分层.
研究的目的:
- 开发和内部验证一种用于预测口腔状细胞癌 (OSCC) 中的CLNM的新型名谱.
- 确定与OSCC患者中CLNM风险相关的关键临床和病理因素.
- 提供个性化风险评估工具,以指导部管理策略.
主要方法:
- 对3723名OSCC患者的回顾性分析,其中2792人有资格参加培训和验证.
- 开发一个多变量逻辑回归模型,使用逐步前向和后向消除来进行预测器选择.
- 使用歧视 (AUC) 和校准评估对名录的内部验证.
主要成果:
- 开发了一个包含六个因素的名图:临床T阶段,临床N阶段,组织学等级,围神经侵袭,从发病到治疗的时间和酒精消耗.
- 在训练组 (AUC = 0.780) 和验证组 (AUC = 0.744) 中,名图显示了良好的区别.
- 该模型表现出极好的校准和临床实用性,准确预测了CLNM风险.
结论:
- 内部验证的名录是预测OSCC中CLNM风险的可靠工具.
- 这种预测模型可以帮助临床医生为OSCC患者量身定制部管理策略.
- 建议进行进一步的外部验证,以确认名图的概括性和临床影响.
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