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预测脑癌患者的术后存活率:一个基于人群的研究

Silin Zhang¹, Weiping Wang¹, Sa Chen¹

¹Department of Otolaryngology, Shenzhen Hospital, Southern Medical University, Shenzhen, China.

Translational cancer research

|December 11, 2025

概括

这项研究开发了一种名谱,用于在手术后预测头癌 (HNACC) 患者的预后. 该模型为更好的临床决策提供了更好的预后准确性和风险分层.

科学领域:

在瘤学瘤学.
手术瘤学手术瘤学
生物统计学生物统计学

背景情况:

头腺细胞癌 (HNACC) 是通过手术治疗的.
在手术后预测HNACC患者的长期结果具有挑战性.
需要一个名ogram模型来准确预测预后和风险分层.

研究的目的:

开发和验证用于预测HNACC患者手术后结果的诺米克图.
改善HNACC管理的风险分层和临床决策.

主要方法:

使用了对HNACC患者的监测,流行病学和最终结果 (SEER) 数据库 (2004-2015).
在培训队列 (70%) 上使用考克斯回归分析开发了一个名录,并在单独的队列 (30%) 上验证了它.
使用一致性指数 (C指数),校准图,决策曲线分析 (DCA) 和卡普兰-梅尔曲线评估预测准确性和校准.

主要成果:

确定瘤大小,组织学等级,AJCC阶段和M阶段作为癌症特异性存活率 (CSS) 的独立预后因素.
诺米图实现了高预测准确度,C指数为0.898 (培训) 和0.840 (验证).
通过ROC曲线和C指数分析,与TNM分期和病理分级相比,表现优越.

结论:

开发的诺米图为手术治疗的HNACC患者提供了更高的预后准确性.
该模型有助于风险分层,支持改善临床决策.
这种工具对于评估HNACC的术后结果是有价值的.

关键词:

术后生存率术后生存率监测,流行病学和最终结果 (SEER)头部和部状细胞癌 (HNACC)这个名字是名ogramogram.预测预测预测预测手术手术手术手术手术手术手术

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