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宫清细胞癌和宫内膜腺癌的诺莫格拉姆预测模型和预后比较:一项SEER数据库研究

Jimiao Huang¹, Xiaoyan Li¹, Yiling Zhuang¹

¹College of Clinical Medicine for Obstetrics & Gynecology and Pediatrics, Fujian Medical University, Fujian Maternity and Child Health Hospital, Fuzhou, China.

Cancer medicine

|March 11, 2026

概括

一个新的预后模型准确地预测了罕见的宫癌,宫清细胞腺癌 (CCAC) 和宫内膜腺癌 (CEAC) 的存活率. 该工具有助于识别高风险患者,以便及时进行干预.

科学领域:

妇科瘤学妇科瘤学
癌症预后癌症预后
流行病学流行病学

背景情况:

宫清细胞腺癌 (CCAC) 和宫内膜腺癌 (CEAC) 是罕见的,侵袭性的,非HPV相关的恶性瘤.
这些亚型具有组织学上的相似性,但表现出不同的生物行为,使治疗和预后复杂化.

研究的目的:

开发和验证CCAC和CEAC的多变量预后模型.
通过使用SEER数据库,加强对这些罕见的宫癌的临床决策.

主要方法:

从SEER数据库中分析了775个CEAC和421个CCAC案件.
开发和内部验证使用7:3队列分割的多变量名录.
通过AUC,Brier分数,校准,决策曲线分析 (DCA) 和临床影响曲线 (CIC) 进行性能评估.

主要成果:

诺米图表表现出了优异的校准和对整体存活率 (OS) 预测的歧视.
在发育 (例如,在12个月时达到0.894) 和验证队列 (例如,在12个月时达到0.814) 均实现了高AUC值.
该模型有效地将患者分为低风险,中风险和高风险组,具有统计学上显著的生存差异 (p < 0.0001).

结论:

为量化CCAC和CEAC患者的OS风险,开发了一种强大的名谱.
这种预后工具有助于临床医生识别高风险个体.
促进及时和有针对性的干预,以改善患者的治疗结果.

关键词:

在 SEER 数据库中,我们可以看到宫子宫内膜腺癌宫子宫内膜腺癌宫清细胞腺癌瘤预后性名ogram 预后性名ogram 是一个名ogram.

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