高度状内皮损伤 (HSIL) 阳性疾病风险诺莫格拉姆模型:一个单一中心的回顾分析
Qiu-Zhen Wu1, Mao-Hua Lin1, Jian-Rui Zheng1
1Department of Pathology, Mindong Hospital Affiliated to Fujian Medical University, Fuan, 355000, People's Republic of China.
International journal of women's health
|November 10, 2025
概括
一个新的名图准确地预测使用ThinPrep细胞学测试 (TCT) 和Aptima HPV E6/E7 mRNA (AHPV) 结果的高度状内皮层病变或更糟 (HSIL+). 这个工具有助于个性化管理宫癌查.
科学领域:
- 妇科 妇科医生 妇科
- 在瘤学瘤学.
- 诊断病理学的诊断病理学
背景情况:
- 宫癌查依赖细胞学和HPV测试来检测癌前病变.
- 准确预测高度状内皮层病变或更严重的病变 (HSIL+) 对于及时干预至关重要.
- 现有的预测模型可能无法完全整合组合细胞学和HPV mRNA测试结果.
研究的目的:
- 开发和验证一个用于预测HSIL+的名ogram.
- 将ThinPrep细胞学测试 (TCT) 和Aptima HPV E6/E7 mRNA (AHPV) 测试结果纳入预测模型.
- 为临床医生管理患有异常宫查结果的患者提供实用工具.
主要方法:
- 一项诊断研究招募了3202名被转诊进行大肠镜检查的患者.
- 开发了一个二进制后勤回归模型,并使用训练 (70%) 和验证 (30%) 集构建了一个名ogram.
- 用ROC曲线,校准图和决策曲线分析 (DCA) 来评估模型性能.
主要成果:
- 最终的多变量模型包括各种细胞学结果和HPV类型.
- 命名图表显示出优异的歧视,AUC为0.843 (培训) 和0.833 (验证).
- 良好的校准和临床实用性跨越广泛的风险值 (2% - 50%) 被DCA证实.
结论:
- 开发的物流-nomogram是一个准确和实用的工具来预测HSIL+.
- 这种名图可以帮助个性化临床管理患有异常宫查的患者.
- 整合TCT和AHPV测试可以提高宫癌前病变的预测准确度.
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