基于三种非侵入性查工具APCS,FIT和sDNA的数据,开发一种预测结肠直肠癌及其癌前病变的诺莫图
Yuan Ze1, Hui-Ming Tu2, Yuan-Yuan Zhao1
1Tumor Research and Therapy Center, Shandong Provincial Hospital Affiliated to Shandong First Medical University, Jinan, 250021, People's Republic of China.
Journal of multidisciplinary healthcare
|June 21, 2024
概括
一种新型的诺米图准确地预测了使用非侵入性查工具的阳性结肠镜检查结果,如亚太大肠查 (APCS) 评分,FIT和sDNA测试. 这种工具有助于早期发现结直肠癌和相关疾病.
科学领域:
- 胃肠病学 胃肠病学
- 在瘤学瘤学.
- 医学诊断 医学诊断 医学诊断
背景情况:
- 结肠直肠癌 (CRC) 查对于早期检测和预防至关重要.
- 非侵入性查方法对于患者的遵从性和可访问性越来越重要.
- 准确预测阳性结肠镜检查结果可以优化资源配置和患者管理.
研究的目的:
- 开发和验证一个用于预测阳性结肠镜检查结果的诺姆图.
- 整合来自非侵入性查策略的数据,以提高预测准确度.
- 为识别可能患有结直肠瘤的个体提供一种工具.
主要方法:
- 利用亚太大肠直肠查 (APCS) 评分,便免疫化学测试 (FIT) 和便脱氧核糖酸 (sDNA) 测试的数据.
- 采用后勤回归分析来开发预测模型.
- 随机分配参与者参加培训 (70%) 和验证 (30%) 模型开发和评估.
主要成果:
- 诺米图包括APCS得分,FIT和sDNA结果作为重要的预测因素.
- 在验证集中实现了0.768的C指数,表明了良好的预测性能.
- 与单独FIT+sDNA测试相比,表现出优异的预测能力,曲线下面面积 (AUC) 更高.
结论:
- 一个经过验证的诺姆图有效地预测了使用非侵入性查工具的阳性结肠镜检查结果.
- 开发的诺米图谱为提高结直肠癌查准确度提供了一个有前途的工具.
- 这种方法可以提高结直肠癌,晚期腺瘤和内皮质瘤的早期检测.
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