在患有威尔姆斯瘤的儿童中,预测瘤复发的预测名字模型
Xinxin Wang1, Jie Luan2, Yanyan Yuan3
1Intensive Care Medicine Department, Qingdao Central Hospital, University of Health and Rehabilitation Sciences (Qingdao Central Hospital), 266000 Qingdao, Shandong, China.
Archivos espanoles de urologia
|February 13, 2025
概括
这项研究确定了临床阶段,组织学风险,Ki-67,瘤体积,囊破裂和不完全切除作为儿童威尔姆斯瘤 (WT) 复发的关键风险因素. 开发了一种预测性诺莫格拉姆模型,以识别高风险患者进行早期干预.
科学领域:
- 儿科瘤学 儿科瘤学
- 癌症研究 癌症研究
- 医疗信息学 医疗信息学
背景情况:
- 威尔姆斯瘤 (WT) 是最常见的儿科癌.
- 确定WT复发的因素对于改善患者的治疗结果至关重要.
- 预测模型可以帮助风险分层和个性化治疗策略.
研究的目的:
- 追溯分析影响儿童中WT复发的因素.
- 建立一个名字模型来预测WT复发风险,手术后12个月.
- 为了确定高风险的儿科WT患者及时干预.
主要方法:
- 对119名WT儿童的回顾性分析 (2020年1月至2022年1月).
- 多变量后勤回归用于识别复发风险因素.
- 使用ROC和校准曲线构建和验证一个名ogram模型.
主要成果:
- 临床阶段,组织学风险,Ki-67,瘤体积,囊破裂和不完全切除是显著的风险因素 (OR>1,p <0.05).
- 诺莫格拉姆模型表现出高预测准确度,AUC为0.911.
- 该模型显示了良好的校准,表明预测和实际复发风险之间的一致性.
结论:
- 确定了与WT复发相关的关键临床和病理因素.
- 开发了一种经过验证的名谱,用于预测儿童中WT复发风险.
- 诺米图表有助于早期识别高风险患者,以进行有针对性的干预.
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