基于随机森林和后勤回归算法预测乳房直至植入器乳房重建失败的预测:一项针对中国人口的多中心研究
Mingjun Sun1, Zhuming Yin1, Jiandong Lyu2
1Tianjin Medical University Cancer Institute & Hospital Department of Breast Reconstruction and Oncoplastic Surgery, National Clinical Research Center for Cancer, Tianjin's Clinical Research Center for Cancer, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Key Laboratory of Cancer Prevention and Therapy, Tianjin, Sino-Russian Joint Research Center for Oncoplastic Breast Surgery, PR China.
Journal of plastic, reconstructive & aesthetic surgery : JPRAS
|December 19, 2024
概括
直接植入乳房的乳房重建失败与伤口脱落和感染有很大关系. 在手术前控制体重对于乳房重建的成功结果至关重要.
科学领域:
- 整形外科 整形外科 整形外科
- 重建性手术是一种重建性手术.
- 在瘤学瘤学.
背景情况:
- 直接植入 (DTI) 乳房重建是乳房切除术后的常见手术.
- 关于DTI重建失败的研究有限,需要对风险因素进行全面分析.
- 识别失败的关键预测因素对于改善患者的治疗结果至关重要.
研究的目的:
- 综合分析与直接植入乳房重建失败相关的风险因素.
- 使用机器学习和统计方法开发重建失败的预测模型.
- 通过多中心外部验证来验证这些模型.
主要方法:
- 对538名接受DTI乳房重建的患者进行了回顾性分析.
- 开发和验证随机森林和物流回归模型以确定风险因素.
- 开发的预测模型的多中心外部验证.
主要成果:
- 感染和伤口脱光被确定为DTI重建失败的最重要的危险因素.
- 较高的身体质量指数 (BMI),感染和伤口消化与失败风险增加相关.
- 后勤回归模型表现出强大的内部 (ROC 0.995) 和外部 (ROC 0.826) 验证.
结论:
- 伤口脱光和感染是DTI乳房重建失败的关键风险因素.
- 术前体重管理对于降低重建失败的风险很重要.
- 预测模型可以帮助识别DTI乳房重建的高风险患者.
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