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开发和验证乳腺癌相关淋巴 edem 的 nomogram
Qihua Jiang1, Hai Hu2, Jing Liao1
1Department of Breast Surgery, Third Hospital of Nanchang, No. 2, Xiangshan South Road, Xi Hu District, Nanchang City, 330008, Jiangxi Province, China.
Scientific reports
|July 6, 2024
概括
一种新型的诺米图准确地预测了中国患者患乳腺癌相关淋巴风险. 该工具通过评估个体BCRL概率来帮助个性化对乳腺癌幸存者的护理.
科学领域:
- 在瘤学瘤学.
- 医学统计 医学统计
- 临床预测建模临床预测建模
背景情况:
- 与乳腺癌相关的淋巴 (BCRL) 是影响乳腺癌幸存者的重大并发症.
- 准确的风险评估对于个性化的预防和管理策略至关重要.
- 现有的预测模型可能无法完全捕捉不同患者群体的BCRL风险.
研究的目的:
- 在中国患者队列中开发和验证与乳腺癌相关的淋巴 (BCRL) 的预测性名录.
- 确定与BCRL发展相关的关键临床和外科因素.
- 为个性化BCRL风险评估和管理提供一个工具.
主要方法:
- 在2020年至2022年期间接受治疗的1485名乳腺癌患者的回顾性分析.
- 后勤回归分析以确定BCRL的风险因素.
- 使用R软件开发和内部验证一个名ogram,用ROC曲线,校准图和DCA进行评估.
主要成果:
- 在1485名患者中,有360名患者 (24.2%) 患有BCRL.
- 有意义的预测因素包括BMI,手术时间,淋巴结数量,关剖析水平,手术部位感染和放射治疗.
- 该名录显示出良好的区分能力,AUC为0.779 (训练) 和0.724 (验证).
结论:
- 开发的诺米图是临床上有用且准确的工具,用于预测中国乳腺癌患者的BCRL风险.
- 这个模型可以帮助针对乳腺癌幸存者的个性化风险评估和管理策略.
- 建议进行进一步的多中心前性验证,以确认名图的概括性.
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