相关实验视频
Updated: Jun 26, 2026

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Robot-Assisted Kidney Transplantation
Published on: July 19, 2021
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术前风险计算器,用于完成脏癌症脏节省的概率
Francesco Cei1, Alessandro Larcher2, Giuseppe Rosiello2
1Division of Experimental Oncology/Unit of Urology; URI; IRCCS Ospedale San Raffaele, Milan, Italy; University Vita-Salute San Raffaele, Milan, Italy.
Urologic oncology
|April 21, 2024
概括
一个新的模型准确地预测了对瘤的部分切除术 (PN) 与激进切除术 (RN) 的完成概率. 该工具使用患者数据,瘤复杂性和外科医生的经验来改善手术前决策.
科学领域:
- 泌尿器科 泌尿器科 泌尿器科 泌尿器科
- 在瘤学瘤学.
- 外科手术的结果
背景情况:
- 在没有预测模型的情况下,部分切除术 (PN) 完成的术前估计是主观的和不准确的.
- 在PN和彻底切除术 (RN) 之间进行质治疗的决定需要客观的概率评估.
研究的目的:
- 开发一个基于证据的模型,客观地评估PN完成的概率.
- 确定患者特征,瘤复杂性,泌尿科医生专业知识和手术方法作为PN完成的预测因素.
主要方法:
- 一个多变量逻辑回归模型是使用675名为cT1-2 cN0 cM0质治疗的患者的数据开发的.
- 瘤复杂性的评估是使用SPARE分数进行的. 模型验证使用引导分析进行.
- 研究了PN完成的预测因素,包括瘤大小,SPARE得分,外科医生经验和手术方法 (机器人,开放,腹腔镜).
主要成果:
- 在53%的病例中进行PN. 与更高PN完成概率相关的因素包括较小的瘤,较低的SPARE分数,更大的外科医生经验,以及机器人或开放的方法超过腹腔镜.
- 开发的模型显示了0.94 (95% CI 0.93-0.95) 的高预测准确度.
结论:
- 对于质的PN完成的概率可以准确地预测在术前使用常规可用的临床信息.
- 拟议的模型可以帮助在手术前的决策,患者的同意,和辅导质手术.
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