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预测部分和根性切除术后估计的膜过率,基于用放射性核素测量的分裂功能:一项大规模的回顾性研究
Wanxiang Zheng1, Guangdong Hou1, Dongen Ju1
1Department of Urology, Xijing Hospital, Fourth Military Medical University, Xi'an, China.
World journal of urology
|October 31, 2023
概括
这项研究开发了新的模型来预测脏功能在脏质量手术后. 这些工具使用放射性核素膜过率 (rGFR) 来帮助医生在激进切除术 (RN) 或部分切除术 (PN) 之间做出选择.
科学领域:
- 腎臟病學 (nephrology) 是一種醫學專業.
- 泌尿器科 泌尿器科 泌尿器科 泌尿器科
- 放射学 放射学是一门学科.
背景情况:
- 在患有复杂质患者的手术决策中,准确预测术后估计的球过率 (eGFR) 是至关重要的.
- 在彻底切除术 (RN) 和部分切除术 (PN) 之间做出选择,需要对术后的功能进行可靠的预测.
- 用放射性核素 (rGFR) 测量的分裂膜过率为这些预测提供了潜在的基础.
研究的目的:
- 开发和验证术后eGFR的预测模型,以后的RN和PN.
- 在这些模型中,利用手术前分割rGFR测量作为主要预测因素.
- 为了帮助进行手术前决策,对质进行手术干预.
主要方法:
- 在2008年至2022年期间,对单个质进行了RN或PN的患者进行了回顾性分析.
- 使用技术-99m-乙烯胺酸 (Tc-99m DTPA) 动态成像评估的手术前分裂rGFR.
- 线性混合效应模型用于预测短期 (<7天) 和长期 (3个月至5年) 的eGFR;预测能力用边际R平方量化.
主要成果:
- 在RN (边际R2=0.554) 和PN (边际R2=0.630) 之后,建立了用于预测长期eGFR的模型.
- 还开发了用于预测RN (边际R2=0.692) 和PN (边际R2=0.656) 后短期eGFR的模型.
- 腹腔镜和机器人手术在RN和PN中显示了长期eGFR的优异结果,与开放式手术相比.
结论:
- 在RN和PN之后,成功开发了短期和长期eGFR的新型预测工具.
- 这些基于分割rGFR的模型为手术前的外科规划提供了有价值的定量见解.
- 这些发现支持使用这些预测工具来优化患者管理和手术方法选择.
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