关于计算机断层扫描得分的建议,以预测皮肤肺活检后需要住院的重大并发症:单中心回顾性研究
Satcha Ortmans1, Fabien de Oliveira1, Chris Serrand2
1Department of Medical Imaging, PRIM Platform, Nîmes University Hospital, University of Montpellier, Medical Imaging Group Nîmes, IMAGINE, Nîmes, France.
Quantitative imaging in medicine and surgery
|September 16, 2024
概括
图像引导穿皮肺活检 (PLB) 的主要并发症率为10.4%. 一个新的基于CT的得分,PILIP,有助于识别患有需要住院治疗的并发症高风险的患者.
科学领域:
- 肺部病理学 肺部病理学
- 放射学 放射学是一门学科.
- 医疗成像医学成像
背景情况:
- 图像引导的皮肤肺活检 (PLB) 可能导致严重的并发症,需要住院治疗.
- 准确的风险分层对于患者管理和资源分配至关重要.
研究的目的:
- 评估PLB后主要并发症的发生率.
- 开发和验证预测性计算机断层扫描 (CT) 评分,以确定由于PLB并发症而面临住院风险的患者.
主要方法:
- 一个回顾性单中心研究分析了240个PLB程序.
- 记录了导致住院治疗的重大并发症.
- 使用CT发现的多变量分析开发了一个预测得分 (PILIP).
主要成果:
- 总体主要并发症率为10.4%.
- 与主要并发症独立相关的因素包括穿过的肺膜膜的长度,叶片位置,针道沿线的肺气,以及膜/剪刀吸引力.
- 皮利普得分有效地区分了低风险 (皮利普<4) 和高风险 (皮利普≥4) 的患者,具有高特异性 (0.95) 和负预测值 (0.93).
结论:
- PLB与10.4%的重大并发症率有关.
- 皮利普得分是一个有价值的,易于使用的工具,用于基于CT的风险分层的患者接受PLB,有助于预测需要住院的并发症.
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