Optimizing accuracy: a comparative analysis of preoperative liver volumetry in living donor liver transplantation from a surgeon's perspective - a retrospective cohort study

优化准确性:从外科医生的角度对活体肝移植术前肝脏体积测量进行比较分析——一项回顾性队列研究

阅读:1

Abstract

BACKGROUND: Accurate preoperative graft volume assessment is fundamental to the success of living donor liver transplantation (LDLT). Although manual and automated computed tomography (CT) volume measurement methods using various volumetric tools are widely used, their accuracy remains uncertain. This study aimed to compare various CT-based volumetric measurement methods for predicting actual graft weight (AGW) in LDLT and to identify specific dry weight correction factors for each method to improve clinical reliability. MATERIALS AND METHODS: A retrospective diagnostic accuracy study was performed on 109 patients who underwent LDLT between 2011 and 2024. Right liver volume was measured using automated (Philips Healthcare software), semi-automated (AnyVol software), and manual volumetry (PetaVision for clinics) methods. The optimal dry weight correction factor was calculated for each method. RESULTS: The optimal dry weight correction factors were 0.89 for the automated method, 0.82 for the semi-automated method, and 0.88 for the manual method. After applying these correction factors, the semi-automated method yielded the highest coefficient of determination ( R2  = 0.687, standard error [SE] = 91.939). The error ratio decreased significantly: from 11.30% ± 14.59% to -0.93% ± 12.98% for the automated method, from 20.51% ± 15.65% to -1.18% ± 12.83% for the semi-automated method, and from 11.89% ± 14.67% to -1.53% ± 12.91% for the manual method. CONCLUSIONS: Accurate prediction of AGW depends on applying optimal correction factors specific to each measurement method. All three methods showed high accuracy with the semi-automated method demonstrating the highest R2 and lowest SE, while the automated method exhibited the lowest error ratio. These findings support the use of cost-effective, software-based volumetry with tailored correction factors to improve donor safety and graft outcomes.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。