Semi-automatic and automatic segmentation in the preoperative assessment of graft volume before living donor liver transplantation

IF 3.3 3区医学 Q1 RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING

European Journal of Radiology Pub Date : 2025-08-18 DOI:10.1016/j.ejrad.2025.112367

Dinara Baiguissova , Yerkezhan Kalshabay , Michele Di Martino , Galina Battalova , Aigerim Mukhamejanova , Assan Kabidenov , Daniyar Mukazhanov , Yermek Akhmetov , Bolatbek Baimakhanov

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引用次数: 0

Abstract

Objectives

Accurate preoperative liver volumetry is essential for successful living donor liver transplantation (LDLT). Manual CT volumetry is time-consuming and operator-dependent, prompting the development of semi −automated and automated methods. The aim of this study is to compare the accuracy of one semi-automated (Vitrea, Canon) and two automated (Synapse, Fujifilm and United Imaging, UI) CT volumetry workstations in estimating liver graft volume of the right lobe, left lobe, and left lateral segment relative to intraoperative graft weight.

Methods

This retrospective study included 95 living liver donors (67 right lobe, 12 left lobe, and 16 left lateral segments) who underwent LDLT from 2022 to 2024. Estimated graft volumes were compared with actual graft weight (AGW). Correlation, percentage error, interobserver agreement, and potential influences of donors’ age and gender on estimation accuracy were assessed.

Results

All three methods demonstrated strong correlation with AGW (p < 0.001). Application Liver Analysis of the workstation Synapse showed significantly higher accuracy in the right lobe volume estimation compared to the others (p < 0.001), as well as in the left lateral segment estimation compared to Vitrea (p < 0.001) and UI (p = 0.006). Interobserver agreement was high, and no significant influence of donors’ age or gender was found.

Conclusion

All three volumetry tools are reliable and user-friendly for preoperative planning for LDLT. Among them, Liver Analysis of Synapse demonstrated the highest accuracy in assessing right lobe and left lateral sector volumes, offering potential advantages in surgical decision-making.

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活体肝移植术前移植物体积评估的半自动和自动分割

目的准确的术前肝容量测量是活体肝移植（LDLT）成功的关键。手动CT体积测量耗时且依赖于操作人员，这促使了半自动和自动化方法的发展。本研究的目的是比较一种半自动（Vitrea, Canon）和两种自动化（Synapse， Fujifilm和United Imaging， UI） CT体积测量工作站在估计肝移植物右叶、左叶和左外侧段体积相对于术中移植物重量的准确性。方法回顾性研究95例活体肝供者（67例右肝、12例左肝、16例左外侧肝），于2022年至2024年行LDLT手术。将估计接枝体积与实际接枝重量（AGW）进行比较。评估了相关性、百分比误差、观察者间一致性以及供体年龄和性别对估计准确性的潜在影响。结果三种方法均与AGW有较强相关性（p < 0.001）。工作站突触的肝脏应用分析显示，与其他方法相比，右脑叶体积估计的准确性明显更高（p < 0.001），左侧脑叶体积估计的准确性也明显高于Vitrea （p < 0.001）和UI （p = 0.006）。观察者之间的一致性很高，没有发现捐赠者年龄或性别的显著影响。结论三种体积测量工具均可用于低密度肝移植术前规划。其中，Liver Analysis of Synapse在评估右叶和左外侧扇区体积方面表现出最高的准确性，为手术决策提供了潜在的优势。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

European Journal of Radiology 医学-核医学

CiteScore

6.70

自引率

3.00%

发文量

398

审稿时长

42 days

期刊介绍： European Journal of Radiology is an international journal which aims to communicate to its readers, state-of-the-art information on imaging developments in the form of high quality original research articles and timely reviews on current developments in the field. Its audience includes clinicians at all levels of training including radiology trainees, newly qualified imaging specialists and the experienced radiologist. Its aim is to inform efficient, appropriate and evidence-based imaging practice to the benefit of patients worldwide.