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基于 CT 的精确肝体积计算,包括三维肝重建中非代谢性肝组织。

Exact CT-based liver volume calculation including nonmetabolic liver tissue in three-dimensional liver reconstruction.

机构信息

Department of General, Visceral, and Transplant Surgery, University of Heidelberg, Heidelberg, Germany.

出版信息

J Surg Res. 2010 May 15;160(2):236-43. doi: 10.1016/j.jss.2009.04.050. Epub 2009 Jun 6.

Abstract

Exact preoperative determination of the liver volume is of great importance prior to hepatobiliary surgery, especially in living donated liver transplantation (LDLT) and extended hepatic resections. Modern surgery-planning systems estimate these volumes from segmented image data. In an experimental porcine study, our aim was (1) to analyze and compare three volume measurement algorithms to predict total liver volume, and (2) to determine vessel tree volumes equivalent to nonmetabolic liver tissue. Twelve porcine livers were examined using a standardized three-phase computed tomography (CT) scan and liver volume was calculated computer-assisted with the three different algorithms. After hepatectomy, livers were weighed and their vascular system plasticized followed by CT scan, CT reconstruction and re-evaluation of total liver and vessel volumes with the three different algorithms. Blood volume determined by the plasticized model was at least 1.89 times higher than calculated by multislice CT scans (9.7% versus 21.36%, P=0.028). Analysis of 3D-CT-volumetry showed good correlation between the actual and the calculated liver volume in all tested algorithms with a high significant difference in estimating the liver volume between Heymsfield versus Heidelberg (P=0.0005) and literature versus Heidelberg (P=0.0060). The Heidelberg algorithm reduced the measuring error with deviations of only 1.2%. The present results suggest a safe and highly predictable use of 3D-volumetry in liver surgery for evaluating liver volumes. With a precise algorithm, the volume of remaining liver or single segments can be evaluated exactly and potential operative risks can therefore be better calculated. To our knowledge, this study implies for the first time a blood pool, which corresponds to nonmetabolic liver tissue, of more than 20% of the whole liver volume.

摘要

在肝胆外科手术之前,准确地预测肝脏体积非常重要,尤其是在活体供肝移植(LDLT)和扩大肝切除术中。现代手术规划系统根据分段图像数据来估计这些体积。在一项实验性猪研究中,我们的目的是:(1)分析和比较三种体积测量算法,以预测总肝体积;(2)确定与非代谢性肝组织等效的血管树体积。使用标准化的三相 CT 扫描检查 12 个猪的肝脏,并使用三种不同的算法通过计算机辅助计算肝脏体积。肝切除术后,将肝脏称重,然后将其血管系统塑化,然后进行 CT 扫描、CT 重建,并使用三种不同的算法重新评估总肝和血管体积。通过塑化模型确定的血液体积至少比多层 CT 扫描高 1.89 倍(9.7%比 21.36%,P=0.028)。三维 CT 容积分析显示,所有测试算法的实际肝脏体积与计算肝脏体积之间均具有良好的相关性,Heymsfield 算法与 Heidelberg 算法(P=0.0005)以及文献算法与 Heidelberg 算法(P=0.0060)之间的肝脏体积估计值差异具有高度显著性。Heidelberg 算法的测量误差较小,偏差仅为 1.2%。这些结果表明,3D 容积测量术可安全且高度准确地用于肝外科手术中的肝脏体积评估。使用精确的算法,可以准确评估剩余肝脏或单个肝段的体积,因此可以更好地计算潜在的手术风险。据我们所知,本研究首次表明,血液池对应于超过整个肝体积 20%的非代谢性肝组织。

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