[3D visualization-based classification of left intrahepatic vessels and its application in precision hepatectomy].

Q3 Medicine
Jun Zheng, Zhihua Wang, Xiaojun Hu, Xiang He, Yingfang Fan
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引用次数: 0

Abstract

Objectives: To establish a three-dimensional (3D) visualization-based classification of the left hepatic portal vein (LHPV) and left hepatic vein (LHV) systems using 3D reconstruction technology to facilitate precise segmental/subsegmental resection of left liver lesions.

Methods: Thin-slice contrast-enhanced CT datasets from 244 patients were reconstructed using MI-3DV Works software. The spatial anatomy (origins, branching patterns, and spatial relationships) of the LHPV and LHV branches was analyzed to determine their 3D classifications and segmental liver divisions for guiding surgical planning for anatomical left liver resections.

Results: The 3D models of the third- and fourth-order branches of the LHPV and LHV were successfully reconstructed for all the 244 patients. Two types of the LHPV system were identified, where the LHPV either had independent origins [242 cases (99.1%)] or had right anterior portal branches arising from the LHPV trunk [2 cases (0.9%)]. 3D classifications identified two types of the Segment II of the LHPV (based on branch number), 3 types of the Segment III (by spatial distribution of the branches), compact vs dispersed types of the left lateral lobe (determined by Segment II/III branches proximity), 3 types of the Segment IV (by branch number and origin), and 3 types the fourth hilar vessels (transverse branches of the left portal vein) for their supplied segments. The LHV system had two drainage types into the inferior vena cava, and the umbilical fissure veins were classified into 3 types by drainage patterns and distance to the venous roots. These classifications combined with liver segmentations allowed individualized surgical planning for segment-specific resections.

Conclusions: The 3D classification of the LHPV and LHV provides valuable clinical guidance for precise anatomical resections of left liver lesions using liver segments or subsegments as anatomical units to enhance surgical accuracy and improve the outcomes of hepatobiliary surgery.

[基于三维可视化的左肝内血管分类及其在精密肝切除术中的应用]。
目的:利用三维重建技术建立左肝门静脉(LHPV)和左肝静脉(LHV)系统的三维(3D)可视化分类,以方便左肝病变的精确节段/亚节段切除。方法:采用MI-3DV Works软件对244例患者的薄层增强CT数据进行重建。分析LHPV和LHV分支的空间解剖(起源、分支模式和空间关系),确定其三维分类和肝节段划分,指导解剖性左肝切除术的手术计划。结果:244例患者均成功建立了LHPV和LHV三、四阶分支的三维模型。我们确定了两种类型的LHPV系统,其中LHPV要么有独立的起源[242例(99.1%)],要么有起源于LHPV干的右前门静脉分支[2例(0.9%)]。3D分类确定了LHPV的2种类型的II节段(基于分支数量),3种类型的III节段(通过分支的空间分布),左外侧叶紧凑型与分散型(由II/III节段分支接近程度决定),3种类型的IV节段(通过分支数量和起源),以及3种类型的第四门血管(左门静脉横支)。LHV系统进入下腔静脉有两种引流方式,脐裂静脉根据引流方式和到静脉根的距离可分为3种。这些分类与肝分段相结合,允许个体化手术计划进行特定节段的切除。结论:LHPV和LHV的三维分型对以肝段或肝亚段为解剖单位精确解剖切除左肝病变提供了有价值的临床指导,可提高手术精度,改善肝胆手术疗效。
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
南方医科大学学报杂志
南方医科大学学报杂志 Medicine-Medicine (all)
CiteScore
1.50
自引率
0.00%
发文量
208
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