Saji Hisashi, Inoue Tatsuya, Kato Yasufumi, Shimada Yoshihisa, Hagiwara Masaru, Kudo Yujin, Akata Soichi, Ikeda Norihiko
Department of Thoracic Surgery, Tokyo Medical University, Tokyo, Japan.
Interact Cardiovasc Thorac Surg. 2013 Aug;17(2):227-32. doi: 10.1093/icvts/ivt120. Epub 2013 Apr 26.
The aim of this study was to demonstrate the feasibility and efficacy of a novel simulation software called, virtual segmentectomy.
We developed the segmentectomy simulation system, which was programmed to analyse the detailed 3D bronchovascular structure and to predict the appropriate segmental surface and surgical margin, based on lung modelling from CT images.
We have attempted this novel technique for 3 cases of pulmonary metastases and 1 case of multiple lung cancer. For validation, the predicted resection margin was compared with the actual resected specimen. The surgical surface, as estimated by the simulation, was compared with the surface of the specimen and a surgical video. To test its feasibility, the operation time, blood loss, durations of chest tube placement and hospitalization as well as pathological findings were assessed.
Preoperative simulation and intraoperative guidance by virtual segmentectomy could contribute significantly to determining the most appropriate anatomical segmentectomy and curative resection.
本研究旨在证明一种名为虚拟肺段切除术的新型模拟软件的可行性和有效性。
我们开发了肺段切除术模拟系统，该系统通过对CT图像进行肺部建模，编程分析详细的三维支气管血管结构，并预测合适的肺段表面和手术切缘。
我们已将这项新技术应用于3例肺转移瘤和1例多原发性肺癌患者。为进行验证，将预测的切除切缘与实际切除标本进行比较。将模拟估计的手术表面与标本表面及手术视频进行比较。为测试其可行性，评估了手术时间、失血量、胸管放置时间、住院时间以及病理结果。
虚拟肺段切除术的术前模拟和术中引导对确定最合适的解剖性肺段切除术和根治性切除具有重要意义。
