Resection Process Map: A novel dynamic simulation system for pulmonary resection

• 中尾, 恵

  Department of Thoracic Surgery, Graduate School of Medicine, Kyoto University

• 松田, 哲也

  Department of Thoracic Surgery, Graduate School of Medicine, Kyoto University

• 伊達, 洋至

  Graduate School of Informatics, Kyoto University

• Matsuda, Tetsuya

  Graduate School of Informatics, Kyoto University

• Date, Hiroshi

  Department of Thoracic Surgery, Graduate School of Medicine, Kyoto University

抄録

Objective: Use of 3-dimensional computed tomography for preoperative and intraoperative simulation has been introduced in the field of thoracic surgery. However, 3-dimensional computed tomography provides only static simulation, which is a significant limitation of surgical simulation. Dynamic simulation, reflecting the intraoperative deformation of the lung, has not been developed. The aim of this study was to develop a novel simulation system that generates dynamic images based on patient-specific computed tomography data. Methods: We developed an original software, the Resection Process Map, for anatomic pulmonary resection. The Resection Process Map semi-automatically generates virtual dynamic images based on patient-specific computed tomography data. We retrospectively evaluated its accuracy in 18 representative cases by comparing the virtual dynamic images with the actual surgical images. Results: In this study, 9 patients who underwent lobectomy and 9 patients who underwent segmentectomy were included. For each case, a virtual dynamic image was successfully generated semi-automatically by the Resection Process Map. The Resection Process Map accurately delineated 98.6% of vessel branches and all the bronchi. The median time required to obtain the images was 121.3 seconds. Conclusions: We successfully developed a novel dynamic simulation system, the Resection Process Map, for anatomic pulmonary resection.

Read at the 99th Annual Meeting of The American Association for Thoracic Surgery, Toronto, Ontario, Canada, May 4-7, 2019.

収録刊行物

• Journal of Thoracic and Cardiovascular Surgery

  Journal of Thoracic and Cardiovascular Surgery 159 (3), 1130-1138, 2019-03

  Elsevier BV

キーワード

• surgery simulation
• 3D reconstruction

詳細情報

• CRID: 1050852271199442688
• NII論文ID: 120006810863
• ISSN: 00225223
• ISSN: 1097685X
• HANDLE: 2433/245930
• 本文言語コード: en
• 資料種別: conference paper
• データソース種別:
  • IRDB
  • CiNii Articles