Literature DB >> 30037641

Combined virtual-assisted lung mapping (VAL-MAP) with CT-guided localization in thoracoscopic pulmonary segmentectomy.

Shun-Mao Yang1, Ching-Kai Lin2, Li-Wei Chen3, Yi-Chang Chen4, Hsin-Chieh Huang5, Huan-Jang Ko6, Chung-Ming Chen3, Masaaki Sato7.   

Abstract

BACKGROUND/
OBJECTIVE: Virtual assisted lung mapping (VAL-MAP) is a bronchoscopic lung marking technique developed to assist in navigational lung resection. It can be used for nodule localization and segmental identification. This article presents our initial experience of thoracoscopic pulmonary segmentectomy using combined VAL-MAP and computed tomography (CT)-guided localization.
MATERIAL AND METHODS: Markings with India Ink were made bronchoscopically, before surgery, using a virtual bronchoscopy system (LungPoint® Planner) without fluoroscopy guidance. Post VAL-MAP CT scans localized the actual markings. All data on patients, markings, and outcomes were retrospectively collected, and the contribution of VAL-MAP to the operation was graded by the surgeon.
RESULTS: From March 2017 to September 2017, 24 consecutive patients received the VAL-MAP marking procedure before thoracoscopic segmentectomy. Nineteen patients also received pre-operative CT-guided percutaneous localization after VAL-MAP; fifteen patients received CT-guided localization with dye (patent blue V) and microcoil, and four patients received with dye only. Of the 101 marking attempts made in all the patients, 71 (70.3%) were identified as contributing to the surgery. No clinically evident complications were associated with the procedure. A total of 24 segmentectomies were thoracoscopically conducted for 18 cases of lung cancer and six cases of benign diseases.
CONCLUSION: The combination of VAL-MAP and CT-guided percutaneous localization contribute to precise thoracoscopic pulmonary segmentectomy.
Copyright © 2018. Published by Elsevier Taiwan LLC.

Entities:  

Keywords:  CT-Guided localization; Lung cancer; Segmentectomy; VAL-MAP

Mesh:

Year:  2018        PMID: 30037641     DOI: 10.1016/j.asjsur.2018.06.005

Source DB:  PubMed          Journal:  Asian J Surg        ISSN: 1015-9584            Impact factor:   2.767


  6 in total

Review 1.  Comparison of various lung intersegmental plane identification methods.

Authors:  Ken Onodera; Jun Suzuki; Tomohiro Miyoshi; Kenta Tane; Joji Samejima; Keiju Aokage; Masahiro Tsuboi
Journal:  Gen Thorac Cardiovasc Surg       Date:  2022-10-17

2.  Fluorescence navigation with indocyanine green for identification of intersegmental planes using a photodynamic eye camera.

Authors:  Kazuhito Funai; Akikazu Kawase; Kei Shimizu; Keigo Sekihara; Takashi Yamashita; Norihiko Shiiya
Journal:  J Thorac Dis       Date:  2020-09       Impact factor: 2.895

3.  Single-stage hybrid localization: a combination of bronchoscopic lung mapping followed by post-mapping computed tomographic reconstruction and additional transthoracic needle localization in a cone beam computed tomography room.

Authors:  Shun-Mao Yang; Wei-Chun Ko; Ling-Hsuan Meng; Li-Wei Chen; Kun-Hsien Lin; Yueh-Lun Liu; Shao-En Sun; Huan-Jang Ko
Journal:  Ann Transl Med       Date:  2019-01

4.  Computed tomography-guided dye localization for deeply situated pulmonary nodules in thoracoscopic surgery.

Authors:  Tung-Ming Tsai; Xu-Heng Chiang; Hsien-Chi Liao; Kuan-Chuan Tsou; Mong-Wei Lin; Ke-Cheng Chen; Hsao-Hsun Hsu; Jin-Shing Chen
Journal:  Ann Transl Med       Date:  2019-01

Review 5.  Prognosis of segmentectomy in the treatment of stage IA non-small cell lung cancer.

Authors:  Wenliang Bai; Shanqing Li
Journal:  Oncol Lett       Date:  2020-11-25       Impact factor: 2.967

6.  Extended, virtual and augmented reality in thoracic surgery: a systematic review.

Authors:  Arian Arjomandi Rad; Robert Vardanyan; Santhosh G Thavarajasingam; Alina Zubarevich; Jef Van den Eynde; Michel Pompeu B O Sá; Konstantin Zhigalov; Peyman Sardiari Nia; Arjang Ruhparwar; Alexander Weymann
Journal:  Interact Cardiovasc Thorac Surg       Date:  2022-01-18
  6 in total

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