Literature DB >> 27099268

Thoracoscopic anatomic pulmonary segmentectomy: a 3-dimensional guided imaging system for lung operations.

Qingjie Yang1, Baiyi Xie1, Meng Hu1, Xiaoyan Sun1, Xiaoyang Huang2, Ming Guo3.   

Abstract

OBJECTIVES: To evaluate the Lung Operation Three-dimensional Imaging System software by Xiamen TRONG Technology Co. Ltd in detecting the precise position of solitary pulmonary nodules or ground-glass opacity nodules before surgery.
METHODS: Chest, arterial phase, portal venous phase, enhanced and delayed-phase images of 10 cases with 12 nodules were obtained with a Toshiba Aquilion One 320 computed tomography (CT) scanner. According to the image data of the nodules, 0.5 mm thick images of 320-row multislice CT scanners were reconstructed as 3D images, and the boundary of each segment was automatically partitioned and pigmented in accordance with the pulmonary artery system. To locate the nodules, the 3D images and coloured segments were merged. The clearly labelled lung structure was utilized in a preoperative virtual segmentectomy and the subsequently planned thoracoscopic surgery.
RESULTS: In all 10 cases, the reconstruction of the pulmonary artery could image branches as far as Grade 5. The anatomically adjacent relationship of the nodules among the arteries, veins and bronchi in the target pulmonary segments could be displayed in any view. The thoracoscopic anatomic pulmonary segmentectomy was performed successfully. All 12 nodules, which had deeply settled in the parenchyma, were resected using the virtual planning software and diagnosed pathologically.
CONCLUSIONS: The software can be used preoperatively as a tracing method to identify the location of nodules in most general thoracic surgeries, subsequently providing guidance during the surgery.
© The Author 2016. Published by Oxford University Press on behalf of the European Association for Cardio-Thoracic Surgery. All rights reserved.

Entities:  

Keywords:  Ground-glass opacity; Segmentectomy; Solitary pulmonary nodule; Three-dimensional reconstruction imaging; Video-assisted thoracic surgery

Mesh:

Year:  2016        PMID: 27099268     DOI: 10.1093/icvts/ivw085

Source DB:  PubMed          Journal:  Interact Cardiovasc Thorac Surg        ISSN: 1569-9285


  12 in total

Review 1.  Anatomical variations and pitfalls to know during thoracoscopic segmentectomies.

Authors:  Dominique Gossot; Agathe Seguin-Givelet
Journal:  J Thorac Dis       Date:  2018-04       Impact factor: 2.895

2.  IQQA-3D imaging interpretation and analysis system-guided single-port video-assisted thoracic surgery for anatomical sub-segmentectomy (LS1+2a+b).

Authors:  Guobing Xu; Chun Chen; Wei Zheng; Yong Zhu; Bin Zheng; Hao Chen
Journal:  J Thorac Dis       Date:  2018-09       Impact factor: 2.895

3.  Additive value of split-bolus single-phase CT scan protocol for preoperative assessment of lung cancer patients referred for video-assisted thoracic surgery.

Authors:  Ryo Watanabe; Yoshinori Funama; Takeshi Takaki; Seitaro Oda; Takeshi Nakaura; Seiichi Murakami; Takatoshi Aoki
Journal:  Radiol Phys Technol       Date:  2019-10-25

4.  Development of a precision multimodal surgical navigation system for lung robotic segmentectomy.

Authors:  Jean Marc Baste; Valentin Soldea; Samy Lachkar; Philippe Rinieri; Mathieu Sarsam; Benjamin Bottet; Christophe Peillon
Journal:  J Thorac Dis       Date:  2018-04       Impact factor: 2.895

5.  Planning and marking for thoracoscopic anatomical segmentectomies.

Authors:  Agathe Seguin-Givelet; Madalina Grigoroiu; Emmanuel Brian; Dominique Gossot
Journal:  J Thorac Dis       Date:  2018-04       Impact factor: 2.895

6.  Application of the IQQA-3D imaging interpretation and analysis system in uniportal video-assisted thoracoscopic anatomical segmentectomy: a series study.

Authors:  Guobing Xu; Chun Chen; Wei Zheng; Yong Zhu; Hao Chen; Bingqiang Cai
Journal:  J Thorac Dis       Date:  2019-05       Impact factor: 2.895

7.  Impact of near-infrared angiography on the quality of anatomical resection during video-assisted thoracic surgery segmentectomy.

Authors:  Benoît Bédat; Frédéric Triponez; Samira Mercedes Sadowski; Christophe Ellenberger; Marc Licker; Wolfram Karenovics
Journal:  J Thorac Dis       Date:  2018-04       Impact factor: 2.895

8.  Automated identification of pulmonary arteries and veins depicted in non-contrast chest CT scans.

Authors:  Jiantao Pu; Joseph K Leader; Jacob Sechrist; Cameron A Beeche; Jatin P Singh; Iclal K Ocak; Michael G Risbano
Journal:  Med Image Anal       Date:  2022-01-12       Impact factor: 8.545

9.  Three-dimensional computed tomography reconstruction for operative planning in robotic segmentectomy: a pilot study.

Authors:  Julien Le Moal; Christophe Peillon; Jean-Nicolas Dacher; Jean-Marc Baste
Journal:  J Thorac Dis       Date:  2018-01       Impact factor: 2.895

10.  Virtual reality and artificial intelligence for 3-dimensional planning of lung segmentectomies.

Authors:  Amir H Sadeghi; Alexander P W M Maat; Yannick J H J Taverne; Robin Cornelissen; Anne-Marie C Dingemans; Ad J J C Bogers; Edris A F Mahtab
Journal:  JTCVS Tech       Date:  2021-03-16
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