Literature DB >> 32010583

Discovery of lung surface intersegmental landmarks by three-dimensional reconstruction and morphological measurement.

Yuyang Xu1,2,3, Fanyi Gan1,3, Chunchao Xia4, Zihuai Wang1, Kejia Zhao1, Chuan Li1, Jiandong Mei1,3, Chengwu Liu1,3, Hu Liao1,3, Qiang Pu1,3, Lunxu Liu1,2,3.   

Abstract

BACKGROUND: The lack of anatomic landmarks between segments on the lung surface makes the identification of intersegmental planes one of the greatest challenges in anatomic segmentectomy. Therefore, with the aim to determine the landmarks of intersegmental planes on the lung surface, we used three-dimensional (3D) reconstruction and morphological measurement techniques to reconstruct stereoscopic models of all pulmonary segments, and measured the length of each segment on the lung surface along the lobe's anatomic landmark lines.
METHODS: We downloaded the primary computed tomography (CT) scan data of 619 patients and imported them into a 3D reconstruction system, which could automatically reconstruct the 3D model of the trachea-bronchi system. We manually reconstructed the intersegmental veins to ensure the accuracy of segmental boundary. The 3D models of pulmonary segments could be reconstructed based on the bronchial tree and the pathways of the intersegmental veins. We then measured the length of each segment on the lung surface along the lobe's anatomic landmark lines and calculated the proportions between these lengths.
RESULTS: Complete 3D segmental models were successfully reconstructed in 500 patients (241 male and 259 female), and the lengths of every segment on the lung surface along the lobe's anatomic landmark lines were measured. Our data revealed that the length of each segment on lung surface varied among individuals. However, the proportions between these lengths stayed constant, even when stratified by gender, age, height, and weight.
CONCLUSIONS: We discovered that the proportion between the lengths of adjacent segments on the lung surface stayed constant. The constant proportion reflected and uncovered the lung surface intersegmental landmarks, which could help direct surgeons to identify intersegmental planes during anatomic segmentectomy in an easy and safe way without additional cost. 2019 Translational Lung Cancer Research. All rights reserved.

Entities:  

Keywords:  3D reconstruction; Segmentectomy; intersegmental landmarks; intersegmental plane identification; morphological measurement

Year:  2019        PMID: 32010583      PMCID: PMC6976347          DOI: 10.21037/tlcr.2019.12.21

Source DB:  PubMed          Journal:  Transl Lung Cancer Res        ISSN: 2218-6751


  11 in total

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2.  Preoperative assessment of the pulmonary artery by three-dimensional computed tomography before video-assisted thoracic surgery lobectomy.

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3.  New technique for lung segmentectomy using indocyanine green injection.

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Review 4.  Could less be more?-A systematic review and meta-analysis of sublobar resections versus lobectomy for non-small cell lung cancer according to patient selection.

Authors:  Christopher Cao; David Chandrakumar; Sunil Gupta; Tristan D Yan; David H Tian
Journal:  Lung Cancer       Date:  2015-05-19       Impact factor: 5.705

5.  Planning of segmentectomy using three-dimensional computed tomography angiography with a virtual safety margin: technique and initial experience.

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Journal:  Lung Cancer       Date:  2013-07-06       Impact factor: 5.705

6.  New clinically applicable method for visualizing adjacent lung segments using an infrared thoracoscopy system.

Authors:  Noriyuki Misaki; Sung Soo Chang; Hitoshi Igai; Shintarou Tarumi; Masashi Gotoh; Hiroyasu Yokomise
Journal:  J Thorac Cardiovasc Surg       Date:  2010-10       Impact factor: 5.209

7.  A novel video-assisted anatomic segmentectomy technique: selective segmental inflation via bronchofiberoptic jet followed by cautery cutting.

Authors:  Morihito Okada; Takeshi Mimura; Junichi Ikegaki; Hiromi Katoh; Harumi Itoh; Noriaki Tsubota
Journal:  J Thorac Cardiovasc Surg       Date:  2007-03       Impact factor: 5.209

8.  Radical sublobar resection for small-sized non-small cell lung cancer: a multicenter study.

Authors:  Morihito Okada; Teruaki Koike; Masahiko Higashiyama; Yasushi Yamato; Ken Kodama; Noriaki Tsubota
Journal:  J Thorac Cardiovasc Surg       Date:  2006-10       Impact factor: 5.209

9.  Choice of Surgical Procedure for Patients With Non-Small-Cell Lung Cancer ≤ 1 cm or > 1 to 2 cm Among Lobectomy, Segmentectomy, and Wedge Resection: A Population-Based Study.

Authors:  Chenyang Dai; Jianfei Shen; Yijiu Ren; Shengyi Zhong; Hui Zheng; Jiaxi He; Dong Xie; Ke Fei; Wenhua Liang; Gening Jiang; Ping Yang; Rene Horsleben Petersen; Calvin S H Ng; Chia-Chuan Liu; Gaetano Rocco; Alessandro Brunelli; Yaxing Shen; Chang Chen; Jianxing He
Journal:  J Clin Oncol       Date:  2016-07-05       Impact factor: 44.544

10.  Oncologic Outcomes of Segmentectomy Versus Lobectomy for Clinical T1a N0 M0 Non-Small Cell Lung Cancer.

Authors:  Ken Kodama; Masahiko Higashiyama; Jiro Okami; Toshiteru Tokunaga; Fumio Imamura; Tomio Nakayama; Atsuo Inoue; Keiko Kuriyama
Journal:  Ann Thorac Surg       Date:  2015-11-03       Impact factor: 4.330

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  1 in total

1.  A 2D-3D hybrid convolutional neural network for lung lobe auto-segmentation on standard slice thickness computed tomography of patients receiving radiotherapy.

Authors:  Hengle Gu; Wutian Gan; Chenchen Zhang; Aihui Feng; Hao Wang; Ying Huang; Hua Chen; Yan Shao; Yanhua Duan; Zhiyong Xu
Journal:  Biomed Eng Online       Date:  2021-09-23       Impact factor: 2.819

  1 in total

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