Literature DB >> 31019788

Concepts and techniques: how to determine and identify the appropriate target segment in anatomical pulmonary segmentectomy?

Masaaki Sato1, Tomonori Murayama1, Jun Nakajima1.   

Abstract

Anatomical segmentectomy is gathering increasing interest among thoracic surgeons because of increased detection of pulmonary nodules with ground-glass opacity (GGO) as well as an increase in the number of compromised patients. Accurate determination of intersegmental planes is a challenge in anatomical segmentectomy, and multiple methods have been proposed including developing inflation/deflation lines and injecting indocyanine green either intravenously or intrabronchially. Considering resection margins, adding a localization technique to conventional methods, or conducting virtual-assisted lung mapping (bronchoscopic multi-spot dye marking) may be an optional approach for optimal anatomical segmentectomy to identify intersegmental planes and obtain adequate resection margins. To determine optimal resection lines in anatomical segmentectomy, surgeons must also consider oncological validity such as venous and lymph drainage, resection margins, and lung anatomy to avoid complications such as venous congestion, infarction, and air leakage. Although anatomical segmentectomy is an attractive approach to resect small early-stage lung cancer and some metastatic lung tumors, caution is needed to optimally perform this technically demanding surgery.

Entities:  

Keywords:  Segmentectomy; cancer; indocyanine green; lung

Year:  2019        PMID: 31019788      PMCID: PMC6462684          DOI: 10.21037/jtd.2019.02.83

Source DB:  PubMed          Journal:  J Thorac Dis        ISSN: 2072-1439            Impact factor:   2.895


  9 in total

Review 1.  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

2.  Combination of nitrous oxide and the modified inflation-deflation method for identifying the intersegmental plane in segmentectomy: A randomized controlled trial.

Authors:  Wenjing Yang; Zicheng Liu; Chun Yang; Shijiang Liu; Minna Guo; Wei Wen; Jun Wang; Cunming Liu; Quan Zhu
Journal:  Thorac Cancer       Date:  2021-04-04       Impact factor: 3.500

3.  Analysis of anatomical variations of the lingular artery of the left upper lobe using 3D computed tomography angiography and bronchography.

Authors:  Hao He; Peng Chen; Xiaofeng Chen; Pei Yuan Wang; Shuo Yan Liu; Feng Wang
Journal:  J Thorac Dis       Date:  2021-08       Impact factor: 2.895

4.  Electromagnetic navigational bronchoscopy-guided dye marking to identify the subsegmental bronchus in thoracoscopic anatomic subsegmentectomy.

Authors:  Rongjian Xu; Min Zhao; Yandong Zhao; Yunpeng Xuan; Yi Qin; Wenjie Jiao
Journal:  Thorac Cancer       Date:  2021-08-18       Impact factor: 3.500

5.  Individualized dorsal basal segment (S10) resection using intersegmental veins as the landmark.

Authors:  Zhicheng He; Xianglong Pan; Zhihua Li; Qi Wang; Jun Wang; Wei Wen; Quan Zhu; Weibing Wu; Liang Chen
Journal:  Interact Cardiovasc Thorac Surg       Date:  2022-06-01

6.  The powered vascular staple (PVS) versus conventional powered linier cutter (PLC) for the application of bronchial transection in thoracoscopic anatomic segmentectomy.

Authors:  Ying Ji; Bin Qiu; Shugeng Gao
Journal:  J Thorac Dis       Date:  2019-11       Impact factor: 2.895

7.  Predictors of failure of intersegmental line creation using bronchoscopic jet ventilation for thoracoscopic pulmonary segmentectomy.

Authors:  Mizuko Ikeda; Miwako Tanabe; Ayumi Fujimoto; Tomoka Matsuoka; Makoto Sumie; Ken Yamaura
Journal:  JA Clin Rep       Date:  2021-07-06

8.  Simple method for distinguishing the intersegmental plane in thoracoscopic lung segmentectomy.

Authors:  Peng Jiao; Yaoguang Sun; Wenxin Tian; Qingjun Wu; Hongfeng Tong
Journal:  Thorac Cancer       Date:  2020-04-06       Impact factor: 3.500

9.  Prevalence and risk factors for lung involvement on low-dose chest CT (LDCT) in a paucisymptomatic population of 247 patients affected by COVID-19.

Authors:  Maxime Castelli; Paul Habert; Arnaud Maurin; Axel Bartoli; Michael Dassa; Baptiste Marchi; Julie Finance; Jean-Christophe Lagier; Matthieu Million; Philippe Parola; Philippe Brouqui; Didier Raoult; Sebastien Cortaredona; Alexis Jacquier; Jean-Yves Gaubert
Journal:  Insights Imaging       Date:  2020-11-17
  9 in total

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