A simplified model for determining the cutting plane during thoracoscopic anatomical partial lobectomy of the right lower lobe.

Segmentectomy computed tomography (CT) cutting plane (CP) intersegmental plane (ISP) three-dimensional reconstruction (3D reconstruction)

Journal

Translational lung cancer research
ISSN: 2218-6751
Titre abrégé: Transl Lung Cancer Res
Pays: China
ID NLM: 101646875

Informations de publication

Date de publication:
Jul 2021
Historique:
received: 15 04 2021
accepted: 16 07 2021
entrez: 25 8 2021
pubmed: 26 8 2021
medline: 26 8 2021
Statut: ppublish

Résumé

Few studies have examined the use of two-dimensional computed tomography (2D CT) and three-dimensional (3D) reconstruction images to determine the intersegmental plane (ISP) for pulmonary segmentectomy, but a systematic approach and nomenclature are currently lacking. This current study used 3D reconstruction of CT imaging to analyze variations in the right lower lobe's pulmonary ISP and created a simplified model to determine the optimum cutting plane (CP) for clinical application for operative planning and use during thoracoscopic anatomical partial lobectomy (APL). Between January 2018 and October 2019, 325 patients with pulmonary lesions were identified who underwent thin-slice CT scans of the chest. The ISPs were identified by analyzing the 2D CT scans and 3D reconstruction images and the anatomical characteristics segmental boundary. The CP for the thoracoscopic procedure was then determined within the safe surgical margins, and a simplified CP model was created. The boundary between adjacent lung segment A and segment B was be expressed as "ISP: Sa-Sb". The ISP was divided into venous ISP (VISP), arterial ISP (AISP), and bronchial ISP (BISP). The proposed model of the CP can be expressed as follows: CP (f) = (V/A/B) ISP (x) + (V/A/B) sub ISP (y) + (V/A/B) sub-sub ISP (z). This report is a first attempt to provide a nomenclature for identifying the ISP, and create a simplified model for determining the CP for thoracoscopic partial lobectomy.

Sections du résumé

BACKGROUND BACKGROUND
Few studies have examined the use of two-dimensional computed tomography (2D CT) and three-dimensional (3D) reconstruction images to determine the intersegmental plane (ISP) for pulmonary segmentectomy, but a systematic approach and nomenclature are currently lacking. This current study used 3D reconstruction of CT imaging to analyze variations in the right lower lobe's pulmonary ISP and created a simplified model to determine the optimum cutting plane (CP) for clinical application for operative planning and use during thoracoscopic anatomical partial lobectomy (APL).
METHODS METHODS
Between January 2018 and October 2019, 325 patients with pulmonary lesions were identified who underwent thin-slice CT scans of the chest. The ISPs were identified by analyzing the 2D CT scans and 3D reconstruction images and the anatomical characteristics segmental boundary. The CP for the thoracoscopic procedure was then determined within the safe surgical margins, and a simplified CP model was created.
RESULTS RESULTS
The boundary between adjacent lung segment A and segment B was be expressed as "ISP: Sa-Sb". The ISP was divided into venous ISP (VISP), arterial ISP (AISP), and bronchial ISP (BISP). The proposed model of the CP can be expressed as follows: CP (f) = (V/A/B) ISP (x) + (V/A/B) sub ISP (y) + (V/A/B) sub-sub ISP (z).
CONCLUSIONS CONCLUSIONS
This report is a first attempt to provide a nomenclature for identifying the ISP, and create a simplified model for determining the CP for thoracoscopic partial lobectomy.

Identifiants

pubmed: 34430358
doi: 10.21037/tlcr-21-525
pii: tlcr-10-07-3203
pmc: PMC8350089
doi:

Types de publication

Journal Article

Langues

eng

Pagination

3203-3212

Informations de copyright

2021 Translational Lung Cancer Research. All rights reserved.

Déclaration de conflit d'intérêts

Conflict of Interest: All authors have completed the ICMJE uniform disclosure form (available at https://dx.doi.org/10.21037/tlcr-21-525). Dr. DG reported fees received from Delacroix-Chevalier (2000 Euros in 2020), Medtronic (500 euros in 2020), Ethcon (500 Euro in 2021s). The other authors have no conflicts of interest to declare.

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Auteurs

Yun Liu (Y)

Department of Cardiothoracic Surgery, The First College of Clinical Medical Science, China Three Gorges University, Yichang, China.
Department of Cardiothoracic Surgery, Yichang Central People's Hospital, Yichang, China.

Bin Qiu (B)

Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.

Songlin Zhang (S)

Department of Cardiothoracic Surgery, The First College of Clinical Medical Science, China Three Gorges University, Yichang, China.
Department of Cardiothoracic Surgery, Yichang Central People's Hospital, Yichang, China.

Chaobing Liu (C)

Department of Cardiothoracic Surgery, The First College of Clinical Medical Science, China Three Gorges University, Yichang, China.
Department of Cardiothoracic Surgery, Yichang Central People's Hospital, Yichang, China.

Ming Yan (M)

Department of Cardiothoracic Surgery, The First College of Clinical Medical Science, China Three Gorges University, Yichang, China.
Department of Cardiothoracic Surgery, Yichang Central People's Hospital, Yichang, China.

Lailong Sun (L)

Department of Cardiothoracic Surgery, The First College of Clinical Medical Science, China Three Gorges University, Yichang, China.
Department of Cardiothoracic Surgery, Yichang Central People's Hospital, Yichang, China.

Dominique Gossot (D)

Thoracic Department, Curie-Montsouris Thorax Institute-Institut Mutualiste Montsouris, Paris, France.

Takahiro Homma (T)

Department of General Thoracic and Cardiovascular Surgery, Graduate School of Medicine and Pharmaceutical Sciences, University of Toyama, Toyama, Japan.

Fariha Sheikh (F)

Department of Surgery, Division of Trauma and Critical Care, Rutgers, New Jersey Medical School, Newark, New Jersey, USA.

Peter J Kneuertz (PJ)

Division of Thoracic Surgery, The Ohio State University Wexner Medical Center, Columbus, OH, USA.

Classifications MeSH