Optimal planning and management strategies for minimally invasive lung segmentectomies: an international delphi consensus report.

3-D reconstruction Consensus Delphi Methodology Lobectomy Lung Cancer Segmentectomy

Journal

European journal of cardio-thoracic surgery : official journal of the European Association for Cardio-thoracic Surgery
ISSN: 1873-734X
Titre abrégé: Eur J Cardiothorac Surg
Pays: Germany
ID NLM: 8804069

Informations de publication

Date de publication:
26 Sep 2024
Historique:
received: 09 05 2024
revised: 25 07 2024
accepted: 24 09 2024
medline: 26 9 2024
pubmed: 26 9 2024
entrez: 26 9 2024
Statut: aheadofprint

Résumé

CALGB140503/JCOG0802 RCTs comparing lobectomy with sublobar resection in stage IA NSCLC have confirmed the non-inferiority of segmentectomy. Additional insight is needed to improve preoperative work-up and intraoperative strategies to increase safety and promote the dissemination of minimally invasive segmentectomy (MIS). A Delphi panel study assessed the level of consensus among surgeons for the planning and management of MIS. Twenty-one expert lung surgeons represented academic institutions, major teaching hospitals, and community hospitals from Europe, North America, and Asia. A three-round Delphi methodology was employed to analyse the answers of each panellist. Recognising that questions with fewer response options have a higher consensus probability due to limited variability, weighted consensus thresholds were modified based on the number of response options. The 21 panellists responded to all three rounds of questions. Based on the most robust consensus (94.4%), 3-D chest CT reconstructions are recommended only when planning complex segmentectomies. Surgeons should perform 3-D reconstructions chest CT scans (consensus = 83.3%). The most effective and safest technique is image-guided VATS in a hybrid operating room (consensus = 83.3%). Dyes with intravenous administration are the safest technique for identifying the intersegmental plane during MIS (consensus = 72.2%). Augmented/mixed reality will probably not immediately help reduce perioperative complications (consensus = 72.2%). This Delphi Consensus supports 3-D reconstructions and preoperative pulmonary nodule localisation before complex MIS. These recommendations should be considered when allocating resources to improve MIS's safety and oncologic efficacy for patients with small, early-stage lung cancers.

Identifiants

pubmed: 39325851
pii: 7777165
doi: 10.1093/ejcts/ezae351
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© The Author(s) 2024. Published by Oxford University Press on behalf of the European Association for Cardio-Thoracic Surgery. All rights reserved.

Auteurs

Luca Bertolaccini (L)

Department of Thoracic Surgery, IEO, European Institute of Oncology IRCCS, Milan, Italy.

Firas Abu Akar (F)

Department of Thoracic Surgery, The Edith Wolfson Medical Center, Holon, Center District, Holon, Israel Affiliated to the Sackler Faculty of Medicine, Tel Aviv University, Tel Aviv, Israel.
Honorary research affiliate, Department of General Surgery, Faculty of Medicine, Al-Quds University, East Jerusalem, Palestine.

Clemens Aigner (C)

Department of Thoracic Surgery, Medical University of Vienna, Wien, Austria.

Alessandro Brunelli (A)

Department of Thoracic Surgery, St James's University Hospital, Leeds, UK.

Georges Decker (G)

Department of Thoracic Surgery, Hôpitaux Robert Schuman-Zithaklinik, Luxembourg, Luxembourg.

Wentao Fang (W)

Department of Thoracic Surgery, Shanghai Chest Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.

József Furák (J)

Department of Surgery, University of Szeged, Szeged, Hungary.

Mahmoud Ismail (M)

Department of Thoracic Surgery, Klinikum Ernst von Bergmann, Potsdam, Germany.

Marcelo Jiménez (M)

Department of Thoracic Surgery, Salamanca University Hospital, Salamanca, Spain.

Andreas Kirschbaum (A)

Department of Visceral, Thoracic and Vascular Surgery, University of Marburg, Marburg, Germany.

Marko Kostic (M)

Clinic for Thoracic Surgery, University Clinical Centre of Serbia, University of Belgrade, Belgrade, Serbia.

Marco Lucchi (M)

Division of Thoracic Surgery, Department of Surgical, Medical and Molecular Pathology and Critical Care Medicine, University of Pisa, Pisa, Italy.

Shehab Mohamed (S)

Department of Cardiothoracic Surgery, University of Pittsburgh Medical Centre, Pittsburgh, (PA), USA.

Sudish C Murthy (SC)

Division of General Thoracic Surgery, Cleveland Clinic, Cleveland, (OH), USA.

Calvin S H Ng (CSH)

The Chinese University of Hong Kong, Prince of Wales Hospital, Shatin, New Territories, Hong Kong, China.

Heribert Ortlieb (H)

Department of Thoracic Surgery, Klinikum Mittelbaden, Baden-Baden, Germany.

Nuria Novoa (N)

Department of Thoracic Surgery, Hospital Universitario Puerta De Hierro Majadahonda, Madrid, Spain.

Elena Prisciandaro (E)

Division of Thoracic Surgery, Hôpital Erasme, -Université Libre de Bruxelles, Brussels, Belgium.

Lorenzo Spaggiari (L)

Department of Thoracic Surgery, IEO, European Institute of Oncology IRCCS, Milan, Italy.
Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy.

Paula A Ugalde Figueroa (PAU)

Division of Thoracic Surgery, Brigham and Women's Hospital, Boston, (MA), USA.

Francesco Zaraca (F)

Department of Vascular and Thoracic Surgery, Regional Hospital, Bolzano, Italy.

Classifications MeSH