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

医学 德尔菲法 德尔菲 协商一致会议 围手术期 放射治疗计划 阶段(地层学) 医学物理学 外科 普通外科 计算机科学 人工智能 内科学 操作系统 古生物学 放射治疗 生物
作者
Luca Bertolaccini,Firas Abu Akar,Clemens Aigner,Alessandro Brunelli,Georges Decker,Wentao Fang,József Furák,Mahmoud Ismail,Marcelo F. Jiménez,Andreas Kirschbaum,Marko Kostic,Marco Lucchi,Shehab Mohamed,Sudish C. Murthy,Calvin S.H. Ng,Heribert Ortlieb,Nuria M. Novoa,Elena Prisciandaro,Lorenzo Spaggiari,Paula A. Ugalde,Francesco Zaraca
出处
期刊:European Journal of Cardio-Thoracic Surgery [Oxford University Press]
标识
DOI:10.1093/ejcts/ezae351
摘要

Abstract OBJECTIVES 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. METHODS 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. RESULTS 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%). CONCLUSIONS 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.
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