ArticleJTCVS open2023
Asia expert consensus on segmentectomy in non-small cell lung cancer: A modified Delphi study.
Article in JTCVS open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed.
- Perioperative safety and risk stratification of simultaneous resection for multiple pulmonary nodules via video-assisted thoracoscopic surgery: a retrospective cohort study.Translational lung cancer research · 2026Article
- The expert consensus document on minimally invasive upper lobectomy for lung cancer in China.Journal of thoracic disease · 2026Review
- Single-port robotic segmentectomy using the da Vinci SP system for non-small cell lung cancer.Frontiers in surgery · 2026Article
- Patients-specific virtual surgical navigation for lung segmentectomy: a prospective multicenter study.Frontiers in oncology · 2026Article
- Analysis of lymph node metastasis based on consolidation tumor ratio and maximum standardized uptake value in clinical stage IA non-small cell lung cancer.Journal of thoracic disease · 2025Article
- Segmentectomy for non-peripheral and peripheral small-sized non-small-cell lung cancer.Interdisciplinary cardiovascular and thoracic surgery · 2025Article
- Left S3 + S8 Segmentectomy with Rare Interlobar A3 Vascular Anomaly: A Case Report.Surgical case reports · 2025Article
- Safety and efficacy of anatomical tunneling technique for precise lung segment resection in complex anatomical settings.BMC surgery · 2024Article
- Contribution of fluorescence imaging to thoracoscopic anatomical segmentectomy: a multicenter propensity matching analysis.Journal of thoracic disease · 2024Article
- Article
- The safety and efficacy of the fissure-first approach in lung segmentectomy for patients with incomplete fissures.Frontiers in oncology · 2024Article
- Unveiling the synergetic benefits of the tunneling technique using stapler tractor in precise resection of lung segments: a retrospective cohort study.Frontiers in oncology · 2024Article
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Authors and funding
15 authors.
Funding
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Abstract
Objective: Segmentectomy as a parenchymal-sparing surgical approach has been recommended over lobectomy in select patients with early-stage non-small cell lung cancer. This study aimed to address 3 aspects of segmentectomy ("patient indication"; "segmentectomy approaches"; "lymph node assessment") where there is limited clinical guidance. Methods: A modified Delphi approach comprising 3 anonymous surveys and 2 expert discussions was used to establish consensus on the aforementioned topics among 15 thoracic surgeons (2 Steering Committee; 2 Task Force; 11 Voting Experts) from Asia who have extensive segmentectomy experience. Statements were developed by the Steering Committee and Task Force based on their clinical experience, published literature (rounds 1-3), and comments received from Voting Experts through surveys (rounds 2-3). Voting Experts indicated their agreement with each statement on a 5-point Likert scale. Consensus was defined as ≥70% of Voting Experts selecting either "Agree"/"Strongly Agree" or "Disagree"/"Strongly Disagree." Results: Consensus from the 11 Voting Experts was reached on 36 statements (11 "patient indication" statements; 19 "segmentation approaches" statements; 6 "lymph node assessment" statements). In rounds 1, 2, and 3, consensus was reached on 48%, 81%, and 100% of drafted statements, respectively. Conclusions: A recent phase 3 trial reported significantly improved 5-year overall survival rates for segmentectomy compared with lobectomy, proposing thoracic surgeons to consider segmentectomy as a surgical option in suitable patients. This consensus serves as a guidance to thoracic surgeons considering segmentectomy in patients with early non-small cell lung cancer, outlining key principles that surgeons should consider in surgical decision-making.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.