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Uniportal video-assisted anatomical segmentectomy: an analysis of the learning curve

BACKGROUND: This study aimed to demonstrate the learning curve of anatomical segmentectomy performed by uniportal video-assisted thoracoscopic surgery (U-VATS). METHOD: We conducted a retrospective study of U-VATS segmentectomies performed by the same surgeon between September 2019 and August 2022....

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Detalles Bibliográficos
Autores principales: Han, Yu, Zhang, Zhenrong, Feng, Hongxiang, Wen, Huanshun, Su, Kunsong, Xiao, Fei, Liang, Chaoyang, Liu, Deruo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10386600/
https://www.ncbi.nlm.nih.gov/pubmed/37516847
http://dx.doi.org/10.1186/s12957-023-03086-7
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author Han, Yu
Zhang, Zhenrong
Feng, Hongxiang
Wen, Huanshun
Su, Kunsong
Xiao, Fei
Liang, Chaoyang
Liu, Deruo
author_facet Han, Yu
Zhang, Zhenrong
Feng, Hongxiang
Wen, Huanshun
Su, Kunsong
Xiao, Fei
Liang, Chaoyang
Liu, Deruo
author_sort Han, Yu
collection PubMed
description BACKGROUND: This study aimed to demonstrate the learning curve of anatomical segmentectomy performed by uniportal video-assisted thoracoscopic surgery (U-VATS). METHOD: We conducted a retrospective study of U-VATS segmentectomies performed by the same surgeon between September 2019 and August 2022. The learning curve was demonstrated using risk-adjusted cumulative sum (RA-CUSUM) analysis in terms of perioperative complications, which reflected surgical quality and technique proficiency. The surgical outcomes were also compared between different phases. RESULT: The complication-based learning curve of U-VATS segmentectomy could be divided into two phases based on RA-CUSUM analysis: phase I, the initial learning phase (cases 1–50) and phase II, the proficiency phase (cases 51–141). Significantly higher complication rates (24.0 vs. 8.8%, p=0.013), longer surgical times (119.8±31.9 vs. 106.2±23.8 min, p=0.005), and more blood loss (20 [IQR, 20–30] vs. 20 [IQR, 10–20] ml, p=0.003) were observed in phase I than in phase II. CONCLUSION: The learning curve of U-VATS segmentectomy consists of two phases, and at least 50 cases were required to gain technique proficiency and achieve high-quality surgical outcomes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12957-023-03086-7.
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spelling pubmed-103866002023-07-30 Uniportal video-assisted anatomical segmentectomy: an analysis of the learning curve Han, Yu Zhang, Zhenrong Feng, Hongxiang Wen, Huanshun Su, Kunsong Xiao, Fei Liang, Chaoyang Liu, Deruo World J Surg Oncol Research BACKGROUND: This study aimed to demonstrate the learning curve of anatomical segmentectomy performed by uniportal video-assisted thoracoscopic surgery (U-VATS). METHOD: We conducted a retrospective study of U-VATS segmentectomies performed by the same surgeon between September 2019 and August 2022. The learning curve was demonstrated using risk-adjusted cumulative sum (RA-CUSUM) analysis in terms of perioperative complications, which reflected surgical quality and technique proficiency. The surgical outcomes were also compared between different phases. RESULT: The complication-based learning curve of U-VATS segmentectomy could be divided into two phases based on RA-CUSUM analysis: phase I, the initial learning phase (cases 1–50) and phase II, the proficiency phase (cases 51–141). Significantly higher complication rates (24.0 vs. 8.8%, p=0.013), longer surgical times (119.8±31.9 vs. 106.2±23.8 min, p=0.005), and more blood loss (20 [IQR, 20–30] vs. 20 [IQR, 10–20] ml, p=0.003) were observed in phase I than in phase II. CONCLUSION: The learning curve of U-VATS segmentectomy consists of two phases, and at least 50 cases were required to gain technique proficiency and achieve high-quality surgical outcomes. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12957-023-03086-7. BioMed Central 2023-07-29 /pmc/articles/PMC10386600/ /pubmed/37516847 http://dx.doi.org/10.1186/s12957-023-03086-7 Text en © The Author(s) 2023, corrected publication 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Han, Yu
Zhang, Zhenrong
Feng, Hongxiang
Wen, Huanshun
Su, Kunsong
Xiao, Fei
Liang, Chaoyang
Liu, Deruo
Uniportal video-assisted anatomical segmentectomy: an analysis of the learning curve
title Uniportal video-assisted anatomical segmentectomy: an analysis of the learning curve
title_full Uniportal video-assisted anatomical segmentectomy: an analysis of the learning curve
title_fullStr Uniportal video-assisted anatomical segmentectomy: an analysis of the learning curve
title_full_unstemmed Uniportal video-assisted anatomical segmentectomy: an analysis of the learning curve
title_short Uniportal video-assisted anatomical segmentectomy: an analysis of the learning curve
title_sort uniportal video-assisted anatomical segmentectomy: an analysis of the learning curve
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10386600/
https://www.ncbi.nlm.nih.gov/pubmed/37516847
http://dx.doi.org/10.1186/s12957-023-03086-7
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