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Cumulative sum analysis of the learning curve for robotic retroauricular thyroidectomy

BACKGROUND: Remote-access robotic thyroid surgery enables avoiding a visible scar on the neck and allows precise manipulation through a magnified surgical view. The retroauricular approach has many advantages. This study aimed to evaluate the learning curve for robotic retroauricular thyroidectomy u...

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Autores principales: Han, Seung Hoon, Ji, Jeong-Yeon, Cha, Wonjae, Jeong, Woo-Jin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: AME Publishing Company 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9906102/
https://www.ncbi.nlm.nih.gov/pubmed/36761485
http://dx.doi.org/10.21037/gs-22-365
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author Han, Seung Hoon
Ji, Jeong-Yeon
Cha, Wonjae
Jeong, Woo-Jin
author_facet Han, Seung Hoon
Ji, Jeong-Yeon
Cha, Wonjae
Jeong, Woo-Jin
author_sort Han, Seung Hoon
collection PubMed
description BACKGROUND: Remote-access robotic thyroid surgery enables avoiding a visible scar on the neck and allows precise manipulation through a magnified surgical view. The retroauricular approach has many advantages. This study aimed to evaluate the learning curve for robotic retroauricular thyroidectomy using cumulative sum analysis. METHODS: The medical records of 36 patients who underwent robotic retroauricular thyroidectomy between 2018 and 2021 were retrospectively reviewed. The clinical features and surgical outcomes were analyzed; the learning curve was evaluated using the cumulative sum analysis. RESULTS: The learning curve using cumulative sum analysis was divided into two phases based on 15 cases: phase I (first 15 cases) and phase II (remaining 21 cases). The total operation time was significantly shorter in phase II than that in phase I (161.9±23.4 vs. 199±41.0 min, P=0.002). The flap dissection and docking time (77.1±14.3 vs. 90.0±21.5 min, P=0.037) and console time (36.5±16.2 vs. 50.3±17.8 min, P=0.020) were significantly shorter in phase II than that in phase I. There was no significant difference between the two phases in the total amount of drainage, duration of hospital stay, and complications after the surgery. CONCLUSIONS: The learning curve for robotic retroauricular thyroidectomy demonstrates that the operation time decreased rapidly after 15 cases. Proficiency in docking and manipulating the instruments accelerate the learning curve.
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spelling pubmed-99061022023-02-08 Cumulative sum analysis of the learning curve for robotic retroauricular thyroidectomy Han, Seung Hoon Ji, Jeong-Yeon Cha, Wonjae Jeong, Woo-Jin Gland Surg Original Article BACKGROUND: Remote-access robotic thyroid surgery enables avoiding a visible scar on the neck and allows precise manipulation through a magnified surgical view. The retroauricular approach has many advantages. This study aimed to evaluate the learning curve for robotic retroauricular thyroidectomy using cumulative sum analysis. METHODS: The medical records of 36 patients who underwent robotic retroauricular thyroidectomy between 2018 and 2021 were retrospectively reviewed. The clinical features and surgical outcomes were analyzed; the learning curve was evaluated using the cumulative sum analysis. RESULTS: The learning curve using cumulative sum analysis was divided into two phases based on 15 cases: phase I (first 15 cases) and phase II (remaining 21 cases). The total operation time was significantly shorter in phase II than that in phase I (161.9±23.4 vs. 199±41.0 min, P=0.002). The flap dissection and docking time (77.1±14.3 vs. 90.0±21.5 min, P=0.037) and console time (36.5±16.2 vs. 50.3±17.8 min, P=0.020) were significantly shorter in phase II than that in phase I. There was no significant difference between the two phases in the total amount of drainage, duration of hospital stay, and complications after the surgery. CONCLUSIONS: The learning curve for robotic retroauricular thyroidectomy demonstrates that the operation time decreased rapidly after 15 cases. Proficiency in docking and manipulating the instruments accelerate the learning curve. AME Publishing Company 2022-12-17 2023-01-01 /pmc/articles/PMC9906102/ /pubmed/36761485 http://dx.doi.org/10.21037/gs-22-365 Text en 2023 Gland Surgery. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Original Article
Han, Seung Hoon
Ji, Jeong-Yeon
Cha, Wonjae
Jeong, Woo-Jin
Cumulative sum analysis of the learning curve for robotic retroauricular thyroidectomy
title Cumulative sum analysis of the learning curve for robotic retroauricular thyroidectomy
title_full Cumulative sum analysis of the learning curve for robotic retroauricular thyroidectomy
title_fullStr Cumulative sum analysis of the learning curve for robotic retroauricular thyroidectomy
title_full_unstemmed Cumulative sum analysis of the learning curve for robotic retroauricular thyroidectomy
title_short Cumulative sum analysis of the learning curve for robotic retroauricular thyroidectomy
title_sort cumulative sum analysis of the learning curve for robotic retroauricular thyroidectomy
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9906102/
https://www.ncbi.nlm.nih.gov/pubmed/36761485
http://dx.doi.org/10.21037/gs-22-365
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