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Quantitative Assessment of the Learning Curve for Robotic Thyroid Surgery

With the increased utilization of robot thyroidectomy in recent years, surgical proficiency is the paramount consideration. However, there is no single perfect or ideal method for measuring surgical proficiency. In this study, we evaluated the learning curve of robotic thyroidectomy using various pa...

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Autores principales: Kim, HyunGoo, Kwon, Hyungju, Lim, Woosung, Moon, Byung-In, Paik, Nam Sun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6463185/
https://www.ncbi.nlm.nih.gov/pubmed/30909509
http://dx.doi.org/10.3390/jcm8030402
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author Kim, HyunGoo
Kwon, Hyungju
Lim, Woosung
Moon, Byung-In
Paik, Nam Sun
author_facet Kim, HyunGoo
Kwon, Hyungju
Lim, Woosung
Moon, Byung-In
Paik, Nam Sun
author_sort Kim, HyunGoo
collection PubMed
description With the increased utilization of robot thyroidectomy in recent years, surgical proficiency is the paramount consideration. However, there is no single perfect or ideal method for measuring surgical proficiency. In this study, we evaluated the learning curve of robotic thyroidectomy using various parameters. A total of 172 robotic total thyroidectomies were performed by a single surgeon between March 2014 and February 2018. Cumulative summation analysis revealed that it took 50 cases for the surgeon to significantly improve the operation time. Mean operation time was significantly shorter in the group that included the 51st to the 172nd case, than in the group that included only the first 50 cases (132.8 ± 27.7 min vs. 166.9 ± 29.5 min; p < 0.001). On the other hand, the surgeon was competent after the 75th case when postoperative transient hypoparathyroidism was used as the outcome measure. The incidence of hypoparathyroidism gradually decreased from 52.0%, for the first 75 cases, to 40.2% after the 76th case. These results indicated that the criteria used to assess proficiency greatly influenced the interpretation of the learning curve. Incorporation of the operation time, complications, and oncologic outcomes should be considered in learning curve assessment.
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spelling pubmed-64631852019-04-19 Quantitative Assessment of the Learning Curve for Robotic Thyroid Surgery Kim, HyunGoo Kwon, Hyungju Lim, Woosung Moon, Byung-In Paik, Nam Sun J Clin Med Article With the increased utilization of robot thyroidectomy in recent years, surgical proficiency is the paramount consideration. However, there is no single perfect or ideal method for measuring surgical proficiency. In this study, we evaluated the learning curve of robotic thyroidectomy using various parameters. A total of 172 robotic total thyroidectomies were performed by a single surgeon between March 2014 and February 2018. Cumulative summation analysis revealed that it took 50 cases for the surgeon to significantly improve the operation time. Mean operation time was significantly shorter in the group that included the 51st to the 172nd case, than in the group that included only the first 50 cases (132.8 ± 27.7 min vs. 166.9 ± 29.5 min; p < 0.001). On the other hand, the surgeon was competent after the 75th case when postoperative transient hypoparathyroidism was used as the outcome measure. The incidence of hypoparathyroidism gradually decreased from 52.0%, for the first 75 cases, to 40.2% after the 76th case. These results indicated that the criteria used to assess proficiency greatly influenced the interpretation of the learning curve. Incorporation of the operation time, complications, and oncologic outcomes should be considered in learning curve assessment. MDPI 2019-03-22 /pmc/articles/PMC6463185/ /pubmed/30909509 http://dx.doi.org/10.3390/jcm8030402 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Kim, HyunGoo
Kwon, Hyungju
Lim, Woosung
Moon, Byung-In
Paik, Nam Sun
Quantitative Assessment of the Learning Curve for Robotic Thyroid Surgery
title Quantitative Assessment of the Learning Curve for Robotic Thyroid Surgery
title_full Quantitative Assessment of the Learning Curve for Robotic Thyroid Surgery
title_fullStr Quantitative Assessment of the Learning Curve for Robotic Thyroid Surgery
title_full_unstemmed Quantitative Assessment of the Learning Curve for Robotic Thyroid Surgery
title_short Quantitative Assessment of the Learning Curve for Robotic Thyroid Surgery
title_sort quantitative assessment of the learning curve for robotic thyroid surgery
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6463185/
https://www.ncbi.nlm.nih.gov/pubmed/30909509
http://dx.doi.org/10.3390/jcm8030402
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