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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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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. |
format | Online Article Text |
id | pubmed-6463185 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
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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