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Learning Curve Analysis of Single-Site Robot-Assisted Hysterectomy
We aim to analyze the surgical outcomes and learning curve of single-site robot-assisted hysterectomy. This was a retrospective cohort study from a single academic medical center. A total of 123 patients who underwent single-site robotic surgery for gynecologic disease were enrolled. Gynecologic sur...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8911377/ https://www.ncbi.nlm.nih.gov/pubmed/35268470 http://dx.doi.org/10.3390/jcm11051378 |
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author | Lee, Yeon Jee Lee, Dong-Eun Bae, Jaekyung Ha, Hyeong In Lim, Myong Cheol |
author_facet | Lee, Yeon Jee Lee, Dong-Eun Bae, Jaekyung Ha, Hyeong In Lim, Myong Cheol |
author_sort | Lee, Yeon Jee |
collection | PubMed |
description | We aim to analyze the surgical outcomes and learning curve of single-site robot-assisted hysterectomy. This was a retrospective cohort study from a single academic medical center. A total of 123 patients who underwent single-site robotic surgery for gynecologic disease were enrolled. Gynecologic surgeries were performed by a single surgeon using single-site robot-assisted hysterectomy. The median age of enrolled patients was 49 years (range: 30–74 years). The median operation time was 131 min (range: 59–502 min) and the median docking time was 3 min (range: 1–10 min). In addition, the median console time was 76 min (range: 29–465 min). The cumulative sum (CUSUM) graph for total operation time indicated an initial decrease at case 41, generating 3 distinct performance phases: learning (n = 41 initial cases), competence (n = 54 middle cases), and mastery (n = 28 final cases). There was one case conversion to open surgery due to the difficulty in securing the field of view because of a 16-cm bulky mass protruding from the left pelvic wall. No patients required a transfusion and two complications including vaginal cuff dehiscence were identified. The single-site robot-assisted hysterectomy is a safe and feasible procedure. The learning curve consisted of 41 cases to significantly decrease the total operation time. |
format | Online Article Text |
id | pubmed-8911377 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-89113772022-03-11 Learning Curve Analysis of Single-Site Robot-Assisted Hysterectomy Lee, Yeon Jee Lee, Dong-Eun Bae, Jaekyung Ha, Hyeong In Lim, Myong Cheol J Clin Med Article We aim to analyze the surgical outcomes and learning curve of single-site robot-assisted hysterectomy. This was a retrospective cohort study from a single academic medical center. A total of 123 patients who underwent single-site robotic surgery for gynecologic disease were enrolled. Gynecologic surgeries were performed by a single surgeon using single-site robot-assisted hysterectomy. The median age of enrolled patients was 49 years (range: 30–74 years). The median operation time was 131 min (range: 59–502 min) and the median docking time was 3 min (range: 1–10 min). In addition, the median console time was 76 min (range: 29–465 min). The cumulative sum (CUSUM) graph for total operation time indicated an initial decrease at case 41, generating 3 distinct performance phases: learning (n = 41 initial cases), competence (n = 54 middle cases), and mastery (n = 28 final cases). There was one case conversion to open surgery due to the difficulty in securing the field of view because of a 16-cm bulky mass protruding from the left pelvic wall. No patients required a transfusion and two complications including vaginal cuff dehiscence were identified. The single-site robot-assisted hysterectomy is a safe and feasible procedure. The learning curve consisted of 41 cases to significantly decrease the total operation time. MDPI 2022-03-02 /pmc/articles/PMC8911377/ /pubmed/35268470 http://dx.doi.org/10.3390/jcm11051378 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Lee, Yeon Jee Lee, Dong-Eun Bae, Jaekyung Ha, Hyeong In Lim, Myong Cheol Learning Curve Analysis of Single-Site Robot-Assisted Hysterectomy |
title | Learning Curve Analysis of Single-Site Robot-Assisted Hysterectomy |
title_full | Learning Curve Analysis of Single-Site Robot-Assisted Hysterectomy |
title_fullStr | Learning Curve Analysis of Single-Site Robot-Assisted Hysterectomy |
title_full_unstemmed | Learning Curve Analysis of Single-Site Robot-Assisted Hysterectomy |
title_short | Learning Curve Analysis of Single-Site Robot-Assisted Hysterectomy |
title_sort | learning curve analysis of single-site robot-assisted hysterectomy |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8911377/ https://www.ncbi.nlm.nih.gov/pubmed/35268470 http://dx.doi.org/10.3390/jcm11051378 |
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