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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...

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Autores principales: Lee, Yeon Jee, Lee, Dong-Eun, Bae, Jaekyung, Ha, Hyeong In, Lim, Myong Cheol
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
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.
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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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