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Surgical Phase Duration in Robot-Assisted Partial Nephrectomy: A Surgical Data Science Exploration for Clinical Relevance
(1) Background: Surgical phases form the basic building blocks for surgical skill assessment, feedback, and teaching. The phase duration itself and its correlation with clinical parameters at diagnosis have not yet been investigated. Novel commercial platforms provide phase indications but have not...
Autores principales: | , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10650909/ https://www.ncbi.nlm.nih.gov/pubmed/37958283 http://dx.doi.org/10.3390/diagnostics13213386 |
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author | De Backer, Pieter Peraire Lores, Maria Demuynck, Meret Piramide, Federico Simoens, Jente Oosterlinck, Tim Bogaert, Wouter Shan, Chi Victor Van Regemorter, Karel Wastyn, Aube Checcucci, Enrico Debbaut, Charlotte Van Praet, Charles Farinha, Rui De Groote, Ruben Gallagher, Anthony Decaestecker, Karel Mottrie, Alexandre |
author_facet | De Backer, Pieter Peraire Lores, Maria Demuynck, Meret Piramide, Federico Simoens, Jente Oosterlinck, Tim Bogaert, Wouter Shan, Chi Victor Van Regemorter, Karel Wastyn, Aube Checcucci, Enrico Debbaut, Charlotte Van Praet, Charles Farinha, Rui De Groote, Ruben Gallagher, Anthony Decaestecker, Karel Mottrie, Alexandre |
author_sort | De Backer, Pieter |
collection | PubMed |
description | (1) Background: Surgical phases form the basic building blocks for surgical skill assessment, feedback, and teaching. The phase duration itself and its correlation with clinical parameters at diagnosis have not yet been investigated. Novel commercial platforms provide phase indications but have not been assessed for accuracy yet. (2) Methods: We assessed 100 robot-assisted partial nephrectomy videos for phase durations based on previously defined proficiency metrics. We developed an annotation framework and subsequently compared our annotations to an existing commercial solution (Touch Surgery, Medtronic™). We subsequently explored clinical correlations between phase durations and parameters derived from diagnosis and treatment. (3) Results: An objective and uniform phase assessment requires precise definitions derived from an iterative revision process. A comparison to a commercial solution shows large differences in definitions across phases. BMI and the duration of renal tumor identification are positively correlated, as are tumor complexity and both tumor excision and renorrhaphy duration. (4) Conclusions: The surgical phase duration can be correlated with certain clinical outcomes. Further research should investigate whether the retrieved correlations are also clinically meaningful. This requires an increase in dataset sizes and facilitation through intelligent computer vision algorithms. Commercial platforms can facilitate this dataset expansion and help unlock the full potential, provided that the phase annotation details are disclosed. |
format | Online Article Text |
id | pubmed-10650909 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-106509092023-11-05 Surgical Phase Duration in Robot-Assisted Partial Nephrectomy: A Surgical Data Science Exploration for Clinical Relevance De Backer, Pieter Peraire Lores, Maria Demuynck, Meret Piramide, Federico Simoens, Jente Oosterlinck, Tim Bogaert, Wouter Shan, Chi Victor Van Regemorter, Karel Wastyn, Aube Checcucci, Enrico Debbaut, Charlotte Van Praet, Charles Farinha, Rui De Groote, Ruben Gallagher, Anthony Decaestecker, Karel Mottrie, Alexandre Diagnostics (Basel) Article (1) Background: Surgical phases form the basic building blocks for surgical skill assessment, feedback, and teaching. The phase duration itself and its correlation with clinical parameters at diagnosis have not yet been investigated. Novel commercial platforms provide phase indications but have not been assessed for accuracy yet. (2) Methods: We assessed 100 robot-assisted partial nephrectomy videos for phase durations based on previously defined proficiency metrics. We developed an annotation framework and subsequently compared our annotations to an existing commercial solution (Touch Surgery, Medtronic™). We subsequently explored clinical correlations between phase durations and parameters derived from diagnosis and treatment. (3) Results: An objective and uniform phase assessment requires precise definitions derived from an iterative revision process. A comparison to a commercial solution shows large differences in definitions across phases. BMI and the duration of renal tumor identification are positively correlated, as are tumor complexity and both tumor excision and renorrhaphy duration. (4) Conclusions: The surgical phase duration can be correlated with certain clinical outcomes. Further research should investigate whether the retrieved correlations are also clinically meaningful. This requires an increase in dataset sizes and facilitation through intelligent computer vision algorithms. Commercial platforms can facilitate this dataset expansion and help unlock the full potential, provided that the phase annotation details are disclosed. MDPI 2023-11-05 /pmc/articles/PMC10650909/ /pubmed/37958283 http://dx.doi.org/10.3390/diagnostics13213386 Text en © 2023 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 De Backer, Pieter Peraire Lores, Maria Demuynck, Meret Piramide, Federico Simoens, Jente Oosterlinck, Tim Bogaert, Wouter Shan, Chi Victor Van Regemorter, Karel Wastyn, Aube Checcucci, Enrico Debbaut, Charlotte Van Praet, Charles Farinha, Rui De Groote, Ruben Gallagher, Anthony Decaestecker, Karel Mottrie, Alexandre Surgical Phase Duration in Robot-Assisted Partial Nephrectomy: A Surgical Data Science Exploration for Clinical Relevance |
title | Surgical Phase Duration in Robot-Assisted Partial Nephrectomy: A Surgical Data Science Exploration for Clinical Relevance |
title_full | Surgical Phase Duration in Robot-Assisted Partial Nephrectomy: A Surgical Data Science Exploration for Clinical Relevance |
title_fullStr | Surgical Phase Duration in Robot-Assisted Partial Nephrectomy: A Surgical Data Science Exploration for Clinical Relevance |
title_full_unstemmed | Surgical Phase Duration in Robot-Assisted Partial Nephrectomy: A Surgical Data Science Exploration for Clinical Relevance |
title_short | Surgical Phase Duration in Robot-Assisted Partial Nephrectomy: A Surgical Data Science Exploration for Clinical Relevance |
title_sort | surgical phase duration in robot-assisted partial nephrectomy: a surgical data science exploration for clinical relevance |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10650909/ https://www.ncbi.nlm.nih.gov/pubmed/37958283 http://dx.doi.org/10.3390/diagnostics13213386 |
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