Robotic endovascular peripheral arterial interventions: a proposal of a new learning model

ABSTRACT Objective: This study tests a suitable model for training robot-assisted peripheral vascular interventions and examines the learning curves of endovascular surgeons with different levels of previous experience and main focus of work, analyzing procedure time, fluoroscopy time, use of contr...

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Main Authors: Andressa Cristina Sposato Louzada, Pedro Henrique Araujo Souza, Marcelo Passos Teivelis, Pedro Alves Lemos Neto, Felipe Nasser, Nelson Wolosker
Format: Article
Language:English
Published: Instituto Israelita de Ensino e Pesquisa Albert Einstein 2024-12-01
Series:Einstein (São Paulo)
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Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1679-45082024000100256&lng=en&tlng=en
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author Andressa Cristina Sposato Louzada
Pedro Henrique Araujo Souza
Marcelo Passos Teivelis
Pedro Alves Lemos Neto
Felipe Nasser
Nelson Wolosker
author_facet Andressa Cristina Sposato Louzada
Pedro Henrique Araujo Souza
Marcelo Passos Teivelis
Pedro Alves Lemos Neto
Felipe Nasser
Nelson Wolosker
author_sort Andressa Cristina Sposato Louzada
collection DOAJ
description ABSTRACT Objective: This study tests a suitable model for training robot-assisted peripheral vascular interventions and examines the learning curves of endovascular surgeons with different levels of previous experience and main focus of work, analyzing procedure time, fluoroscopy time, use of contrast, and radiation emission. Methods: Sixteen endovascular surgeons with different previous experience and training performed nine manual and 18 robotic angioplasties using the CorPath GRX platform on a 3D-printed life-size immersed infragenicular arterial phantom. Results: All participants considered the model reliable. When analyzing manual angioplasty outcomes, the juniors took significantly longer to perform angioplasties than the seniors (p=0.044). Among the seniors, interventionists were faster only on the first angioplasty (p=0.046). Analysis of the robotic angioplasty results showed that only one junior failed to cannulate one of the target arteries once. The total duration, fluoroscopy time, and radiation emission did not differ between juniors and seniors (p=0.095, p=0.60, and p=0.64, respectively). In addition, the learning curves for the maximum benefit required two attempts for procedure duration, one for fluoroscopy time, and three for radiation emission. There were no significant differences between senior vascular surgeons and interventionists. Among juniors, residents had a significantly lower procedure duration (p=0.042) and radiation emission (p=0.046) only for the first angioplasty. Conclusion: The learning curves for robotic peripheral arterial interventions were short, with a plateau for the procedure and fluoroscopy times and radiation emission after the third attempt. We observed no differences in the learning curves in relation to previous experience or training.
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spelling doaj-art-3835b26299b740959c19dd56e061542e2025-08-20T02:36:54ZengInstituto Israelita de Ensino e Pesquisa Albert EinsteinEinstein (São Paulo)2317-63852024-12-012210.31744/einstein_journal/2024ao1058Robotic endovascular peripheral arterial interventions: a proposal of a new learning modelAndressa Cristina Sposato Louzadahttps://orcid.org/0000-0002-4133-3798Pedro Henrique Araujo Souzahttps://orcid.org/0009-0003-1564-9072Marcelo Passos Teivelishttps://orcid.org/0000-0002-3648-6773Pedro Alves Lemos Netohttps://orcid.org/0000-0002-6782-750XFelipe Nasserhttps://orcid.org/0000-0001-6682-2259Nelson Woloskerhttps://orcid.org/0000-0003-1991-3507ABSTRACT Objective: This study tests a suitable model for training robot-assisted peripheral vascular interventions and examines the learning curves of endovascular surgeons with different levels of previous experience and main focus of work, analyzing procedure time, fluoroscopy time, use of contrast, and radiation emission. Methods: Sixteen endovascular surgeons with different previous experience and training performed nine manual and 18 robotic angioplasties using the CorPath GRX platform on a 3D-printed life-size immersed infragenicular arterial phantom. Results: All participants considered the model reliable. When analyzing manual angioplasty outcomes, the juniors took significantly longer to perform angioplasties than the seniors (p=0.044). Among the seniors, interventionists were faster only on the first angioplasty (p=0.046). Analysis of the robotic angioplasty results showed that only one junior failed to cannulate one of the target arteries once. The total duration, fluoroscopy time, and radiation emission did not differ between juniors and seniors (p=0.095, p=0.60, and p=0.64, respectively). In addition, the learning curves for the maximum benefit required two attempts for procedure duration, one for fluoroscopy time, and three for radiation emission. There were no significant differences between senior vascular surgeons and interventionists. Among juniors, residents had a significantly lower procedure duration (p=0.042) and radiation emission (p=0.046) only for the first angioplasty. Conclusion: The learning curves for robotic peripheral arterial interventions were short, with a plateau for the procedure and fluoroscopy times and radiation emission after the third attempt. We observed no differences in the learning curves in relation to previous experience or training.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1679-45082024000100256&lng=en&tlng=enEndovascular proceduresAngioplastyRobotic surgical proceduresModelsCardiovascularTraining
spellingShingle Andressa Cristina Sposato Louzada
Pedro Henrique Araujo Souza
Marcelo Passos Teivelis
Pedro Alves Lemos Neto
Felipe Nasser
Nelson Wolosker
Robotic endovascular peripheral arterial interventions: a proposal of a new learning model
Einstein (São Paulo)
Endovascular procedures
Angioplasty
Robotic surgical procedures
Models
Cardiovascular
Training
title Robotic endovascular peripheral arterial interventions: a proposal of a new learning model
title_full Robotic endovascular peripheral arterial interventions: a proposal of a new learning model
title_fullStr Robotic endovascular peripheral arterial interventions: a proposal of a new learning model
title_full_unstemmed Robotic endovascular peripheral arterial interventions: a proposal of a new learning model
title_short Robotic endovascular peripheral arterial interventions: a proposal of a new learning model
title_sort robotic endovascular peripheral arterial interventions a proposal of a new learning model
topic Endovascular procedures
Angioplasty
Robotic surgical procedures
Models
Cardiovascular
Training
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1679-45082024000100256&lng=en&tlng=en
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