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Examining the learning curves in robotic cardiac surgery wet lab simulation training

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00064203%3A_____%2F25%3A10489824" target="_blank" >RIV/00064203:_____/25:10489824 - isvavai.cz</a>

  • Nalezeny alternativní kódy

    RIV/00216208:11130/25:10489824

  • Výsledek na webu

    <a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=7DVv5teRKj" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=7DVv5teRKj</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1093/icvts/ivae227" target="_blank" >10.1093/icvts/ivae227</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Examining the learning curves in robotic cardiac surgery wet lab simulation training

  • Popis výsledku v původním jazyce

    BACKGROUND: Simulation-based training has gained distinction in cardiothoracic surgery, as robotic-assisted cardiac procedures evolve. Despite the increasing use of wet lab simulators, the effectiveness of these training methods and skill acquisition rates remain poorly understood. OBJECTIVE: This study aimed to compare learning curves and assess the robotic cardiac surgical skill acquisition rate for cardiac and noncardiac surgeons who had no robotic experience in a wet lab simulation setting. METHODS: In this prospective cohort study, participants practiced three robotic tasks in a porcine model: left atriotomy closure, internal thoracic artery (ITA) harvesting, and mitral annular suturing. Participants were novice robotic cardiac and noncardiac surgeons alongside experienced robotic cardiac surgeons who established performance benchmarks. Performance was evaluated using the time-based score (TBS) and modified global evaluative assessment of robotic skills (mGEARS). RESULTS: The participants were 15 novice surgeons (7 cardiac; 8 noncardiac) and four experienced robotic surgeons.Most novices reached mastery in 52 (+-22) min for atrial closure, 32 (+-18) for ITA harvesting, and 34 (+-12) for mitral stitches, with no significant differences between the cardiac and noncardiac surgeons. However, for mGEARS, noncardiac novices faced more challenges in ITA harvesting. The Thurstone learning curve model indicated no significant difference in the learning rates between the groups. CONCLUSION: Wet lab simulation facilitates the rapid acquisition of robotic cardiac surgical skills to expert levels, irrespective of surgeons&apos; experience in open cardiac surgery. These findings support the use of wet lab simulators for standardized, competency-based training in robotic cardiac surgery.

  • Název v anglickém jazyce

    Examining the learning curves in robotic cardiac surgery wet lab simulation training

  • Popis výsledku anglicky

    BACKGROUND: Simulation-based training has gained distinction in cardiothoracic surgery, as robotic-assisted cardiac procedures evolve. Despite the increasing use of wet lab simulators, the effectiveness of these training methods and skill acquisition rates remain poorly understood. OBJECTIVE: This study aimed to compare learning curves and assess the robotic cardiac surgical skill acquisition rate for cardiac and noncardiac surgeons who had no robotic experience in a wet lab simulation setting. METHODS: In this prospective cohort study, participants practiced three robotic tasks in a porcine model: left atriotomy closure, internal thoracic artery (ITA) harvesting, and mitral annular suturing. Participants were novice robotic cardiac and noncardiac surgeons alongside experienced robotic cardiac surgeons who established performance benchmarks. Performance was evaluated using the time-based score (TBS) and modified global evaluative assessment of robotic skills (mGEARS). RESULTS: The participants were 15 novice surgeons (7 cardiac; 8 noncardiac) and four experienced robotic surgeons.Most novices reached mastery in 52 (+-22) min for atrial closure, 32 (+-18) for ITA harvesting, and 34 (+-12) for mitral stitches, with no significant differences between the cardiac and noncardiac surgeons. However, for mGEARS, noncardiac novices faced more challenges in ITA harvesting. The Thurstone learning curve model indicated no significant difference in the learning rates between the groups. CONCLUSION: Wet lab simulation facilitates the rapid acquisition of robotic cardiac surgical skills to expert levels, irrespective of surgeons&apos; experience in open cardiac surgery. These findings support the use of wet lab simulators for standardized, competency-based training in robotic cardiac surgery.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    30201 - Cardiac and Cardiovascular systems

Návaznosti výsledku

  • Projekt

  • Návaznosti

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2025

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    Interdisciplinary Cardiovascular and Thoracic Surgery

  • ISSN

    2753-670X

  • e-ISSN

    2753-670X

  • Svazek periodika

    40

  • Číslo periodika v rámci svazku

    1

  • Stát vydavatele periodika

    GB - Spojené království Velké Británie a Severního Irska

  • Počet stran výsledku

    9

  • Strana od-do

    ivae227

  • Kód UT WoS článku

    001393512000001

  • EID výsledku v databázi Scopus

    2-s2.0-85215567351