Development and validation of objective performance metrics for robot-assisted basic surgical skills in a simulated anastomosis task using a single-port robotic system

Abstract Introduction The chicken anastomosis task is a widely adopted model for training robotic suturing and knot-tying. Aim of this study was to develop and validate objective performance metrics for this task on the Single-Port (SP) robotic platform and to establish a proficiency benchmark for training and assessment. Methods Seven experts in robotic surgery training and Proficiency Based Progression (PBP) developed the metrics for the SP chicken anastomosis task. The proposed metrics were refined among a panel of n = 14 participants with significant experience in PBP and/or robotics and/or the SP system, through a modified Delphi process. Construct validity was assessed by comparing recorded performances of n = 12 expert ( ≥100 SP RARPs) and n = 12 novice surgeons, blindly scored by two reviewers. Proficiency benchmarks were established based on performance distribution. Results Delphi consensus achieved 100% agreement on the proposed performance metrics ( n = 5 steps, n = 20 errors, n = 1 failure to progress and n = 4 critical errors [CE]). Novices were twice more likely to commit a CE ( n = 6 vs. n = 3). Among participants who completed the task without CEs, novices required significantly longer completion times (mean 25.3 min, 95%CI 18.0–32.7 vs. 11.2 min, 95%CI 8.5–13.9; p = 0.003) and committed a significantly higher mean number of errors (12.3, 95%CI 8.6–16.1 vs. 8.1, 95%CI 6.6–9.6, p = 0.033). Calculated Inter-Rater Reliability (IRR: agreements/agreements+disagreements) was 0.96. Proficiency benchmarks were defined as: absence of CEs and < 10 errors. Conclusions The proposed metrics showed robust construct validity and reliability, and support PBP training and assessment for the SP platform. The proposed benchmark, as well as its clinical impact, requires confirmation and prospective evaluation.

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Publication Details

Journal
Journal of Robotic Surgery
Published
2026-10-03
DOI
https://doi.org/10.1007/s11701-026-03996-0
Primary Topic
Surgical Simulation and Training
Type
article
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article

Development and validation of objective performance metrics for robot-assisted basic surgical skills in a simulated anastomosis task using a single-port robotic system

Peter N. Wiklund, Ben J Challacombe, Ruben De Groote, Simone Crivellaro et al.
Journal of Robotic Surgery
Surgical Simulation and Training
article

Development and validation of objective performance metrics for robot-assisted basic surgical skills in a simulated anastomosis task using a single-port robotic system

Peter N. Wiklund, Ben J Challacombe, Ruben De Groote, Simone Crivellaro, A. Mottrie, Edoardo Beatrici, Sij Hemal, Alessio Guidotti, Eva Vanderstraeten, Attilio Barretta, Rui Farinha, Mario de Angelis, Valerio Santarelli, Isabelle Van Herzeele, Marco Paciotti, Nicola Frego, Stefano Puliatti, Geert De Naeyer, Francesco Cei, Francesco Pepillo, Niki Rashidian
article en

Abstract

Abstract Introduction The chicken anastomosis task is a widely adopted model for training robotic suturing and knot-tying. Aim of this study was to develop and validate objective performance metrics for this task on the Single-Port (SP) robotic platform and to establish a proficiency benchmark for training and assessment. Methods Seven experts in robotic surgery training and Proficiency Based Progression (PBP) developed the metrics for the SP chicken anastomosis task. The proposed metrics were refined among a panel of n = 14 participants with significant experience in PBP and/or robotics and/or the SP system, through a modified Delphi process. Construct validity was assessed by comparing recorded performances of n = 12 expert ( ≥100 SP RARPs) and n = 12 novice surgeons, blindly scored by two reviewers. Proficiency benchmarks were established based on performance distribution. Results Delphi consensus achieved 100% agreement on the proposed performance metrics ( n = 5 steps, n = 20 errors, n = 1 failure to progress and n = 4 critical errors [CE]). Novices were twice more likely to commit a CE ( n = 6 vs. n = 3). Among participants who completed the task without CEs, novices required significantly longer completion times (mean 25.3 min, 95%CI 18.0–32.7 vs. 11.2 min, 95%CI 8.5–13.9; p = 0.003) and committed a significantly higher mean number of errors (12.3, 95%CI 8.6–16.1 vs. 8.1, 95%CI 6.6–9.6, p = 0.033). Calculated Inter-Rater Reliability (IRR: agreements/agreements+disagreements) was 0.96. Proficiency benchmarks were defined as: absence of CEs and < 10 errors. Conclusions The proposed metrics showed robust construct validity and reliability, and support PBP training and assessment for the SP platform. The proposed benchmark, as well as its clinical impact, requires confirmation and prospective evaluation.

Journal of Robotic SurgeryVol. 20(1)
University of Modena and Reggio Emilia (IT), Guy's and St Thomas' NHS Foundation Trust (GB), Keck Hospital of USC (US), Policlinico Umberto I (IT), Ghent University Hospital (BE), University of Illinois Chicago (US), Azienda Ospedaliero-Universitaria di Modena (IT), IRCCS Humanitas Research Hospital (IT), ORSI Academy (BE), European Institute of Oncology (IT), Sapienza University of Rome (IT), Icahn School of Medicine at Mount Sinai (US)
Openalex Percentile: Top 9%
Surgical Simulation and Training
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