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Articoli scientifici

Development and validation of the metric-based assessment of a robotic vessel dissection, vessel loop positioning, clip applying and bipolar coagulation task on an avian model

By 12 Agosto 2021Gennaio 19th, 2022No Comments

Stefano Puliatti, Marco Amato, Elio Mazzone, Giuseppe Rosiello, Ruben De Groote, Pietro Piazza, Luca Sarchi, Rui Farinha, Alexandre Mottrie, Anthony G Gallagher

Abstract

The evolution of robotic technology and its diffusion does not seem to have been adequately accompanied by the development and implementation of surgeon training programs that ensure skilled and safe device use at the start of the learning curve. The objective of the study is to develop and validate performance metrics for vessel dissection, vessel loop positioning, clip applying and bipolar coagulation using an avian model. Three robotic surgeons and a behavioral scientist characterized the performance metrics of the task according to the proficiency-based progression methodology. Fourteen experienced robotic surgeons from different European countries participated in a modified online Delphi consensus. Eight experienced surgeons and eight novices performed the robotic task twice. In the Delphi meeting, 100% consensus was reached on the performance metrics. Novice surgeons took 26 min to complete the entire task on trial 1 and 20 min on trial 2. Experts took 10.1 min and 9.5 min. On average the Expert Group completed the task 137% faster than the Novice Group. The amount of time to reach the vessel part of the task was also calculated. Novice surgeons took 26 min on trial 1 and 20 min on trial 2. Experts took 5.5 min and 4.8 min. On average the experts reached the vessel 200% faster than the novices. The Expert Group made 155% fewer performance errors than the Novice Group. The mean IRR of video-recorded performance assessments for all metrics was 0.96 (95% confidence intervals (CI) lower = 0.94-upper = 0.98). We report the development and validation for a standard and replicable basic robotic vessel dissection, vessel loop positioning, clip applying and bipolar coagulation task on an avian model. The development of objective performance metrics, based on a transparent and fair methodology (i.e., PBP), is the first fundamental step toward quality assured training. This task developed on the avian model proved to have good results in the validation study.

Keywords: Dissection skills; Proficiency-based metrics; Robotic surgical training; Training task validation.

© 2021. The Author(s), under exclusive licence to Springer-Verlag London Ltd., part of Springer Nature.

Stefano Puliatti

Stefano Puliatti

Il Dr. Puliatti si è laureato in Medicina e chirurgia nel 2012 presso l’Università degli Studi di Modena ed ha poi conseguito il titolo di specialista in Urologia con il massimo dei voti presso lo stesso Ateneo. Da Luglio 2019 ricopre il ruolo di Assistant Professor in Urologia presso l'Università di Modena e Reggio Emilia. Da Luglio 2019 ricopre anche il ruolo di Deputy Medical Director of ORSI Academy, Melle, Belgio e svolge attività clinica e chirurgica presso OLV (Onze Lieve Vrouwziekenhuis) Hospital in Aalst, Belgio (direttore: Prof. Alex Mottrie). La sua formazione si è incentrata in particolare sulla Chirurgia robotica e oncologica delle vie urinarie, avendo come principali campi di applicazione anche tumori e malattie della prostata, tumori del rene e delle alte vie urinarie, disturbi minzionali, calcolosi delle vie urinarie. È inoltre autore e coautore di articoli scientifici e capitoli di libro in ambito urologico. Attualmente svolge attività in libera professione presso diverse strutture situate a Modena e Provincia.