Comparison of the goals and MISTELS scores for the evaluation of surgeons on training benches

Autor: Jean-Alexandre Long, Maud Medici, Alexandre Moreau-Gaudry, Sandrine Voros, G. Fiard, Rémi Wolf, Philippe Cinquin
Přispěvatelé: Gestes Medico-chirurgicaux Assistés par Ordinateur (TIMC-IMAG-GMCAO), Techniques de l'Ingénierie Médicale et de la Complexité - Informatique, Mathématiques et Applications, Grenoble - UMR 5525 (TIMC-IMAG), Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019])-Institut polytechnique de Grenoble - Grenoble Institute of Technology (Grenoble INP )-VetAgro Sup - Institut national d'enseignement supérieur et de recherche en alimentation, santé animale, sciences agronomiques et de l'environnement (VAS)-Centre National de la Recherche Scientifique (CNRS)-Université Grenoble Alpes [2016-2019] (UGA [2016-2019]), CIC - Grenoble, Université Joseph Fourier - Grenoble 1 (UJF)-Institut National de la Santé et de la Recherche Médicale (INSERM), Service d'urologie [CHU Grenoble], Centre Hospitalier Universitaire [Grenoble] (CHU), Centre d'Investigation Clinique - Innovation Technologique - INSERM - CHU de Grenoble (CIC-IT Grenoble (CIT803)), CHU Grenoble-Institut National de la Santé et de la Recherche Médicale (INSERM)-Université Grenoble Alpes (UGA)
Rok vydání: 2017
Předmět:
medicine.medical_specialty
Operating Rooms
Students
Medical
education
Concurrent validity
Biomedical Engineering
Health Informatics
[SDV.MHEP.CHI]Life Sciences [q-bio]/Human health and pathology/Surgery
Spearman's rank correlation coefficient
Task (project management)
03 medical and health sciences
symbols.namesake
0302 clinical medicine
[INFO.INFO-LG]Computer Science [cs]/Machine Learning [cs.LG]
[INFO.INFO-TS]Computer Science [cs]/Signal and Image Processing
Surgical technical
medicine
Humans
Radiology
Nuclear Medicine and imaging
ComputingMilieux_MISCELLANEOUS
Surgeons
business.industry
Construct validity
Internship and Residency
General Medicine
Computer Graphics and Computer-Aided Design
Pearson product-moment correlation coefficient
Computer Science Applications
030220 oncology & carcinogenesis
Invasive surgery
symbols
Physical therapy
030211 gastroenterology & hepatology
Surgery
Laparoscopy
Computer Vision and Pattern Recognition
Clinical Competence
business
Goals
Zdroj: International Journal of Computer Assisted Radiology and Surgery
International Journal of Computer Assisted Radiology and Surgery, Springer Verlag, 2017, ⟨10.1007/s11548-017-1645-y⟩
ISSN: 1861-6429
1861-6410
Popis: Evaluation of surgical technical abilities is a major issue in minimally invasive surgery. Devices such as training benches offer specific scores to evaluate surgeons but cannot transfer in the operating room (OR). A contrario, several scores measure performance in the OR, but have not been evaluated on training benches. Our aim was to demonstrate that the GOALS score, which can effectively grade in the OR the abilities involved in laparoscopy, can be used for evaluation on a laparoscopic testbench (MISTELS). This could lead to training systems that can identify more precisely the skills that have been acquired or must still be worked on. 32 volunteers (surgeons, residents and medical students) performed the 5 tasks of the MISTELS training bench and were simultaneously video-recorded. Their performance was evaluated with the MISTELS score and with the GOALS score based on the review of the recording by two experienced, blinded laparoscopic surgeons. The concurrent validity of the GOALS score was assessed using Pearson and Spearman correlation coefficients with the MISTELS score. The construct validity of the GOALS score was assessed with k-means clustering and accuracy rates. Lastly, abilities explored by each MISTELS task were identified with multiple linear regression. GOALS and MISTELS scores are strongly correlated (Pearson correlation coefficient = 0.85 and Spearman correlation coefficient = 0.82 for the overall score). The GOALS score proves to be valid for construction for the tasks of the training bench, with a better accuracy rate between groups of level after k-means clustering, when compared to the original MISTELS score (accuracy rates, respectively, 0.75 and 0.56). GOALS score is well suited for the evaluation of the performance of surgeons of different levels during the completion of the tasks of the MISTELS training bench.
Databáze: OpenAIRE
Externí odkaz: