Supervised classification of minimally invasive surgery psychomotor competence based on instruments motion analysis

Oropesa García, Ignacio and Sánchez González, Patricia and Chmarra, Magdalena K. and Lamata de la Orden, Pablo and Pérez Rodríguez, Rodrigo and Jansen, F.W. and Dankelman, J. and Gómez Aguilera, Enrique J. (2014). Supervised classification of minimally invasive surgery psychomotor competence based on instruments motion analysis. "Surgical Endoscopy", v. 28 (n. 2); pp. 657-670. ISSN 0930-2794. https://doi.org/10.1007/s00464-013-3226-7.

Description

Title: Supervised classification of minimally invasive surgery psychomotor competence based on instruments motion analysis
Author/s:
  • Oropesa García, Ignacio
  • Sánchez González, Patricia
  • Chmarra, Magdalena K.
  • Lamata de la Orden, Pablo
  • Pérez Rodríguez, Rodrigo
  • Jansen, F.W.
  • Dankelman, J.
  • Gómez Aguilera, Enrique J.
Item Type: Article
Título de Revista/Publicación: Surgical Endoscopy
Date: February 2014
ISSN: 0930-2794
Volume: 28
Subjects:
Faculty: E.T.S.I. Telecomunicación (UPM)
Department: Tecnología Fotónica [hasta 2014]
Creative Commons Licenses: Recognition - No derivative works - Non commercial

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Abstract

Background Objective assessment of psychomotor skills has become an important challenge in the training of minimally invasive surgical (MIS) techniques. Currently, no gold standard defining surgical competence exists for classifying residents according to their surgical skills. Supervised classification has been proposed as a means for objectively establishing competence thresholds in psychomotor skills evaluation. This report presents a study comparing three classification methods for establishing their validity in a set of tasks for basic skills’ assessment. Methods Linear discriminant analysis (LDA), support vector machines (SVM), and adaptive neuro-fuzzy inference systems (ANFIS) were used. A total of 42 participants, divided into an experienced group (4 expert surgeons and 14 residents with >10 laparoscopic surgeries performed) and a nonexperienced group (16 students and 8 residents with <10 laparoscopic surgeries performed), performed three box trainer tasks validated for assessment of MIS psychomotor skills. Instrument movements were captured using the TrEndo tracking system, and nine motion analysis parameters (MAPs) were analyzed. The performance of the classifiers was measured by leave-one-out cross-validation using the scores obtained by the participants. Results The mean accuracy performances of the classifiers were 71 % (LDA), 78.2 % (SVM), and 71.7 % (ANFIS). No statistically significant differences in the performance were identified between the classifiers. Conclusions The three proposed classifiers showed good performance in the discrimination of skills, especially when information from all MAPs and tasks combined were considered. A correlation between the surgeons’ previous experience and their execution of the tasks could be ascertained from results. However, misclassifications across all the classifiers could imply the existence of other factors influencing psychomotor competence.

More information

Item ID: 26232
DC Identifier: http://oa.upm.es/26232/
OAI Identifier: oai:oa.upm.es:26232
DOI: 10.1007/s00464-013-3226-7
Official URL: http://link.springer.com/article/10.1007%2Fs00464-013-3226-7
Deposited by: Memoria Investigacion
Deposited on: 26 Oct 2014 11:37
Last Modified: 01 Mar 2015 23:56
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