Skip to main content
Top
Published in: Surgical Endoscopy 8/2019

01-08-2019

Objective assessment of surgical skill transfer using non-invasive brain imaging

Authors: Arun Nemani, Uwe Kruger, Clairice A. Cooper, Steven D. Schwaitzberg, Xavier Intes, Suvranu De

Published in: Surgical Endoscopy | Issue 8/2019

Login to get access

Abstract

Background

Physical and virtual surgical simulators are increasingly being used in training technical surgical skills. However, metrics such as completion time or subjective performance checklists often show poor correlation to transfer of skills into clinical settings. We hypothesize that non-invasive brain imaging can objectively differentiate and classify surgical skill transfer, with higher accuracy than established metrics, for subjects based on motor skill levels.

Study design

18 medical students at University at Buffalo were randomly assigned into control, physical surgical trainer, or virtual trainer groups. Training groups practiced a surgical technical task on respective simulators for 12 consecutive days. To measure skill transfer post-training, all subjects performed the technical task in an ex-vivo environment. Cortical activation was measured using functional near-infrared spectroscopy (fNIRS) in the prefrontal cortex, primary motor cortex, and supplementary motor area, due to their direct impact on motor skill learning.

Results

Classification between simulator trained and untrained subjects based on traditional metrics is poor, where misclassification errors range from 20 to 41%. Conversely, fNIRS metrics can successfully classify physical or virtual trained subjects from untrained subjects with misclassification errors of 2.2% and 8.9%, respectively. More importantly, untrained subjects are successfully classified from physical or virtual simulator trained subjects with misclassification errors of 2.7% and 9.1%, respectively.

Conclusion

fNIRS metrics are significantly more accurate than current established metrics in classifying different levels of surgical motor skill transfer. Our approach brings robustness, objectivity, and accuracy in validating the effectiveness of future surgical trainers in translating surgical skills to clinically relevant environments.
Literature
9.
10.
go back to reference Vassiliou MC, Dunkin BJ, Fried GM, Mellinger JD, Trus T, Kaneva P, Lyons C, Korndorffer JR, Ujiki M, Velanovich V, Kochman ML, Tsuda S, Martinez J, Scott DJ, Korus G, Park A, Marks JM (2014) Fundamentals of endoscopic surgery: creation and validation of the hands-on test. Surg Endosc 28:704–711. https://doi.org/10.1007/s00464-013-3298-4 CrossRefPubMed Vassiliou MC, Dunkin BJ, Fried GM, Mellinger JD, Trus T, Kaneva P, Lyons C, Korndorffer JR, Ujiki M, Velanovich V, Kochman ML, Tsuda S, Martinez J, Scott DJ, Korus G, Park A, Marks JM (2014) Fundamentals of endoscopic surgery: creation and validation of the hands-on test. Surg Endosc 28:704–711. https://​doi.​org/​10.​1007/​s00464-013-3298-4 CrossRefPubMed
12.
go back to reference Scott DJ, Pugh CM, Ritter EM, Jacobs LM, Pellegrini CA, Sachdeva AK (2011) New directions in simulation-based surgical education and training: validation and transfer of surgical skills, use of nonsurgeons as faculty, use of simulation to screen and select surgery residents, and long-term follow-up of learners. Surgery 149:735–744. https://doi.org/10.1016/j.surg.2010.11.010 CrossRefPubMed Scott DJ, Pugh CM, Ritter EM, Jacobs LM, Pellegrini CA, Sachdeva AK (2011) New directions in simulation-based surgical education and training: validation and transfer of surgical skills, use of nonsurgeons as faculty, use of simulation to screen and select surgery residents, and long-term follow-up of learners. Surgery 149:735–744. https://​doi.​org/​10.​1016/​j.​surg.​2010.​11.​010 CrossRefPubMed
29.
go back to reference Nemani A, Kruger U, Intes X, De S (2017) Increased sensitivity in discriminating surgical motor skills using prefrontal cortex activation over established metrics. In: Optics in the life sciences congress. OSA, San Diego, p 11 Nemani A, Kruger U, Intes X, De S (2017) Increased sensitivity in discriminating surgical motor skills using prefrontal cortex activation over established metrics. In: Optics in the life sciences congress. OSA, San Diego, p 11
30.
go back to reference Soper NJ, Fried GM (2008) The fundamentals of laparoscopic surgery: its time has come. Bull Am Coll Surg 93:30–32PubMed Soper NJ, Fried GM (2008) The fundamentals of laparoscopic surgery: its time has come. Bull Am Coll Surg 93:30–32PubMed
35.
go back to reference Sankaranarayanan G, Lin H, Arikatla VS, Mulcare M, Zhang L, Derevianko A, Lim R, Fobert D, Cao C, Schwaitzberg SD, Jones DB, De S (2010) Preliminary face and construct validation study of a virtual basic laparoscopic skill trainer. J Laparoendosc Adv Surg Tech 20:153–157. https://doi.org/10.1089/lap.2009.0030 CrossRef Sankaranarayanan G, Lin H, Arikatla VS, Mulcare M, Zhang L, Derevianko A, Lim R, Fobert D, Cao C, Schwaitzberg SD, Jones DB, De S (2010) Preliminary face and construct validation study of a virtual basic laparoscopic skill trainer. J Laparoendosc Adv Surg Tech 20:153–157. https://​doi.​org/​10.​1089/​lap.​2009.​0030 CrossRef
41.
go back to reference Swinnen SP, Gooijers J (2015) Bimanual Coordination. In: Brain mapp, 1st edn. Elsevier, San Diego, pp 475–482CrossRef Swinnen SP, Gooijers J (2015) Bimanual Coordination. In: Brain mapp, 1st edn. Elsevier, San Diego, pp 475–482CrossRef
42.
go back to reference Swinnen SP, Wenderoth N (2004) Two hands, one brain: cognitive neuroscience of bimanual skill. Trends Cogn Sci 8:18–25CrossRefPubMed Swinnen SP, Wenderoth N (2004) Two hands, one brain: cognitive neuroscience of bimanual skill. Trends Cogn Sci 8:18–25CrossRefPubMed
43.
go back to reference Nemani A, Intes X, De S (2014) Monte Carlo based simulation of sensitivity curvature for evaluating optimal probe geometry. In: Biomedical optics 2014. OSA, Washington, D.C., p BM3A.36CrossRef Nemani A, Intes X, De S (2014) Monte Carlo based simulation of sensitivity curvature for evaluating optimal probe geometry. In: Biomedical optics 2014. OSA, Washington, D.C., p BM3A.36CrossRef
50.
go back to reference Tabachnick BG, Fidell LS (2007) Using multivariate statistics, 5th edn. Allyn & Bacon, Needham Heights Tabachnick BG, Fidell LS (2007) Using multivariate statistics, 5th edn. Allyn & Bacon, Needham Heights
51.
go back to reference Silverman BW (1986) Density estimation for statistics and data analysis. CRC press, Boca RatonCrossRef Silverman BW (1986) Density estimation for statistics and data analysis. CRC press, Boca RatonCrossRef
56.
go back to reference Sakai K, Hikosaka O, Miyauchi S, Takino R, Sasaki Y, Pütz B (1998) Transition of brain activation from frontal to parietal areas in visuomotor sequence learning. J Neurosci 18:1827–1840CrossRefPubMed Sakai K, Hikosaka O, Miyauchi S, Takino R, Sasaki Y, Pütz B (1998) Transition of brain activation from frontal to parietal areas in visuomotor sequence learning. J Neurosci 18:1827–1840CrossRefPubMed
58.
go back to reference Nakamura K, Sakai K, Hikosaka O (1998) Neuronal activity in medial frontal cortex during learning of sequential procedures. J Neurophysiol 80:2671–2687CrossRefPubMed Nakamura K, Sakai K, Hikosaka O (1998) Neuronal activity in medial frontal cortex during learning of sequential procedures. J Neurophysiol 80:2671–2687CrossRefPubMed
59.
go back to reference Klintsova AY, Greenough WT (1999) Synaptic plasticity in cortical systems. Curr Opin Neurobiol 9:203–208CrossRefPubMed Klintsova AY, Greenough WT (1999) Synaptic plasticity in cortical systems. Curr Opin Neurobiol 9:203–208CrossRefPubMed
Metadata
Title
Objective assessment of surgical skill transfer using non-invasive brain imaging
Authors
Arun Nemani
Uwe Kruger
Clairice A. Cooper
Steven D. Schwaitzberg
Xavier Intes
Suvranu De
Publication date
01-08-2019
Publisher
Springer US
Published in
Surgical Endoscopy / Issue 8/2019
Print ISSN: 0930-2794
Electronic ISSN: 1432-2218
DOI
https://doi.org/10.1007/s00464-018-6535-z

Other articles of this Issue 8/2019

Surgical Endoscopy 8/2019 Go to the issue