Smoothness of surgical tool tip motion correlates to skill in endovascular tasks

Current performance assessment techniques in endovascular surgery are subjective or limited to grading scales based solely on an expert's observation of a novice's task execution. Since most endovascular procedures involve performing fine motor control tasks that require complex dexterous...

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Bibliographic Details
Published in:IEEE transactions on human-machine systems 2016-10, Vol.46 (5), p.647-659
Main Authors: Estrada, Sean, Duran, Cassidy, Schulz, Daryl, Bismuth, Jean, Byrne, Michael D., O'Malley, Marcia K.
Format: Article
Language:English
Subjects:
Catheterization
Catheters
Computational modeling
Measurement
Motion capture
skill assessment
Solid modeling
Surgery
surgical training
Training
virtual reality
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Summary:Current performance assessment techniques in endovascular surgery are subjective or limited to grading scales based solely on an expert's observation of a novice's task execution. Since most endovascular procedures involve performing fine motor control tasks that require complex dexterous movements, this paper evaluates objective and quantitative metrics of performance that capture movement quality through the computation of tool tip movement smoothness. An experiment was designed that involved recording the catheter tip movement from 20 subjects performing four fundamental endovascular tasks in each of three sessions using manual catheterization on a physical model and in a simulation environment. Several motion-based performance measures that have been shown to reliably assess skill in other domains were computed and tested for correlation with subjective data that were simultaneously obtained from the global rating scale assessment tool. Metrics that captured movement smoothness produced statistically significant correlations with the observation-based assessment metrics and were able to differentiate skill among participants. In particular, submovement analysis led to metrics that captured statistically significant differences across ability group, session, experimental platform, and task. Objective and quantitative metrics that capture movement smoothness could be incorporated into future training protocols to provide detailed feedback on trainee performance.
ISSN:2168-2291
2168-2305
DOI:10.1109/THMS.2016.2545247