Assessment of Minimally Invasive Suturing Skills: Is Instrument Tracking an Accurate Prediction?

Minimally invasive surgery (MIS) suturing demands advanced surgical skills. Therefore, it is important these skills are adequately trained and assessed. Assessment and feedback can consist of judgments and scores of expert observers or objective parameters using instrument tracking. The aim of this study was to determine to what extent objective parameters correspond to expert assessment. Participants performed an intracorporeal suturing task on the EoSim simulator repeatedly (maximum 20 repetitions) during training. The best discriminating parameters, which previously shown construct validation, were combined into a composite score, using regression analysis. All videos were blinded and assessed by 2 independent reviewers using the validated laparoscopic suturing competency assessment tool (LS-CAT). These scores were compared with the composite score. A 100 videos of 16 trainees, during separate points on their learning curve, and 8 experts were used. The parameters "time" and "distance" were statistically significantly correlated with all LS-CAT domains. The composite score (calculated from "time" and "distance") showed improvement between the first and the last knot (57% versus 94%, P < .001). Also the LS-CAT score improved (28 versus 17, P < .001). However, the correlation of the composite score with the LS-CAT score was weak (R: 0.351), with an accuracy of 55/100 when pooling the outcomes based on inadequate, adequate, or good performance. Instrument tracking parameters (using Surgtrac) could give an indication of the skill level, however, it missed important elements, essential for reliable assessment. Therefore, expert assessment remains superior to determine the skill level in MIS suturing skills.