Computer-Aided Feedback of Surgical Knot Tying Using Optical Tracking

Watson, R. A.

doi:10.1016/j.jsurg.2011.12.001

Cited by 8 publications

(8 citation statements)

References 33 publications

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“…11 In this current study, there was a less profound, but still significant, difference in the hand motion pattern complexity metric between novice and expert groups, but the increased pattern complexity was now seen in the expert group. 11 In this current study, there was a less profound, but still significant, difference in the hand motion pattern complexity metric between novice and expert groups, but the increased pattern complexity was now seen in the expert group.…”

Section: Discussioncontrasting

confidence: 47%

“…In contrast to identifying the motion patterns used during task performance, these metrics simply count the number of movements, using hand velocity as the segmentation criteria. 11 In this previous study, we showed that medical students have a higher complexity of motion patterns and that learned motor skills are associated with a decrease in complexity/entropy metrics in the subtask/skill of surgical knot tying. 1 The total number of hand motions does decrease with expertise; however, this is in proportion to the reduction in time to complete a task; therefore, the total time (ie, a stopwatch) is equivalent and interchangeable with the number of hand movements, and neither inform as to the quality and characteristics of the movements by the participant (expert or novice).…”

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confidence: 85%

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Quantification of Surgical Technique Using an Inertial Measurement Unit

Watson

2013

Simulation in Healthcare: The Journal of the Society for Simulation in Healthcare

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The hypothesis that increased surgical experience would reduce the complexity of hand motion patterns was not found to be true during this surgical task, and the opposite was found to be true. An alternative hypothesis that would combine the previous finding of a reduction in complexity of a subtask with this study's finding of increasing complexity of the whole task with increasing surgical expertise could be due to a hierarchy of pattern structure: experts use simpler subtask motifs in more complex and denser patterns.

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Section: Discussioncontrasting

confidence: 47%

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confidence: 85%

Quantification of Surgical Technique Using an Inertial Measurement Unit

Watson

2013

Simulation in Healthcare: The Journal of the Society for Simulation in Healthcare

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“…17 Investigators have also turned to alternative measures of surgical performance using markers of entropy for differentiating novice and expert surgeons. 18 Hand motion and needle driver tip paths have also been assessed in bench-top simulation models. 3,5,19 The present study builds on these prior studies in two main ways including: (1) establishing a method for automatic instrument motion analysis during live endoscopic endonasal skull base surgery, and (2) providing patient-specific, anatomically segmented instrument motion analysis.…”

Section: Discussionmentioning

confidence: 99%

An Automated Methodology for Assessing Anatomy-Specific Instrument Motion during Endoscopic Endonasal Skull Base Surgery

Harbison

Berens

et al. 2016

J Neurol Surg B

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Describe instrument motion during live endoscopic skull base surgery (ESBS) and evaluate kinematics within anatomic regions. Case series. Tertiary academic center. A single skull base surgeon performed six anterior skull base approaches to the pituitary. Time-stamped instrument coordinates were recorded using an optical tracking system. Kinematics (i.e., mean cumulative instrument travel, velocity, acceleration, and angular velocity) was calculated by anatomic region including nasal vestibule, anterior and posterior ethmoid, sphenoid, and lateral opticocarotid recess (lOCR) regions. We observed mean (standard deviation, SD) velocities of 6.14 cm/s (1.55) in the nasal vestibule versus 1.65 cm/s (0.34) near the lOCR. Mean (SD) acceleration was 7,480 cm/s (5790) in the vestibule versus 928 cm/s (662) near the lOCR. Mean (SD) angular velocity was 17.2 degrees/s (8.31) in the vestibule and 5.37 degrees/s (1.09) near the lOCR. We observed a decreasing trend in the geometric mean velocity, acceleration, and angular velocity when approaching the pituitary ( < 0.001). Using a novel method for analyzing instrument motion during live ESBS, we observed a decreasing trend in kinematics with proximity to the pituitary. Additional characterization of surgical instrument motion is paramount for optimizing patient safety and training.

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“…Firstly, jerk, a measure of change in acceleration over time, has previously been linked to surgical performance [ 34 , 35 ] and indicates smooth instrument movements [ 36 ]. Secondly, entropy, a measure of randomness/complexity, has been linked to skill learning and automaticity [ 37 ] and has previously been used to quantify surgical performance [ 38 ]. Accelerometry data was collated and synchronised using GENEActiv PCSoftware, and then analysed using Matlab.…”

Section: Methodsmentioning

confidence: 99%

The effect of observing novice and expert performance on acquisition of surgical skills on a robotic platform

et al. 2017

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BackgroundObservational learning plays an important role in surgical skills training, following the traditional model of learning from expertise. Recent findings have, however, highlighted the benefit of observing not only expert performance but also error-strewn performance. The aim of this study was to determine which model (novice vs. expert) would lead to the greatest benefits when learning robotically assisted surgical skills.Methods120 medical students with no prior experience of robotically-assisted surgery completed a ring-carrying training task on three occasions; baseline, post-intervention and at one-week follow-up. The observation intervention consisted of a video model performing the ring-carrying task, with participants randomly assigned to view an expert model, a novice model, a mixed expert/novice model or no observation (control group). Participants were assessed for task performance and surgical instrument control.ResultsThere were significant group differences post-intervention, with expert and novice observation groups outperforming the control group, but there were no clear group differences at a retention test one week later. There was no difference in performance between the expert-observing and error-observing groups.ConclusionsSimilar benefits were found when observing the traditional expert model or the error-strewn model, suggesting that viewing poor performance may be as beneficial as viewing expertise in the early acquisition of robotic surgical skills. Further work is required to understand, then inform, the optimal curriculum design when utilising observational learning in surgical training.

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Computer-Aided Feedback of Surgical Knot Tying Using Optical Tracking

Cited by 8 publications

References 33 publications

Quantification of Surgical Technique Using an Inertial Measurement Unit

Quantification of Surgical Technique Using an Inertial Measurement Unit

An Automated Methodology for Assessing Anatomy-Specific Instrument Motion during Endoscopic Endonasal Skull Base Surgery

The effect of observing novice and expert performance on acquisition of surgical skills on a robotic platform

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