BACKGROUND: Evaluation of skill acquisition in microsurgery has traditionally relied on subjective opinions of senior faculty, but is shifting toward early competency-based training using validated models. No objective measures of dexterity, economy of movement, and ability exist. The authors propose a novel video instrument motion analysis scoring system to objectively measure motion. METHODS: Video of expert microsurgeons was analyzed and used to develop a resident motion analysis scoring system based on a mathematical model. Motion analysis scores were compared to blinded, global rating scores of the same videos using the Stanford Microsurgery and Resident Training scale. RESULTS: Eighty-five microsurgical anastomoses from 16 residents ranging from postgraduate years 1 through 6 were analyzed. Composite motion analysis scores for each segmented video correlated positively to arterial anastomotic experience (rho, +0.77; p < 0.001). Stanford Microsurgery and Resident Training scale interrater reliability was consistent between expert assessors, and mean composite motion analysis overall performance and Stanford scores were well matched for each level of experience. Composite motion analysis scores correlated significantly with combined Stanford Microsurgery and Resident Training [instrument handling (rho, +0.66; p < 0.01), efficiency (rho, +0.59; p < 0.01), suture handling (rho, +0.83; p < 0.001), operative flow (rho, +0.67; p < 0.001), and overall performance (rho, +89; p < 0.001)] motion components of the scale. CONCLUSIONS: Instrument motion analysis provides a novel, reliable, and consistent objective assessment for microsurgical trainees. It has an associated cost, but is timely, repeatable, and senior physician independent, and exposes patients to zero risk.
BACKGROUND: Evaluation of skill acquisition in microsurgery has traditionally relied on subjective opinions of senior faculty, but is shifting toward early competency-based training using validated models. No objective measures of dexterity, economy of movement, and ability exist. The authors propose a novel video instrument motion analysis scoring system to objectively measure motion. METHODS: Video of expert microsurgeons was analyzed and used to develop a resident motion analysis scoring system based on a mathematical model. Motion analysis scores were compared to blinded, global rating scores of the same videos using the Stanford Microsurgery and Resident Training scale. RESULTS: Eighty-five microsurgical anastomoses from 16 residents ranging from postgraduate years 1 through 6 were analyzed. Composite motion analysis scores for each segmented video correlated positively to arterial anastomotic experience (rho, +0.77; p < 0.001). Stanford Microsurgery and Resident Training scale interrater reliability was consistent between expert assessors, and mean composite motion analysis overall performance and Stanford scores were well matched for each level of experience. Composite motion analysis scores correlated significantly with combined Stanford Microsurgery and Resident Training [instrument handling (rho, +0.66; p < 0.01), efficiency (rho, +0.59; p < 0.01), suture handling (rho, +0.83; p < 0.001), operative flow (rho, +0.67; p < 0.001), and overall performance (rho, +89; p < 0.001)] motion components of the scale. CONCLUSIONS: Instrument motion analysis provides a novel, reliable, and consistent objective assessment for microsurgical trainees. It has an associated cost, but is timely, repeatable, and senior physician independent, and exposes patients to zero risk.
Authors: Min S Park; Andrea Brock; Vance Mortimer; Philipp Taussky; William T Couldwell; Edward Quigley Journal: J Digit Imaging Date: 2017-10 Impact factor: 4.056
Authors: Andrew R Pines; Mohammed S Alghoul; Youssef J Hamade; Mithun G Sattur; Rami James N Aoun; Tariq K Halasa; Chandan Krishna; Samer G Zammar; Najib E El Tecle; Tarek Y El Ahmadieh; Salah G Aoun; Richard W Byrne; James S Harrop; Brian T Ragel; Daniel K Resnick; Russell R Lonser; Nathan R Selden; Bernard R Bendok Journal: Oper Neurosurg (Hagerstown) Date: 2017-02-01 Impact factor: 2.703