Fundamentals of Arthroscopic Surgery Training Program Improves Knee Arthroscopy Simulator Performance in Arthroscopic Trainees.

To determine the effectiveness of a nonanatomic simulator in developing basic arthroscopy motor skills transferable to an anatomic model. Forty-three arthroscopy novice individuals currently enrolled in medical school were recruited to perform a diagnostic knee arthroscopy using a high-fidelity virtual reality arthroscopic simulator providing haptic feedback after viewing a video of an expert performing an identical procedure. Students were then randomized into an experimental or control group. The experimental group then completed a series of self-guided training modules using the fundamentals of arthroscopy simulator training nonanatomic modules including camera centering, tracking, periscoping, palpation, and collecting stars in a three-dimensional space. Both groups completed another diagnostic knee arthroscopy between 1 and 2 weeks later. Camera path length, time, tibia and femur cartilage damage, as well as a composite score were recorded by the simulator on each attempt. The experimental group (n = 22) showed superior performance in composite score (30.09 vs 24, P = .046) and camera path length (71.51 cm vs 109.07 cm, P = .0274) at the time of the second diagnostic knee arthroscope compared with the control group (n = 21). The experimental group also showed significantly greater improvement in composite score between the first and second arthroscopes compared with the control group (14.27 vs 4.95, P < .01). Femoral and tibial cartilage damage were not significantly improved between arthroscopy attempts (-0.86% vs -1.45%, P = .40) and (-1.10 vs -1.27%, P = .83), respectively. The virtual reality-based fundamentals of arthroscopy simulator training nonanatomic simulator is beneficial in developing basic motor skills in arthroscopy novice individuals resulting in significantly greater composite performance in an anatomic knee model. Based on the results of this study, it appears that there may be benefit from nonanatomic simulators in general as part of an arthroscopy training program. Level II, randomized trial.

Cychosz CC ，Tofte JN ，Johnson A ，Gao Y ，Phisitkul P ... -  《-》

Factors Impacting Initial Arthroscopy Performance and Skill Progression in Novice Trainees.

Cychosz CC ，Tofte JN ，Johnson A ，Carender C ，Gao Y ，Phisitkul P ... -  《-》

Efficacy of standardized training on a virtual reality simulator to advance knee and shoulder arthroscopic motor skills.

Rahm S ，Wieser K ，Bauer DE ，Waibel FW ，Meyer DC ，Gerber C ，Fucentese SF ... -  《-》

Is the Virtual Reality Fundamentals of Arthroscopic Surgery Training Program a Valid Platform for Resident Arthroscopy Training?

Training in arthroscopy is associated with a steep learning curve for trainees and bears risks for patients. Virtual reality (VR) arthroscopy simulation platforms seek to overcome this and to provide a safe environment for surgical learners. The Fundamentals of Arthroscopic Surgery Training (FAST) program is one such platform. It is currently not known whether the VR FAST program can be employed as a useful teaching or examination tool to assess the basic arthroscopic skills of surgical trainees. (1) Does the VR FAST program differentiate among novice, intermediate, and expert arthroscopists? (2) Does ambidextrous performance in the VR FAST program correlate with arthroscopic experience? We prospectively recruited orthopaedic interns (novices), residents (intermediates), and fellows and attendings (experts) to complete the VR FAST program over a 1-year period from four major orthopaedic training programs on a voluntary basis. Sixty-six of 156 invited orthopaedic surgeons participated: 26 of 50 novices (16 men and 10 women), 27 of 65 intermediates (20 men and seven women), and 13 of 41 experts (10 men and three women). Surgeons of any arthroscopic experience were included, with only those with prior experience on the VR FAST program being excluded. The program consists of eight modules: three basic camera modules (Image Centering, Horizon Control, and Telescoping), three advanced camera modules (Periscoping, Trace the Line, and Trace the Curve), and two instrumented bimanual-dexterity modules (Probe Triangulation and Gather the Stars). Time taken to complete each task and measures of economy of movement (camera and instrument path length, camera alignment) were used as measures of arthroscopic experience. Every participant completed the modules using their dominant and nondominant hands. Equality in proficiency in completing the tasks using the dominant and nondominant hands were determined to be measures of arthroscopic experience. Due to the large number of outcome variables, only p values < 0.01 were considered to be statistically significant. Six of eight VR FAST modules did not discriminate among novice, intermediate, and expert arthroscopy participants. However, two did, and the ones that were most effective at distinguishing participants by level of experience were the Periscoping and Gather the Stars modules. For the Periscoping module using the dominant hand, novices required longer to complete the task with a median time of 231 seconds (IQR 149 to 358) and longer camera path length median of 191 cm (IQR 128 to 273) compared with intermediates who needed 127 seconds (IQR 106 to 233) and 125 cm (IQR 92 to 159) and experts who needed 121 seconds (IQR 93 to 157) and 119 cm (IQR 90 to 134) (p = 0.001 and p = 0.003, respectively). When using the nondominant hand, novices took longer to complete the task with a median time of 231 seconds (IQR 170 to 350) and longer camera path length 204 cm (IQR 169 to 273) compared with intermediates who required 132 seconds (IQR 97 to 162) and 111 cm (IQR 88 to 143) and experts who needed 119 seconds (IQR 104 to 183) and 120 cm (IQR 108 to 166) (p < 0.001 and p < 0.001, respectively). For the Gather the Stars module using the nondominant hand, only the novices needed longer to complete the task at a median of 131 seconds (IQR 112 to 157) and needed a longer grasper path length of 290 cm (IQR 254 to 332) compared with intermediates who needed 84 seconds (IQR 72 to 119) and 232 cm (IQR 195 to 254) and experts who needed 98 seconds (IQR 87 to 107) and 244 cm (IQR 215 to 287) (p < 0.001 and p = 0.001, respectively). Six of eight VR FAST modules did not demonstrate construct validity, and we found no correlation between arthroscopic experience and ambidextrous performance. Two modules demonstrated construct validity; however, refinement and expansion of the modules is needed with further validation in large prospective trials so that pass-fail thresholds can be set for use in high-stakes examinations. Most VR FAST modules were not discriminatory; however, they can form essential conceptual and procedural building blocks in an arthroscopic curriculum that are beneficial for novices when developing key psychomotor skills. In their present format, however, they are unsuitable for assessing arthroscopic proficiency.

Vaghela KR ，Trockels A ，Lee J ，Akhtar K ... -  《-》

Knee, Shoulder, and Fundamentals of Arthroscopic Surgery Training: Validation of a Virtual Arthroscopy Simulator.

To validate the knee, shoulder, and virtual Fundamentals of Arthroscopic Training (FAST) modules on a virtual arthroscopy simulator via correlations with arthroscopy case experience and postgraduate year. Orthopaedic residents and faculty from one institution performed a standardized sequence of knee, shoulder, and FAST modules to evaluate baseline arthroscopy skills. Total operation time, camera path length, and composite total score (metric derived from multiple simulator measurements) were compared with case experience and postgraduate level. Values reported are Pearson r; alpha = 0.05. 35 orthopaedic residents (6 per postgraduate year), 2 fellows, and 3 faculty members (2 sports, 1 foot and ankle), including 30 male and 5 female residents, were voluntarily enrolled March to June 2015. Knee: training year correlated significantly with year-averaged knee composite score, r = 0.92, P = .004, 95% confidence interval (CI) = 0.84, 0.96; operation time, r = -0.92, P = .004, 95% CI = -0.96, -0.84; and camera path length, r = -0.97, P = .0004, 95% CI = -0.98, -0.93. Knee arthroscopy case experience correlated significantly with composite score, r = 0.58, P = .0008, 95% CI = 0.27, 0.77; operation time, r = -0.54, P = .002, 95% CI = -0.75, -0.22; and camera path length, r = -0.62, P = .0003, 95% CI = -0.8, -0.33. Shoulder: training year correlated strongly with average shoulder composite score, r = 0.90, P = .006, 95% CI = 0.81, 0.95; operation time, r = -0.94, P = .001, 95% CI = -0.97, -0.89; and camera path length, r = -0.89, P = .007, 95% CI = -0.95, -0.80. Shoulder arthroscopy case experience correlated significantly with average composite score, r = 0.52, P = .003, 95% CI = 0.2, 0.74; strongly with operation time, r = -0.62, P = .0002, 95% CI = -0.8, -0.33; and camera path length, r = -0.37, P = .044, 95% CI = -0.64, -0.01, by training year. FAST: training year correlated significantly with 3 combined FAST activity average composite scores, r = 0.81, P = .0279, 95% CI = 0.65, 0.90; operation times, r = -0.86, P = .012, 95% CI = -0.93, -0.74; and camera path lengths, r = -0.85, P = .015, 95% CI = -0.92, -0.72. Total arthroscopy cases performed did not correlate significantly with overall FAST performance. We found significant correlations between both training year and knee and shoulder arthroscopy experience when compared with performance as measured by composite score, camera path length, and operation time during a simulated diagnostic knee and shoulder arthroscopy, respectively. Three FAST activities demonstrated significant correlations with training year but not arthroscopy case experience as measured by composite score, camera path length, and operation time. We attempt to validate an arthroscopy simulator that could be used to supplement arthroscopy skills training for orthopaedic residents.

Tofte JN ，Westerlind BO ，Martin KD ，Guetschow BL ，Uribe-Echevarria B ，Rungprai C ，Phisitkul P ... -  《-》