A new simulator model for knee arthroscopy procedures

A novel arthroscopy training program based on a 3D printed simulator

Background

Arthroscopy is the most important and exciting contribution to sports medicine of the last 100 years. One of its main limitations, however, is the steep learning curve it requires, which is not easy to beat given the scarcity and the high price of arthroscopy simulators.

Hypothesis/purpose

To describe and evaluate the effectiveness of an open-access arthroscopy training program based on a 3D-printed simulator.

Methods

A model was designed, which was to be printed on a fused filament fabrication (FFF) 3D printer for home use with polylactic acid (PLA) filaments. Fourteen exercises were prepared, each with its timeframe and conceptual goals, arranged from least difficult to most challenging. Exercises were designed to assist subjects in developing the skills of an experienced arthroscopic surgeon through use of the simulator. Twenty subjects from nine hospitals completed the arthroscopy training program. Performance in each exercise was evaluated according to the Arthroscopic Surgical Skill Evaluation Tool (ASSET), taking into account the number of times a student had to repeat each exercise to complete it successfully.

Results

The mean ASSET score for each exercise was 22 points (IQR 19-25) and the mean number of times students had to repeat each exercise was 16 (95% CI 15.27-17.97). Eighty-five percent of subjects completed the program. The device was printed without difficulty by an independent investigator without prior knowledge of 3D printing. The price of the device was under US$ 12.

Conclusion

Subjects exhibited an improvement in their basic arthroscopic skills on the simulator. The number of times each of them had to repeat each exercise was similar, which is indicative of a smooth progression of difficulty along the program. The device proved easy to print, accessible, economical, and effective. This is the first structured program based on an open-access arthroscopic simulator to obtain satisfactory results.

The employment of cynomolgus monkey as proprioceptive deficit model of the anterior cruciate ligament

INTRODUCTION

Clinically, a consensus of the treatment strategies of ACL grade 2 injury is not reached. Therefore, the present study established a proprioceptive deficit model of the ACL via an arthroscope to aid with further studying ACL grade 2 injury and treatment strategies.

MATERIALS AND METHODS

12 cynomolgus monkeys were randomly divided into the model group and the blank control group. In the model group, 1/4 of the ACL was cut under an arthroscope, whereas no intervention was performed in the blank control group. Physiological data including the maximum degree of knee flexion, the thigh circumstance and the calf circumference were measured, and the Pivot-shift, Anterior and Lachman tests were also performed. Moreover, electrophysiological data including somatosensory evoked potentials (SEPs) and motor nerve conduction velocity (MNCV) were measured. SEPs and MNCV were assessed for the latent period and amplitude.

RESULTS

Comparing the data before and after the surgery, in the blank control group, no significant difference was observed. In the model group, significant difference was observed in the Pivot-shift, Anterior drawer and Lachman test (p < 0.05), indicating the instability of the ACL. Moreover, the latent period of SEPs and MNCV were significantly increased (p < 0.009), whereas the amplitude of SEPs and MNCV was significantly decreased (p < 0.009), indicating a degenerated proprioception of the knee joint.

CONCLUSIONS

Following cutting 1/4 of the ACL, the knee joint became unstable and proprioception was declined. The results indicated that the proprioceptive deficit model of the ACL was successfully established, which could promote further studying ACL injury.

A Prospective Assessment of Knee Arthroscopy Skills Between Medical Students and Residents-Simulator Exercises for Partial Meniscectomy and Analysis of Learning Curves

Background

The Covid-19 pandemic has created the largest disruption of education in history. In a response to this, we aimed to evaluate the knee arthroscopy learning curve among medical students and orthopaedic residents.

Methods

An arthroscopy simulator was used to compare the learning curves of two groups. Medical students with any prior knowledge of arthroscopy (n=24) were compared to a residents group (n=16). Analyzed parameters were “time to complete a task,” assessment of the movement of tools and values scoring damage to the surrounding tissues.

Results

After several repetitions, both groups improved their skills in terms of time and movement. Residents were on average faster, had less camera movement, and touched the cartilage tissue less often than did students. Students showed a steeper improvement curve than residents for certain parameters, as they started from a different experience level.

Conclusion

The participants were able to reduce the time to complete a task. There was also a decrease in possible damage to the virtual surrounding tissues. In general, the residents had better mean values, but the students had the steeper learning curve. Particularly less experienced surgeons can especially train their hand–eye coordination skills required for arthroscopy surgery. Training simulators are an important training tool that supplements cadaveric training and participation in arthroscopic operations and should be included in training.

Construct Validity and Experience of Using a Low-cost Arthroscopic Knee Surgery Simulator

OBJECTIVE

To validate an affordable and easily reproducible arthroscopic knee surgery simulator made from simple, low-cost materials by demonstrating its ability to distinguish experienced from novice arthroscopists (i.e., construct validity). Additionally, acceptance and usefulness of the simulator in medical training and education were assessed.

DESIGN

The simulator was used to perform a partial meniscectomy in both menisci. External and intra-articular images obtained during the procedures were used to assess objective visual parameters. The Arthroscopic Surgical Skill Evaluation Tool and a Likert scale addressing individual perceptions about the simulator and its applicability in medical education were also used.

SETTING

The study was conducted at Hospital de Clínicas da Universidade Federal do Paraná, a teaching hospital in southern Brazil.

PARTICIPANTS

Thirty sixth-year medical students were recruited, as well as 10 orthopedic surgeons who had knee arthroscopy expertise and were members of a sports traumatology and knee arthroscopy group.

RESULTS

There were statistically significant differences between the groups in all objective parameters. The mean time to perform the procedure was 60% higher among students compared to surgeons. Students needed 72.5% more time on average to perform triangulations and obtained an error rate approximately twice higher in the assessment of the area removed from the menisci. Regarding Arthroscopic Surgical Skill Evaluation Tool scores, statistically significant differences were found between surgeons and students in all 8 domains and in the total score. The simulator was well accepted, as over 90% of participants found it useful for education and training, believed it contributed to teaching and assessing specific surgical steps and procedures, and reported that the task was enjoyable.

CONCLUSIONS

The arthroscopic knee surgery simulator was largely accepted and had good applicability in objective measurement of surgical skills, distinguishing medical students from orthopedic surgeons and thus demonstrating construct validity.

Validation of the registration accuracy of navigation-assisted arthroscopic débridement for elbow osteoarthritis

BACKGROUND

The identification and precise removal of bony impingement lesions during arthroscopic débridement arthroplasty for elbow osteoarthritis is technically difficult. Surgical navigation systems, combined with preoperative 3-dimensional (3D) assessment of bony impingements, can provide real-time tracking of the surgical instruments and impingement lesions. This study aims to determine the registration accuracy of the navigation system for the humerus and ulna during elbow arthroscopy.

METHODS

We tested the registration procedure using resin bone models of 3 actual patients with elbow osteoarthritis. We digitized bone surface points using navigation pointers under arthroscopy. We initially performed paired-point registration, digitizing 6 preset anatomical landmarks, and then refined the initial alignment with surface matching registration, digitizing 30 points. The registration accuracy for each trial was evaluated as the mean target registration error in each reference marker. Three observers repeated the registration procedure 5 times each with the 3 specimens (total, 45 trials). The median of the registration accuracy was evaluated in total (45 trials) as the accuracy of the registration procedure. The differences in the registration accuracy among the 3 observers (median of 15 trials) were also examined.

RESULTS

The total registration accuracies were 0.96 mm for the humerus and 0.85 mm for the ulna. No significant differences were found in the registration accuracy for the humerus and ulna among the 3 observers.

CONCLUSIONS

This arthroscopic-assisted registration procedure is sufficiently feasible and accurate for application of the navigation system to arthroscopic débridement arthroplasty in clinical settings.

The Effects of a Functional Three-dimensional (3D) Printed Knee Joint Simulator in Improving Anatomical Spatial Knowledge

In recent decades, three-dimensional (3D) printing as an emerging technology, has been utilized for imparting human anatomy knowledge. However, most 3D printed models are rigid anatomical replicas that are unable to represent dynamic spatial relationships between different anatomical structures. In this study, the data obtained from a computed tomography (CT) scan of a normal knee joint were used to design and fabricate a functional knee joint simulator for anatomical education. Utility of the 3D printed simulator was evaluated in comparison with traditional didactic learning in first-year medical students (n = 35), so as to understand how the functional 3D simulator could assist in their learning of human anatomy. The outcome measure was a quiz comprising 11 multiple choice questions based on locking and unlocking of the knee joint. Students in the simulation group (mean score = 85.03%, ±SD 10.13%) performed significantly better than those in the didactic learning group, P < 0.05 (mean score = 70.71%, ±SD 15.13%), which was substantiated by large effect size, as shown by a Cohen's d value of 1.14. In terms of learning outcome, female students who used 3D printed simulators as learning aids achieved greater improvement in their quiz scores as compared to male students in the same group. However, after correcting for the modality of instruction, the sex of the students did not have a significant influence on the learning outcome. This randomized study has demonstrated that the 3D printed simulator is beneficial for anatomical education and can help in enriching students' learning experience.

Does Arthroscopic Simulation Training Improve Triangulation and Probing Skills? A Randomized Controlled Trial✰

OBJECTIVE

To determine the effectiveness of simulator training on basic arthroscopic skills utilizing a novel, low-cost arthroscopic triangulation training system.

DESIGN

A randomized controlled trial of subjects without prior arthroscopy training was conducted, with participants randomized to receive either a fixed protocol of simulation training on a triangulation simulation model (30 minutes of training for 4 consecutive days), or no training. On Days 1 and 5, all participants were evaluated on 3 simulated arthroscopic tasks by an independent observer. Variables analyzed included how many times portals were changed, the time it took to complete the tasks, and the task completion rate.

SETTING

Arthrex Inc., Naples, FL.

PARTICIPANTS

Thirty-six participants (92% male, average 28 ± 5 years) with no prior arthroscopy training were randomized into 2 groups, with 17 in the training group (T) and 19 in the no-training group (NT).

RESULTS

On Day 1, there was no difference in rate of task completion between the T group and NT groups (41% versus 53%, p = 0.52). On Day 5, significantly more participants in the T group completed all tasks compared to the NT group (100% versus 63%, p = 0.008). Participants in the T group had significantly improved task completion times on Day 5 versus Day 1 (p < 0.05). Participants in the NT group had a significantly improved task completion time for Task 1 on Day 5 versus Day 1 (p = 0.037); no differences were found for Tasks 2 or 3. On Day 5, participants in the T group required significantly fewer portal changes compared to the NT group (2.35 ± 2.29 versus 6.95 ± 8.55, p = 0.039).

CONCLUSIONS

Simulation training on a simple, low-cost arthroscopic triangulation training system resulted in an overall improvement in arthroscopic probing and triangulation skills within 1 week of training, with significantly decreased task completion times and increased efficiency of movement.

Utility of Modern Arthroscopic Simulator Training Models: A Meta-analysis and Updated Systematic Review

PURPOSE

To determine the utility of modern arthroscopic simulators in transferring skills learned on the model to the operating room.

METHODS

A meta-analysis and systematic review of all English-language studies relevant to validated arthroscopic simulation models using PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analyses) guidelines from 1999 to 2016 was performed. Data collected included the specific simulator model, the joint used, participant demographic characteristics, participant level of training, training session information, type and number of tasks, pre- and post-training assessments, and overall outcomes of simulator performance. Three independent reviewers analyzed all studies.

RESULTS

Fifty-seven studies with 1,698 participants met the study criteria and were included. Of the studies, 25 (44%) incorporated an arthroscopic training program into the study methods whereas 32 (56%) did not. In 46 studies (81%), the studies' respective simulator models were used to assess arthroscopic performance, whereas 9 studies (16%) used Sawbones models, 8 (14%) used cadaveric models, and 4 (7%) evaluated subject performance on a live patient in the operating room. In 21 studies (37%), simulator performance was compared with experience level, with 20 of these (95%) showing that clinical experience correlated with simulator performance. In 25 studies (44%), task performance was evaluated before and after simulator training, with 24 of these (96%) showing improvement after training. All 4 studies that included live-patient arthroscopy reported improved operating room performance after simulator training compared with the performance of subjects not participating in a training program.

CONCLUSIONS

This review suggests that (1) training on arthroscopic simulators improves performance on arthroscopic simulators and (2) performance on simulators for basic diagnostic arthroscopy correlates with experience level. Limited data suggest that simulator training can improve basic diagnostic arthroscopy skills in vivo.

LEVEL OF EVIDENCE

Level IV, systematic review of Level I through IV studies.

Current Status of Simulation-based Training Tools in Orthopedic Surgery: A Systematic Review

OBJECTIVE

To conduct a systematic review of orthopedic training and assessment simulators with reference to their level of evidence (LoE) and level of recommendation.

DESIGN

Medline and EMBASE library databases were searched for English language articles published between 1980 and 2016, describing orthopedic simulators or validation studies of these models. All studies were assessed for LoE, and each model was subsequently awarded a level of recommendation using a modified Oxford Centre for Evidence-Based Medicine classification, adapted for education.

RESULTS

A total of 76 articles describing orthopedic simulators met the inclusion criteria, 47 of which described at least 1 validation study. The most commonly identified models (n = 34) and validation studies (n = 26) were for knee arthroscopy. Construct validation was the most frequent validation study attempted by authors. In all, 62% (47 of 76) of the simulator studies described arthroscopy simulators, which also contained validation studies with the highest LoE.

CONCLUSIONS

Orthopedic simulators are increasingly being subjected to validation studies, although the LoE of such studies generally remain low. There remains a lack of focus on nontechnical skills and on cost analyses of orthopedic simulators.