Light environment affects the efficiency of surgical suture training.

BACKGROUND: Suture knotting is the basis of surgical skills. In the process of surgical skills learning, the surrounding environment, especially the light, will affect the efficiency of learning. This study investigated the effect of optical environment on the learning of stitching and knotting skills. METHODS: A total of 44 medical students were randomly divided into four groups and participated in the study of suture knotting in four different optical environments. During the process, we assess objective pressure level by testing salivary amylase activity Likert scale and objective structured clinical examination (OSCE) was used to estimate the subjective psychological state and overall skill mastery in surgical suturing respectively. RESULTS: Under high illumination conditions (700 lx), the salivary amylase activity of the high color temperature group (6000 K) was significantly higher than that of the low color temperature group (4000 K) (p < 0.0001). Similarly, under low illumination (300 lx), the salivary amylase activity of the high color temperature group was also significantly higher than that of the low color temperature group (p < 0.05). The student under high illumination conditions (700 lx) and the low color temperature (6000 K) have an autonomy score between 37-45, which is significantly higher compared to the other three groups (p < 0.0001). Group 2 has an average OSCE score of 95.09, which were significantly higher than those of the other three groups (p < 0.05). CONCLUSION: High illumination combined with low color temperature is considered as the optimal training conditions, promoting trainees' optimism, reducing stress levels, and enhancing learning efficiency. These results highlight the pivotal role of light environment in improving the quality and efficiency of surgical skills training.

Construct validation of a novel synthetic tendon model used for assessing surgeon performance in a simulated core suture tendon repair technique.

BACKGROUND: The strength of tendon repair is dependent on the quality of the core suture. Organic and synthetic materials have been used to simulate tendon repair for training; however, no model has undergone construct validation. OBJECTIVES: To determine the construct validity of a novel synthetic tendon repair model. METHODS: Synthetic silicone tendon models were used to simulate adult Achilles tendon (AT) and digital flexor tendon (FT). Participants were categorised into novice, intermediate, and advanced groups based on prior surgical experience. Participants repaired tendons using the modified Kessler technique. A validated motion analysis system was used to measure the duration, path length, and movement count during the simulated task. A global rating score was also used to assess the performance. RESULTS: All participants in the novice (n = 12), intermediate (n = 8) and advanced (n = 11) groups completed the tasks. The results (mean±standard deviation) were duration (872 ± 335, 492 ± 257 and 357 ± 40 s), path length (9493 ± 3173, 6668 ± 1740 and 4672 ± 1228 cm), movement count (4974 ± 673, 4228 ± 259 and 3962 ± 69) and global rating (39 ± 13, 61 ± 14, 81 ± 5), respectively. The Kruskal-Wallis test was significant for all outcome measures (p < 0.01). Significant differences in duration and movement count were identified post-hoc in the AT model for each experience group (p < 0.05), and between novice and intermediate participants for FT repair (p < 0.04). Global rating was significantly different between all groups and was highly correlated with motion metrics (p < 0.01). CONCLUSION: The results support construct validity of this novel simulated tendon repair model. The global rating scores may allow wide utility of this simulation. This model provides a valid and safe environment for surgical trainees to practice tendon repair with several cost, ethical and logistical benefits over animal tendon use. 248/250.

Experts in Minimally Invasive Surgery are Outperformed by Trained Novices on Suturing Skills.

INTRODUCTION: Learning minimally invasive suturing can be challenging, creating a barrier to further implementation, especially with the development of easier methods. Nevertheless, mastering intracorporeal knot tying is crucial when alternative techniques prove inadequate. Therefore, the minimally invasive surgery (MIS) suturing skills of MIS experts are compared with a group of novices during their learning curve on a simulator. METHODS: The novice participants repeatedly performed the intracorporeal suturing task on the EoSim MIS simulator (up to a maximum of 20 repetitions). The experts (>50 MIS procedures and advanced MIS experience) completed the same task once. The first and last exercises of the novices and the expert tasks were all blindly recorded and assessed by two independent assessors using the Laparoscopic Suturing Competency Assessment Tool (LS-CAT). Additionally, objective assessment parameters, "time" and "distance", using instrument tracking, were collected. The scores of the experts were then compared with the novices. RESULTS: At the end of the training, novices significantly outperformed the experts on both the expert assessment (LS-CAT: 16.8 versus 26.8, P = 0.001) and objective parameters (median time: 190 s versus 161 s, P < 0.001; median distance: 6.1 m versus 3.6 m, P < 0.001). Although the experts showed slightly better performance than the novices during their first task, the difference was not significant on the expert assessment (LS-CAT experts 16.8, novices 20.5, P = 0.057). CONCLUSIONS: Our findings underscore the significance of continued MIS suturing training for both residents and surgeons. In this study, trained novices demonstrated a significant outperformance of experts on both quantitative and qualitative outcome parameters within a simulated setting.

Automatic performance evaluation of the intracorporeal suture exercise.

PURPOSE: This work uses deep learning algorithms to provide automated feedback on the suture with intracorporeal knot exercise in the fundamentals of laparoscopic surgery simulator. Different metrics were designed to provide informative feedback to the user on how to complete the task more efficiently. The automation of the feedback will allow students to practice at any time without the supervision of experts. METHODS: Five residents and five senior surgeons participated in the study. Object detection, image classification, and semantic segmentation deep learning algorithms were used to collect statistics on the practitioner's performance. Three task-specific metrics were defined. The metrics refer to the way the practitioner holds the needle before the insertion to the Penrose drain, and the amount of movement of the Penrose drain during the needle's insertion. RESULTS: Good agreement between the human labeling and the different algorithms' performance and metric values was achieved. The difference between the scores of the senior surgeons and the surgical residents was statistically significant for one of the metrics. CONCLUSION: We developed a system that provides performance metrics of the intracorporeal suture exercise. These metrics can help surgical residents practice independently and receive informative feedback on how they entered the needle into the Penrose.

[Method for evaluating effectiveness of simulation trainings in surgical manipulations].

Performance of varies surgical manipulations (SM) is a key skill in surgery. To develop such skills simulation trainings (ST) are used, followed by a training transfer, which is the ultimate goal of ST However, this training goal is not always achievable - the share of doctors using laparoscopic intracorporal suturing after the training ranges from 43.8% to 72.2%. Therefore, to improve training transfer it is necessity to evaluate effectiveness of such training programs. Current methods evaluate training results either outside real practice or in practice but in small groups due to high cost and efforts consumed. The paper presents a new method to evaluate effectiveness of SM simulation training programs in general population of the trainees, evaluate additional effects of the training and analyze personal factors affecting the training results. The method is based on a survey of the ST program participants, and tested at the Training and Accreditation Center «Medical Simulation Center of the Botkin Hospital¼ within the program on laparoscopic intracorporal suturing. The rate of training transfer added up to 88.9%. The suggested method makes it possible to evaluate effectiveness of SM simulation training in general population of the trainees, analyze factors affecting the training results and use findings for improving ST programs and methods in general. The method can be recommended for a large-scale implementation in simulation training programs.

Assessing Endoscopic Suture Performance of Gynecology and Obstetrics Residents Following Methodic Training.

OBJECTIVE: To evaluate the performance of residents in gynecology and obstetrics before and after practicing laparoscopic sutures, to establish when the training shows the best results, in addition to comparing whether being in different years of residency influences this progression. METHODS: A prospective cohort study involving 32 medical residents evaluated with a pretest to establish their previous knowledge in laparoscopic suture. This test consisted of knotting two wires, one made of polypropylene and the other of polyglactin, with a blocking sequence of five semi-knots. We set a 30-minute limit to complete the task. Then, the residents held four training meetings, focusing on suture, Gladiator rule, knot, and symmetries, in addition to executing blocking sequences. A second test to establish progress was performed. RESULTS: Regarding the time spent to make the stiches using polyglactin wire, a statistically significant time improvement (p < 0.01) was observed, with a 10.67-minute pretraining median (mean 12.24 minutes) and a 2.53-minute posttraining median (mean 3.25 minutes). Regarding the stitches with polypropylene wire, a statistically significant time improvement (p < 0.05) was also observed, with a 9.38-minute pretraining median (mean 15.43 minutes) and a 3.65-minute posttraining median (mean 4.54 minutes). A total of 64.2% of the residents had been able to make the knot with polypropylene previously. One hundred percent were able to complete the task in the posttest. CONCLUSION: Model training using the Gladiator rule for laparoscopic suture improves the knotting time with statistically similar performance, regardless of the year of residency, after systematic training.

OBJETIVO: Avaliar a performance de residentes em ginecologia e obstetrícia antes e depois de praticarem suturas laparoscópicas, com o intuito de estabelecer quando o treinamento mostra os melhores resultados, comparando se estar em diferentes da residência influencia essa progressão. MéTODOS: Um estudo coorte prospectivo envolvendo 32 médicos residentes avaliados com um teste pré-treinamento para avaliar seus conhecimentos prévios em sutura laparoscópica. Esse teste consistia em atar nós em dois fios, um de polipropileno e o outro de poliglactina, com uma sequencia de bloqueio de cinco seminós. Definiu-se um limite de 30 minutos para se completar a tarefa. Depois, os residentes tiveram quatro reuniões de treinamento, focadas em sutura, técnica da Regra do Gladiador, nós e simetria, executando, ainda, uma sequência de pontos. Um segundo teste foi feito para avaliar o progresso. RESULTADOS: Com relação ao tempo para realizarem os pontos com fio de poliglactina, uma melhora de tempo estatisticamente significativa (p < 0.01) foi observada, com uma mediana de 10.67 minutos no pré-treinamento (média de 12.24 minutos) e uma mediana de 2.53 minutos no pós-treinamento (média de 3.25 minutos). Com relação ao fio de polipropileno, uma melhora de tempo estatisticamente significativa (p < 0.05) também foi observada, com uma mediana de pré-treinamento de 9.38 minutos (média de 15.43 minutos) e uma mediana de pós-treinamento de 3.65 minutos (média de 4.54 minutos). Um total de 64.2% dos residentes foram capazes de realizar os nós com polipropileno inicialmente. Cem por cento do residentes foram capazes de completar a tarefa no pós-teste. CONCLUSãO: O modelo de treino usando a técnica da Regra do Gladiador para sutura laparoscópica melhora o tempo de atar nós com uma performance estatisticamente similar, não havendo diferenças quanto ao ano da residência, após treinamento sistematizado.

Learning surgical knot tying and suturing technique - effects of different forms of training in a controlled randomized trial with dental students.

Objective: The acquisition of surgical skills requires motor learning. A special form of this is intermanual transfer by transferring motor skills from the nondominant hand (NDH) to the dominant hand (DH). The purpose of this study was to determine the learning gains that can be achieved for the DH by training with the DH, the NDH, and by non-surgical alternative training (AT). Methods: 124 preclinical (n=62) and clinical (n=62) dental students completed surgical knot tying and suturing technique training with the DH, with the NDH, and an AT in a controlled randomized trial. Results: A statistically significant learning gain in knot tying and suture technique with the DH was evident only after training with the DH when compared to training with the NDH (p<0.001 and p=0.004, respectively) and an AT (p=0.001 and p=0.010, respectively). Of those students who achieved a learning gain ≥4 OSATS points, 46.4% (n=32) benefited in their knot tying technique with the DH from training with the DH, 29.0% (n=20) from training with the NDH, and 24.6% (n=17) from an AT while 45.7% (n=32) benefited in their suturing technique with the DH from training with the DH, 31.4% (n=22) from training with the NDH, and 22, 9% (n=16) from an AT. Conclusions: Training with the DH enabled significantly better learning gains in the surgical knot tying and suturing techniques with the DH.

The application of an intraoral banana peel suturing model in surgical training of dental students.

OBJECTIVES: This study investigated the application of an intraoral banana peel suturing model in helping students to acquire intraoral surgical techniques. METHODS: This is a self-control study conducted from January 2021 to March 2021. An intraoral banana peel suturing model was implemented to provide oral suture experience for undergraduates majoring in stomatology. The sutures students placed in the model were photographed and evaluated blindly by a professional team using an established scoring system. Training scores were recorded before (training 1) and after 2 months of training (training 2). Linear regression was used to examine factors related to the scores. Suturing training was conducted in the School and Hospital of Stomatology at Peking University. A total of eighty-two students in Peking University School and Hospital of Stomatology were in their fourth pre-clinical year and followed a workshop on surgical sutures according to the curriculum. All students who should take this course were included, and the response rate was 100%. RESULTS: The mean training 2 score (23.04 ± 3.83) was higher than the mean training 1 score (13.94 ± 3.15). The training 1 score was not significantly correlated with any of the students' general characteristics. The training 2 score was correlated with the training 1 score and the cumulative duration of practice outside of class. CONCLUSION: The intraoral banana peel suturing model can be used for suture training, and dental students' suture ability was improved after using the banana peel for suture practice.

A mechanically validated open-source silicone model for the training of gastric perforation sewing.

BACKGROUND: Gastrointestinal perforation is commonly seen in emergency departments. The perforation of the stomach is an emergency situation that requires immediate surgical treatment. The necessary surgical skills require regular practical training. Owing to patient`s safety, in vivo training opportunities in medicine are restricted. Animal tissue especially porcine tissue, is commonly used for surgical training. Due to its limiting factors, artificial training models are often to be preferred. Many artificial models are on the market but to our knowledge, none that mimic the haptic- and sewing properties of a stomach wall at the same time. In this study, an open source silicone model of a gastric perforation for training of gastric sewing was developed that attempts to provide realistic haptic- and sewing behaviour. METHODS: To simulate the layered structure of the human stomach, different silicone materials were used to produce three different model layups. The production process was kept as simple as possible to make it easily reproducible. A needle penetration setup as well as a systematic haptic evaluation were developed to compare these silicone models to a real porcine stomach in order to identify the most realistic model. RESULTS: A silicone model consisting of three layers was identified as being the most promising and was tested by clinical surgeons. CONCLUSIONS: The presented model simulates the sewing characteristics of a human stomach wall, is easily reproducible at low-costs and can be used for practicing gastric suturing techniques. TRIAL REGISTRATIONS: Not applicable.

Video-based learning of coping strategies for common errors improves laparoscopy training-a randomized study.

AIMS: The aim of this study was to investigate whether shifting the focus to solution orientation and developing coping strategies for common errors could increase the efficiency of laparoscopic training and influence learning motivation. The concept of coping has been particularly defined by the psychologist Richard Lazarus [Lazarus and Folkman in Stress, appraisal, and coping, Springer publishing company, New York, 1984]. Based on this model, we examined the use of observational learning with a coping model for its effectiveness as a basic teaching model in laparoscopic training. METHODS: 55 laparoscopically naive medical students learned a standardized laparoscopic knot tying technique with video-based instructions. The control group was only offered a mastery video that showed the ideal technique and was free from mistakes. The intervention group was instructed on active error analysis and watched freely selectable videos of common errors including solution strategies (coping model) in addition to the mastery videos. RESULTS: There was no statistically significant difference between the intervention and control groups for number of knot tying attempts until proficiency was reached (18.8 ± 5.5 vs. 21.3 ± 6.5, p = 0.142). However, there was a significantly higher fraction of knots achieving technical proficiency in the intervention group after first use of the coping model (0.7 ± 0.1 vs. 0.6 ± 0.2, p = 0.026). Additionally, the proportion of blinded attempts that met the criteria for technical proficiency was significantly higher for the intervention group at 60.9% vs. 38.0% in control group (p = 0.021). The motivational subscore "interest" of the validated score on current motivation (QCM) was significantly higher for the intervention group (p = 0.032), as well as subjective learning benefit (p = 0.002) and error awareness (p < 0.001). CONCLUSION: Using video-based learning of coping strategies for common errors improves learning motivation and understanding of the technique with a significant difference in its qualitative implementation in laparoscopy training. The ability to think in a solution-oriented, independent way is necessary in surgery in order to recognize and adequately deal with technical difficulties and complications.

Factors Influencing Performance in Laparoscopic Suturing and Knot Tying: A Cohort Study.

BACKGROUND: Laparoscopic suturing and knot tying are regarded as some of the most difficult laparoscopic skills to learn. Training is essential to reach proficiency, but available training opportunities are limited. Various techniques to improve training have been evaluated. It appears that individual-related factors affect initial performance and response to training. Thus, the current study aimed to assess factors influencing laparoscopic-suturing and knot-tying performances. METHODS: All patients were trained one-on-one (teacher-student) for 3 hours. Patients were tested before training (bowel anastomosis model) and directly after training (congenital diaphragmatic hernia or esophageal atresia model) to evaluate transferability. Primary endpoints were time, knot quality, precision, knot strength, and overall laparoscopic knotting performance. Moreover, factors such as (1) age, (2) gender, (3) handedness, (4) previous training or operative experience, (5) playing an instrument, (6) sportive activities, and (7) computer gaming which may influence the primary endpoints were assessed. RESULTS: In total, 172 medical students or novice surgical residents were included. Training significantly improved all outcome parameters assessed in the current study. More than 50% of the patients reached proficiency after 3 hours of training. Personal factors like operative experience, playing music instruments, sportive activities, and computer gaming affected some outcome parameters. Handedness and gender affected initial performance but differences partially subsided after training. Younger participants showed a much better response to training. CONCLUSION: In conclusion, several factors influence initial performance and response to the training of laparoscopic suturing and knot tying. Surgeons who want to improve their laparoscopic performance, should concentrate on playing a musical instrument and performing sports rather than playing videos gaming. It appears that training is a key and more practice opportunities should be incorporated into medical school and surgical curricula. Moreover, handedness may affect the outcome but only if the training concepts are not tailored to the dominant hand of the surgeon. Future training and surgical curricula should adapt to this and tailor their concepts accordingly.

AI-Based Video Segmentation: Procedural Steps or Basic Maneuvers?

INTRODUCTION: Video-based review of surgical procedures has proven to be useful in training by enabling efficiency in the qualitative assessment of surgical skill and intraoperative decision-making. Current video segmentation protocols focus largely on procedural steps. Although some operations are more complex than others, many of the steps in any given procedure involve an intricate choreography of basic maneuvers such as suturing, knot tying, and cutting. The use of these maneuvers at certain procedural steps can convey information that aids in the assessment of the complexity of the procedure, surgical preference, and skill. Our study aims to develop and evaluate an algorithm to identify these maneuvers. METHODS: A standard deep learning architecture was used to differentiate between suture throws, knot ties, and suture cutting on a data set comprised of videos from practicing clinicians (N = 52) who participated in a simulated enterotomy repair. Perception of the added value to traditional artificial intelligence segmentation was explored by qualitatively examining the utility of identifying maneuvers in a subset of steps for an open colon resection. RESULTS: An accuracy of 84% was reached in differentiating maneuvers. The precision in detecting the basic maneuvers was 87.9%, 60%, and 90.9% for suture throws, knot ties, and suture cutting, respectively. The qualitative concept mapping confirmed realistic scenarios that could benefit from basic maneuver identification. CONCLUSIONS: Basic maneuvers can indicate error management activity or safety measures and allow for the assessment of skill. Our deep learning algorithm identified basic maneuvers with reasonable accuracy. Such models can aid in artificial intelligence-assisted video review by providing additional information that can complement traditional video segmentation protocols.

Capturing fine-grained details for video-based automation of suturing skills assessment.

OBJECTIVES: Manually-collected suturing technical skill scores are strong predictors of continence recovery after robotic radical prostatectomy. Herein, we automate suturing technical skill scoring through computer vision (CV) methods as a scalable method to provide feedback. METHODS: Twenty-two surgeons completed a suturing exercise three times on the Mimic™ Flex VR simulator. Instrument kinematic data (XYZ coordinates of each instrument and pose) were captured at 30 Hz. After standardized training, three human raters manually video segmented suturing task into four sub-stitch phases (Needle handling, Needle targeting, Needle driving, Needle withdrawal) and labeled the corresponding technical skill domains (Needle positioning, Needle entry, Needle driving, and Needle withdrawal). The CV framework extracted RGB features and optical flow frames using a pre-trained AlexNet. Additional CV strategies including auxiliary supervision (using kinematic data during training only) and attention mechanisms were implemented to improve performance. RESULTS: This study included data from 15 expert surgeons (median caseload 300 [IQR 165-750]) and 7 training surgeons (0 [IQR 0-8]). In all, 226 virtual sutures were captured. Automated assessments for Needle positioning performed best with the simplest approach (1 s video; AUC 0.749). Remaining skill domains exhibited improvements with the implementation of auxiliary supervision and attention mechanisms when deployed separately (AUC 0.604-0.794). All techniques combined produced the best performance, particularly for Needle driving and Needle withdrawal (AUC 0.959 and 0.879, respectively). CONCLUSIONS: This study demonstrated the best performance of automated suturing technical skills assessment to date using advanced CV techniques. Future work will determine if a "human in the loop" is necessary to verify surgeon evaluations.

Portable neuroimaging differentiates novices from those with experience for the Fundamentals of Laparoscopic Surgery (FLS) suturing with intracorporeal knot tying task.

BACKGROUND: The goal of this study was to compare the brain activation patterns of experienced and novice individuals when performing the Fundamentals of Laparoscopic Surgery (FLS) suture with intracorporeal knot tying task, which requires bimanual motor control. METHODS: Twelve experienced and fourteen novice participants completed this cross-sectional observational study. Participants performed three repetitions of the FLS suture with intracorporeal knot tying task in a standard box trainer. Functional near infrared spectroscopy (fNIRS) data was recorded using an optode montage that covered the prefrontal and sensorimotor brain areas throughout the task. Data processing was conducted using the HOMER3 and AtlasViewer toolboxes to determine the oxy-hemoglobin (HbO) and deoxyhemoglobin (HbR) concentrations. The hemodynamic response function based on HbO changes during the task relative to the resting state was averaged for each repetition and by participant. Group-level differences were evaluated using a general linear model of the HbO changes with significance set at p < 0.05. RESULTS: The average performance score for the experienced group was significantly higher than the novice group (p < 0.01). There were significant cortical activations (p < 0.05) in the prefrontal and sensorimotor areas for the experienced and novice groups. Areas of statistically significant differences in activation included the right dorsolateral prefrontal cortex (PFC), the right precentral gyrus, and the right postcentral gyrus. CONCLUSIONS: Portable neuroimaging allowed for the differentiation of brain regions activated by experienced and novice participants for a complex surgical motor task. This information can be used to support the objective evaluation of expertise during surgical skills training and assessment.

The feasibility and benefit of unsupervised at-home training of minimally invasive surgical skills.

BACKGROUND: Simulation-based training may be used to acquire MIS skills. While mostly done in a simulation center, it is proposed that this training can be undertaken at-home as well. The aim of this study is to evaluate whether unsupervised at-home training and assessment of MIS skills is feasible and results in increased MIS skills. METHODS: Medical doctors and senior medical students were tested on their innate abilities by performing a pre-test on a take-home simulator. Henceforth, they followed a two-week interval training practicing two advanced MIS skills (an interrupted suture with knot tying task and a precise peg transfer task) and subsequently performed a post-test. Both tests and all training moments were performed at home. Performance was measured using motion analysis software (SurgTrac) and by expert-assessment and self-assessment using a competency assessment tool for MIS suturing (LS-CAT). RESULTS: A total of 38 participants enrolled in the study. Participants improved significantly between the pre-test and the post-test for both tasks. They were faster (632 s vs. 213 s, p < 0.001) and more efficient (distance of instrument tips: 9.8 m vs. 3.4 m, p = 0.001) in the suturing task. Total LS-CAT scores, rated by an expert, improved significantly with a decrease from 36 at the pre-test to 20 at the post-test (p < 0.001) and showed a strong correlation with self-assessment scores (R 0.771, p < 0.001). The precise peg transfer task was completed faster (300 s vs. 163 s, p < 0.001) and more efficient as well (14.8 m vs. 5.7 m, p = 0.005). Additionally, they placed more rings correctly (7 vs. 12, p = 0.010). CONCLUSION: Unsupervised at-home training and assessment of MIS skills is feasible and resulted in an evident increase in skills. Especially in times of less exposure in the clinical setting and less education on training locations this can aid in improving MIS skills.

Learning of Intracorporal Knot Tying in Minimally Invasive Surgery by Video or Expert Instruction.

INTRODUCTION: Minimally invasive surgery skill laboratories are indispensable in training, especially for complex procedural skills such as intracorporal suturing and knot tying (ICKT). However, maintaining a laboratory is expensive, and specially trained teachers are in short supply. During the COVID-19 pandemic, in-person instruction has reduced to almost zero, while model learning via video instruction (VID) has become an integral part of medical education. The aim of this study was to compare the learning effectiveness and efficiency of ICKT by laparoscopically inexperienced medical students through video versus direct expert instruction. MATERIALS AND METHODS: A secondary analysis of two randomized controlled trials was performed. We drew data from students who were trained in ICKT with expert instruction (EXP, n = 30) and from students who were trained via VID, n = 30). A laparoscopic box trainer including laparoscope was used for ICKT. Objective Structured Assessment of Technical Skills (OSATS), knot quality, and total ICKT time were the parameters for the assessment in this study. Proficiency criteria were also defined for these parameters. RESULTS: Students in the EXP group performed significantly better in OSATS-procedure-specific checklist (PSC) and knot quality compared with students in the VID group, with no difference in task time. Of the students who reached the proficiency criteria for OSATS-PSC and knot quality, those in the EXP group required fewer attempts to do so than those in the VID group. Students in both groups improved significantly in all parameters over the first hour of evaluation. CONCLUSION: For the laparoscopically inexperienced, training in ICKT through expert instruction presents an advantage compared with video-based self-study in the form of faster understanding of the procedure and the associated consistent implementation of good knot quality. Both teaching methods significantly improved participants' ICKT skills.

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

Introduction: 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. Methods: 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. Results: 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. Conclusion: 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.

Developing artificial intelligence models for medical student suturing and knot-tying video-based assessment and coaching.

BACKGROUND: Early introduction and distributed learning have been shown to improve student comfort with basic requisite suturing skills. The need for more frequent and directed feedback, however, remains an enduring concern for both remote and in-person training. A previous in-person curriculum for our second-year medical students transitioning to clerkships was adapted to an at-home video-based assessment model due to the social distancing implications of COVID-19. We aimed to develop an Artificial Intelligence (AI) model to perform video-based assessment. METHODS: Second-year medical students were asked to submit a video of a simple interrupted knot on a penrose drain with instrument tying technique after self-training to proficiency. Proficiency was defined as performing the task under two minutes with no critical errors. All the videos were first manually rated with a pass-fail rating and then subsequently underwent task segmentation. We developed and trained two AI models based on convolutional neural networks to identify errors (instrument holding and knot-tying) and provide automated ratings. RESULTS: A total of 229 medical student videos were reviewed (150 pass, 79 fail). Of those who failed, the critical error distribution was 15 knot-tying, 47 instrument-holding, and 17 multiple. A total of 216 videos were used to train the models after excluding the low-quality videos. A k-fold cross-validation (k = 10) was used. The accuracy of the instrument holding model was 89% with an F-1 score of 74%. For the knot-tying model, the accuracy was 91% with an F-1 score of 54%. CONCLUSIONS: Medical students require assessment and directed feedback to better acquire surgical skill, but this is often time-consuming and inadequately done. AI techniques can instead be employed to perform automated surgical video analysis. Future work will optimize the current model to identify discrete errors in order to supplement video-based rating with specific feedback.

Cross-Suturing is Effective for Teaching Suturing Skills: A Randomized, Controlled Trial.

INTRODUCTION: Basic suturing is a skill expected from graduating medical students. A proposed concept to increase suturing competency is to integrate art by mixing cross-stitching with suturing. We hypothesize that students trained with "cross-suturing" would improve suturing performance. METHODS: We performed a randomized controlled trial of preclinical medical students using an art-based cross-stitching method intervention compared with conventional suturing. Both groups were provided with an introductory suturing video. Assessment of simple interrupted suturing were conducted preintervention and postintervention, and at 2-wk follow-up with a video review by blinded expert raters using the American College of Surgeons basic suturing and knot tying performance rating tool. Students completed a self-assessment of proficiency, confidence, and anxiety. Statistical analysis was performed using unpaired t-tests. RESULTS: A total of 16 preclinical medical students participated. Self-assessment and objective suturing performance were comparable in the preintervention measurements. The intervention group showed significant improvement compared to the control group with median (interquartile range) self-assessment scores 9 (8.5-9) compared with 6.5 (6-7.5) (P < 0.01) and objective performance scores of 25.25 (22.75-27) compared with 16.5 (14.5-18.5) (P < 0.01). The intervention group showed retained skills at the 2-wk follow up with no differences in self-assessment or objective suturing scores immediately postintervention compared with two-wk follow-up with self-assessment scores of 9 (8.5-9) versus 9 (8-9) at 2 wk (P = 0.16) and objective performance score of 25.25 (22.75-27) versus 24.75 (23.5-26.5) at 2 wk (P = 0.29). CONCLUSIONS: The cross-suturing intervention improved suturing skills in this cohort. This low-cost approach to medical student surgical education should be explored on a larger scale.

O que os olhos não veem a microcirurgia ensina: modelo de treinamento oftalmológico com olho de boi / What the eye cannot see, microsurgery teaches: a model of ophthalmological training with a bull's eye

RESUMO Objetivo Descrever e validar um modelo oftalmológico para treinamento de transplante e microssutura de córnea utilizando globo ocular bovino. Métodos Para a montagem do modelo de treinamento, o globo ocular foi disposto sob o campo cirúrgico, apoiado sobre um recipiente plástico cilíndrico comum de 3,5cm de diâmetro, para a retirada da córnea. Foi realizada uma incisão circular superficial, e, posteriormente, uma tesoura Castroviejo curva de 9 cm foi utilizada para remoção completa da córnea, que foi recolocada em sua posição original, para que, em seguida, fossem confeccionados nove pontos equidistantes, usando fio de nylon 10-0. Por fim, foram avaliados os seguintes critérios: tempo de realização das suturas; evolução do tempo e da qualidade a cada teste; e destreza e aperfeiçoamento da realização das suturas. Resultados O modelo descrito demonstrou-se viável e adequado para o treinamento de microssuturas na córnea, possibilitando aperfeiçoamento e ganho de habilidades cirúrgicas. Conclusão O modelo de treinamento microcirúrgico apresentado possui alta viabilidade para a simulação de cirurgias oftalmológicas e textura semelhante à do olho humano real, o que o torna próximo à realidade.

ABSTRACT Objective To describe and validate an ophthalmic model for corneal transplantation and micro suture training using a bovine eyeball as a model. Methods For the training model, the eyeball was placed under the sanitary field placed on the ends of a common 3.5cm diameter cylindrical plastic container for corneal removal. A superficial circular incision was made, then 9cm curved Castroviejo scissors were used for complete corneal removal. The cornea was replaced in its original position, and 10-0 nylon thread was used to perform the sutures, with 9 equidistant stitches. Finally, the following criteria were evaluated: suturing time, time and quality progression in each attempt, dexterity and suturing improvement. Results The described model proved to be feasible and suitable for corneal micro suture training, allowing improvement and gain of dexterity in the sport. Conclusion The presented microsurgical training model has a high feasibility for the simulation of ophthalmic surgeries, in addition to a texture similar to the real human eye, which makes it close to reality.