Simulation Training Model Research Articles

Programmable model of an automated warehouse

The paper deals with the multifunctional kit is a robust training model that simulates and demonstrates warehouse automation in the world's most advanced enterprises. Programming takes place in the Siemens TIA Portal software, which is then loaded into a Programmable Logic Automator which is interconnected with the source Siemens SITOP PSU100S. The main objective of the paper was to provide an overview of the current state of-the-art in automated manufacturing and to create an example of an automated warehouse that can be used in teaching as an ideal simulation and demonstration model for training and industrial automation.

Development of a Pedicle Screw Fixation Simulation Model for Surgical Training Using a 3-Dimensional Printer

Training surgeons in pedicle screw fixation (PSF) techniques during actual surgery is limited because of patient safety, complications, and surgical efficiency issues. Recent technical developments are leading the world to an era of personalized three-dimensional (3D) printing. This study aimed to evaluate the educational effect of using a 3D-printed spine model to train beginners in PSF techniques to improve screw accuracy and procedure time. Computed tomography (CT) scan data were used in a 3D printer to produce a life-size lumbar spine replica of L1-3 vertebrae. Four residents performed PSF thrice. Each resident performed 18 screw fixations on both sides (6 screws per trial). The time to complete the procedure and pedicle violation was recorded. The average time for the 3 procedures was 42.1±2.9 minutes, 38.8±3.3 minutes, and 32.1±2.5 minutes, respectively. Furthermore, the average pedicle screw score for the 3 procedures was 13.0±0.8, 14.5±0.6, and 16.0±0.8, respectively. As the trial was repeated, the procedure time decreased and the accuracy of screw fixation tended to be more accurate. It was possible to decrease the procedure time and increase accuracy through repeated training using the 3D-printed spine model. By implementing a 3Dprinted spine model based on the patient's actual CT data, surgeons can perform simulation surgery before the actual surgery. Therefore, this technology can be useful in educating residents to improve their surgical skills.

Building a Hysteroscopic Simulation Model

<h3>Study Objective</h3> Demonstrate the construction and implementation of a low-fidelity simulation model for hysteroscopy training to Obstetrics and Gynecology (OB/Gyn) residents. <h3>Design</h3> OB/Gyn residency training program. <h3>Setting</h3> Community-based hospital program. <h3>Patients or Participants</h3> PGY1 through PGY4 OB/Gyne residents from a community-based program. <h3>Interventions</h3> A hysteroscopic simulation model was constructed using low-cost, reusable, and readily accessible materials and supplies. This hysteroscopic model is used to assess residents' identification of a normal cervical canal, junction of the cervical canal and lower uterine segment, and both fallopian tube ostia. The residents should also be able to identify normal intrauterine anatomy and pathology. Learners are taught basic instrument use with proper scope rotation to minimize uterine manipulation and torque. <h3>Measurements and Main Results</h3> The "bell pepper" model is typically used as part of basic hysteroscopy simulation. There are some deficiencies of that model with its inability to accurately simulate proper cervical entry and identify normal intrauterine anatomy. This hysteroscopic simulation model better demonstrates proper insertion technique with angled lens resulting in improved visualization of lateral structures without angling the scope. It also provides training of proper scope rotation using the light post as a guide. <h3>Conclusion</h3> Low fidelity simulation models can be easily implemented into an OB/Gyn residency curriculum to enhance residents' procedural knowledge and skill development. Building this hysteroscopic simulation model provides a useful, practical, and low-cost training tool for teaching basic hysteroscopy techniques.

Simulation training of laparoscopic pancreaticojejunostomy and stepwise training program on a 3D-printed model

AimLaparoscopic pancreaticojejunostomy is among the most difficult and high-risk operations. Surgeons with low or moderate seniority rarely are allowed to perform this surgery in clinics. Therefore, there is an urgent need to develop a reliable simulation training model focused on laparoscopic pancreaticojejunostomy and an effective stepwise training program. MethodsSurgeons with different working experiences or exposure to different training programs at Sir Run Run Shaw Hospital were divided into four groups. Each was required to perform laparoscopic pancreaticojejunostomy using a designed three-dimensional dry lab model. All surgeons' baseline characteristics and surgical performance, including operation time and score, were recorded and analysed. The authenticity of the model was evaluated by four senior surgeons. ResultsThe surgeon group with higher seniority had an older average age, longer working time, and had completed more laparoscopic cholecystectomy and laparoscopic common bile duct exploration procedures. Meanwhile, the surgeon group with higher seniority presented better operation performance, including shorter operation time and higher operation score in their initial simulation training. Resident surgeons who underwent stepwise training with the laparoscopic biliary-enteric anastomosis training program showed better initial performance than resident surgeons who underwent stepwise training with the laparoscopic basic suture training program. After repeated training, the surgeons showed improved surgical performance. ConclusionOur pancreaticojejunostomy model showed a good degree of discernibility, as surgeons with more experience performed better with the model for their initial simulation training in laparoscopic pancreaticojejunostomy. Stepwise training of the laparoscopic biliary-enteric anastomosis training program helped surgeons obtain a better initial performance, and repeated simulation training on this model improved the surgeon's operative performance.

Development and validation of a composed canine simulator for advanced veterinary laparoscopic training.

The development of innovative simulation models for veterinary laparoscopic surgery training is a priority today. This study aimed to describe a didactic simulation tool for the training of total laparoscopic gastropexy (TLG) with intracorporeal sutures in dogs. CALMA Veterinary Lap-trainer composite simulator (CLVTS) was developed from a plaster cast of 2 Great Dane canines mimicking the space and the correct position to carry out a TLG. After video instruction, 16 veterinarians with different degrees of experience in minimally invasive surgery (Experts, n = 6 and intermediates, n = 10) evaluated four sequential simulating TLG with intracorporeal suturing in the CLVTS. Subsequently, they completed an anonymous questionnaire analyzing the realism, usefulness, and educational quality of the simulator. The CLVTS showed a good preliminary acceptance (4.7/5) in terms of the usefulness and adequacy of the exercises that, in the participants' opinion, are appropriate and are related to the difficulty of the TLG. In addition, both experienced and intermediate surgeons gave high marks (4.5/5) to the feeling of realism, design, and practicality. There were no significant differences between the responses of the two groups. The results suggest that the CVLTS has both face and content validity. Where it can be practiced in a structured environment for the development of a total laparoscopic gastropexy with intracorporeal suture and without compromising patient safety, but still has some limitations of the scope of the study. Further studies are needed to establish the ability to assess or measure technical skills, including the degree of transferability to the actual surgical environment.

Novel synthetic clot analogs for in-vitro stroke modelling.

PurposeThe increased demand for training of mechanical thrombectomy in ischemic stroke and development of new recanalization devices urges the creation of new simulation models both for training and device assessment. Clots properties have shown to play a role in procedural planning and thrombectomy device effectiveness. In this study, we analyzed the characteristics and applicability of completely synthetic, animal-free clots in the setting of an in-vitro model of mechanical thrombectomy for training and device assessment.MethodsSynthetic clots based on agarose (n = 12) and silicone (n = 11) were evaluated in an in-vitro neurointervention simulation of mechanical thrombectomy with clot extraction devices. Calcified clots of mixed nature were simulated with addition of 3D printed structures. 9 clots were excluded due to insufficient vessel occlusion and failure to integrate with clot extraction device. Synthetic thrombi were characterized and compared using a categorical score-system on vessel occlusion, elasticity, fragmentation, adherence and device integration.ResultsBoth agarose-based and silicone-based clots demonstrated relevant flow arrest and a good integration with the clot extraction device. Silicone-based clots scored higher on adherence to the vessel wall and elasticity.ConclusionSelected synthetic clots can successfully be implemented in an in-vitro training environment of mechanical thrombectomy. The clots’ different properties might serve to mimic fibrin-rich and red blood cell-rich human thrombi.

The "chicken-leg anastomosis": Low-cost tissue-realistic simulation model for esophageal atresia training in pediatric surgery.

IntroductionShifting the training from the operating room (OR) to simulation models has been proven effective in enhancing patient safety and reducing the learning time to achieve competency and increase the operative efficiency. Currently the field of pediatric surgery only offers few low-cost trainers for specialized training and these feature predominantly artificial and often unrealistic tissue. The aim of this study was to develop an easy access low-cost tissue-realistic simulation model for open training of esophageal atresia and to evaluate the acceptance in trainees and junior pediatric surgeons.Materials and methodsThe model is fashioned using reconfigured chicken skin from a chicken leg. To create a model of esophageal atresia, the chicken skin is dissected off the muscle and reconfigured around a foley catheter balloon to recreate the proximal pouch and a feeding tube to recreate the distal pouch. Surrounding structures such as the tracheo-esophageal fistula and the azygos vein can be easily added, obtaining a realistic esophageal atresia (Type C) prototype. Evaluation of model construction, usage and impact on user were performed by both a self-assessment questionnaire with pre- and post-training questions as well as observer-based variables and a revised Objective Structured Assessment of Technical Skills (OSATS) score.ResultsA total of 10 participants were constructing and using the model at two different timepoints. OSATS score for overall performance was significantly higher (p = 0.005, z = −2.78) during the second observational period [median (MD): 4,95% confidence interval CI: 3.4, 5.1] compared to the first (MD: 3, 95% CI 2.4, 4.1). Self-reported boost in confidence after model usage for performing future esophageal atresia (EA) repair and bowel anastomosis (BA) in general was significantly higher (EA: U = 1, z = −2.3, p = 0.021, BA: U = 1, z = −2.41, p = 0.016) in participants with more years in training/attending status (EA MD:5, BA MD: 5.5) compared to less experienced participants (EA MD: 1.5, BA: 1).ConclusionOur easy access low-cost simulation model represents a feasible and tissue realistic training option to increase surgical performance of pediatric surgical trainees outside the OR.

Promoting simulation-based training in radiology: a homemade phantom for the practice of ultrasound-guided procedures.

Ultrasound-guided intervention is an essential skill for many radiologists and critical for accurate diagnosis and treatment in many radiology subspecialties. Simulation using phantoms have demonstrated statistically significant benefits for trainees within the literature. We propose a novel phantom model which the authors feel is ideal for training clinical radiology trainees in the performance of ultrasound-guided procedures. The recipe to prepare a homemade phantom is described. Results of a local survey from trainees preparing and using the phantom are also presented. This realistic training simulation model can be adapted to suit a variety of biopsy devices and procedures including soft tissue biopsy and cyst aspiration. The phantom mimics the sonographic appearances of soft tissue and biopsy targets can be concealed within. The phantom was easily prepared by 22 trainees (Likert score 4.5) and it functioned well (Likert score of 4.7). In summary, our phantom model is ideal for training clinical radiology trainees in the performance of ultrasound-guided core biopsy. The availability and low cost of the model, combined with the ease of preparation and reproducibility, make this an efficient and effective addition to the training process. A low cost easily handmade phantom recipe is described that could be easily implemented in training schemes.

An Innovative Simulation Model for Microvascular Training.

Preclinical/clinical microsurgical training is essential for clinical practice. Therefore, various training models have been established, such as synthetic and cadaveric models. The most common limitation of these models is the lack of circulation, which limits the simulation of real intraoperative circumstances. Thus, the authors aimed to create a novel model that provides blood circulation with an extracorporeal perfusion device that they attached to rat cadavers for the reestablishment of a circulatory system. Patent blue and heparin were added to the perfusion fluid to visualize circulation and to dissolve thrombosis, and indocyanine green fluorescent imaging was applied to show the perfusion of the entire body. The femoral and brachial vessels were dissected, and an end-to-end anastomosis was performed on the femoral artery. The patency of the operated vessel was visualized with indocyanine green fluorescent imaging. Indocyanine green fluorescent imaging showed appropriate vessel patency and extremity perfusion through the anastomosis. The use of this novel rat model enables a solution for ethical problems encountered when using rats for surgical training courses. By practicing on these animal-sparing models with intact circulation, microsurgical skills can be improved. Future studies on further microsurgical techniques and vascular perfusion of organs or tumors may benefit from our model.

Pilot Evaluation of a Novel, Low-Cost, Simulation Model for Training and Assessment of Laparoscopic Intracorporeal Continuous Suturing.

Background: Laparoscopic intracorporeal continuous suturing is being employed in a growing number of minimally invasive procedures. However, there is a lack of adequate bench models for gaining proficiency in this complex task. The purpose of this study was to assess a novel simulation model for running suture. Methods: Participants were grouped as novice (LSN) or expert (LSE) at laparoscopic suturing based on prior experience and training level. A novel low-cost bench model was developed to simulate laparoscopic intracorporeal continuous closure of a defect. The primary outcome measured was time taken to complete the task. Videos were scored by independent raters for Global Operative Assessment of Laparoscopic Skills (GOALS). Results: Sixteen subjects (7 LSE and 9 LSN) participated in this study. LSE completed the task significantly faster than LSN (430 ± 107 vs 637 ± 164seconds, P ≤ .05). LSN scored higher on accuracy penalties than LSE (Median 30 vs 0, P ≤ .05). Mean GOALS score was significantly different between the 2 groups (LSE 20.64 ± 2.64 vs LSN 14.28 ± 1.94, P < .001) with good inter-rater reliability (ICC ≥ .823). An aggregate score using the formula: Performance Score = 1200-time(sec)-(accuracy penalties x 10) was significantly different between groups with a mean score of 741 ± 141 for LSE vs 285 ± 167 for LSN (P < .001). Conclusion A novel bench model for laparoscopic continuous suturing was able to significantly discriminate between laparoscopic experts and novices. This low-cost model may be useful for both training and assessment of laparoscopic continuous suturing proficiency.

“Omepralith”: A novel simulation model for training in sialoendoscopy

IntroductionThere are no previously described training models for learning or teaching how to remove lithiasis from the salivary ducts. Therefore, we present a new simulation model to enable us to faithfully represent the process of endoscopic lithiasis extraction by sialoendoscopy. Materials and methodsA simulation model was developed using a pig’s head, omeprazole spheres were used to simulate lithiasis in the various ducts of each salivary gland and a Dormia basket was used to train in extraction of the lithiasis model. ResultsTwenty-seven residents in training and/or young specialists were successfully trained in this technique using this model. Twenty-six (96.3%) considered the model useful for training in the use of baskets; all of them were able to capture the omeprazole sphere in the salivary duct. A satisfaction rate of 92.25 out of 100 points was obtained through an anonymous survey. ConclusionWe describe a novel simulation model using omeprazole spheres, which allows the surgeon to practice how to diagnose and treat obstructive pathology of the salivary glands in a risk-free environment guaranteeing the reproducibility of the technique in conditions similar to those of normal practice.

Successful Applications of Food-Assisted and -Simulated Training Model of Thyroid Radiofrequency Ablation.

BackgroundRadiofrequency ablation (RFA) for benign thyroid nodules is one kind of scarless treatment for symptomatic or cosmetic benign thyroid nodules. However, how to train RFA-naive physicians to become qualified operators for thyroid RFA is an important issue. Our study aimed to introduce a successful training model of thyroid RFA.Materials and MethodsWe used a food-assisted and -simulated training model of thyroid RFA. Chicken hearts were simulated into thyroid nodules, three-layer pork meats were simulated into peri-thyroid structure, and gel bottles were simulated into trachea, respectively. Successful training ablations were defined as chicken hearts that were fully cooked. After repeating training ablations of chicken hearts at least 100 times with the nearly 100% success rates for three young trainees, they served as the first assistant for the real procedures of thyroid RFA and then were qualified to perform thyroid RFA on real patients under the supervision of one experienced interventional radiologist.Results23 real patients who received RFA and follow-up at least 6 months after treatment were included in Linkou Chang Gung Memorial Hospital from January 1, 2020 to October 1, 2021. Three young endocrinologists performed thyroid RFA independently. The outcomes were volume reduction rate (VRR), major complications and minor complications. The median VRR at 12 months was 82.00%, two major complications were transient hoarseness, and three minor complications were wound pain. All complications were completely recovered within three days.ConclusionsFor young and RFA-native physicians without any basic skills of echo-guided intervention, this food-assisted and -simulated training model of thyroid RFA was useful for medical training and education.

Specialized microsurgery simulation training models for the neurosurgery residents

Introduction. Microvascular training constitutes a foundational element of many highly specialized surgical fields. This manuscript describes my experience (D.A. Devia) as a neurosurgical resident during the advanced microsurgical course guided by the senior author (Ye. Akelina) at the Microsurgery Training and Research laboratory, Dept of Orthopedic Surgery, Columbia University Irving Medical Center.Methods. The technical aspects of advanced vascular exercises performed in the microsurgery laboratory are reviewed and presented, accompanied by figures of each exercise accomplished.Conclusions. Microsurgery vascular training is an important tool in every cerebrovascular surgeon, or any other specialty interested microvascular procedures. The experience and exercises demonstrated in this paper are extremely useful for microvascular practice and should be included in any advanced course around the world for every surgeon interested in this field.

Simulation training in endoscopic skull base surgery: A scoping review.

ObjectiveProficiency in endoscopic endonasal skull base surgery requires both substantial baseline training and progressive lifelong learning. Endoscopic simulation models continue to evolve in an effort to optimize trainee education and preoperative preparation and improve surgical outcomes. The current scoping review systematically reviews all available literature and synthesizes the current paradigms of simulation models for endoscopic skull base surgery training and skill enhancement.MethodsIn accordance with Preferred Reporting Items for Systemic Review and Meta‐Analyses guidelines, we systematically searched PubMed, Embase, CINAHL, and Cochrane databases. Studies were categorized according to the type of simulation models investigated.ResultsWe identified 238 unique references, with 55 studies ultimately meeting inclusion criteria. Of these, 19 studies described cadaveric dissection models, 17 discussed three‐dimensional (3D) printed models, 14 examined virtual surgical planning and augmented reality‐based models, and five 5 articles described task trainers.ConclusionsThere are a wide variety of simulation models for endoscopic skull base surgery, including high‐fidelity cadaveric, virtual reality, and 3D‐printed models. These models are an asset for trainee development and preoperative surgical preparation.

A versatile low-cost, high-fidelity cystoscopy simulation model

The objective of this video is to describe the design of a versatile low-cost, high-fidelity water balloon model for OBGYN resident cystoscopy simulation training. In this video, we present a unique design for a life-like water balloon model for teaching cystoscopy to OBGYN residents. While water balloon models for cystoscopy have been described previously, limitations include: poor water seal, restricted urethral mobility, limited diversity in simulated tasks, and cost. We demonstrate step-by-step instructions on how to construct the model using materials found at most arts and crafts stores, for a total cost of about $46 per model. The design incorporates the use of a large 24-inch water balloon which may be customized to allow for a range of simulation tasks, including: identifying abnormal bladder lesions or markings, identifying presence of ureteral efflux, and practicing ureteral catheterization or stenting (via addition of simulated ureters). Unique to this bladder model, is the use of a foam housing system which stabilizes the water balloon bladder model and allows the trainee to focus on bimanual dexterity in manipulating the cystoscope. This innovative cystoscopy model serves as an easy, affordable way to incorporate cystoscopy simulation training in other OBGYN programs. Benefits of this model include: low cost, unique housing system that stabilizes the bladder model for ease-of-use, enhanced urethral mobility, easy in-out manipulation of the cystoscopy with minimal water leakage, and versatility in creating different training tasks by interchanging balloon models. Future studies will aim to compare the efficacy of this tool to other high-fidelity models in improving resident cystoscopic skills.

An Innovative Model for Microsurgical Training at a Spine Surgery Center in Mexico City

In a cost-effective and portable way, a novel method was developed to assist trainees in spinal surgery to gain and develop microsurgery skills, which will increase self-confidence. Residents at a spine surgery center were assessed before and after training on the effectiveness of a simulation training model. The participants who used the training model completed the exercise in less than 22 minutes, but none could do it in less than 30 minutes previously. The research team created a comprehensive model to train junior surgeons advanced spine microsurgery skills. The article contains valuable information for readers.

Congenital Heart Surgery Skill Training Using Simulation Models: Not an Option but a Necessity.

Congenital heart surgery (CHS) is technically demanding, and its training is extremely complex and challenging. Training of the surgeon’s technical skills has relied on a preceptorship format in which the trainees are gradually exposed to patients in the operating room under the close tutelage of senior staff surgeons. Training in the operating room is an inefficient process and the concept of a learning curve is no longer acceptable in terms of patient outcomes. The benefits of surgical simulation in training of congenital heart surgeons are well known and appreciated. However, adequate surgical simulation models and equipment for training have been scarce until the recent development of three-dimensionally (3D) printed models. Using comprehensive 3D printing and silicone-molding techniques, realistic simulation training models for most congenital heart surgical procedures have been produced. Newly developed silicone-molded models allow efficient CHS training in a stress-free environment with instantaneous feedback from the proctors and avoids risk to patients. The time has arrived when all congenital heart surgeons should consider surgical simulation training before progressing to real-life operating in a similar fashion to the aviation industry where all pilots are required to complete simulation training before flying a real aircraft. It is argued here that simulation training is not an option anymore but should be a mandatory component of CHS training.

A systematic review of facial plastic surgery simulation training models.

The coronavirus disease 2019 pandemic has led to a need for alternative teaching methods in facial plastics. This systematic review aimed to identify facial plastics simulation models, and assess their validity and efficacy as training tools. Literature searches were performed. The Beckman scale was used for validity. The McGaghie Modified Translational Outcomes of Simulation-Based Mastery Learning score was used to evaluate effectiveness. Overall, 29 studies were selected. These simulated local skin flaps (n = 9), microtia frameworks (n = 5), pinnaplasty (n = 1), facial nerve anastomosis (n = 1), oculoplastic procedures (n = 5), and endoscopic septoplasty and septorhinoplasty simulators (n = 10). Of these models, 14 were deemed to be high-fidelity, 13 low-fidelity and 2 mixed-fidelity. None of the studies published common outcome measures. Simulators in facial plastic surgical training are important. These models may have some training benefits, but most could benefit from further assessment of validity.

Compressed Sensing Image Reconstruction of Ultrasound Image for Treatment of Early Traumatic Myositis Ossificans of Elbow Joint by Electroacupuncture.

This article conducts a retrospective analysis of 500 patients with posttraumatic elbow dysfunction admitted to our department from March 2019 to September 2020. The average time from injury to operation is 11 months (2–20 months). We adopt a personalized treatment method to completely remove the hyperplastic adhesion tissue and heterotopic ossification around the joint, remove part of the joint capsule and ligament, and release it to achieve maximum function. After the operation, an external fixator was used to stabilize the loosened elbow joint, and the patient was guided to perform rehabilitation exercises with the aid of a hinged external fixator, and celecoxib was used to prevent heterotopic ossification. Mayo functional scoring system was used to evaluate the curative effect before and after surgery. The rapid realization of ultrasound imaging under the framework of compressed sensing is studied. Under the premise of ensuring the quality of ultrasound imaging reconstruction, the theory of ultrasound imaging is improved, and a plane wave acoustic scattering ultrasound echo model is established. On this basis, the theory of compressed sensing is introduced, the mathematical model of compressed sensing reconstruction is established, and the fast iterative shrinkage thresholding algorithm (FISTA) of compressed sensing reconstruction is improved to reduce the computational complexity and the number of iterations. This article uses FISTA directly to reconstruct medical ultrasound images, and the reconstruction results are not ideal. Therefore, a simulation model of FISTA training and testing was established using the standard image library. By adding different intensities of noise to all images in the image library, the influence of noise intensity on the quality of FISTA reconstructed images is analyzed, and it is found that the FISTA model has requirements for the quality of the images to be reconstructed and the training set images. In this paper, Rob's blind deconvolution restoration algorithm is used to preprocess the original ultrasound image. The clarity of the texture details of the restored ultrasound image is significantly improved, and the image quality is improved, which meets the above requirements. This paper finally formed a reconstruction model suitable for ultrasound images. The reconstruction strategy verified by the ultrasound images provided by the Institute of Ultrasound Imaging of a medical university has achieved a significant improvement in the quality of ultrasound images.

Intelligent Method of Supply Chain Circulation Industry Structure Based on Machine Learning

In the deepening of supply chain competition, whether the structure of supply chain industry is reasonable and scientific has been severely tested. For warehousing, purchase and distribution channels, and customers, it largely determines whether the structure of supply chain is stable and efficient. The rationality of structure can determine the value of supply chain. By analyzing these four levels, this paper judges whether the supply chain structure is reasonable; the judgment standard is based on the three popular machine learning models, Stochastic Forest, XGBoost, and Support Vector Machine. The three models are based on a large number of real data environments. Through data simulation and parameter optimization, four supply chain characteristics are put into the model for simulation training for many times, and the three error numbers of MAE, RMSE, and MAPE of the model are analyzed to judge the reliability of the model. On this basis, through the combination of models, it is determined that the average percentage error of the combination of the three models is higher than that of the other pairwise combinations, reaching 0.937, which completes the expectation of intelligent prediction of supply chain structure.