Search Results (13)

Background: Simulation-based laparoscopic training increasingly relies on portable, low-cost platforms that support home-based practice, but detailed descriptions of reproducible, do-it-yourself (DIY) trainers and their educational potential remain limited. Methods: We updated a low-budget laparoscopic simulator constructed from an inexpensive plastic container, wood components, a low-cost webcam, and plywood task pads modeled on Fundamentals of Laparoscopic Surgery (FLS) exercises. We then conducted informal qualitative usability testing in which 10 residents and 5 fellows from general surgery, gynecology, and urology used the simulator at home for one week and completed an eight-item feedback form plus free-text comments on assembly, ergonomics, realism, and educational value. Results: All participants successfully assembled and used the simulator; most described set-up as easy or intuitive, reported adequate image quality and lighting, and considered the platform useful for practicing depth perception, bimanual coordination, and cutting and suturing tasks. Feedback emphasized low cost, portability, and cross-specialty applicability, with only minor suggestions such as adjustable camera height or increased base weight. Conclusions: This DIY laparoscopic simulator could be assembled and used in a home-based setting, and trainees reported favorable usability and perceived educational value. More structured validation studies addressing face, content, and construct validity are needed to define its potential role within contemporary surgical curricula. Full article

Background/Objectives: Minimally invasive surgical techniques require precise psychomotor skills distinct from those used in traditional surgery. Simulation-based training is essential for skill acquisition without patient risk. This study compared two prevalent training methodologies: the Origami-Box-Folding Exercise (OBFE) and Outside-the-Box Knot-Tying Exercise (OBTKE). Methods: In this prospective cohort study, 84 surgical residents (34 OBFE, 50 OBTKE) from General Surgery, Obstetrics–Gynecology, and Urology underwent pre- and post-intervention assessments. Performance metrics included completion times for surgical and square knots, out-of-visual-field instrument instances, needle drops, tissue lesions, and self-assessment via 5-point Likert scales. Behavioral Observation Research Interactive Software quantified performance objectively. Data were analyzed using paired Wilcoxon signed-rank tests for within-group comparisons and Wilcoxon rank-sum tests for between-group differences. Results: Both methodologies significantly improved surgical knot-tying performance. Surgical knot completion time decreased by 316.65 s (OBFE) and 360 s (OBTKE) with no significant between-group difference (p = 0.96). For square knots, OBFE exhibited significantly greater improvement with a 278 s reduction versus 169 s for OBTKE (p = 0.02). Technical errors decreased similarly in both groups. OBFE showed greater improvement in self-rated surgical knot knowledge (p = 0.03) and larger effect sizes for self-assessment measures (0.84–0.87 vs. 0.77–0.85). Conclusions: Both OBFE and OBTKE effectively improve laparoscopic skills in surgical residents. OBFE is particularly beneficial for square knot efficiency and self-rated knowledge enhancement, while OBTKE focuses on targeted knot-tying training. These findings support the implementation of both methodologies in surgical education, potentially in sequence—OBFE for foundational skills and OBTKE for advanced refinement. Full article

The study aimed to differentiate experts from novices in laparoscopic surgery tasks using electroencephalogram (EEG) topographic features. A microstate-based common spatial pattern (CSP) analysis with linear discriminant analysis (LDA) was compared to a topography-preserving convolutional neural network (CNN) approach. Expert surgeons (N = 10) and novice medical residents (N = 13) performed laparoscopic suturing tasks, and EEG data from 8 experts and 13 novices were analysed. Microstate-based CSP with LDA revealed distinct spatial patterns in the frontal and parietal cortices for experts, while novices showed frontal cortex involvement. The 3D CNN model (ESNet) demonstrated a superior classification performance (accuracy > 98%, sensitivity 99.30%, specificity 99.70%, F1 score 98.51%, MCC 97.56%) compared to the microstate based CSP analysis with LDA (accuracy ~90%). Combining spatial and temporal information in the 3D CNN model enhanced classifier accuracy and highlighted the importance of the parietal–temporal–occipital association region in differentiating experts and novices. Full article

Veterinary minimally invasive surgery (MIS) has experienced notable growth in recent years, yet the availability of specialized training tools remains limited and not readily accessible to practitioners worldwide. While borrowing simulators from human medicine practices suffices for acquiring fundamental laparoscopic skills, it proves inadequate when addressing procedure-specific nuances. Veterinary professionals are now taking steps to create simulators tailored to their patients, although the validation process can be time-consuming. Consequently, the availability of advanced laparoscopic simulators for veterinary training remains scarce. The present study aims to highlight custom-made simulators. A comprehensive search across five databases was conducted to uncover the simulators documented from 2010 to 2022. A total of five simulators emerged from this search, with four grounded in a canine model and only one in an equine model. These models underwent validation and were found to be effective in training surgeons for their designated tasks. The findings underscore a limited array of simulators, predominantly catering to two species (horses and dogs). Considering these findings, it is evident that further research is imperative to create laparoscopic simulators capable of facilitating advanced veterinary training. This would enable the continued evolution of surgical techniques across diverse species, including ruminants, small mammals, and non-mammalian animals. Full article

This article describes the development of a flexible surgical stapler mechanism, which serves as a fundamental tool for laparoscopic rectal cancer surgery, addressing the challenges posed by difficult types of accessibility using conventional instruments. The design of this mechanism involves the incorporation of a stacked tensegrity structure, in which a flexible beam serves as the central spine. To assess the stapler’s range of operation, an analysis of the workspace was conducted by examining collaborative Computed Tomography (CT) scan data obtained from different perspectives (Axial, Coronal, and Sagittal planes) at various intervals. By synthesizing kinematic equations, Hooke’s law was employed, taking into account rotational springs and bending moments. This allowed for precise control of the mechanism’s movements during surgical procedures in the rectal region. Additionally, the study examined the singularities and simulations of the tensegrity mechanism, considering the influential eyelet friction parameter. Notably, the research revealed that this friction parameter can alter the mechanism’s curvature, underscoring the importance of accurate analysis. To establish a correlation between the virtual and physical models, a preliminary design was presented, facilitating the identification of the friction parameter. Full article

Minimal invasive surgery, more specifically laparoscopic surgery, is an active topic in the field of research. The collaboration between surgeons and new technologies aims to improve operation procedures as well as to ensure the safety of patients. An integral part of operating rooms modernization is the real-time communication between the surgeon and the data gathered using the numerous devices during surgery. A fundamental tool that can aid surgeons during laparoscopic surgery is the recognition of the different phases during an operation. Current research has shown a correlation between the surgical tools utilized and the present phase of surgery. To this end, a robust surgical tool classifier is desired for optimal performance. In this paper, a deep learning framework embedded with a custom attention module, the P-CSEM, has been proposed to refine the spatial features for surgical tool classification in laparoscopic surgery videos. This approach utilizes convolutional neural networks (CNNs) integrated with P-CSEM attention modules at different levels of the architecture for improved feature refinement. The model was trained and tested on the popular, publicly available Cholec80 database. Results showed that the attention integrated model achieved a mean average precision of 93.14%, and visualizations revealed the ability of the model to adhere more towards features of tool relevance. The proposed approach displays the benefits of integrating attention modules into surgical tool classification models for a more robust and precise detection. Full article

The purpose of the Fundamentals of Laparoscopic Surgery (FLS) training is to develop laparoscopic surgery skills by using simulation experiences. Several advanced training methods based on simulation have been created to enable training in a non-patient environment. Laparoscopic box trainers—cheap, portable devices—have been deployed for a while to offer training opportunities, competence evaluations, and performance reviews. However, the trainees must be under the supervision of medical experts who can evaluate their abilities, which is an expensive and time-consuming operation. Thus, a high level of surgical skill, determined by assessment, is necessary to prevent any intraoperative issues and malfunctions during a real laparoscopic procedure and during human intervention. To guarantee that the use of laparoscopic surgical training methods results in surgical skill improvement, it is necessary to measure and assess surgeons’ skills during tests. We used our intelligent box-trainer system (IBTS) as a platform for skill training. The main aim of this study was to monitor the surgeon’s hands’ movement within a predefined field of interest. To evaluate the surgeons’ hands’ movement in 3D space, an autonomous evaluation system using two cameras and multi-thread video processing is proposed. This method works by detecting laparoscopic instruments and using a cascaded fuzzy logic assessment system. It is composed of two fuzzy logic systems executing in parallel. The first level assesses the left and right-hand movements simultaneously. Its outputs are cascaded by the final fuzzy logic assessment at the second level. This algorithm is completely autonomous and removes the need for any human monitoring or intervention. The experimental work included nine physicians (surgeons and residents) from the surgery and obstetrics/gynecology (OB/GYN) residency programs at WMU Homer Stryker MD School of Medicine (WMed) with different levels of laparoscopic skills and experience. They were recruited to participate in the peg-transfer task. The participants’ performances were assessed, and the videos were recorded throughout the exercises. The results were delivered autonomously about 10 s after the experiments were concluded. In the future, we plan to increase the computing power of the IBTS to achieve real-time performance assessment. Full article

Background: Enhanced or accelerating recovery programs have significantly reduced hospital length stay after elective colorectal interventions. Our work aims at reporting an initial experience with ambulatory laparoscopic colectomy (ALC) to assess the criteria of discharge and outcomes. Methods: Between 2006 and 2016, data regarding patients having benefited from elective laparoscopic colorectal resections in two main centres in the United Kingdom have been analysed. Both benign and malignant pathologies were included. A standardised enhanced recovery program was performed for each patient, except epidural analgesia was replaced with single shot spinal infiltration. Patients were followed up through a telephone call system by a nurse. Short-term clinical outcomes were analysed. Results: A total of 833 patients were included and 51 (6.1%) were discharged within 24 h following surgery. Of these, 4 out of 51 (7.8%) patients came back hospital within 30 days of discharge; 2 (3.9%) required reoperation (Small bowel obstruction and wound abscess drainage). Conclusions: This study highlights that a 24-h discharge following elective laparoscopic colorectal interventions seems safe and feasible in selected patients. Although challenging to achieve, a standardised approach to laparoscopic surgery in combination with strict adherence to an enhanced recovery protocol are the fundamental elements of this path. Full article

Background: The implementation of robotics in liver surgery offers several advantages compared to conventional open and laparoscopic techniques. One major advantage is the enhanced degree of freedom at the tip of the robotic tools compared to laparoscopic instruments. This enables excellent vessel control during inflow and outflow dissection of the liver. Parenchymal transection remains the most challenging part during robotic liver resection because currently available robotic instruments for parenchymal transection have several limitations and there is no standardized technique as of yet. We established a new strategy and share our experience. Methods: We present a novel technique for the transection of liver parenchyma during robotic surgery, using three devices (3D) simultaneously: monopolar scissors and bipolar Maryland forceps of the robot and laparoscopic-guided waterjet. We collected the perioperative data of twenty-eight patients who underwent this procedure for minor and major liver resections between February 2019 and December 2020 from the Magdeburg Registry of minimally invasive liver surgery (MD-MILS). Results: Twenty-eight patients underwent robotic-assisted 3D parenchyma dissection within the investigation period. Twelve cases of major and sixteen cases of minor hepatectomy for malignant and non-malignant cases were performed. Operative time for major liver resections (≥ 3 liver segments) was 381.7 (SD 80.6) min vs. 252.0 (70.4) min for minor resections (p < 0.01). Intraoperative measured blood loss was 495.8 (SD 508.8) ml for major and 256.3 (170.2) ml for minor liver resections (p = 0.090). The mean postoperative stay was 13.3 (SD 11.1) days for all cases. Liver surgery-related morbidity was 10.7%, no mortalities occurred. We achieved an R0 resection in all malignant cases. Conclusions: The 3D technique for parenchyma dissection in robotic liver surgery is a safe and feasible procedure. This novel method offers an advanced locally controlled preparation of intrahepatic vessels and bile ducts. The combination of precise extrahepatic vessel handling with the 3D technique of parenchyma dissection is a fundamental step forward to the standardization of robotic liver surgery for teaching purposing and the wider adoption of robotic hepatectomy into routine patient care. Full article

Expertise in laparoscopic surgery is realized through both manual dexterity and efficient eye movement patterns, creating opportunities to use gaze information in the educational process. To better understand how expert gaze behaviors are acquired through deliberate practice of technical skills, three surgeons were assessed and five novices were trained and assessed in a 5-visit protocol on the Fundamentals of Laparoscopic Surgery peg transfer task. The task was adjusted to have a fixed action sequence to allow recordings of dwell durations based on pre-defined areas of interest (AOIs). Trained novices were shown to reach more than 98% (M = 98.62%, SD = 1.06%) of their behavioral learning plateaus, leading to equivalent behavioral performance to that of surgeons. Despite this equivalence in behavioral performance, surgeons continued to show significantly shorter dwell durations at visual targets of current actions and longer dwell durations at future steps in the action sequence than trained novices (ps ≤ .03, Cohen’s ds > 2). This study demonstrates that, while novices can train to match surgeons on behavioral performance, their gaze pattern is still less efficient than that of surgeons, motivating surgical training programs to involve eye tracking technology in their design and evaluation. Full article

Geography is one of the key drivers of the significant variation in the etiopathogenic profile and prevalence of type 2 diabetes mellitus (T2DM) and obesity, therefore geographically based data are fundamental for implementing the appropriate interventions. Presently, the selection criteria of T2DM and obesity patients for laparoscopic sleeve gastrectomy (LSG) have not reached a worldwide consensus—highlighting the need for sharing experts’ guidance in the preoperative evaluation, choice of the interventional procedure, perioperative management and patient long-term care. The aim of the current study was to evaluate the impact of LSG on T2DM (T2DM) remission in Romanian obese male patients, based on a multiparametric, prospective investigation. We have conducted a randomized controlled study on 41 obese male participants with the body mass index (BMI) ≥ 30 kg/m², aged 30–65 years, which were randomly divided in two study groups: one receiving conventional treatment and the second undergoing LSG. The clinical and anthropometrical parameters, resting metabolic rate, general biochemical status, adipocytes profile, gastrointestinal hormones levels, proinflammatory, oxidant and antioxidant profiles were determined at three time points: V1 (baseline), V2 (after six months) and V3 (after 12 months). Glycated hemoglobin (HbA1c), blood glucose levels, BMI, weight, visceral fat level, HDL-cholesterol, incretin hormones, proinflammatory and the oxidative stress status were significantly improved in the LSG versus conventional treatment group. This is the first study reporting on the evaluation of metabolic surgery impact on Romanian obese male patients with T2DM. Our results confirm that LSG could contribute to T2DM remission in patients with diabesity, but this beneficial effect seems to be critically influenced by the duration of T2DM rather than by the obesity status. Our results show that, in addition to the parameters included in the prediction algorithm, the proinsulin levels, proinsulin/insulin ratio and the visceral fat percentage could bring added value to the assessment of metabolic status. Full article

Reduced depth perception due to two-dimensional (2D) visualization of a three-dimensional (3D) space represents a main challenge in acquiring basic laparoscopic skills (BLS); 3D visualization might increase training efficiency. This study aimed to assess whether BLS training on a standard box trainer using 2D is at least equally effective compared to 3D. Medical students were randomized to training of Fundamentals of Laparoscopic Surgery (FLS) tasks using either 2D or 3D for four weeks. Baseline and post-training tests were performed using the assigned visualization modality. Data of 31 participants were analyzed (n = 16 2D, n = 15 3D). Baseline test scores did not differ significantly between groups; only at the peg transfer task and total scores, the 3D group performed better than the 2D group. All scores improved significantly in both groups, with post training scores not differing significantly between groups. Non-inferiority of 2D compared to 3D was demonstrated for total score improvement and improvement in all individual FLS tasks except for suturing with extracorporeal knot tying. Post training test performance did not change significantly when changing to the unfamiliar modality. In conclusion, BLS training using standard 2D is at least equally effective as with 3D, without significant disadvantages when changing to the other modality. Full article

Existing laparoscopic surgery systems use a single laparoscope to visualize the surgical area with a limited field of view (FoV), necessitating maneuvering the laparoscope to search a target region. In some cases, the laparoscope needs to be moved from one surgical port to another one to detect target organs. These maneuvers would cause longer surgical time and degrade the efficiency of operation. We hypothesize that if an array of cameras can be deployed to provide a stitched video with an expanded FoV and small blind spots, the time required to perform multiple tasks at different sites can be significantly reduced. We developed a micro-camera array that can enlarge the FoV and reduce blind spots between the cameras by optimizing the angle of cameras. The video stream of this micro-camera array was designed to be processed in real-time to provide a stitched video with the expanded FoV. We mounted this micro-camera array to a Fundamentals of Laparoscopic Surgery (FLS) laparoscopic trainer box and designed an experiment to validate the hypothesis above. Surgeons, residents, and a medical student were recruited to perform a modified bean drop task, and the completion time was compared against that measured using a traditional single-camera laparoscope. It was observed that utilizing the micro-camera array, the completion time of the modified bean drop task was $203\pm 55$ s while using the laparoscope, the completion time was $245\pm 114$ s, with a p-value of 0.00097. It is also observed that the benefit of using an FoV-expanded camera array does not diminish for subjects who are more experienced. This test provides convincing evidence and validates the hypothesis that expanded FoV with small blind spots can reduce the operation time for laparoscopic surgical tasks. Full article