Search Results (71)

Background/Objectives: Colorectal anastomotic leak (CAL) is one of the most severe postoperative complications in colorectal surgery, impacting patient morbidity and mortality. Current risk assessment methods rely on clinical and intraoperative factors, but no real-time predictive tool exists. This study aimed to develop an artificial intelligence model based on intraoperative laparoscopic recording of the anastomosis for CAL prediction. Methods: A convolutional neural network (CNN) was trained with annotated frames from colorectal surgery videos across three international high-volume centers (Instituto Português de Oncologia de Lisboa, Hospital das Clínicas de Ribeirão Preto, and Royal Liverpool University Hospital). The dataset included a total of 5356 frames from 26 patients, 2007 with CAL and 3349 showing normal anastomosis. Four CNN architectures (EfficientNetB0, EfficientNetB7, ResNet50, and MobileNetV2) were tested. The models’ performance was evaluated using their sensitivity, specificity, accuracy, and area under the receiver operating characteristic (AUROC) curve. Heatmaps were generated to identify key image regions influencing predictions. Results: The best-performing model achieved an accuracy of 99.6%, AUROC of 99.6%, sensitivity of 99.2%, specificity of 100.0%, PPV of 100.0%, and NPV of 98.9%. The model reliably identified CAL-positive frames and provided visual explanations through heatmaps. Conclusions: To our knowledge, this is the first AI model developed to predict CAL using intraoperative video analysis. Its accuracy suggests the potential to redefine surgical decision-making by providing real-time risk assessment. Further refinement with a larger dataset and diverse surgical techniques could enable intraoperative interventions to prevent CAL before it occurs, marking a paradigm shift in colorectal surgery. Full article

Background/Objectives: The extensive use of computed tomography (CT) has led to a significant increase in the detection of small and non-palpable pulmonary nodules, necessitating the use of invasive methods for definitive diagnosis. Video-assisted thoracoscopic surgery (VATS) has become the preferred procedure for nodule resections; however, intraoperative localization remains challenging, especially for deep or subsolid lesions. This study explores whether SPECT/CT improves the technical and clinical outcomes of radio-guided occult lesion localization (ROLL) before uniportal video-assisted thoracoscopic surgery (u-VATS). Methods: This is a retrospective study involving consecutive patients referred for the resection of pulmonary nodules who underwent CT-guided ROLL followed by u-VATS between September 2017 and December 2024. From January 2023, SPECT/CT was systematically added after planar imaging. The cohort was divided into a planar group and a planar + SPECT/CT group. The inclusion criteria involved nodules sized ≤ 2 cm, with ground glass or solid characteristics, located at a depth of <6 cm from the pleural surface. ^99mTc-MAA injected activity, timing, the classification of planar and SPECT/CT image findings (focal uptake, multisite with focal uptake, multisite without focal uptake), spillage, and post-procedure complications were evaluated. Statistical analysis was performed, with continuous data expressed as the median and categorical data as the number. Comparisons were made using chi-square tests for categorical variables and the Mann–Whitney U test for procedural duration. Cohen’s kappa coefficient was calculated to assess agreement between imaging modalities. Results: In total, 125 patients were selected for CT-guided radiotracer injection followed by uniportal-VATS. The planar group and planar + SPECT/CT group comprised 60 and 65 patients, respectively. Focal uptake was detected in 68 (54%), multisite with focal uptake in 46 (36.8%), and multisite without focal uptake in 11 patients (8.8%). In comparative analyses between planar and SPECT/CT imaging in 65 patients, 91% exhibited focal uptake, revealing significant differences in classification for 40% of the patients. SPECT/CT corrected the classification of 23 patients initially categorized as multisite with focal uptake to focal uptake, improving localization accuracy. The mean procedure duration was 39 min with SPECT/CT. Pneumothorax was more frequently detected with SPECT/CT (43% vs. 1.6%). The intraoperative localization success rate was 96%. Conclusions: SPECT/CT imaging in the ROLL procedure for detecting pulmonary nodules before u-VATs demonstrates a significant advantage in reclassifying radiotracer positioning compared to planar imaging. Considering its limited impact on surgical success rates and additional procedural time, SPECT/CT should be reserved for technically challenging cases. Larger sample sizes, multicentric and prospective randomized studies, and formal cost–utility analyses are warranted. Full article

Background: Lung cancer represents a significant health concern, particularly among the elderly population. With global life expectancy increasing, the number of very elderly patients is rising. Robotic-assisted thoracic surgery (RATS) offers potential advantages over both traditional and video-assisted thoracoscopic surgery (VATS). This study aims to evaluate the feasibility and safety of RATS in very elderly patients (VEP) diagnosed with lung cancer. Methods: This retrospective study included patients who underwent major lung resections using RATS between 2015 and 2022 at two specialized centers. Patients were divided into very elderly patients (VEP, ≥80 years) and non-elderly patients (NEP, <80 years). Demographic, clinical, and surgical data were analyzed. Propensity score matching (PSM) at a 1:3 ratio was performed using clinically relevant variables that were significantly different at baseline to balance the two groups. Results: This study included 340 patients: 28 VEP and 312 NEP. Before PSM, VEP had higher ASA scores, more advanced disease stages, and increased comorbidities. Despite these differences, postoperative outcomes were comparable. Complications occurred in 42.9% of VEP and 29.8% of NEP (p = 0.16), but grade III complications were observed in 14.3% of VEP and 6.4% of NEP (p = 0.12), and grade IV complications were observed in 0% of VEP and 0.9% of NEP (p = not estimable). The mean hospital stay was 4 days in both groups (p = 0.99). Even after PSM (26 VEP vs. 71 NEP), complications, hospital stay, and 90-day mortality (3.9% in VEP, 0% in NEP) were similar. Multivariable analysis identified reduced FEV1 as a predictor of complications, while pathological stage I and lobectomy were associated with a decreased risk of complications, both before and after PSM. Conclusions: RATS is a safe and feasible option for selected very elderly patients with lung cancer, yielding outcomes comparable to younger patients. Full article

The integration of Context-Aware Systems (CASs) in Future Operating Rooms (FORs) aims to enhance surgical workflows and outcomes through real-time data analysis. CASs require accurate classification of surgical tools, enabling the understanding of surgical actions. This study proposes a novel deep learning approach for surgical tool classification based on combining convolutional neural networks (CNNs), Feature Fusion Modules (FFMs), Squeeze-and-Excitation (SE) networks, and Bidirectional long-short term memory (BiLSTM) networks to capture both spatial and temporal features in laparoscopic surgical videos. We explored different modeling scenarios with respect to the location and number of SE blocks for multi-label surgical tool classification in the Cholec80 dataset. Furthermore, we analyzed a single-label surgical tool classification model using a simplified and computationally less expensive architecture compared to the multi-label problem setting. The single-label classification model showed an improved overall performance compared to the proposed multi-label classification model due to the increased complexity of identifying multiple tools simultaneously. Nonetheless, our results demonstrated that the proposed CNN-SE-FFM-BiLSTM multi-label model achieved competitive performance to state-of-the-art methods with excellent performance in detecting tools with complex usage patterns and in minority classes. Future work should focus on optimizing models for real-time applications, and broadening dataset evaluations to improve performance in diverse surgical environments. These improvements are crucial for the practical implementation of such models in CASs, ultimately aiming to enhance surgical workflows and patient outcomes in FORs. Full article

Tracking the precise movement of surgical tools is essential for enabling automated analysis, providing feedback, and enhancing safety in robotic-assisted surgery. Accurate 3D tracking of surgical tooltips is challenging to implement when using monocular videos due to the complexity of extracting depth information. We propose a pipeline that combines state-of-the-art foundation models—Florence2 and Segment Anything 2 (SAM2)—for zero-shot 2D localization of tooltip coordinates using a monocular video input. Localization predictions are refined through supervised training of the YOLOv11 segmentation model to enable real-time applications. The depth estimation model Metric3D computes the relative depth and provides tooltip camera coordinates, which are subsequently transformed into world coordinates via a linear model estimating rotation and translation parameters. An experimental evaluation on the JIGSAWS Suturing Kinematic dataset achieves a 3D Average Jaccard score on tooltip tracking of 84.5 and 91.2 for the zero-shot and supervised approaches, respectively. The results validate the effectiveness of our approach and its potential to enhance real-time guidance and assessment in robotic-assisted surgical procedures. Full article

Artificial intelligence (AI) has shown its potential to advance applications in various medical fields. One such area involves developing integrated AI-based systems to assist in laparoscopic surgery. Surgical tool detection and phase recognition are key components to develop such systems, and therefore, they have been extensively studied in recent years. Despite significant advancements in this field, previous image-based methods still face many challenges that limit their performance due to complex surgical scenes and limited annotated data. This study proposes a novel deep learning approach for classifying and localizing surgical tools in laparoscopic surgeries. The proposed approach uses a self-supervised learning algorithm for surgical tool classification followed by a weakly supervised algorithm for surgical tool localization, eliminating the need for explicit localization annotation. In particular, we leverage the Bidirectional Encoder Representation from Image Transformers (BEiT) model for tool classification and then utilize the heat maps generated from the multi-headed attention layers in the BEiT model for the localizing of these tools. Furthermore, the model incorporates class weights to address the class imbalance issue resulting from different usage frequencies of surgical tools in surgeries. Evaluated on the Cholec80 benchmark dataset, the proposed approach demonstrated high performance in surgical tool classification, surpassing previous works that utilize both spatial and temporal information. Additionally, the proposed weakly supervised learning approach achieved state-of-the-art results for the localization task. Full article

Background/Objectives: Primary hyperparathyroidism (PHPT) is a prevalent endocrine disorder, with ectopic mediastinal parathyroid adenomas accounting for up to 30% of cases, posing significant diagnostic and surgical challenges. While traditional management relies on invasive procedures, minimally invasive techniques such as video-assisted thoracoscopic surgery (VATS) have emerged as viable alternatives. This study addresses a gap in the current literature by presenting our experience with VATS for mediastinal ectopic parathyroid adenomas, particularly in underreported retrotracheal/paraesophageal locations. By integrating a retrospective case series with a systematic literature review, we highlight evolving surgical strategies and their implications for patient outcomes in anatomically complex cases. Methods: A retrospective analysis was conducted over a three-year period on patients diagnosed with mediastinal ectopic parathyroid adenomas. Data on demographic characteristics, preoperative imaging, surgical techniques, intraoperative findings, and postoperative outcomes were collected. This study primarily compared the outcomes of VATS with those of traditional thoracotomy, with a focus on surgical success, complication rates, and length of hospital stay. Results: Six patients underwent surgical resection for mediastinal ectopic parathyroid adenomas (two intrahymic and four retrotracheal/paraesophgeal). VATS was the preferred approach in all cases, with one patient requiring conversion to thoracotomy due to challenging vascular anatomy. Surgical success, defined as the normalization of postoperative serum calcium levels, was achieved in all cases. The median operative time was 80 min, and the mean hospital stay was 6.25 days. One patient developed transient postoperative hypocalcemia, necessitating supplementation. No major surgical complications were observed. Conclusions: This study supports VATS as a safe and effective approach for mediastinal ectopic parathyroid adenoma resection, offering reduced morbidity and shorter recovery times compared to traditional open surgery. The findings align with emerging evidence advocating for minimally invasive techniques in complex mediastinal surgeries. Full article

Introduction: Consent-taking for surgery evolved from a historical paternalistic approach to informed consent in the mid-20th century. Modern healthcare models prioritize patient-centric care, and the use of multimedia tools may overcome challenges such as language barriers and complex medical surgical steps. This study evaluates the impact of an educational video on patient satisfaction for those undergoing percutaneous nephrolithotomy (PCNL), a procedure where explaining complexities verbally can be challenging. Materials and Methods: A randomized control trial was conducted at a tertiary care center in India from July 2022 to April 2024. A total of 232 adult patients scheduled for PCNL were randomly assigned to a study group (Group A) or a control group (Group B). Group A viewed an educational video about PCNL, while Group B provided standard written consent. The video, presented in patients’ native languages, covered procedural details, potential outcomes, and post-operative care. Patient satisfaction was assessed using a 10-question questionnaire at discharge, with scores ranging from one (poor) to five (best). Statistical analysis was performed using SPSS software to compare outcomes between the two groups. Results: The study found that Group A exhibited significantly higher satisfaction compared to Group B across all domains. Group A demonstrated a better understanding of the procedure, improved knowledge of post-operative care, reduced anxiety, and a greater awareness of potential complications. Specifically, the mean satisfaction scores for Group A were higher in understanding the procedure (13.15 vs. 10.00), post-operative care (8.46 vs. 6.84), and overall anxiety (8.65 vs. 6.96). The video also improved patients’ comprehension regarding potential complications and the need for further procedures. Complication rates and hospital stay durations were similar between both groups. Discussion: The educational video significantly enhanced patient satisfaction and the understanding of PCNL. This multimedia approach provided a consistent, clear explanation of the procedure, which improved patient comprehension and reduced anxiety, irrespective of literacy levels. These findings support the integration of video-assisted consent in pre-operative education to enhance patient engagement and satisfaction. Conclusions: The use of an educational video for consent in PCNL improves patient understanding and satisfaction. This method effectively complements traditional consent processes, providing a valuable tool for patient education in complex procedures. Full article

OBJECTIVE. The optimal surgical approach for thymoma resection is still an object of debate. The increasing experience in robotic-assisted thoracic surgery (RATS) has led to the progressive affirmation of this technique as a valid alternative to Sternotomy, Thoracotomy and Video-Assisted Thoracic Surgery (VATS) in this setting. The present study aims to compare the post-operative and short-term results of RATS Thymectomy for thymoma with those of other main surgical approaches (sternotomy, thoracotomy and VATS) from a high-volume single center. METHODS. Between May 2021 and September 2023, 40 consecutive patients underwent RATS Thymectomy for stage I to limited-stage III thymoma in our center. Three homogenous groups of patients who received thymoma resection through main alternative approaches (sternotomy, thoracotomy, VATS) over the last 5 years, were identified in order to perform a comparative analysis. Data including surgery duration, associated resections, conversion rate, overall morbidity, tumor size, radicality of resection, post-operative pain, length of hospital stay and cosmetic results were retrospectively collected and compared between the RATS and each control group. RESULTS. Mean tumor size was higher in the sternotomy group, but not significantly. The mean operative time of RATS interventions was significantly lower than that of sternotomy and VATS. It was significantly shorter compared to thoracotomy if excluding docking-undocking time. A higher rate of associated adjacent structures resection was reported in the sternotomy group (p = 0.005). Conversion rate was significantly higher in the VATS group (p = 0.026) compared to RATS. Post-operative pain at 24 and 48 h was significantly lower in the RATS group compared to the others. Improved cosmetics results were reported after RATS compared to sternotomy (p = 0.0001) and thoracotomy (p = 0.001) groups, with a trend towards better results compared to VATS (p = 0.05). Length of hospital stay was shorter in the RATS group with a significant difference vs. the sternotomy group (p < 0.001). CONCLUSIONS. These results from a single center confirm the safety and efficacy of RATS for the treatment of limited stage thymoma. An advantage in terms of operative outcomes, post-operative pain, cosmetic results and hospital stay was observed if compared to the alternative approaches. The short-term oncologic outcome was excellent based on the high complete resection rate of the tumor. Full article

Surgical data analysis is crucial for developing and integrating context-aware systems (CAS) in advanced operating rooms. Automatic detection of surgical tools is an essential component in CAS, as it enables the recognition of surgical activities and understanding the contextual status of the procedure. Acquiring surgical data is challenging due to ethical constraints and the complexity of establishing data recording infrastructures. For machine learning tasks, there is also the large burden of data labelling. Although a relatively large dataset, namely the Cholec80, is publicly available, it is limited to the binary label data corresponding to the surgical tool presence. In this work, 15,691 frames from five videos from the dataset have been labelled with bounding boxes for surgical tool localisation. These newly labelled data support future research in developing and evaluating object detection models, particularly in the laparoscopic image data analysis domain. Full article

Purpose: Augmented reality (AR) may allow vitreoretinal surgeons to leverage microscope-integrated digital imaging systems to analyze and highlight key retinal anatomic features in real time, possibly improving safety and precision during surgery. By employing convolutional neural networks (CNNs) for retina vessel segmentation, a retinal coordinate system can be created that allows pre-operative images of capillary non-perfusion or retinal breaks to be digitally aligned and overlayed upon the surgical field in real time. Such technology may be useful in assuring thorough laser treatment of capillary non-perfusion or in using pre-operative optical coherence tomography (OCT) to guide macular surgery when microscope-integrated OCT (MIOCT) is not available. Methods: This study is a retrospective analysis involving the development and testing of a novel image-registration algorithm for vitreoretinal surgery. Fifteen anonymized cases of pars plana vitrectomy with epiretinal membrane peeling, along with corresponding preoperative fundus photographs and optical coherence tomography (OCT) images, were retrospectively collected from the Mayo Clinic database. We developed a TPU (Tensor-Processing Unit)-accelerated CNN for semantic segmentation of retinal vessels from fundus photographs and subsequent real-time image registration in surgical video streams. An iterative patch-wise cross-correlation (IPCC) algorithm was developed for image registration, with a focus on optimizing processing speeds and maintaining high spatial accuracy. The primary outcomes measured were processing speed in frames per second (FPS) and the spatial accuracy of image registration, quantified by the Dice coefficient between registered and manually aligned images. Results: When deployed on an Edge TPU, the CNN model combined with our image-registration algorithm processed video streams at a rate of 14 FPS, which is superior to processing rates achieved on other standard hardware configurations. The IPCC algorithm efficiently aligned pre-operative and intraoperative images, showing high accuracy in comparison to manual registration. Conclusions: This study demonstrates the feasibility of using TPU-accelerated CNNs for enhanced AR in vitreoretinal surgery. Full article

Background and Objectives: The objective of this study was to assess the efficient use of advanced energy devices by examining the impact of their usage frequency on surgical outcomes of total laparoscopic hysterectomies. Materials and Methods: A retrospective study was conducted between 2020 and 2023 by a single surgeon. The patients’ medical records and surgical videos were reviewed. Cases were categorized into three groups based on the frequency of usage of advanced energy devices: Group 1 (≤10 uses), Group 2 (11–20 uses), and Group 3 (≥21 uses). The differences in blood loss, surgery time, and surgical outcomes among these groups were analyzed. This study was conducted as a single-center retrospective analysis. It included 126 patients who underwent total laparoscopic hysterectomy and provided informed consent for video recording. To evaluate the usage of advanced energy devices, anonymized surgical videos were reviewed, and outcomes were analyzed based on the frequency of usage of advanced energy devices. Results: The time required for surgery differed significantly among the three groups (p = 0.006). However, no significant differences were observed in the changes in hemoglobin levels or estimated blood loss (p = 0.255 and 0.053, respectively). Additionally, the application of hemostatic agents, the need for intraoperative or postoperative transfusions, and the use of intravenous hemostatic agents postoperatively showed no notable variation. Complication rates, including rates of hematoma, urinary tract injury, gastrointestinal injury, and infections necessitating reoperation, were also comparable. Conclusions: The findings suggest that the prudent and strategic use of advanced energy devices, rather than their frequent application, may improve surgical efficiency without increasing the risk of complications. Full article

Background/Objectives: Indocyanine green video angiography, integrated into the operative microscope, is frequently used in cerebrovascular surgery. This technology is often preferred, for cost or availability, to Doppler or intraoperative DSA (digital subtraction angiography). With the same assumption it was possible, in our preliminary experience, to partially vicariate the aforementioned devices using the SPY mode of the Stryker endoscope; it allowed the visualization of fluorescence in high definition. Methods: A retrospective analysis was conducted on a series of five patients suffering from cerebral aneurysm or AVM (arteriovenous malformation) who underwent, during the last year, surgical treatment with the aid of the microscope supported by the Stryker endoscope in the SPY mode for the visualization of the fluorescence emitted by indocyanine green. Results: All aneurysms were completely excluded from the cerebrovascular circulation in the absence of residues in the collar and occlusion of adjacent vessels; the complete removal of the nidus in all the AVMs was achieved with no residues. Conclusions: The intraoperative use of indocyanine green was a safe, rapid, and effective technique within a preliminary case study of “regular—not giant” aneurysms and superficially located AVM. The endoscopic technique in the SPY mode has allowed to partially vicariate the use of Doppler, intraoperative angiography, and integrated microscope video angiography. For these purposes, we propose, in selected cases, the support of the endoscope in the SPY mode during the microsurgical procedure in order to visualize the green fluorescence of indocyanine. Full article

Background: Patellofemoral pain is one of the most common injuries in recreational runners, with significant implications for dynamic knee valgus. The knee valgus angle can be corrected surgically or with a more conservative non-operative approach. Increasing running cadence may be an effective biomechanical gait retraining intervention to reduce knee valgus and thus patellofemoral pain. The primary purpose of this study was to examine if an increase in cadence could change the knee valgus angle. Methods: Ten asymptomatic recreational runners were recorded running on a treadmill during control and experimental intervals. Each interval lasted five minutes, and participants ran at 100% and 110% of their baseline cadence. Peak angles of knee valgus were compared between both intervals using the video analysis software application Dartfish Express. A paired sample, a two-tailed t-test, was used to determine the significant difference between bilateral frontal plane knee angle measurements during both intervals. Results: The average decrease in knee valgus measured in control versus experimental intervals was 2.23° for the right leg and 2.05° for the left leg, with a significance of p < 0.001 and p < 0.001, respectively. Conclusion: The results indicated a statistically significant decrease in angles of dynamic knee valgus, attributable to increased cadence. These changes in knee valgus angle are likely to have a positive impact on preventing and reducing pain associated with PFP. Full article

Background and Objectives: Biliary fistulas (BFs) occur in approximately 3–8% of patients undergoing pancreaticoduodenectomy (PD), and the bile duct diameter ≤ 5 mm is the most important risk factor. The aim of this study was to evaluate the efficacy of biodegradable biliary stents (BSs) in reducing complications in patients undergoing robotic pancreaticoduodenectomy (RPD) with a bile duct diameter of ≤5 mm. Materials and Methods: A retrospective single-centre observational study was conducted. Patients undergoing RPD after the completion of the robotic biliary anastomosis learning curve were included in this study. Only patients with a bile duct diameter ≤ 5 mm were included in the analysis. A prospectively held database was used. The intraoperative time for biliary anastomosis was extracted from surgical videos. Results: Of 30 patients, 20 received no biliary stent (nBS) and 10 received a biodegradable stent (BS). The decision to use a stent was based on product availability. The median operative time for biliary anastomosis was significantly shorter in the BS group compared to the nBS group, at 15 min versus 24 min (p < 0.001). Three patients in the nBS group developed a BF, whereas none were observed in the BS group. No stent migration was observed in any of the patients. Conclusions: The use of biodegradable biliary stents in high-risk biliary anastomosis in RPD appears to effectively reduce the incidence of BFs and may serve as a viable strategy to mitigate early biliary complications. The use of biodegradable stents facilitates a faster and easier biliary anastomosis. These findings suggest a potential benefit of using biodegradable stents in complex biliary reconstruction. However, larger studies are needed to confirm these results. Full article