Single-stage Approach Research Articles

One-stage scalp reconstruction using single-layer dermal regeneration template and split-thickness skin graft: a case series.

Scalp full-thickness defects reconstruction following the resection of skin carcinoma poses significant challenges due to scalp anatomy complexity and limited vascularity. Despite various techniques available, including tissue expansion and local flaps, no single method stands as the gold standard. Moreover, cases requiring adjuvant radiotherapy further complicate reconstruction, demanding durable solutions. This study explores the efficacy of Integra® Dermal Regeneration Template Single Layer (Integra DRTSL) followed by split-thickness skin grafting (STSG) in one-stage scalp reconstruction post oncologic resection. A retrospective analysis was conducted on patients undergoing this procedure from January 2020 to October 2023. Surgical outcomes, including graft take rates, complications, and adjuvant therapy tolerability, were assessed. Results demonstrated successful reconstruction in the majority of cases, with a complete graft take rate of 77% and minimal complications. Notably, the single-stage approach facilitated timely initiation of adjuvant therapy, crucial for oncologic management. Healing times were notably reduced (< 60 days), enabling early radiotherapy commencement. No local recurrences were observed during the 16-month follow-up. The use of Integra DRTSL with STSG in one-stage reconstruction presents a promising alternative, offering optimal cosmetic and functional outcomes with low complication rates. This approach streamlines the reconstruction process, ensuring timely adjuvant therapy initiation and maximizing patient outcomes, especially in the context of scalp cutaneous tumors requiring radiotherapy. This research was conducted in accordance with the Declaration of Helsinki and approved by the Ethics Committee of University of Campania "Luigi Vanvitelli" (protocol code N. 0013333, 29 April 2021).

Multi-type stroke lesion segmentation: comparison of single-stage and hierarchical approach.

Stroke, a major cause of death and disability worldwide, can be haemorrhagic or ischaemic depending on the type of bleeding in the brain. Rapid and accurate identification of stroke type and lesion segmentation is critical for timely and effective treatment. However, existing research primarily focuses on segmenting a single stroke type, potentially limiting their clinical applicability. This study addresses this gap by exploring multi-type stroke lesion segmentation using deep learning methods. Specifically, we investigate two distinct approaches: a single-stage approach that directly segments all tissue types in one model and a hierarchical approach that first classifies stroke types and then utilises specialised segmentation models for each subtype. Recognising the importance of accurate stroke classification for the hierarchical approach, we evaluate ResNet, ResNeXt and ViT networks, incorporating focal loss and oversampling techniques to mitigate the impact of class imbalance. We further explore the performance of U-Net, U-Net++ and DeepLabV3 models for segmentation within each approach. We use a comprehensive dataset of 6650 images provided by the Ministry of Health of the Republic of Türkiye. This dataset includes 1130 ischaemic strokes, 1093 haemorrhagic strokes and 4427 non-stroke cases. In our comparative experiments, we achieve an AUC score of 0.996 when classifying stroke and non-stroke slices. For lesion segmentation task, while the performance of different architectures is comparable, the hierarchical training approach outperforms the single-stage approach in terms of intersection over union (IoU). The performance of the U-Net model increased significantly from an IoU of 0.788 to 0.875 when the hierarchical approach is used. This comparative analysis aims to identify the most effective approach and deep learning model for multi-type stroke lesion segmentation in brain CT scans, potentially leading to improved clinical decision-making, treatment efficiency and outcomes.

A Two-Stage Target Search and Tracking Method for UAV Based on Deep Reinforcement Learning

To deal with the complexities of decision-making for unmanned aerial vehicles (UAVs) in denial environments, this paper applies deep reinforcement learning algorithms to search and rescue (SAR) tasks. It proposes a two-stage target search and tracking method for UAVs based on deep reinforcement learning, which divides SAR tasks into search and tracking stages, and the controllers for each stage are trained based on the proposed deep deterministic policy gradient with three critic networks (DDPG-3C) algorithm. Simulation experiments are carried out to evaluate the performance of each stage in a two-dimensional rectangular SAR scenario, including search, tracking, and the integrated whole stage. The experimental results show that the proposed DDPG-3C model can effectively alleviate the overestimation problem, and hence results in a faster convergence and improved performance during both the search and tracking stages. Additionally, the two-stage target search and tracking method outperforms the traditional single-stage approach, leading to a more efficient and effective decision-making ability in SAR tasks.

Two-Stage Lumbar Dynamic Stabilization Surgery: A Comprehensive Analysis of Screw Loosening Rates and Functional Outcomes Compared to Single-Stage Approach in Osteopenic and Osteoporotic Patients.

Dynamic lumbar stabilization aims to preserve spinal movement, offering stability and controlled motion. However, screw loosening, especially in patients with osteopenia and osteoporosis, remains challenging. Between 2018 and 2022, a retrospective analysis was conducted on a total of 119 patients diagnosed with osteopenia and osteoporosis who underwent spinal dynamic instrumentation surgery. These patients were categorized into two groups: single-stage surgery (n = 67) and two-stage surgery (n = 52). Over the 48-month follow-up period, the occurrence and percentage of screw loosening were examined at each surgical level per patient, as well as by screw location (pedicular, corpus, tip). Clinical outcomes were evaluated using Visual Analog Scale (VAS) and Oswestry Disability Index (ODI) scores. Total screw loosening rates were significantly lower in the two-stage group (2.83%) compared to the single-stage group (14.63%, p < 0.001). Patient-based loosening occurred in 5 patients (9.6%) in the two-stage group and 16 patients (23.9%) in the single-stage group. Loosening rates were lower in the two-stage group at L2 (7.78%, p = 0.040), L3 (5.56%, p < 0.001), L4 (8.89%, p = 0.002), and L5 (10.00%, p = 0.006), but higher at S1 (21.11%, p = 0.964), T12 (15.56%, p = 0.031), and iliac levels (15.56%, p = 0.001). Pedicular section exhibited the highest loosening (37 cases). VAS and ODI scores improved significantly in both groups, with better outcomes in the two-stage group at the 48. months (p < 0.001). The two-stage surgical approach significantly reduces screw loosening in patients with osteopenia and osteoporosis undergoing dynamic stabilization surgery, offering enhanced stability and better clinical outcomes.

In-Depth Review of YOLOv1 to YOLOv10 Variants for Enhanced Photovoltaic Defect Detection

This review presents an investigation into the incremental advancements in the YOLO (You Only Look Once) architecture and its derivatives, with a specific focus on their pivotal contributions to improving quality inspection within the photovoltaic (PV) domain. YOLO’s single-stage approach to object detection has made it a preferred option due to its efficiency. The review unearths key drivers of success in each variant, from path aggregation networks to generalised efficient layer aggregation architectures and programmable gradient information, presented in the latest variant, YOLOv10, released in May 2024. Looking ahead, the review predicts a significant trend in future research, indicating a shift toward refining YOLO variants to tackle a wider array of PV fault scenarios. While current discussions mainly centre on micro-crack detection, there is an acknowledged opportunity for expansion. Researchers are expected to delve deeper into attention mechanisms within the YOLO architecture, recognising their potential to greatly enhance detection capabilities, particularly for subtle and intricate faults.

Rational capacity investment for renewable hydrogen-based steelmaking systems: A multi-stage expansion planning strategy

To improve energy efficiency and mitigate environmental impact, the iron and steel industry (ISI) is responsible for implementing a low-carbon transition. The renewable hydrogen-based steelmaking system (RHSS) has emerged as an innovative energy system in the pathway of reducing the carbon footprint of ISI. Nonetheless, the sustainable development requirements of RHSS emphasize the critical need for well-planned capacity investments to boost its economic viability. This study introduces a novel planning strategy for RHSS referred to as a multi-stage expansion planning (MSEP) model, which is aimed to minimize the levelized cost of crude steel over the planning horizon from 2025 to 2050 (EU climate neutrality year). The MSEP model incorporates the construction sequence and dynamic techno-economic parameters to formulate investment strategies that adapt to changing system requirements and external conditions over the planning horizon. To address the complexity of the MSEP model, a rolling-horizon approach (RHA) is proposed to solve the model sequentially while integrating updated information. The proposed approach is benchmarked against both the single-stage approach and the perfect-sight approach through case studies. The numerical results show that the proposed RHA (i) guarantees a rational capacity investment strategy for RHSS considering the construction sequence and dynamic techno-economic parameters over multiple planning stages; (ii) achieves a reduction in the levelized cost of crude steel by approximately 50% relative to the single-stage approach; (iii) resolves the convergence issues encountered with the perfect-sight approach while achieving an optimal solution in a reasonable time frame. Additionally, sensitivity analysis evaluates the uncertainties of multiple factors on the planning results, while the robustness analysis confirms the applicability and adaptability of RHA across various scenarios.

Single stage laparoscopic cholecystectomy with intraoperative endoscopic retrograde cholangiopancreatography for cholecysto-choledocholithiasis. Lesson learnt from the COVID-19 pandemic.

Choledocholithiasis, a common complication of gallstone disease, poses significant risks including cholangitis and pancreatitis. Various treatment approaches exist, including single-stage and two-stage techniques, with recent literature suggesting advantages of the single-stage approach in terms of outcomes and cost-effectiveness. This study evaluates the feasibility, efficacy, and safety of single-stage laparoscopic cholecystectomy combined with intraoperative endoscopic retrograde cholangiopancreatography (LC + iERCP) compared to the previously adopted two-stage approach. A retrospective analysis was conducted on patients undergoing single-stage LC + iERCP for cholecysto-choledocholithiasis during the COVID-19 pandemic (2020-2022). Data on demographics, preoperative assessments, intraoperative parameters, and postoperative outcomes were collected and compared with an historical control group undergoing the two-stage approach (LC + preopERCP). Hospitalization costs were also compared between the two groups. A total of 190 patients were included, with 105 undergoing single-stage LC + iERCP. The single-stage approach demonstrated successful completion without cystic duct cannulation, with no conversions to open surgery. Operative time was comparable to the two-stage approach, while hospital stay, and costs were significantly lower in the single-stage group. Complication rates were similar between the groups. Single-stage LC + iERCP appears to be a feasible, effective, and safe approach for treating cholecysto-choledocholithiasis, offering potential benefits in terms of reduced hospital stay, OR occupation time, and costs compared to the two-stage approach. Integration of this approach into clinical practice warrants consideration, unless there are logistical challenges that cannot be overcome or lack of endoscopic expertise also for treating challenging urgent cases.

Subsample Selection Methods in the Lake Management

AbstractThe problem of subsample selection among an enormous number of combinations arises when some covariates are available for all units, but the response can be measured only for a subset of them. When estimating a Bayesian prediction model, optimized selections can be more efficient than random sampling. The work is motivated by environmental management of aquatic systems. We consider data on 4360 Finnish lakes and aim to find an approximately optimal subsample of lakes in the sense of Bayesian D-optimality. We study Bayesian two-stage selection where the choice of lakes to be measured at the second stage depends on the measurements carried out at the first stage. The results indicate that the two-stage approach has a modest advantage compared to the single-stage approach.

Practical surgical technique using the SMISS approach for lip reduction in involuted lip infantile hemangiomas

BackgroundLip infantile hemangiomas tend to show less volumetric regression and are more susceptible to visible sequelae in the involuted stage. Some of them still require surgical management after propranolol therapy. This study aimed to evaluate the efficacy and safety of the Stepwise, Multi-Incisional, and Single-Stage (SMISS) approach applied to lip reduction for those with involuted lip hemangiomas.MethodsA retrospective review was performed to evaluate patients with lip hemangioma who received previous propranolol treatment and underwent the aforementioned procedure. Demographic characteristics, lesion morphology, and medical history were reviewed. The Visual Analog Scale was applied to assess the postoperative appearance. Complications within 12 months postoperatively were recorded.ResultsA total of 18 patients with lip hemangioma were eligible. All patients received oral propranolol therapy before surgery, with treatment duration ranging from 6.0 to 23.0 months. Their age at surgery ranged from 2.5 to 9.0 years. The median Visual Analog Scale scores were 8.0, ranging from 4.0 to 10.0. No severe complications were reported.ConclusionsThis modified technique based on the SMISS approach has proven reliable and effective in improving the aesthetic outcome for involuted lip infantile hemangiomas. Practical surgical techniques still play an important part in the propranolol era.

Anatomical Identification and Possibilities of Transfer of the Masseteric Nerve for Facial Reanimation

The masseteric nerve (MN) is often used as a donor nerve for facial reanimation. In addition to already established techniques, MN transfer is rapidly gaining importance, mainly due to the single-stage approach of the procedure and its reconstructive potential. This anatomical study and the associated questionnaire study aimed to evaluate the established methods for identification of the MN and its suitability for direct nerve transfer as well as to assess the importance of MN transfer in the daily clinical routine. Bilateral dissection of 25 fresh-frozen head specimens (n=50; 13 female, 12 male) was performed with accompanying measurement of the MN. In a questionnaire study conducted at established centres for facial surgery in German-speaking countries, clinical experience data of MN transfer was collected using the SurveyMonkey software. The data obtained was statistically analysed using Microsoft Excel and presented in numerical tables and boxplots. Using anatomical landmarks such as the zygomatic arch and the mandibular notch for orientation, the MN was found in 100% of cases. Its average length from the emerging point below the zygomatic arch towards its entry into the masseter muscle was measured to be 22 mm and was the length available for nerve transposition. Tension-free coaptation of the MN with the zygomatic branch was possible in 94% of cases. The questionnaire showed that the MN is considered an important donor nerve for motor nerve transfers and that MN transfer is now largely established as a standard procedure. In accordance with previously published studies, the MN was reliably found at the height of the mandibular notch and, in the vast majority of cases, was suitable for tension-free coaptation with the zygomatic branch. Differences to the existing literature, however, can be seen in the length of the nerve available for nerve transposition and the frequency of its division into several branches before entering the masseter muscle. In German-speaking countries, Cross-Face Nerve Grafting (CFNG) is still the preferred method for facial reanimation surgery. However, MN transfer is also well established by now, both as an alternative and a supplement to other techniques, possibly due to its low donor site morbidity and short time to regeneration.

SURVEY ON WBC CLASSIFICATION AND DETECTION USING YOLO

Our heart pumps red blood constantly, carrying waste products, hormones, nutrition, oxygen, and other essential health markers. Blood cells in this fluid are made up of many components, including platelets, RBCs, and WBCs. Neutrophils, Lymphocytes, Monocytes, Eosinophils, and Basophils are further subdivided into WBCs. To precisely identify and treat numerous kinds of blood-related illnesses, the detection and analysis of these blood cells is necessary for advanced diagnostics in medicine. Convolutional neural networks (CNNs), for example, are highly relied upon in modern medical diagnostics for the examination of blood cells. The precision and potency of blood cell identification procedures have been greatly improved by CNNs and Additional approaches to deep learning like RNNs and YOLO. The persistence of this research is to list challenges in White Blood cell detection and classification problem. Deep learning-based blood cell identification and classification approaches based on Single Stage approaches. Single Stage Approach involve You only look Once (YOLO). It explores the various architectures for feature selection and classification starting from YoloV1 toV5 and it’s various modifications. In this paper would be looking at things like network parameters, training procedure, and transfer learning application for each variation. It also assesses model complexity, accuracy, performance, generalization, computational efficiency, and transfer learning capabilities, in addition to variables like data amount and source.

Single stage management of suspected gallbladder cancer guided by intraoperative frozen section analysis: A retrospective cohort study.

The management of radiologically suspected gallbladder cancers (GBC) that lack definitive radiological features usually involves performing a first-stage routine laparoscopic cholecystectomy, followed by an open second-stage liver resection (segments IVB and V) and hilar lymphadenectomy (extended cholecystectomy) if subsequent formal histology confirms a malignancy. Performing a cholecystectomy with an intraoperative frozen section to guide the need for conversion to an extended cholecystectomy as a single-stage procedure has multiple benefits compared to a two-stage approach. However, the safety and efficacy of this approach have not yet been evaluated in a tertiary setting. A retrospective cohort study was performed using a database of all consecutive patients with suspected GBC who had been referred to our tertiary unit. Following routine cholecystectomy, depending on the operative findings, the gallbladder specimen was removed and sent for frozen-section analysis. If malignancy was confirmed, the depth of tumour invasion was evaluated, followed by simultaneous extended cholecystectomy, when appropriate. The sensitivity and specificity of frozen section analysis for the diagnosis of GBC were measured using formal histopathology as a reference standard. A total of 37 consecutive cholecystectomies were performed. In nine cases, GBC was confirmed by intraoperative frozen section analysis, three of which had standard cholecystectomy only as their frozen section showed adenocarcinoma to be T1a or below (n=2) or were undetermined (n=1). In the remaining six cases, malignant invasion beyond the muscularis propria (T1b or above) was confirmed; thus, a synchronous extended cholecystectomy was performed. The sensitivity (95% CI 66.4%-100%) and specificity (95% CI 87.7%-100%) for identifying GBC using frozen section analysis were both 100%. The net cost of the single-stage pathway in comparison to the two-stage pathway resulted in overall savings of £3894. Intraoperative frozen section analysis is a reliable tool for guiding the use of a safe, single-stage approach for the management of GBC in radiologically equivocal cases. In addition to its lower costs compared to a conventional two-stage procedure, intraoperative analysis also affords the benefit of a single hospital admission and single administration of general anaesthesia, thus greatly enhancing the patient's experience and relieving the burden on waiting lists.

Spatial Bayesian distributed lag non-linear models (SB-DLNM) for small-area exposure-lag-response epidemiological modelling.

Distributed lag non-linear models (DLNMs) are the reference framework for modelling lagged non-linear associations. They are usually used in large-scale multi-location studies. Attempts to study these associations in small areas either did not include the lagged non-linear effects, did not allow for geographically-varying risks or downscaled risks from larger spatial units through socioeconomic and physical meta-predictors when the estimation of the risks was not feasible due to low statistical power. Here we proposed spatial Bayesian DLNMs (SB-DLNMs) as a new framework for the estimation of reliable small-area lagged non-linear associations, and demonstrated the methodology for the case study of the temperature-mortality relationship in the 73 neighbourhoods of the city of Barcelona. We generalized location-independent DLNMs to the Bayesian framework (B-DLNMs), and extended them to SB-DLNMs by incorporating spatial models in a single-stage approach that accounts for the spatial dependence between risks. The results of the case study highlighted the benefits of incorporating the spatial component for small-area analysis. Estimates obtained from independent B-DLNMs were unstable and unreliable, particularly in neighbourhoods with very low numbers of deaths. SB-DLNMs addressed these instabilities by incorporating spatial dependencies, resulting in more plausible and coherent estimates and revealing hidden spatial patterns. In addition, the Bayesian framework enriches the range of estimates and tests that can be used in both large- and small-area studies. SB-DLNMs account for spatial structures in the risk associations across small areas. By modelling spatial differences, SB-DLNMs facilitate the direct estimation of non-linear exposure-response lagged associations at the small-area level, even in areas with as few as 19 deaths. The manuscript includes an illustrative code to reproduce the results, and to facilitate the implementation of other case studies by other researchers.

A floating 3D printed polypill formulation for the coadministration and sustained release of antihypertensive drugs

Polypharmacy is a common issue, especially among elderly patients resulting in administration errors and patient inconvenience. Hypertension is a prevalent health condition that frequently leads to polypharmacy, as its treatment typically requires the co-administration of more than one different Active Pharmaceutical Ingredients (API’s). To address these issues, floating hollow torus-shaped dosage forms were developed, aiming at providing prolonged gastric retention and sustained drug release. The dosage forms (polypills) containing three anti-hypertensive API’s (diltiazem (DIL), propranolol (PRP) and hydrochlorothiazide (HCTZ)) were created via Fused Deposition Modelling 3D printing. A multitude of the dosage forms were loaded into a capsule and the resulting formulation achieved prolonged retention times over a 12-hour period in vitro, by leveraging both the buoyancy of the dosage forms, and the “cheerios effect” that facilitates the aggregation and retention of the dosage forms via a combination of surface tension and shape of the objects. Physicochemical characterization methods and imaging techniques were employed to investigate the properties and the internal and external structure of the dosage forms. Furthermore, an ex vivo porcine stomach model revealed substantial aggregation, adhesion and retention of the 3D printed dosage forms in porcine stomach. In vitro dissolution testing demonstrated almost complete first-order release of PRP and DIL (93.52 % and 99.9 %, respectively) and partial release of HCTZ (65.22 %) in the 12 h timeframe. Finally, a convolution-based single-stage approach was employed in order to predict the pharmacokinetic (PK) parameters of the API’s of the formulation and the resemblance of their PK behavior with previously reported data.

Progressive Feature Self-Reinforcement for Weakly Supervised Semantic Segmentation

Compared to conventional semantic segmentation with pixel-level supervision, weakly supervised semantic segmentation (WSSS) with image-level labels poses the challenge that it commonly focuses on the most discriminative regions, resulting in a disparity between weakly and fully supervision scenarios. A typical manifestation is the diminished precision on object boundaries, leading to deteriorated accuracy of WSSS. To alleviate this issue, we propose to adaptively partition the image content into certain regions (e.g., confident foreground and background) and uncertain regions (e.g., object boundaries and misclassified categories) for separate processing. For uncertain cues, we propose an adaptive masking strategy and seek to recover the local information with self-distilled knowledge. We further assume that confident regions should be robust enough to preserve the global semantics, and introduce a complementary self-distillation method that constrains semantic consistency between confident regions and an augmented view with the same class labels. Extensive experiments conducted on PASCAL VOC 2012 and MS COCO 2014 demonstrate that our proposed single-stage approach for WSSS not only outperforms state-of-the-art counterparts but also surpasses multi-stage methods that trade complexity for accuracy.

Single-Stage Laparoscopic Common Bile Duct Exploration and Cholecystectomy Versus Two-Stage Endoscopic Stone Extraction Followed by Laparoscopic Cholecystectomy for Patients With Cholelithiasis and Choledocholithiasis: A Systematic Review.

Gallbladder stones with common bile duct (CBD) stones can be managed by a single-stage laparoscopic approach with transcystic or transcholedochal CBD exploration and cholecystectomy or a two-stage approach with endoscopic retrograde cholangiopancreatography (ERCP) for stone extraction followed by laparoscopic cholecystectomy. Comparative outcomes between these approaches remain controversial. The objective was to compare single-stage laparoscopic CBD exploration and cholecystectomy versus two-stage ERCP stone removal followed by laparoscopic cholecystectomy for clearance of CBD stones, complications, length of stay, and costs.We systematically searched PubMed, EMBASE, and the Cochrane Central Register of Controlled Trials for randomized trials and observational studies comparing outcomes of interest between single and two-stage approaches. Meta-analyses using random effects models were conducted. Seven studies with 382 patients were included. The single-stage approach achieved higher stone clearance rates (OR: 1.53, 95% CI: 1.12-2.08) with a shorter length of stay (mean duration: 3.5 days, 95% CI: -5.1 to -1.9 days) compared to the two-stage method. No significant difference was seen in complication rates (45% vs 40%, p=0.43) or costs ($19,000 vs $18,000, p=0.34). For patients with gallbladder and CBD stones, single-stage laparoscopic CBD exploration with cholecystectomy appears superior for stone clearance while comparable in safety and cost to a two-stage approach. Further randomized trials are warranted.

Efficient Multistage License Plate Detection and Recognition Using YOLOv8 and CNN for Smart Parking Systems

Smart parking systems play a vital role in enhancing the efficiency and sustainability of smart cities. However, most existing systems depend on sensors to monitor the occupancy of parking spaces, which entail high installation and maintenance costs and limited functionality in tracking vehicle movement within the car park. To address these challenges, we propose a multistage learning-based approach that leverages existing surveillance cameras within the car park and a self-collected dataset of Saudi license plates. The approach combines YOLOv5 for license plate detection, YOLOv8 for character detection, and a new convolutional neural network architecture for improved character recognition. We show that our approach outperforms the single-stage approach, achieving an overall accuracy of 96.1% versus 83.9% of the single-stage approach. The approach is also integrated into a web-based dashboard for real-time visualization and statistical analysis of car park occupancy and vehicle movement with an acceptable time efficiency. Our work demonstrates how existing technology can be leveraged to improve the efficiency and sustainability of smart cities.

Two-Stage Lumbar Dynamic Stabilization Surgery: A Comprehensive Analysis of Screw Loosening Rates and Functional Outcomes Compared to Single-Stage Approach in Osteopenic and Osteoporotic Patients

Two-Stage Lumbar Dynamic Stabilization Surgery: A Comprehensive Analysis of Screw Loosening Rates and Functional Outcomes Compared to Single-Stage Approach in Osteopenic and Osteoporotic Patients

HPB P34 A case-controlled study of single-stage versus two-stage approach to managing common bile duct stones

Abstract Background The most common approaches to the treatment of symptomatic common bile duct (CBD) stones are endoscopic retrograde cholangiopancreatography (ERCP) followed by cholecystectomy (two-stage approach) and intra-operative imaging +/- bile duct exploration (BDE) during laparoscopic cholecystectomy (single-stage approach). Intra-operative cholangiogram (IOC) and intra-operative ultrasound (IOUS) are the two common forms of intra-operative imaging. Although IOC is used more frequently, IOUS is safer, non-invasive and can be repeated. The aim of this study was to evaluate outcomes of patients undergoing a single-stage approach with IOUS compared to patients undergoing a two-stage approach. Methods This was a retrospective case-controlled study. Outcomes of patients who had a single-stage approach (group 1) between February 2015 and June 2022 were compared with a cohort of patients (matched for age, sex, and co-morbidities) who had a two-stage approach (group 2). Outcomes included the total number of admissions from diagnosis until cholecystectomy, time from initial presentation to surgery, length of stay (LOS), post-operative and post-ERCP complications (including bile leak, pancreatitis and retained stones), readmission rate and mortality within a year. Results Seventy-four patients were included (65% female, mean age 56 years, median Charlson Comorbidity Index of 2). The median number of admissions was lower in group 1 (1 vs 3 days, p&amp;lt;0.01). The median waiting time till surgery was 4 days in group 1 (vs 128 days, p&amp;lt;0.01). The median LOS for group 1 was 5 days (vs 7 days, p=0.08). Overall complications were lower in group 1 (5% vs 11%, p=0.79). Complications included bile leak (5% vs 0%), pancreatitis (0% vs 8%) and retained stones (0% vs 3%). Readmission rate was 3% vs 16% (p=0.66). Overall mortality was zero. Conclusions Patients who were managed for CBD stones via the single-stage approach had significantly fewer hospital admissions and shorter waiting time to cholecystectomy. There was no significant difference in LOS, rate of complications or readmissions between the two groups. We therefore advocate the use of the single-stage approach using IOUS routinely over ERCP in the management of symptomatic CBD stones.

Feasibility and safety of intraoperative bile duct clearance by antegrade transcystic balloon sphincteroplasty: A prospective observational pilot study.

Concomitant cholecystolithiasis and choledocholithiasis are common. Standard treatments are endoscopic retrograde cholangiography (ERC) followed by cholecystectomy or laparoendoscopic rendezvous. Endoscopic retrograde cholangiography has drawbacks, such as post-ERC pancreatitis or bleeding, and potentially more than one intervention is required to address common bile duct (CBD) stones. Safety and feasibility of an intraoperative antegrade transcystic single-stage approach during cholecystectomy with balloon sphincteroplasty and pushing of stones to the duodenum has not been evaluated prospectively. The aim of this pilot study was to evaluate this procedure regarding safety, feasibility, and stone clearance rate. Prospective single-center intervention study (SUPER Reporting-Guideline). Main inclusion criterion was confirmed choledocholithiasis (stones ≤6 mm) at intraoperative cholangiography. Success of the procedure was defined as CBD stone clearance at intraoperative control cholangiography, absence of symptoms and no elevated cholestasis parameters at 6 weeks follow-up. Simon's two-stage design was used to determine sample size. From January 2021 to April 2022, a total of 57 patients fulfilled the final inclusion criteria and were included. Mild pancreatitis or cholangitis were present upon admission in 15 (26%) and 15 (26%) patients, respectively. Median number of CBD-stones was 1 (1-6). Median stone diameter was 4 mm (0.1-6 mm). Common bile duct stone clearance was achieved in 54 patients (94%). The main reason for failed CBD clearance was the inability to push the guidewire along the biliary stone into the duodenum. Median intervention time was 28 minutes (14-129 minutes). While there was no postoperative pancreatitis, two patients (3.5%) had asymptomatic hyperlipasemia 4 hours postoperatively. Intraoperative CBD stone clearance by antegrade balloon sphincteroplasty appears to be safe and highly feasible. Its overall superiority to the current standards warrants evaluation by a randomized controlled trial. Therapeutic/Care Management, Level V.