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We systematically reviewed the role of bronchial artery embolization (BAE) in hemoptysis. Literature search was done for studies on BAE published between 1976 and 2016. Twenty-two studies published in English, with sample size of at least 50 patients, reporting indications, technique, efficacy, and follow-up were included in the final analysis. Common indications for BAE included tuberculosis (TB), post-tubercular sequelae, bronchiectasis, and aspergillomas. Most common embolizing agent used was polyvinyl alcohol (size, 300-600 μm) with increasing use of glue in recent years. Overall immediate clinical success rate of BAE, defined as complete cessation of hemoptysis, varied from 70%-99%. However, recurrence rate remains high, ranging from 10%-57%, due to incomplete initial embolization, recanalization of previously embolized arteries, and recruitment of new collaterals. Presence of nonbronchial systemic collaterals, bronchopulmonary shunting, aspergillomas, reactivation TB, and multidrug resistant TB were associated with significantly higher recurrence rates (P < 0.05). Rate of major complications remained negligible and stable over time with median incidence of 0.1% (0%-6.6%). Despite high hemoptysis recurrence rates, BAE continues to be the first-line, minimally invasive treatment of hemoptysis in emergency settings, surgically unfit patients, or in patients with diffuse or bilateral lung disease.

Aims/Introduction This study aims to evaluate the prevalence of and factors associated with non‐alcoholic fatty liver disease (NAFLD) in Indian women with prior gestational diabetes mellitus (GDM) diagnosed using International Association of Diabetes and Pregnancy Study Groups (IADPSG) criteria. Materials and Methods This cross‐sectional study (2018–2019) enrolled women with and without prior GDM. Study participants underwent detailed assessments, including relevant medical, obstetric and demographic details; 75‐g oral glucose tolerance test with glucose and insulin estimation at 0, 30 and 120 min; and other relevant biochemical and anthropometric measurements. NAFLD status was defined by ultrasonography. Results We evaluated a total of 309 women (201 and 108 with and without prior GDM, respectively) at a mean age of 31.9 ± 5.0 years and median of 16 months (interquartile range 9–38 months) following the index delivery. The prevalence of NAFLD was significantly higher in women with prior GDM (62.7% vs 50.0%, P = 0.038; grade 2 and 3 disease, 13.9% vs 6.5%). On logistic regression analysis (fully adjusted model), the odds of NAFLD were 2.11‐fold higher in women with prior GDM (95% confidence interval 1.16–3.85, P = 0.014). Overweight/obesity, metabolic syndrome, prediabetes and homeostasis model of assessment of insulin resistance (a measure of insulin resistance) were positively associated with NAFLD, whereas the Matsuda index (a measure of insulin sensitivity) showed a negative association with NAFLD. Conclusions The prevalence of NAFLD is high in women with prior GDM. Such women also have a high burden of cardiometabolic risk factors. Future studies should evaluate the intermediate and long‐term hepatic and cardiovascular risk, and the impact of lifestyle interventions in reducing morbidity in such women. This study evaluated the prevalence and risk factors of non‐alcoholic fatty liver disease in Indian women with prior gestational diabetes mellitus diagnosed using International Association of Diabetes and Pregnancy Study Groups criteria. Ultrasonography of abdomen was used to define non‐alcoholic fatty liver disease status. Prevalence of non‐alcoholic fatty liver disease was significantly higher in women with prior gestational diabetes mellitus (62.7% vs 50.0%, P = 0.038; grade 2 and 3 disease, 13.9% vs 6.5%).

Abstract Chest tuberculosis (CTB) is a widespread problem, especially in our country where it is one of the leading causes of mortality. The article reviews the imaging findings in CTB on various modalities. We also attempt to categorize the findings into those definitive for active TB, indeterminate for disease activity, and those indicating healed TB. Though various radiological modalities are widely used in evaluation of such patients, no imaging guidelines exist for the use of these modalities in diagnosis and follow-up. Consequently, imaging is not optimally utilized and patients are often unnecessarily subjected to repeated CT examinations, which is undesirable. Based on the available literature and our experience, we propose certain recommendations delineating the role of imaging in the diagnosis and follow-up of such patients. The authors recognize that this is an evolving field and there may be future revisions depending on emergence of new evidence.

Load balancing (LB) is a critical aspect of Cloud Computing (CC), enabling efficient access to virtualized resources over the internet. It ensures optimal resource utilization and smooth system operation by distributing workloads across multiple servers, preventing any server from being overburdened or underutilized. This process enhances system reliability, resource efficiency, and overall performance. As cloud computing expands, effective resource management becomes increasingly important, particularly in distributed environments. This study proposes a novel approach to resource prediction for cloud network load balancing, incorporating federated learning within a blockchain framework for secure and distributed management. The model leverages Dilated and Attention-based 1-Dimensional Convolutional Neural Networks with bidirectional long short-term memory (DA-DBL) to predict resource needs based on factors such as processing time, reaction time, and resource availability. The integration of the Random Opposition Coati Optimization Algorithm (RO-COA) enables flexible and efficient load distribution in response to real-time network changes. The proposed method is evaluated on various metrics, including active servers, makespan, Quality of Service (QoS), resource utilization, and power consumption, outperforming existing approaches. The results demonstrate that the combination of federated learning and the RO-COA-based load balancing method offers a robust solution for enhancing cloud resource management.

Background Perianal fistulas (PF) affect one-third patients with Crohn’s disease (CD) with limited therapeutic options. There is dearth of literature on safety and efficacy of bone marrow-derived mesenchymal stromal cells (BMSCs) in this population. Methods An open-label, phase I/II, single-arm study was conducted involving local administration of human allogeneic bone marrow-derived mesenchymal stromal cells in perianal fistula of patients with Crohn’s disease refractory to standard therapies. Clinical severity and biomarkers were assessed at baseline and periodically until week 104 , and MRI at week 24 and 104. Primary and secondary objectives were to assess safety and efficacy respectively. Fistula remission was complete closure of fistula openings with < 2 cm perianal collection on MRI, and fistula response was decrease in drainage by ≥ 50%. Change in perianal disease activity index, quality-of-life and Van Assche index on MRI over time was assessed using mixed-effect linear regression model. Results Ten patients (male:8, mean age:27.4 ± 12.0years) were recruited. Self-resolving procedure-related adverse events occurred in three patients, with no follow-up adverse events. In intention to treat analysis at week 24, two patients (20%) achieved fistula remission and seven (70%) had fistula response. At week 52, two (20%) patients were in remission and seven (70%) maintained response. At 104 weeks, two (20%) patients maintained response and one (10%) was in remission. Statistically significant decrease in perianal disease activity index ( P  = 0.008), Van Assche Index ( P  = 0.008) and improvement in quality-of-life ( P  = 0.001) were observed over time. Conclusions Allogeneic BMSCs are safe and effective for the treatment of perianal fistulizing CD with significant improvement in clinical severity and radiological healing. Trial registration The study was prospectively registered on Clinical trials registry – India (CTRI), CTRI/2020/01/022743 on 14 January 2020, http://ctri.nic.in .

Abstract Computed Tomography (CT) is the mainstay of diagnostic imaging evaluation of thoracic disorders. However, there are a number of CT protocols ranging from a simple non-contrast CT at one end of the spectrum, and CT perfusion as a complex protocol available only on high-end scanners.With the growing diversity, there is a pressing need for radiologists, and clinicians to have a basic understanding of the recommended CT examinations for individual indications. This brief review aims to summarise the currently prevalent CT examination protocols, including their recommended indications, as well as technical specifications for performing them.

BackgroundWith evolving technology, the focus of groin hernia repair has shifted to sexual function and fertility outcomes.MethodsThis three-arm randomized study was conducted in tertiary care hospital from 1st July 2017 to 30th March 2019. Consecutive patients of groin hernia were randomized into 3 groups, TAPP (Group 1), TEP (Group 2), and OMH (Group 3). Demographic profile and hernia characteristics were assessed preoperatively. Sexual functions (using BMSFI) and fertility (using surrogate fertility indices, viz., semen analysis and anti-sperm antibodies (ASA)) were assessed preoperatively at 3 months after the surgery.ResultsA total of 121 patients were included in the study with 41 patients in TAPP (Group 1) and 40 each in TEP (Group 2) and OMH (Group3) group. All the 3 groups were comparable in terms of demographic profile, hernia characteristics, intra-operative and early post-operative outcomes. Significant improvement was found in most of the domains of BMSFI score in the study population (p value < 0.001) with no intergroup difference. There was significant increase of anti-sperm antibody level in OMH group as compared to TAPP and TEP (p = 0.001), however, the levels were within normal limit.ConclusionsIn conclusion, this study has shown that inguinal hernia repair whether open or laparoscopic (TEP or TAPP) leads on to improvement in sexual functions and fertility indices and can have a significant impact on pre-op counseling of the patient in terms of choice of repair, depending on the available expertise in a given center.

Wine quality assessment in the modern viticulture industry faces significant challenges due to reliance on subjective expert evaluation, leading to inconsistencies, scalability limitations, and high costs in commercial applications. Traditional approaches lack standardization and struggle with large-scale quality control processes. This comprehensive study evaluates the effectiveness of advanced machine learning techniques for wine quality prediction using a dataset of 6,497 samples (1,599 red wine and 4,898 white wine)0.14 original physicochemical features that were expanded to 34 through feature engineering, plus the quality target variable and addressed class imbalance using SMOTE. Our methodology integrates traditional algorithms (Logistic Regression, SVM, KNN), ensemble methods (Random Forest, XGBoost, LightGBM, Voting and Stacking ensembles), deep neural networks, and a novel application of transfer learning from white wine quality models to enhance red wine quality prediction. Results demonstrate superior performance of ensemble methods across evaluation metrics, with Random Forest achieving up to 95% accuracy and 0.994 AUC score in optimized configurations, while Voting and Stacking ensembles consistently delivered robust performance (81.5% accuracy, 85.3% F1 score) across varied testing conditions. Feature importance analysis using SHAP revealed that alcohol content, sulfur dioxide levels, and volatile acidity are the most influential predictors, with complex interaction patterns between chemical properties. Transfer learning showed promising results with faster convergence but slightly lower accuracy than models trained from scratch. This research advances both the methodological framework for wine quality prediction and provides actionable insights for the wine industry by identifying critical chemical determinants of wine quality.Article highlightsProposed a hybrid ML framework integrating classical, ensemble (Random Forest, XGBoost, LightGBM), and deep learning models for automated wine quality classification.Enhanced model performance through advanced feature engineering (from 14 to 34 features), class imbalance handling (SMOTE), and interpretability using SHAP.Introduced transfer learning from red to white wine classification, demonstrating faster convergence and improved generalizability.Established a novel, end-to-end pipeline combining feature expansion, model fusion, explainable AI, and domain transfer for robust and interpretable wine quality prediction.

Introduction: Staging laparoscopy (SL) plays an important role in avoiding unnecessary non-therapeutic laparotomy in radiologically resectable hepatopancreaticobiliary (HPB) malignancy patients. The limitation of SL is to detect deep-seated malignancy. The addition of laparoscopic ultrasonography for identifying metastatic lesions or locally unresectable disease improves the diagnostic yield of SL. Patients and Methods: This prospective, observational study was conducted in a single unit of the tertiary care centre between 2017 and 2019. All the patients of HPB malignancy who were radiologically resectable underwent SL and laparoscopic intraoperative ultrasonography. Metastatic disease patients were either underwent palliative bypass procedures or abandoned depending on the condition of the patient. Patients who had resectable disease underwent standard surgical procedures. Results: Forty patients of HPB malignancy with potentially resectable on radiological imaging underwent SL and diagnostic ultrasonography. Out of 40, 21 patients had periampullary, 14 had carcinoma gallbladder and 5 patients had distal cholangiocarcinoma. Metastatic lesions were identified on laparoscopy in eight patients and the diagnostic yield of SL is 20%. Addition of laparoscopic ultrasonography identified one haemangioma which was false positive on laparoscopy and underwent the radical standard procedure. Four patients were unresectable so the procedure was abandoned and another three patients underwent a bypass procedure. Conclusion: Laparoscopic ultrasonography during SL can detect deep-seated metastatic lesions and decide the management in resectable disease.