Pharmacogenetic guided versus standard warfarin dosing for routine clinical care with its pharmacoeconomic impact: a randomized controlled clinical trial.

BACKGROUND: Empirical use of pharmacogenetic test(PGT) is advocated for many drugs, and resource-rich setting hospitals are using the same commonly. The clinical translation of pharmacogenetic tests in terms of cost and clinical utility is yet to be examined in hospitals of low middle income countries (LMICs). AIM: The present study assessed the clinical utility of PGT by comparing the pharmacogenetically(PGT) guided- versus standard of care(SOC)- warfarin therapy, including the health economics of the two warfarin therapies. METHODS: An open-label, randomized, controlled clinical trial recruited warfarin-receiving patients in pharmacogenetically(PGT) guided- versus standard of care(SOC)- study arms. Pharmacogenetic analysis of CYP2C9*2(rs1799853), CYP2C9*3(rs1057910) and VKORC1(rs9923231) was performed for patients recruited to the PGT-guided arm. PT(Prothrombin Time)-INR(international normalized ratio) testing and dose titrations were allowed as per routine clinical practice. The primary endpoint was the percent time spent in the therapeutic INR range(TTR) during the 90-day observation period. Secondary endpoints were time to reach therapeutic INR(TRT), the proportion of adverse events, and economic comparison between two modes of therapy in a Markov model built for the commonest warfarin indication- atrial fibrillation. RESULTS: The study enrolled 168 patients, 84 in each arm. Per-protocol analysis showed a significantly high median time spent in therapeutic INR in the genotype-guided arm(42.85%; CI 21.4-66.75) as compared to the SOC arm(8.8%; CI 0-27.2)(p < 0.00001). The TRT was less in the PG-guided warfarin dosing group than the standard-of-care dosing warfarin group (17.85 vs. 33.92 days) (p = 0.002). Bleeding and thromboembolic events were similar in the two study groups. Lifetime expenditure was ₹1,26,830 in the PGT arm compared to ₹1,17,907 in the SOC arm. The QALY gain did not differ in the two groups(3.9 vs. 3.65). Compared to SOC, the incremental cost-utility ratio was ₹35,962 per QALY gain with PGT test opting. In deterministic and probabilistic sensitivity analysis, the base case results were found to be insensitive to the variation in model parameters. In the cost-effectiveness-acceptability curve analysis, a 90% probability of cost-effectiveness was reached at a willingness-to-pay(WTP) of ₹ 71,630 well below one time GDP threshold of WTP used. CONCLUSION: Clinical efficacy and the cost-effectiveness of the warfarin pharmacogenetic test suggest its routine use as a point of care investigation for patient care in LMICs.

Perception of robotic-assisted surgery (RAS) among medical students: a systematic review and meta-analysis.

INTRODUCTION: Robotic surgery, also known as robotic-assisted surgery (RAS), involves a camera and a small surgical instrument attached to a robotic arm. A trained surgeon operates the robot from a viewing screen while being in the same room. METHODOLOGY: This review was prepared following Cochrane collaboration guidelines and reported using the Preferred Reporting Items for Systematic review and Meta-Analysis (PRISMA) statement. Two authors independently searched and appraised the studies published in PubMed, cumulative index to nursing and allied health literature (CINAHL), Embase, Clinical Key, and Google Scholar. Pooled data analyzed and reported in RevMan software version-5.4. RESULTS: This systematic review and meta-analysis comprised 1400 medical students, from 8 studies. The participants' age ranged from 23 to 49 years. Similarly, the sample size ranged from 25 and 300. The pooled prevalence of the existing studies revealed that 29.8% of medical students, were favorable towards RAS. Effect size (ES), 95% confidence intervals (CI) and heterogeneity (I2) [ES = 29.8, 95% CI 16.4-43.2, I2 = 95.1%, P < 0.00]. About 40% of Australian medical students' positive opinion on RAS [ES = 40.4, 95% CI 25.7-55.2]. Similarly, 34.2% of students from Saudi Arabia [ES = 29.8, 95% CI 22.4-90.8, I2 = 99.3%, P < 0.00], 27.8% students from Canada [ES = 27.8, 95% CI 15.9-39.6], 24.8% from USA [ES = 24.8, 95% CI 6.9-42.7, I2 = 77.3%, P < 0.00] and 24% [ES = 24, 95% CI 18-30] from India favorable towards RAS. DISCUSSION: Medical students from developed nations display favorable attitudes towards RAS. However, implementing of revised curriculum at the beginning of the graduation level sparks medical students' attitude towards robotic surgery.

A Novel Method for Prediction of Raised Intracranial Pressure Through Automated ONSD and ETD Ratio Measurement From Ocular Ultrasound.

The paper presents a novel framework for the prediction of the raised Intracranial Pressure (ICP) from ocular ultrasound images of traumatic patients through automated measurement of Optic Nerve Sheath Diameter (ONSD) and Eyeball Transverse Diameter (ETD). The measurement of ONSD using an ocular ultrasound scan is non-invasive and correlates with the raised ICP. However, the existing studies suggested that the ONSD value alone is insufficient to indicate the ICP condition. Since the ONSD and ETD values may vary among patients belonging to different ethnicity/origins, there is a need for developing an independent global biomarker for predicting raised ICP condition. The proposed work develops an automated framework for the prediction of raised ICP by developing algorithms for the automated measurement of ONSD and ETD values. It is established that the ONSD and ETD ratio (OER) is a potential biomarker for ICP prediction independent of ethnicity and origin. The OER threshold value is determined by performing statistical analysis on the data of 57 trauma patients obtained from the AIIMS, New Delhi. The automated OER is computed and compared with the conventionally measured ICP by determining suitable correlation coefficients. It is found that there is a significant correlation of OER with ICP (r = .81, p ≤ .01), whereas the correlation of ONSD alone with ICP is relatively less (r = .69, p = .004). These correlation values indicate that OER is a better parameter for the prediction of ICP. Further, the threshold value of OER is found to be 0.21 for predicting raised ICP conditions in this study. Scatter plot and Heat map analysis of OER and corresponding ICP reveal that patients with OER ≥ 0.21, have ICP in the range of 17 to 35 mm Hg. In the data available for this research work, OER ranges from 0.17 to 0.35.

Retroperitoneal yolk sac tumour encroaching the liver and adrenal gland with tumour thrombus in cavo-atrial region and hepatic veins.

Paediatric germ cell tumours (GCT) are rare tumours and are unique because of varied clinical presentation and locations. Yolk sac tumour is the predominant malignant histology and a serum marker; alpha fetoprotein is used to see treatment response and recurrent disease. It is extremely rare to find a retroperitoneal GCT with tumour thrombus extending up to the cavo-atrial region with involvement of the hepatic veins. We report a case of retroperitoneal yolk sac tumour (RPYST) with extension to the liver and right adrenal gland along with tumour thrombus in the inferior vena cava and in the right and middle hepatic veins. The child was operated after satisfactory response to chemotherapy. Excision of the tumour along with the right adrenal gland and around 5 cm of retro-hepatic caval resection was done. Inferior vena cava resection was tolerated without reconstruction. Currently child is disease-free and symptom-free at 22 months of follow-up with normal serum marker.

A Case Report of High-Risk Percutaneous Coronary Intervention of Left Main Coronary Artery With Cardiogenic Shock.

Acute total occlusion of the left main artery is a fatal event and is often accompanied by cardiogenic shock. Patients who experience this event have high mortality rates. Early percutaneous coronary intervention (PCI) with hemodynamic support has proven to improve clinical outcomes for these patients. Here we report a case of a 60-year-old man, who came into our emergency room with an acute anterior wall myocardial infarction accompanied by cardiogenic shock. He had a totally occluded left main artery on coronary angiography, necessitating cardiopulmonary resuscitation, followed by PCI with implantation of a drug-eluting stent along with hemodynamic support. Identification of typical ECG changes is crucial in patients with acute coronary syndrome caused by the occlusion of the left main coronary artery. A quick decision to perform a PCI procedure using early circulatory mechanical devices (intra-aortic balloon pump) is critical to patient survival.

How to suspect the presence of high-risk esophageal varices and when to start endoscopic surveillance in children with biliary atresia?

BACKGROUND AND AIM: Portal hypertension determines the outcome of children with biliary atresia (BA) and is common even after a successful Kasai portoenterostomy (KPE). However, there are no clear-cut guidelines on the age of starting surveillance and the modality (endoscopy vs non-invasive tests [NITs]). In this cohort study, we analyzed our database to find out the utility of NITs in detecting high-risk esophageal varices in BA. METHODS: From June 2010 to May 2022, consecutive children of BA who underwent upper gastrointestinal (UGI) endoscopy were included. Esophageal varices were classified as high-risk (grade II with red-color signs or grade III or IV irrespective of red-color signs. NITs such as splenomegaly (clinical and USG), platelet count, aspartate transaminase to platelet ratio index (APRI), and platelet-to-spleen diameter ratio were compared between cases with high-risk and low-risk varices. RESULTS: A total of 110 children, 75 boys (66 successful KPE and 44 failed/KPE not performed) were enrolled. The median age at KPE was 85 days (IQR 63-98). Thirteen (11.8%) children presented with UGI bleeding. The first endoscopy revealed gastroesophageal varices in 75.4% of cases, and 32% of them had high-risk varices. Multivariate analysis revealed failed KPE, history of UGI bleeding, bigger spleen size (> 3.5 cm), lower platelet count (< 150 000), and higher APRI (> 2) are independent predictors of the presence of high-risk esophageal varices. CONCLUSION: Endoscopy is the best in predicting the presence of high-risk varices that might bleed; hence, early surveillance endoscopy should be started in children with splenomegaly, thrombocytopenia, and high APRI score to prevent variceal bleeding.

Congenital pulmonary airway malformation manifesting with severe respiratory distress and pneumothorax in a neonate.

Congenital pulmonary airway malformation (CPAM) is congenital pulmonary anomaly characterized by multicystic areas, over-distension, and proliferation of terminal bronchioles with lack of normal alveoli. Clinical presentation may vary from mild respiratory symptoms to severe respiratory distress and frequent pneumothoraxes. We report a rare case of neonatal CPAM type I manifested with neonatal respiratory distress and pneumothorax, which was managed successfully with left lower lobectomy. Supplementary Information: The online version contains supplementary material available at 10.1007/s12055-023-01510-x.

A Survey on the Machine Learning Techniques for Automated Diagnosis from Ultrasound Images.

Medical diagnostic systems has recently been very popular and reliable because of possible automatic detections. The machine learning algorithm is evolved as a core tool of computer-aided diagnosis (CAD) for automatic early and accurate disease detections. The algorithm follows region of interest (ROI) selection followed by specific feature extractions and selection from medical images. The selected features are then fed to suitable classifiers for disease identification. The machine learning algorithm's performance depends on the features selected and the classifiers employed for the job. This paper reviews different feature extraction selection and classification techniques for CAD from ultrasound images. Ultrasonography (USG), due to its portability and its non-invasive nature, is the prime choice of doctors for prescribing as an imaging test. A survey on the USG imaging based on four major diseases is performed in this paper, whose diagnosis followed by automatic detection. Various techniques applied for feature extraction, selection, and classification by different authors to achieve improved accuracy are tabulated. For medical images, we found texture based gray-level extracted features and SVM (support vector machine) classifiers to be more significant in improving classification accuracy, even achieving 100% accuracy in many research articles. However, many research articles also suggest the importance of student's t-test in improving classification accuracy by selecting significant features from extracted features. The proposed algorithm's accuracy also depends on the quality of medical images, which are frequently degraded by the introduction of noise and artifacts while imaging acquisition. So, challenges in denoising are added in this paper as a separate topic to highlight the role of the machine learning algorithm in removing noise and artifacts from the USG images.

Development and validation wise assessment of genotype guided warfarin dosing algorithm in Indian population.

OBJECTIVES: A study was conducted to develop and validate the warfarin pharmacogenetic dose optimization algorithm considering the clinical pharmacogenetic implementation consortium (CPIC) recommendations for the Asian ethnicity population. METHODS: The present prospective observational study recruited warfarin-receiving patients. We collected a three ml blood sample for VKORC1, CYP2C9*2, CYP2C9*3, and CYP4F2 polymorphism assessment during the follow-up visits. Clinical history, sociodemographic and warfarin dose details were noted. RESULTS: The study recruited 300 patients (250 in derivation and 50 in validation timed cohort) receiving warfarin therapy. The baseline characteristics were similar in both cohorts. BMI, presence of comorbidity, VKORC1, CYP2C9*2, and CYP2C9*3 were identified as covariates significantly affecting the warfarin weekly maintenance dose (p<0.001 for all) and the same were included in warfarin pharmacogenetic dose optimization algorithm building. The algorithm built-in the present study showed a good correlation with Gage (r=0.57, p<0.0001), and IWPC (r=0.51, p<0.0001) algorithms, widely accepted in western side of the globe. The receiver operating characteristic curve analysis showed a sensitivity of 73 %, a positive predictive value of 96 %, and a specificity of 89 %. The algorithm correctly identified the validation cohort's warfarin-sensitive, intermediate reacting, and resistant patient populations. CONCLUSIONS: Validation and comparisons of the warfarin pharmacogenetic dose optimization algorithm have made it ready for the clinical trial assessment.

Computer-Aided Diagnosis of Various Diseases Using Ultrasonography Images.

This paper is an exhaustive survey of computer-aided diagnosis (CAD) system-based automatic detection of several diseases from ultrasound images. CAD plays a vital role in the automatic and early detection of diseases. Health monitoring, medical database management, and picture archiving systems became very feasible with CAD, assisting radiologists in making decisions over any imaging modality. Imaging modalities mainly rely on machine learning and deep learning algorithms for early and accurate disease detection. CAD approaches are described in this paper in terms of their significant tools; digital image processing (DIP), machine learning (ML), and deep learning (DL). Ultrasonography (USG) already has many advantages over other imaging modalities; therefore, CAD analysis of USG assists radiologists in studying it more clearly, leading to USG application over various body parts. So, in this paper, we have included a review of those major diseases whose detection supports "ML algorithm" based diagnosis from USG images. ML algorithm follows feature extraction, selection, and classification in the required class. The literature survey of these diseases is grouped into the carotid region, transabdominal & pelvic region, musculoskeletal region, and thyroid region. These regions also differ in the types of transducers employed for scanning. Based on the literature survey, we have concluded that texture-based extracted features passed to support vector machine (SVM) classifier results in good classification accuracy. However, the emerging deep learning-based disease classification trend signifies more preciseness and automation for feature extraction and classification. Still, classification accuracy depends on the number of images used for training the model. This motivated us to highlight some of the significant shortcomings of automated disease diagnosis techniques. Research challenges in CAD-based automatic diagnosis system design and limitations in imaging through USG modality are mentioned as separate topics in this paper, indicating future scope or improvement in this field. The success rate of machine learning approaches in USG-based automatic disease detection motivated this review paper to describe different parameters behind machine learning and deep learning algorithms towards improving USG diagnostic performance.

Percutaneous coronary intervention of anomalous right coronary arteries arising from the left sinus of Valsalva: a single-centre experience from Northern India.

Background: An anomalous right coronary artery (ARCA) arising from the left sinus of Valsalva is an uncommon congenital anomaly. The unusual location, take-off and intramural courses of ARCA pose a considerable technical challenge during percutaneous coronary intervention (PCI). Aims: We sought to report our experience of PCI of ARCA in 35 cases of atherosclerotic occlusion. Methods: The PCI database of 35 cases of ARCA was retrospectively analysed. The details about demography, clinical presentation, PCI procedure and clinical follow-up were noted. Results: The mean age was 56.7±13.5 years. The clinical presentation included stable angina in 45.7%, unstable angina in 20% and acute myocardial infarction in 34.3% of patients. Vascular access was transradial in 37.1% of cases, transfemoral in 60% of cases, and transbrachial in 1 case (2.9%). Judkins left and Amplatz left were commonly used guide catheters. Two patients with balloon-uncrossable, calcified lesions required rotablation-assisted PCI. Intravascular imaging was performed in 12 patients (34.3%). Optical coherence tomography demonstrated a proximal intramural course in 3 patients, and a slit-like orifice in 4 patients. The mean radiation dose and fluoroscopy time were 877±687.3 mGy and 18.8±11.6 minutes, respectively. Twenty-eight (80%) patients had an asymptomatic median follow-up of 49 (interquartile range: 29.0-97.5) months. Conclusions: We performed successful PCI in a cohort of 35 patients with ARCA, with favourable long-term clinical outcomes. The selection of an appropriate guide catheter and technical skills were important factors in achieving favourable results.

Neuroblastic tumours in children: Outcome from a referral centre in India.

Background: There is a paucity of uniform literature on the outcome of children with neuroblastic tumours from developing countries. This study aims to present the outcome in children having neuroblastic tumours. Materials and Methods: We retrospectively reviewed patients with neuroblastic tumours from January 2014 to March 2020. Data analysed were pertaining to the age, sex, presentation, site, stage, diagnostic evaluation performed, management and follow-up results, etc., The final outcomes were assessed as complete response; partial response (PR); no response (NR) and progressive disease. International Neuroblastoma Risk Group staging was used and patients were categorised on the basis of age, site and stage of tumour. Overall survival (OS) was calculated from the date of diagnosis to the date of last follow-up and event for OS was death. Results: Forty-seven patients were included with median age of 60 months (ranges of 2-180; mean = 61.87 ± 47.56). About 72.3% (n = 34) patients were males. Out of total, 6.4% (n = 3), 53.2% (n = 25) and 38.3% (n = 18) were in stage L1, L2 and M, respectively, whereas 2.1% (n = 1) patients were in stage MS. Surgery was performed in 25 (53.19%) patients, but gross total excision was achieved in 48.90% (n = 23) patients. Onlu 10.60% (n = 5) patients were referred, whereas 14.89% (n = 7) patients reported recurrences. Mean and median follow-up time of the patients was 24.64 ± 16.04 and 18 months (range: 3-60 months). Out of total, 53.2% (n = 25) and 29.8% (n = 14) patients had complete and PRs, respectively, whereas 17% (n = 8) patients had NR. Out of the total 47 patients, 8 (17%) achieved events (deaths), whereas the rest, 39 (83%) patients, were censored. Mean event-free OS time was 50.04 months. Conclusion: There was a significant difference in patient deaths in recurrence and non-recurred patients (4/7, 57.1% vs. 4/40/, 10%, P = 0.011). Survival time was significantly higher in patients with stages L1-L2 as compared to Stage 4. Stage and age were found predictors of survival.

Efficacy of Early Enteral Nutrition on Gastrointestinal Surgery Outcomes: A Systematic Review and Meta-Analysis.

Congenital anomalies, congenital malformations, or birth defects can be defined as any structural or functional anomalies that develop prenatally and could be identified before, at birth, or later in life. Approximately 6% of babies are born with a congenital anomaly, which results in 2.4 million newborn deaths worldwide. This systematic review and meta-analysis ascertained the quantitative studies published in PubMed, ClinicalKey, Embase, CINAHL, Cochrane Library, and Google Scholar. Two authors independently screened and extracted the data from the primary studies that analyzed the efficacy of early enteral nutrition (EEN) on the postoperative outcome. This systematic review and meta-analysis adopted Cochrane Collaboration guidelines and reported using the Preferred Reporting Items for Systematic review and Meta-Analysis (PRISMA) statement. The methodological quality of trials was assessed by Cochrane Collaboration's risk of bias tool. Six trials, representing 488 children, with age ranging from 10 days to 6.5 years, fulfilled the inclusion criteria. EEN has significantly shortened hospital stay, induced early fecal movement, and reduced postoperative wound infections in children with congenital gastrointestinal abnormalities undergoing gastrointestinal anastomosis compared with children who received late enteral nutrition. The review also found that the experimental group who received EEN had no significant impact on the anastomosis leakage, vomiting, and abdominal distension. EEN has some positive effects on postsurgery outcomes among children with congenital gastrointestinal anomalies undergoing gastrointestinal anastomosis.

Low-latency and High-Reliability FBMC Modulation scheme using Optimized Filter design for enabling NextG Real-time Smart Healthcare Applications.

This paper presents a prototype filter design using the orthant optimization technique to assist a filter bank multicarrier (FBMC) modulation scheme of a NextG smart e-healthcare network framework. Low latency and very high reliability are one of the main requirements of a real-time e-healthcare system. In recent times, FBMC modulation has gotten more attention due to its spectral efficiency. The characteristics of a filter bank are determined by t's, prototype filter. A prototype filter cannot be designed to achieve an arbitrary time localization (for low latency) and frequency localization (spectral efficiency), as time and frequency spreading are conflicting goals. Hence, an optimum design needed to be achieved. In this paper, a constraint for perfect or nearly perfect reconstruction is formulated for prototype filter design and an orthant-based enriched sparse ℓ1-optimization method is applied to achieve the optimum performance in terms of higher availability of subcarrier spacing for the given requirement of signal-to-interference ratio. Larger subcarrier spacing ensures lower latency and better performance in real-time applications. The proposed FBMC system, based on an optimum design of the prototype filter, also supports a higher data rate as compared to traditional FBMC and OFDM systems, which is another requirement of real-time communication. In this paper, the solution for the different technical issues of physical layer design is provided. The presented modulation scheme through the proposed prototype filter-based FBMC can suppress the side lobe energy of the constituted filters up to large extent without compromising the recovery of the signal at the receiver end. The proposed system provides very high spectral efficiency; it can sacrifice large guard band frequencies to increase the subcarrier spacing to provide low-latency communication to support the real-time e-healthcare network.

Appendectomy in Management of Malrotation of Gut is it Necessary?

Introduction: Malrotation is a congenital anatomical anomaly that affects the normal positioning of the intestines. Traditional management of malrotation, as described by Ladd, consists of detorsion of the volvulus if present, division of Ladd's bands, widening of the mesenteric root, proper positioning of the small and large bowels, and a prophylactic appendectomy. This study was done to determine whether appendectomy should be an integral part of the Ladds procedure or if it can be avoided. Materials and Methods: This retrospective observational study was conducted in one pediatric surgical unit in the tertiary care center of North India. All the cases of malrotation of the gut managed from January 2008 to December 2018 were reviewed. The details of the patients were recovered from the electronic data recording system of the hospital and manual operation theater records. The cases that have a follow-up of <5 years were not included in the study. The details were charted in an Excel Sheet for the analysis. No statistical test was performed because there was no event in patients in whom prophylactic appendectomy was not done. Results: The data analysis revealed that a total of 66 malrotation patients were managed during this period, those who fulfilled the inclusion criteria. Among 66 cases included in the study, in 41 cases, prophylactic appendectomy was done, whereas in the rest 25, prophylactic appendectomy was not done. During the follow-up, none of the patients in whom the appendix was preserved presented with signs or symptoms related to appendicitis or any other complications. Conclusion: Ladds procedure without appendectomy can be performed in view of the potential use of the appendix in the future, and with the fact that in the current era of advanced medicine, appendicitis can be diagnosed early due to the advancement of imaging and better record keeping.

Good view frames from ultrasonography (USG) video containing ONS diameter using state-of-the-art deep learning architectures.

This paper presents an automated method for detection of the diagnostically prominent frames containing optic nerve sheath (ONS) from ocular ultrasonography video using deep learning; such frames are referred to as "Good View" frames in this paper. Vivid acquisition and measurement of diagnostic features during ultrasound imaging is a challenging task; it needs a highly skilled and experienced medical expert. Automated detection of the Good View frame and the subsequent automatic measurement of optic nerve sheath diameter (ONSD), predicting elevated intracranial pressure (ICP) status, will eliminate the need for frequent intervention of a medical expert for continuous monitoring and ICP status in traumatic patients. In the presented work, the proposed model automatically detects the appropriate frames containing ONS, from an ultrasound video, by using faster region-based CNN (Faster R-CNN) object detection model. The region proposal detection network finds the ONS by using bounding boxes. In addition, three CNN-based architectures are used for its feature extraction. Finally, SoftMax classifier classifies the ONS containing Good View frame. The Inceptionv2, ResNet50, and ResNet101 architectures are then compared by utilizing the optimized learning rate and epoch parameters for the CNN model so as to provide better detection of the Good View frame. The performance of the developed module has been analyzed by proposing a grading criterion of the Good View frame. Based on the detection score and mean opinion score, an USG frame is considered a Good View for a 95-99% detection score, and this Good View frame is used for measuring the ONSD value. It is found that Faster R-CNN ResNet101 (model 3) is an optimal model in terms of sensitivity and specificity for Good View frame detection at a learning rate of 0.0003. The sensitivity and specificity of this model are obtained as 90.41 and 91.45, respectively. Furthermore, the ONSD value is measured from Good View-detected frames using an automated algorithm involving image processing and computational methods. Considering the Good View frame (detection score 95-99), the algorithm-generated ONSD values are compared with the radiologist's measured value of ONSD to validate the findings; a small percent root mean square difference (PRD) of 0.501 is found between these values, which is strong indicative of the accuracy of algorithm generated ONSD measurement using automatically detected Good View ocular USG frames.

Balloon Mitral Valvotomy With the Accura Double-Lumen Balloon Catheter: Immediate and One-Year Clinical Outcomes.

Objective Despite the decline in the incidence of rheumatic heart disease in developed countries, the disease still remains endemic among individuals of low socioeconomic status. The aim of the study is to assess immediate and one-year outcomes of balloon mitral valvotomy using the double-lumen Accura balloon (Vascular Innovations Co., Nonthaburi, Thailand) in patients with mitral valve stenosis. Methods This was a single-centre, observational, investigator-initiated retrospective study. All consecutive patients undergoing balloon mitral valvotomy with the Accura balloon between January 2015 and June 2020 were included. The primary endpoint was procedural success defined as an increase in mitral valve area (MVA) ≥50% from basal valve area or final valve area of ≥1.5 cm2, in the absence of mitral regurgitation grade >2. Clinical, echocardiographic, and haemodynamic parameters were assessed at the one-year follow-up. Results A total of 62 patients underwent balloon mitral valvotomy. The mean age was 34.9 ± 8.0 years, and 54 (87.1%) patients were female. Mean Wilkins' echo score was 7.5 ± 0.5. Procedural success was achieved in 59 (96.7%) patients. Mean MVA increased from 0.75 ± 0.14 cm2 to 1.64 ± 0.21 cm2, and mean mitral valve gradient decreased from 24.9 ± 5.5 mmHg to 7.30 ± 1.40 mmHg. Atrial fibrillation, mitral valve replacement, and moderate to severe mitral regurgitation occurred in 36 (59.0%), two (3.3%), and two (3.3%) patients, respectively. No death, cerebrovascular accidents, restenosis, or redo procedures occurred. Conclusion Balloon mitral valvotomy using the double-lumen Accura balloon is safe in patients with mitral valve stenosis.

Development of portable and robust cataract detection and grading system by analyzing multiple texture features for Tele-Ophthalmology.

This paper presents a low cost, robust, portable and automated cataract detection system which can detect the presence of cataract from the colored digital eye images and grade their severity. Ophthalmologists detect cataract through visual screening using ophthalmoscope and slit lamps. Conventionally a patient has to visit an ophthalmologist for eye screening and treatment follows the course. Developing countries lack the proper health infrastructure and face huge scarcity of trained medical professionals as well as technicians. The condition is not very satisfactory with the rural and remote areas of developed nations. To bridge this barrier between the patient and the availability of resources, current work focuses on the development of portable low-cost, robust cataract screening and grading system. Similar works use fundus and retinal images which use costly imaging modules and image based detection algorithms which use much complex neural network models. Current work derives its benefit from the advancements in digital image processing techniques. A set of preprocessing has been done on the colored eye image and later texture information in form of mean intensity, uniformity, standard deviation and randomness has been calculated and mapped with the diagnostic opinion of doctor for cataract screening of over 200 patients. For different grades of cataract severity edge pixel count was calculated as per doctor's opinion and later these data are used for calculating the thresholds using hybrid k-means algorithm, for giving a decision on the presence of cataract and grade its severity. Low value of uniformity and high value of other texture parameters confirm the presence of cataract as clouding in eye lens causes the uniformity function to take lower value due to presence of coarse texture. Higher the edge pixel count value, this confirms the presence of starting of cataract as solidified regions in lens are nonuniform. Lower value corresponds to fully solidified region or matured cataract. Proposed algorithm was initially developed on MATLAB, and tested on over 300 patients in an eye camp. The system has shown more than 98% accuracy in detection and grading of cataract. Later a cloud based system was developed with 3D printed image acquisition module to manifest an automated, portable and efficient cataract detection system for Tele-Ophthalmology. The proposed system uses a very simple and efficient technique by mapping the diagnostic opinion of the doctor as well, giving very promising results which suggest its potential use in teleophthalmology applications to reduce the cost of delivering eye care services and increasing its reach effectively. Developed system is simple in design and easy to operate and suitable for mass screening of cataracts. Due to non-invasive and non-mydriatic and mountable nature of device, in person screening is not required. Hence, social distancing norms are easy to follow and device is very useful in COVID-19 like situation.