TO-LAB model: Real time Touchless Lung Abnormality detection model using USRP based machine learning algorithm.

BACKGROUND: Due to the increasing prevalence of respiratory diseases and the importance of early diagnosis. The need for non-invasive and touchless medical diagnostic solutions has become increasingly crucial in modern healthcare to detect lung abnormalities. OBJECTIVE: Existing methods for lung abnormality detection often rely on invasive and time-consuming procedures limiting their effectiveness in real-time diagnosis. This work introduces a novel Touchless Lung Abnormality (TO-LAB) detection model utilizing universal software radio peripherals (USRP) and machine learning algorithms. METHODS: The TO-LAB model integrates a blood pressure meter and an RGB-D depth-sensing camera to gather individual data without physical contact. Heart rate (HR) is analyzed through image conversion to IPPG signals, while blood pressure (BP) is obtained via analog conversion from the blood pressure meter. This touchless imaging setup facilitates the extraction of essential signal features crucial for respiratory pattern analysis. Advanced computer vision algorithms like Mel-frequency cepstral coefficients (MFCC) and Principal Component Analysis (PCA) process the acquired data to focus on breathing abnormalities. These features are then combined and inputted into a machine learning-based Multi-class SVM for breathing activity analysis. The Multi-class SVM categorizes breathing abnormalities as normal, shallow, or elevated based on the fused features. The efficiency of this TO-LAB model is evaluated with the simulated and real-time data. RESULTS: According to the findings, the proposed TO-LAB model attains the maximum accuracy of 96.15% for real time data; however, the accuracy increases to 99.54% for simulated data for the efficient classification of breathing abnormalities. CONCLUSION: From this analysis, our model attains better results in simulated data but it declines the accuracy while processing with real-time data. Moreover, this work has a significant medical impact since it presents a solution to the problem of gathering enough data during the epidemic to create a realistic model with a large dataset.

Management of Biliary Cysts in Adults: A Single-Center 10-Year Experience.

BACKGROUND: A choledochal cyst is a cystic dilatation of the biliary tree, also termed a biliary cyst, including an intrahepatic cyst as well. Magnetic resonance cholangiopancreatography (MRCP) is the gold standard investigation of choice for this pathology. Todani classification is most commonly used to classify choledochal cysts. MATERIALS AND METHODS: A total of 30 adult patients with choledochal cysts presenting at our center from December 1, 2009, to October 31, 2019, were studied retrospectively. RESULTS: The mean age was 35.13 years ranging from 18 to 62 years with a male-to-female ratio of 1:3.29. Of the patients, 86.6% presented with abdominal pain. Total serum bilirubin was raised in six patients with a mean of 1.84 mg/dL. MRCP was done in all patients, which had almost 100% sensitivity. Two cases had anomalous pancreaticobiliary duct union. In our study, we found only type I and type IVA cysts according to the Todani classification (type IA = 56.3%, IB = 11%, 1C = 16%, and IVA = 17%). The mean size of the cyst was 2.37 cm. Complete cyst excision with Roux-en-Y hepaticojejunostomy was performed in all patients. Four patients had surgical site infections and two had bile leaks. One patient developed hepatic artery thrombosis. All complications were eventually managed conservatively. Mortality was nil in our study with the mean postoperative stay being 7.97 days. CONCLUSION: Adult presentation of biliary cysts is not an uncommon entity in the Indian population and should be considered as a differential diagnosis of biliary pathology in adult patients. Complete excision of cysts with bilioenteric anastomosis is the current treatment of choice.

Esophageal tuberculosis presenting with hematemesis.

Esophageal tuberculosis is rare, constituting about 0.3% of gastrointestinal tuberculosis. It presents commonly with dysphagia, cough, chest pain in addition to fever and weight loss. Complications may include hemorrhage from the lesion, development of arterioesophageal fistula, esophagocutaneous fistula or tracheoesophageal fistula. There are very few reports of esophageal tuberculosis presenting with hematemesis due to ulceration. We report a patient with hematemesis that was due to the erosion of tuberculous subcarinal lymph nodes into the esophagus. A 15-year-old boy presented with hemetemesis as his only complaint. Esophagogastroduodenoscopy (EGD) revealed an eccentric ulcerative lesion involving 50% of circumference of the esophagus. Biopsy showed caseating epitheloid granulomas with lymphocytic infiltrates suggestive of tuberculosis. Computerised tomography of the thorax revealed thickening of the mid-esophagus with enlarged mediastinal lymph nodes in the subcarinal region compressing the esophagus along with moderate right sided pleural effusion. Patient was treated with anti-tuberculosis therapy (Rifampicin, Isoniazid, Pyrazinamide, Ethambutol) for 6 mo. Repeat EGD showed scarring and mucosal tags with complete resolution of the esophageal ulcer.