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Introduction: Computerized tomography (CT) is a crucial technique for determining the severity of COVID-19. Ground glass opacities (GGO), crazy-paving patterns, and parenchymal consolidations are the most frequent patterns. Fibrosis, subpleural lines, the reversed "halo sign," pleural effusion, and lymphadenopathy are additional related CT features. The course and severity of the disease are related to CT results in COVID-19 patients. For patients with COVID-19, evaluation of laboratory and chest CT imaging features for prognostic prediction would be benecial for a better knowledge of disease pathogenesis, risk stratication, and the development of early treatment plans that ultimately minimise mortality Materials and Methods: Present study was performed on 100 laboratory conrmed cases of COVID–19 diagnosed on reverse transcriptase-quantitative polymerase chain reaction (RT-qPCR). Cases were divided into two groups based on clinical disease severity scoring based on the criteria provided by Chinese Centre of Disease Control (CDC)5 as Group A (Disease presenting with dyspnoea, respiratory rate ≥ 30/min and SpO2 ≤ 93%) and Group B (Disease presenting with mild symptoms without dyspnoea, respiratory rate < 30/ min and SpO2 > 93 %). Patients Information on demography, clinical data with symptoms, comorbidity and disease severity were collected. CT Chest was sent in every patient at the time of admission. Observations and Results: Right and left lower lobe was affected in majority i.e 47 (47 %) and 52 (52 %) respectively. In group A moderate 25 (25 %) and severe CT 17 (17 %) score was found in majority whereas in group B mild 33 (33 %) CT score was in majority. Result was statistically signicant (P<0.00001). Ground glass opacity was the main CT pattern found in majority 47 (47 %). In group B compared to group A maximum patients got discharged within 10 days. Also ICU admissions were less 1 (1 %). Result was statistically signicant (P=0.008) Conclusion: Temporal changes of chest CT features and severity scores were closely associated with the outcome of COVID-19, which may be valuable for early identication of severe cases and eventually reducing the morbidity of COVID-19

Doppler ultrasonography is the main modality for imaging of hemodialysis AV stula as it is safe and non-invasive. This study is to measure the Arterio-venous (AV) stula blood ow during early postoperative period (0–7days) and assess its role in AV stula failure prediction. Doppler ultrasonography was used to estimate the blood ow in the AV stula of 50 patients at (0–7days) after the stula was made. The blood ow in stula during early postoperative period for stula failure was evaluated, and long term failure was predicted. Method Blood ow rates measured in arteriovenous stula created in upper extremity were measured in rst week and sixth week post-operative. Results After follow up evaluation out of 50 patients, 40 stulas considered to be matured; 10 considered failed. 30% failure were males and 70% were female. In early post operative period, cut off was set at 182 ml/min and the sensitivity of blood ow for prediction of stula failure is 98%, specicity 90 %, PPV 95% and NPV 90%. Conclusion Measurements of the AV stula blood ow in proximal artery and draining vein with its diameter of lumen were noted in the early postoperative period has a role predicting AV stula failure. There is risk of failure if the blood ow less than 182 ml/min (day 0–7).

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Background: More than 80% of all primary hepatic malignancies are hepatocellular carcinoma. Identification of a liver lesion depends on the attenuation difference between normal liver and the lesion. CT helps in detecting tumors and their size in liver quiet successfully. Accurate detection of liver mass is crucial for the deciding the treatment regimens. Objective: The study was undertaken to compare the results of CT-scan to histopathology findings. Methodology: This cross-sectional study was carried out in the Department of Radiodiagnosis and Imaging, Dr. Vitthalrao Vikhe Patil Foundation’s Medical College, Ahmednagar in association with Department of pathology of the concerned institute for histopathological diagnosis from 01-03-2014 to 28-02-2015 for a period of one year. Patients having hepatic mass of any sex or age presenting in the hospital were included in the study. The exclusion criteria were as patients refusing consent, or CT-scan and/or biopsy, known adverse reaction to contrast agent. CT scan and histopathology were done in all the subjects. Result: 50 subjects were studied in this study. Mean age of all subjects was 52.88 ± 16.03 years with a range of 18 year to 85 years. 40 cases were male in the study group. Maximum number of cases were in the age group 40-59 years. Out of 28 confirmed malignant cases by histopathology, 27 cases were diagnosed as malignant by CT scan too. Sensitivity of CT to diagnose malignant lesion was 96.4%, specificity 86.4%, accuracy 92%, positive predictive value 90% and negative predictive value 95%. Conclusion: CT scan can be used as a tool for the detecting of malignant liver masses.