WRITINGS

teleradiology
Utility of contemporaneous dual read in the setting of emergency teleradiology reporting
Abstract Purpose: Emergency radiology requires rapid and accurate interpretation of imaging examinations. Missed findings may lead to adverse outcomes. Double reporting may be used to minimize errors....
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Multi-detector CT in the pre-operative assessment of live donors for liver transplantation
Abstract Background: Transplantation surgeons are now performing living donor liver transplantation because of the severe shortage of cadaveric livers. This study was undertaken to assess the role...
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MDCT appearance of Organoaxial, Mesenteroaxial Types of Gastric Volvulus
Abstract Introduction: Gastric volvulus is a rare cause of acute or recurring abdominal pain in adults, with significantmortality and morbidity. Gastric volvulus is rotation of stomach along its axis,...
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Evaluating patients with pulmonary thromboembolism: a retrospective study on the utilization of serum D-dimer assay and CT angiography
Abstract Background and objective: Serum D-dimer assay is an inexpensive laboratory test with a high negative predictive value, obviating the need for computed tomographic pulmonary angiography (CTPA)...
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Validation of expert system enhanced deep learning algorithm for automated screening for COVID-Pneumonia on chest X-rays
Abstract The coronavirus disease of 2019 (COVID-19) pandemic exposed a limitation of artificial intelligence (AI) based medical image interpretation systems. Early in the pandemic, when need was greatest,...
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Interobserver Variation in Response Evaluation Criteria in Solid Tumors
Abstract Purpose: Response Evaluation Criteria in Solid Tumors (RECIST 1.1) is the gold standard for imaging response evaluation in cancer trials. We sought to evaluate consistency of applying RECIST...
Pneumothorax Detection and Classification on Chest Radiographs using Artificial Intelligence
Pneumothorax Detection and Classification on Chest Radiographs using Artificial Intelligence
Abstract In recent years, Computer Aided Diagnosis (CAD) systems have been designed for the detection of lung space anomalies.Pneumothorax is an abnormal collection of air in the pleural space between...
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Pneumonia Detection and Classification on Chest Radiographs using Deep Learning
Abstract Computer Aided Diagnosis (CAD) is progressively becoming a reliable tool in enhancing the productivity and accuracy of a radiologist in detecting abnormalities on chest radiographs. Detection...
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