Objective: To analyze radiological changes in portable chest radiographs in coronavirus disease-19(COVID-19) patients to optimize the management of hospitalized patients. Methods: We retrospectively reviewed 638 portable radiographs of 422 hospitalized COVID-19 patients with RT-PCR confirmed COVID-19 infection. All the radiographs were reported in a structured format by two experienced radiologists. A severity score was assigned to every Chest Xray (CXR) and correlation was done with the CT scans whenever available. Results: Out of 422 baseline portable radiographs assessed, the ratio of male: female patients was 337:85 that is 79.8% were males and 20.14% were females. The mean age was 50.5 years and the range was 17–84 years. Of these 422 patients, 187 patients (44.3%) had abnormal baseline CXR. 161 out of 187 (86%) had either typical or indeterminate findings for COVID-19 pneumonia, rest 26 (13.9%) patients had CXR findings not consistent with COVID-19, like pleural effusion, hydropneumothorax, or lung cavity. Most commonly observed CXR findings in COVID 19 pneumonia were bilateral, multifocal air space opacities (consolidation and ground-glass opacities) predominantly involving lower zones and peripheral lung fields. X-ray identifiable lung changes of COVID-19 were mostly seen at 9-11 days after symptom onset. Conclusion: The presence of multifocal air-space opacities with bilateral, peripheral distribution on chest radiograph is highly suggestive of COVID-19 pneumonia in this pandemic setting. Portable chest radiography is a widely available and quicktool for estimating the evolution and assessing the severity of lung involvement of COVID-19 pneumonia in hospitalized symptomatic patients.

Background: Shoulder pain is third most common presenting complaint due to which a person visits Orthopedic clinic [1] and referred to the radiodiagnosis department for the shoulder USG and MRI. Aims and Objectives: This study aims to assess the accuracy of high resolution ultrasound with MRI ndings as gold standard. Materials and method: 150 patients with shoulder pain referred to Department of Radiology fullling the inclusion criteria were included in the study. USG shoulder and MRI was performed and ndings were recorded.. Results: Amongst 150 patients, 105 were males(70%) and 45 were female(30%).The patient age ranged from 14 years to 80 yr. rotator cuff tears was the far most common pathology detected by USG ,later conrmed by MRI . Conclusion: The presentstudy concludes that USG is as sensitive and specic to MRI in detection of shoulder joint pathology as compare to MRI .

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Introduction: There are certain uncommon large thoracic masses sharing overlapping radiological features with commoner ones except few salient characteristic features. Diagnosing these uncommon tumours has practical implications for patient management and prognosis including obviating unnecessary surgeries. Aim: To demonstrate characteristic Computed Tomography (CT) features of large common and certain uncommon intra-thoracic masses Materials and Methods: A retrospective cross-sectional search was done in January 2020, from the archives of patients record in Radiology Department from December 2017 to January 2019 for intra-thoracic tumours. Those tumors or masses meeting inclusion criteria were analysed by two radiologists who were blinded about the histopathologic reports. A probable radiological diagnosis was made and it was later matched-up with the histopathologic reports to reach to a confirmed diagnosis. The unique CT features were separately tabulated and their p-value for a particular diagnosis was calculated using Fisher’s-exact test. Results: Out of total 23 cases studied, 12 bronchogenic carcinomas and 11 uncommon diagnoses including Solitary fibrous tumour, Synovial sarcoma, Pulmonary blastoma, Askin’s tumour, Schwannoma and Metastasis were found. Subtle rib erosion in Askin’s tumour (p-value=0.004), intra-tumoural vessels in Synovial sarcomas (p-value=0.0006) and intense enhancement in some non-bronchogenic tumours (p-value=0.0137) were found to be significantly associated features. Conclusion: When encountering an opaque hemithorax on chest radiograph and a large mass on CT, one should look for certain peculiar features of these unusual lung masses to suggest them as a differential diagnosis, as “Our eyes see only what our mind knows”.