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Objective The objective of this study was to assess the initial results of chest computed tomography (CT) standardized diagnostic criteria proposed by the Radiological Society of North America in coronavirus disease 2019 (COVID-19) compared with reverse transcription–polymerase chain reaction (RT-PCR). Methods Seventy-one patients who underwent RT-PCR test for COVID-19 and chest CT within an interval of 4 days or less were included. Seventy-five CTs were reviewed and classified as typical, indeterminate, or atypical appearance or negative for pneumonia by 2 radiologists. With RT-PCR as reference standard, the performance of the CT diagnostic criteria in diagnosing COVID-19 was assessed. Results The prevalence of positive RT-PCR was 45.1%. It was obtained a sensitivity of 83% (95% confidence interval [CI], 78%–89%), a specificity of 97% (95% CI, 92%–99%), an accuracy of 91% (95% CI, 85%–96%), a positive predictive value of 97% (95% CI, 91%–99%), and a negative predictive value of 86% (95% CI, 80%–92%). The diagnostic performance was excellent, considering the area under the curve of 0.92 (95% CI, 0.84–0.99). Conclusions Chest CT standardized diagnostic criteria had high specificity and positive predictive value for the diagnosis of COVID-19 when presenting a typical appearance.

A giant cell tumor (GCT) is an intermediate grade, locally aggressive neoplasia. Despite advances in surgical and clinical treatments, cases located on the spine and pelvic bones remain a significant challenge. Failure of clinical treatment with denosumab and patient refusal of surgical procedures (hemipelvectomy) led to the use of cryoablation. We report the use of percutaneous CT-guided cryoablation as an alternative treatment, shown to be a minimally invasive, safe, and effective option for a GCT with extensive involvement of the pelvic bones and allowed structural and functional preservation of the involved bones.

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We demonstrated that 3D-T(1rho) MRI of the shoulder can be performed on a 3 T clinical scanner within specific absorption rate (SAR) limits, and we present baseline values for healthy patients which may be useful for quantitative comparison with diseased shoulders.