Browsing by Author "Alegria, Julia"
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Item Crossing the barrier: when the diaphragm is not a limit(American Roentgen Ray Society, 2013) Lidid, Leonardo; Valenzuela, Juan; Villarroel, Carlos; Alegria, JuliaOBJECTIVE: The purpose of this article is to depict the anatomic pathways along which transphrenic spread of diseases and entities can disseminate. CONCLUSION: The abdomen and thorax form a continuum on which the diaphragm is an important but incomplete barrier to disease migration.Item Epipericardial Fat Necrosis: Sonographic Findings and Their Correlation With Computed Tomography(John Wiley & Sons, 2016) Diaz, Jorge; Alegria, Julia; Perez, Daniel; Medina, CristianEpipericardial fat necrosis is a rare cause of chest pain. It presents as pleuritic pain in an otherwise healthy patient. Computed tomography has proved to be the most effective diagnostic imaging technique because of its ability to reveal typical alterations in the cardiophrenic space. As far as we know, sonographic findings concerning this entity have not been reported in the literature. We report 4 cases admitted to our institutional emergency department with chest pain. Among other tests, chest wall sonography was requested in these patients and showed special findings that should be evaluated with chest computed tomography.Item RSNA-STR-ACR Consensus Statement for COVID-19 CT Patterns: Interreader Agreement in 240 Consecutive Patients and Association With RT-PCR Status(2021) Silva F., Claudio; Alegria, Julia; Ramos, Cristóbal; Verdugo, Jaime; Díaz, Juan-Carlos; Varela, Cristian; Barbe, MarioPurpose: The aim of this study was to study interreader agreement of the RSNA-STR-ACR (Radiological Society of North America/Society of Thoracic Radiology/American College of Radiology) consensus statement on reporting chest computed tomography (CT) findings related to COVID-19 on a sample of consecutive patients confirmed with reverse transcriptase–polymerase chain reaction (RT-PCR) for severe acute respiratory syndrome coronavirus 2. Materials and Methods: This institutional review board–approved retrospective study included 240 cases with a mean age of 47.6 ± 15.9 years, ranging from 20 to 90 years, who had a chest CT and RT-PCR performed. Computed tomography images were independently analyzed by 2 thoracic radiologists to identify patterns defined by the RSNA-STR-ACR consensus statement, and concordance was determined with weighted κ tests. Also, CT findings and CT severity scores were tabulated and compared. Results: Of the 240 cases, 118 had findings on CT. The most frequent on the RT-PCR–positive group were areas of ground-glass opacities (80.5%), crazy-paving pattern (32.2%), and rounded pseudonodular ground-glass opacities (22.9%). Regarding the CT patterns, the most frequent in the RT-PCR–positive group was typical in 75.9%, followed by negative in 17.1%. The interreader agreement was 0.90 (95% confidence interval, 0.80–0.96) in this group. The CT severity score had a mean difference of −0.07 (95% confidence interval, −0.48 to 0.34) among the readers, showing no significant differences regarding visual estimation. Conclusions: The RSNA-STR-ACR consensus statement on reporting chest CT patterns for COVID-19 presents a high interreader agreement, with the typical pattern being more frequently associated with RT-PCR–positive examinations