Dataset Information

Three unsuspected CT diagnoses of COVID-19.

ABSTRACT: PURPOSE:Coronavirus disease 2019 (COVID-19) is caused by a novel strain of coronavirus named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that has quickly spread around the globe. Health care facilities in the USA currently do not have an adequate supply of COVID-19 tests to meet the growing demand. Imaging findings for COVID-19 are non-specific but include pulmonary parenchymal ground-glass opacities in a predominantly basal and peripheral distribution. METHODS:Three patients were imaged for non-respiratory-related symptoms with a portion of the lungs in the imaged field. RESULTS:Each patient had suspicious imaging findings for COVID-19, prompting the interpreting radiologist to suggest testing for COVID-19. All 3 patients turned out to be infected with COVID-19, and one patient is the first reported case of the coincident presentation of COVID-19 and an intraparenchymal hemorrhage. CONCLUSION:Using imaging characteristics of COVID-19 on abdominal or neck CT when a portion of the lungs is included, patients not initially suspected of COVID-19 infection can be quarantined earlier to limit exposure to others.

SUBMITTER: Vu D

PROVIDER: S-EPMC7152619 | biostudies-literature | 2020 Jun

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Three unsuspected CT diagnoses of COVID-19.

Vu David D Ruggiero Maryanne M Choi Woo Sung WS Masri Daniel D Flyer Mark M Shyknevsky Inna I Stein Evan G EG

Emergency radiology 20200413 3

<h4>Purpose</h4>Coronavirus disease 2019 (COVID-19) is caused by a novel strain of coronavirus named severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) that has quickly spread around the globe. Health care facilities in the USA currently do not have an adequate supply of COVID-19 tests to meet the growing demand. Imaging findings for COVID-19 are non-specific but include pulmonary parenchymal ground-glass opacities in a predominantly basal and peripheral distribution.<h4>Methods</h4>Th ...[more]

PMID: 32285222

Similar Datasets

Project description:BackgroundThe coronavirus disease 2019 (COVID-19) pandemic has been accompanied by significant reductions in patient volumes for non-COVID-19-related conditions ranging from acute coronary syndrome to ischemic strokes to acute trauma. However, the impact of the COVID-19 pandemic on patient volumes for a broad range of orthopedic conditions remains unknown. The purpose of this study was to investigate the association of the COVID-19 pandemic with changes in patient volumes of 35 emergent (e.g. dislocations, open fractures), urgent (e.g. fractures), and nonurgent orthopedic conditions (e.g. osteoarthritis, sprains).MethodsA retrospective interrupted time-series analysis of patient volumes was conducted for 35 orthopedic conditions based on ICD-10 diagnosis codes. Patient hospitalizations and new problem visits were aggregated across two institutions in New York state, including one urban tertiary care orthopedic hospital, one urban academic medical center, and all state outpatient facilities affiliated with the orthopedic institution. Patient volumes in the COVID-19 peak period (03/2020-05/2020) and COVID-19 recovery period (06/2020-10/2020) were compared against pre-COVID-19 vol (01/2018-02/2020).ResultsOverall, 169,047 cases were included in the analysis across 35 conditions with 3775 emergent cases, 6376 urgent cases, and 158,896 nonurgent cases. During the COVID-19 peak period, patient caseloads for 1 out of 7 emergent conditions (p = 0.02) and 26 out of 28 urgent and nonurgent conditions (p < 0.05) were significantly reduced compared to the pre-COVID-19 period. During the COVID-19 recovery period, patient volumes in 3 out of 13 emergent and urgent conditions (p < 0.03) and 11 out of 22 nonurgent conditions (p < 0.04) were decreased compared to pre-COVID-19 vol.ConclusionsThis study found that the pandemic was associated with considerable changes in patient patterns for non-COVID-19 orthopedic conditions. The long-term effects of patient volume reductions on both patient outcomes and orthopedic health systems remain to be seen.Level of evidenceCohort study; level of evidence IV.

Dataset Information

Three unsuspected CT diagnoses of COVID-19.

Publications

Three unsuspected CT diagnoses of COVID-19.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets