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Radiol Cardiothorac Imaging ; 2(4): e200248, 2020 Aug.
Article in English | MEDLINE | ID: covidwho-1155991

ABSTRACT

PURPOSE: The novel coronavirus pandemic has caused significant morbidity and mortality since December 2019. Although the role of chest CT for diagnosing coronavirus disease 2019 (COVID-19) pneumonia is still debatable, the modality has been used in scenarios of constrained reverse-transcription polymerase chain reaction (RT-PCR) testing. The epidemiologic reports indicate an unexplored difference between men and women in disease severity. We aimed to study the role of sex on disease severity and its correlation with CT findings. MATERIALS AND METHODS: Authors retrospectively studied all confirmed cases of COVID-19 with thoracic CT scans obtained at three hospitals from February 25, 2020, to March 15, 2020, in Tehran, Iran. CT involvement patterns of COVID-19 were analyzed based on sex and age of patients. RESULTS: One hundred fifteen patients (64.3% [74/115] men) were enrolled, with a median age of 57 years (age range, 21-89). Thirty patients were admitted to the intensive care unit, and 30 patients died during the hospital stay. Seventy-seven percent (37/48) of patients with unfavorable prognosis were male. Peripheral distribution of opacities was more common in men than women. When grouped by an age cut-off of 60 years, the women in the elder group had a peribronchovascular distribution pattern, and younger men showed an anterior distribution of opacities. Women younger than 60 years had significantly lower severity scores (CT-scores) (7.5 ± 6.8). Receiver operating characteristic (ROC) curve analysis demonstrated a CT-score cut-off of 14.5 to have 100% sensitivity and 91.9% specificity for predicting poor prognosis in women younger than 60 years. CONCLUSION: Opacity patterns on chest CT scans in COVID-19 are different based on sex and age, and men are at higher risk of disease severity and death.© RSNA, 2020.

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