Chest computed tomography findings of 1271 patients with COVID-19 pneumonia and classifications with different age groups: a descriptive study from Istanbul, Turkey

Autor: Safiye Sanem Dereli Bulut, Zakir Sakci, Aslihan Semiz Oysu, Fatma Kulali, Mehmet Taha Avci, Levent Doganay, Arzu Irvem, Yasar Bukte
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Revista da Associação Médica Brasileira, Vol 67, Iss 11, Pp 1531-1537 (2021)
Revista da Associação Médica Brasileira v.67 n.11 2021
Revista da Associação Médica Brasileira
Associação Médica Brasileira (AMB)
instacron:AMB
Revista da Associação Médica Brasileira, Volume: 67, Issue: 11, Pages: 1531-1537, Published: 13 DEC 2021
ISSN: 1806-9282
Popis: SUMMARY OBJECTIVE: The objectives of this study were to describe lung computed tomography findings of patients with COVID-19 diagnosed by real-time reverse transcription polymerase chain reaction test, investigate whether the findings differ regarding age and gender, and evaluate the diagnostic performance of chest computed tomography based on the duration of symptoms at the time of presentation to the hospital. METHODS: From March 11 to May 11, 2020, 1271 consecutive patients (733 males and 538 females) were included in this retrospective, cross-sectional study. Based on age, patients were divided into five separate subgroups. Then based on the duration of symptoms, patients were divided into five separate phases. The presence of lung lesion(s) and their characteristics, distribution patterns, and the presence of concomitant pleural thickening/effusion and other findings (malignancy, metastasis, chronic obstructive pulmonary disease, interstitial lung disease, bronchiectasis, bronchiectasis, cardiomegaly, pericardial effusion) were evaluated by five radiologists independently. RESULTS: The “normal lung computed tomography finding” was the most common chest CT finding (37%), followed by ground-glass opacity (31%). Regardless of the shape of the lesion, the distribution features were significant (peripheral, subpleural, and lower lobe distribution) (p
Databáze: OpenAIRE