Sinan SÖZÜTOK, Ömer KAYA, Okan DILEK, Cenk PARLATAN, Nazli Nida KAYA, Ferhat Can PİŞKİN, Sevgül KÖSE

RSNA konsensüsünün değerlendirilmesi: BT ile COVID-19’un tanısı için yeterli mi?

Amaç: Koronavirüs hastalığı 19 (COVID-19) Kuzey Amerika Radyoloji Derneği (RSNA) Konsensüsü, toraks bilgisayarlı tomografide (BT) akciğer tutulumunu değerlendirmek ve ortak bir raporlama dili oluşturmak için geliştirilmiştir. Bu çalışmanın amacı, COVID-19'lu hastalarda cinsiyet ve yaş gruplarında BT bulgularının sıklığını belirlemek, bulguları RSNA Konsensüs sınıflamalarına göre karşılaştırmak ve sınıflamalar ile bulguların uyumluluğunu değerlendirmektir. Gereç ve Yöntem: COVID-19'lu 281 hastanın toraks BT görüntüleri değerlendirildi. Hastalar uygun RSNA konsensüs sınıfında not edildi. Hastaların verileri yaş ve cinsiyet gruplarına göre analiz edildi. Bulgular: Sık bulgular arasında buzlu cam opasiteleri, konsolidasyon ve hava bronkogramı vardı. Yaygın tutulum paternleri şu şekildeydi: bilateral, periferal ve multifokal. RSNA konsensüsüne göre tipik, atipik ve belirsiz sınıflandırma oranları sırasıyla %63,6, %9,6 ve %27,0 idi. Subplevral fibrotik çizgilenmeler erkeklerde daha sıktı. Hava bronkogramı, lenfadenopati, plevral efüzyon, subplevral fibrotik çizgilenmeler, bilateral tutulum ve tipik sınıflandırma 65 yaş üstü grupta daha sıktı. Sonuç: Tipik görünüm sınıflandırması bulgularla tutarlı sonuçlara sahipken, belirsiz ve atipik görünüm olarak belirtilen sınıflandırmaların bulgularla yeterli bir uyum göstermediği ve doğru tanısal yönlendirmeler için revizyona ihtiyaç olduğunu düşünmekteyiz.

Anahtar Kelimeler:

COVID-19, BT özellikleri, yaş, cinsiyet, RSNA konsensüsü

Evaluation of the RSNA consensus: is it sufficient for the diagnosis of COVID-19 with CT?

Purpose: Radiological Society of North America (RSNA) Consensus for coronavirus disease 19 (COVID-19) is developed to evaluate the lung involvement on chest computed tomography (CT) and create a common reporting lexicon. Aim of this study is to determine the frequency of CT features in sex and age groups in patients with COVID-19, compare the findings according to the RSNA consensus classifications, and evaluate the compatibility of the classifications and findings. Materials and Methods: Chest CT images of 281 patients with COVID-19 were evaluated. Patients were noted in the appropriate RSNA consensus class. The patients’ data were analyzed by group according to age and sex. Results: The main findings included ground-glass opacity, consolidation, and air bronchogram. The common involvement patterns were as follows: bilateral, peripheral, and multifocal. The rates for the typical, atypical, and indeterminate classifications, according to the RSNA consensus, were 63.6%, 9.6%, and 27.0%, respectively. Subpleural fibrous streaking was more frequent in males. Air bronchogram, lymphadenopathy, pleural effusion, subpleural fibrous streaking, bilateral involvement, and a typical classification on CT features were more frequent in the ≥ 65-year age group. Conclusion: While the typical appearance classification has results consistent with the findings, we think that the classifications specified as indeterminate and atypical appearance do not show sufficient agreement with the findings and revision is needed for correct diagnostic guidance.

Keywords:

COVID-19, CT features, age, sex, RSNA consensus,

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