Covid-19 hastalarının toraks bilgisayarlı tomografi bulgularının sınıflandırılması, klinik ve laboratuar verileriyle korelasyonu

Year 2022, , 322 - 332, 27.09.2022

Murathan Köksal , Erdem Özkan , Adalet Aypak , Esragül Akınci , Bircan Kayaaslan , İmran Hasanoğlu , Ayşe Kalem , Fatma Eser Fatma Gül Büyükbayraktar İmamoğlu Rahmet Güner

https://doi.org/10.18663/tjcl.1021460

Abstract

Amaç: Çalışmanın amacı, popülasyonumuzdaki COVID-19 ile enfekte olan hastaları, Kuzey Amerika Radyoloji Derneği (RSNA) ve Amerikan Radyoloji Koleji (ACR) tarafından tanımlanan radyolojik konsensusa göre sınıflandırmak ve hastaların klinik-laboratuvar bulguları ile ilişkisini göstermektir.
Gereç ve Yöntem: Ankara Şehir Hastanesi'ne ateş, öksürük ve solunum sıkıntısı gibi semptomlarla başvuran ve laboratuvar bulguları Covid-19 ile uyumlu 127 olgu (74 erkek, 53 kadın; yaş aralığı 19-92) dahil edildi. Olguların toraks bilgisayarlı tomografi (BT) bulguları RSNA kriterlerine göre sınıflandırıldı ve klinik-laboratuvar verileriyle ilişkisi istatistiksel olarak değerlendirildi.
Bulgular: Olguların % 47,2'sinde ateş,% 62,2 öksürük, 22 nefes darlığı,% 4,7 ishal ve% 28,3 yorgunluk-halsizlik semptomları vardı. Toraks BT bulguları değerlendirildiğinde hastaların % 55'inde Covid-19 pnömonisi açısından tipik görünüm,% 21'inde indetermine görünüm,% 11'inde atipik görünüm ve% 13'ünde negatif görünüm vardı.
Sonuçlar: Toraks BT incelemesinin Covid-19 pnömonisini değerlendirmede pek çok avantajı olduğu aşikardır. Ancak bulguları daha iyi sınıflandırmak ve klinik-laboratuvar bulguları ile ilişkisini ortaya çıkarmak için daha fazla gözlem yapılması gerekmektedir.

Keywords

COVID-19, bilgisayarlı tomografi, pnömoni

Classification of thorax computed tomography findings of Covid-19 patients, their correlation with clinical and laboratory data

Abstract

Aim: The aim of the study is to classify patients infected with Covid-19 in our population according to the radiological consensus defined by Radiology Society of North America (RSNA) and American College of Radiology (ACR) and to show the relationship of the patients with clinical-laboratory findings.
Material and Methods: 127 cases (74 males, 53 females; age range 19-92 years) who applied to Ankara City Hospital with symptoms such as fever, cough and respiratory distress and whose laboratory findings were compatible with Covid-19 were included in our study. The thorax computed tomography (CT) findings of the cases were classified according to the RSNA criteria and their relationship with clinical-laboratory data was statistically evaluated.
Results: 47.2% of them had fever, 62.2% cough, 22 dyspnea, 4.7% diarrhea and 28.3% fatigue-malaise symptoms. When the thorax CT findings were evaluated, 55% of the patients had a typical appearance, 21% intermediate appearance, 11% atypical appearance and 13% negative appearance.
Conclusion: It is obvious that thoracic CT examination has many advantages in evaluating Covid-19 pneumonia. However, it was concluded that more observations should be made in order to classify the findings better and to reveal their relationship with clinical-laboratory findings.

Keywords

Covid-19, computed tomography, pneumonia

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