SavedAdd your journal

Journals / Batı Karadeniz Tıp Dergisi / 2026 / Cilt: 6 Sayı: 1

COVID-19: Investigation of Diagnostic Value of the Thorax Computed Tomography Imaging with CO-RADS Categorical Assessment Scheme

COVID-19: CO-RADS Kategorik Değerlendirme Sistemi ile Toraks Bilgisayarlı Tomografi Görüntülemenin Tanısal Değerinin Araştırılması

İshak Yıldızhan(ZONGULDAK BÜLENT ECEVİT ÜNİVERSİTESİ, TIP FAKÜLTESİ, DAHİLİ TIP BİLİMLERİ BÖLÜMÜ, RADYODİAGNOSTİK ANABİLİM DALI)0000-0002-5707-548X
Halilibrahim Öztürk(BÜLENT ECEVİT ÜNİVERSİTESİ, TIP FAKÜLTESİ, DAHİLİ TIP BİLİMLERİ BÖLÜMÜ, RADYODİAGNOSTİK ANABİLİM DALI)0000-0002-7434-4258
Eyüp Çetin(ZONGULDAK BÜLENT ECEVİT ÜNİVERSİTESİ, TIP FAKÜLTESİ, DAHİLİ TIP BİLİMLERİ BÖLÜMÜ, RADYODİAGNOSTİK ANABİLİM DALI)0000-0002-8949-5876
Barış Can Arslan(ZONGULDAK BÜLENT ECEVİT ÜNİVERSİTESİ, TIP FAKÜLTESİ, DAHİLİ TIP BİLİMLERİ BÖLÜMÜ, RADYODİAGNOSTİK ANABİLİM DALI)0000-0002-4530-3166
Banu Alıcıoğlu(ZONGULDAK BÜLENT ECEVİT ÜNİVERSİTESİ, TIP FAKÜLTESİ, DAHİLİ TIP BİLİMLERİ BÖLÜMÜ, RADYODİAGNOSTİK ANABİLİM DALI)0000-0002-6334-7445
Füsun Cömert(ZONGULDAK BÜLENT ECEVİT ÜNİVERSİTESİ, TIP FAKÜLTESİ, TEMEL TIP BİLİMLERİ BÖLÜMÜ, MİKROBİYOLOJİ ANABİLİM DALI)0000-0003-0161-6897
Bilgin Kadri Arıbaş(ZONGULDAK BÜLENT ECEVİT ÜNİVERSİTESİ, TIP FAKÜLTESİ, DAHİLİ TIP BİLİMLERİ BÖLÜMÜ, RADYODİAGNOSTİK ANABİLİM DALI)0000-0001-8218-1359
Pages
38–47
Publication Date
2022-04-28
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

It is not suitable to use CT for diagnostic or screening purposes

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Aim: The definitive diagnosis of new coronavirus disease (COVID-19) caused by ‘severe acute respiratory syndrome corona-virus 2’ (SARS-CoV-2), is possible with the reverse transcriptasepolymerase chain reaction (RT-PCR) test.
📊
Key Findings & Data:In this study, the diagnostic value of CT for COVID-19 in the first peak of the pandemic was investigated.
💡
Conclusion & Impact:It is not suitable to use CT for diagnostic or screening purposes
🔬Design:Araştırma Makalesi
📍Scope:2020 Verileri
⚙️Variables:COVID-19 · RT-PCR · CO-RADS

Abstract

Aim: The definitive diagnosis of new coronavirus disease (COVID-19) caused by ‘severe acute respiratory syndrome corona-virus 2’ (SARS-CoV-2), is possible with the reverse transcriptasepolymerase chain reaction (RT-PCR) test. At the beginning of the pandemic, since it may take time for the RT-PCR test to result, there has been difficulty in deciding whether to quarantine or treat suspected Bioekpatients. Chest computed tomography (CT) not being a screening method, has been widely applied for rapid filiation and treatment. In this study, the diagnostic value of CT for COVID-19 in the first peak of the pandemic was investigated. Material and Methods: All consecutive adult patients who underwent chest CT in the Radiology clinic with suspected COVID-19 between 16 March-April 30 2020 were retrospectively screened. All the images were evaluated in terms of the likelihood of COVID-19 suspicion according to the COVID-19 Reporting and Data System (CO-RADS). Pulmonary involvement findings, age, gender, and comorbid diseases of the patients were recorded. Results: Total of 504 patients consisted of 262 (52%) men, 242 (48%) women with mean age of 53.3±19.4 years-old were included. RT-PCR positivity was detected in 29/291 (9.96%) of CO-RADS 1; 4/65 (26%) of the CO-RADS 2; 15/63 (23.8%) of CO-RADS 3; 19/28 (67.9%) of the CO-RADS 4; 36/57 (63.2%) of the CO-RADS 5 patients. 356 patients were CO-RADS (1-3), 85 patients were CO-RADS (4,5). Accordingly sensitivity, specificity, positive and negative likelihood ratios, prevalence, positive and negative predictive values and accuracy rates, were 53.4%, 92.52%, 7.14, 0.5, 20.44%, 64.71%, 88.54% and 84.52% respectively. Conclusion: CO-RADS categorization improves the diagnostic value in COVID-19 pneumonia. Thorax CT has high specificity, positive and negative predictive value but low sensitivity for COVID-19 in. It is not suitable to use CT for diagnostic or screening purposes

Özet

Amaç: ‘Severe Acute Respiratory Syndrome Corona Virus 2 (SARS CoV-2)’ nin etken olduğu COVID-19 hastalığının kesin tanısı reverse transcriptase-polymerase chain reaction (RT-PCR) testi ile mümkündür. Toraks bilgisayarlı tomografisi (BT) tarama yöntemi olmamakla beraber hızlı filyasyon ve tedavi için yaygın kullanılmıştır. Bu çalışmada salgının ilk pikinde BT’nin COVID-19 için tanısal değeri araştırılmıştır. Gereç ve Yöntemler: 16 Mart-30 Nisan 2020 arasında COVID-19 şüphesi ile Radyoloji kliniğinde toraks BT yapılmış ardışık tüm yetişkin hastalar retrospektif tarandı. Görüntüler COVID-19 Reporting and Data System (CO-RADS)’e göre COVID-19 şüphe olasılığı bakımından değerlendirildi. Akciğerdeki tutulum bulguları ile hastaların yaş, cinsiyet ve komorbid hastalıkları kaydedildi. Bulgular: Yaş ortalama ± SD, 53.3±19.4; 262’si (%52) erkek ve 242’si (%48) kadın, toplam 504 olgu dahil edildi. 103 (%20.4) hastada RT-PCR pozitifliği vardı. CO-RADS 1 olguların 29/291 (%9.96)’i; CO-RADS 2’nin 4/65 (%26)’ü; CO-RADS 3’ün 15/63 (%23.8)’ü; CO-RADS 4’ün 19/28 (%67.9)’ünde; CO-RADS 5’in 36/57 (%63.2)’inde RT-PCR pozitifliği saptanmıştır. 356 hasta CO-RADS (1-3); 85 hasta CO-RADS (4.5)’ti. Duyarlılık, özgüllük, pozitif ve negatif olabilirlik oranları, prevalans, pozitif ve negatif prediktif değerler ve doğruluk oranları sırasıyla; %53.4, %92.52, 7.14, 0.5, %20.44, %64.71, %88.54 ve %84.52 saptandı. Sonuç: CO-RADS kategorizasyonu, COVID-19 pnömonisinde tanı değerini arttırmaktadır. Toraks BT’nin COVID-19 için özgüllüğü, pozitif ve negatif prediktif değeri yüksek ancak duyarlılığı düşüktür. Bilgisayarlı tomografinin tanısal veya tarama amaçlı kullanılaması uygun değildir.

🔖

Cite This Article

Yıldızhan, İ., Öztürk, H., Çetin, E., Arslan, B. C., Alıcıoğlu, B., Cömert, F., Arıbaş, B. K. (2022). COVID-19: Investigation of Diagnostic Value of the Thorax Computed Tomography Imaging with CO-RADS Categorical Assessment Scheme. Batı Karadeniz Tıp Dergisi, Cilt: 6 Sayı: 1, 38–47. https://doi.org/10.29058/mjwbs.941902

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (33)

  1. Altmayer S, Matheus Zanon et al., Comparison of the computed tomography findings in COVID-19 and other viral pneumonia in immunocompetent adults: a systematic review and meta-analysis. European Radiology, 27 haziran 2020; 30:6485–6496. https://doi.org/10.1007/s00330-020-07018-x
  2. Li Y, Xia L., Coronavirus Disease 2019 (COVID-19): Role of Chest CT in Diagnosis and Management. AJR, haziran 2020; 2020;214: 1280-1286. 10.2214/AJR.20.22954
  3. Shohei Inui,MD, AkiraFujikawa,MD,PhD et al., Chest CT Findings in Cases from the Cruise Ship Diamond Princess with Coronavirus Disease (COVID-19). Radiology: Cardiothoracic Imaging, 17 mart 2020; 2(2):e200110. https://doi.org/10.1148/ryct.2020200110
  4. Tao Ai, MD, PhD, Zhenlu Yang, MD et al., Correlation of Chest CT and RT-PCR Testing for Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases. Radiology, 26 şubat 2020; 296:E32–E40 https://doi.org/10.1148/radiol.2020200642
  5. W. Guan, Z. Ni, et al., Clinical Characteristics of Coronavirus Disease 2019 in China, N Engl J Med, 6 mart 2020;382:1708-20. DOI: 10.1056/NEJMoa2002032
  6. Adam Bernheim, MD, Xueyan Mei, MS et al., Chest CT Findings in Coronavirus Disease 2019 (COVID-19): Relationship to Duration of Infection, Radiology, 20 şubat 2020; 295:685–691 https://doi.org/10.1148/radiol.2020200463
  7. Wei Zhao, Zheng Zhong, Xingzhi Xie, Qizhi Yu., Relation Between Chest CT Findings and Clinical Conditions of Coronavirus Disease (COVID-19) Pneumonia: A Multicenter Study, American Journal of Roentgenology, Mayıs 2020;214: 1072-1077. 10.2214/AJR.20.22976
  8. Na Zhu, PhD, Dingyu Zhang, MD et al. for the China Novel Coronavirus Investigating and Research Team, A Novel Coronavirus from Patients with Pneumonia in China, 2019. The new england journal o f medicine, 24 ocak 2020; doı: 10.1056/NEJMoa2001017
  9. American College of Radiology. ACR recommendations for the use of chest radiography and computed tomography (CT) for suspected COVID-19 infection. American College of Radiology, 11 mart 2020; https://www.acr.org/Advocacy-and-Economics/ACR-Position- Statements/Recommendations-for-Chest-Radiography-and-CT-for-Suspected-COVID19-Infection. Updated March 22, 2020
  10. Geoffrey D Rubin, Christopher J Ryerson et al., The Role of Chest Imaging in Patient Management during the COVID-19 Pandemic: A Multinational Consensus Statement from the Fleischner Society. Radiology, 7 nisan 2020; 296(1):172-180. doi: 10.1148/radiol.2020201365
  11. Scott Simpson, Fernando U Kay et al., Radiological Society of North America Expert Consensus Document on Reporting Chest CT Findings Related to COVID-19: Endorsed by the Society of Thoracic Radiology, the American College of Radiology, and RSNA. Radiol Cardiothorac Imaging, 25 mart 2020; 2(2):e200152. doi: 10.1148/ryct.2020200152.
  12. Mathias Prokop, Wouter van Everdingen et al., COVID-19 Standardized Reporting Working Group of the Dutch Radiological Society. CO-RADS: A Categorical CT Assessment Scheme for Patients Suspected of Having COVID-19-Definition and Evaluation. Radiology, 27 nisan 2020;296(2):E97-E104. doi: 10.1148/radiol.2020201473.
  13. Yicheng Fang, Huangqi Zhang, Jicheng Xie, Minjie Lin, Lingjun Ying, Peipei Pang, Wenbin Ji, Sensitivity of Chest CT for COVID-19: Comparison to RT-PCR. Radiology, 19 şubat 2020; https://doi.org/10.1148/radiol.2020200432
  14. Rui Han, Lu Huang, Hong Jiang, Jin Dong, Hongfen Peng and Dongyou Zhang. Early Clinical and CT Manifestations of Coronavirus Disease 2019 (COVID-19) Pneumonia, American Journal of Roentgenology. Ağustos 2020;215(2):338-343. doi: 10.2214/AJR.20.22961
  15. Zu ZY, Meng Di Jiang, et al., Coronavirus Disease 2019 (COVID-19): A Perspective from China. Radiology, 21 şubat 2020; 296(2):E15-E25. doi: 10.1148/radiol.2020200490
  16. Hyungjin Kim, Hyunsook Hong, Soon Ho Yoon. Diagnostic Performance of CT and Reverse Transcriptase-Polymerase Chain Reaction for Coronavirus Disease 2019: A Meta-Analysis. Radiology, 17 nisan 2020; 296(3):E145-E155. doi: 10.1148/radiol.2020201343.
  17. Robert M Kwee, Hugo J A Adams, Thomas C Kwee. Diagnostic Performance of CO-RADS and the RSNA Classification System in Evaluating COVID-19 at Chest CT: A Meta-Analysis. Radiol Cardiothorac Imaging, 14ocak 2021 3(1):e200510. doi: 10.1148/ryct.2021200510.
  18. Daniël A Korevaar, Ruud S Kootte et al., Amsterdam UMC location AMC COVID-19 group. Added value of chest computed tomography in suspected COVID-19: an analysis of 239 patients. Eur Respir J., 20 ağustos 2020; 2001377. doi: 10.1183/13993003.01377-2020.
  19. Kristof De Smet, Dieter De Smet et al., Diagnostic Performance of Chest CT for SARS-CoV-2 Infection in Individuals with or without COVID-19 Symptoms. Radiology. 10 ağustos 2021; 298(1):E30-E37. doi: 10.1148/radiol.2020202708.
  20. Joep J. R. Hermans, Joost Groen et al., Chest CT for triage during COVID-19 on the emergency department: myth or truth?, American Society of Emergency Radiology, 9 Temmuz 2020, doi: 10.1007/s10140-020-01821-1
  21. Fujioka F, Takahashi M, Mori M, Tsuchiya J et al., Evaluation of the Usefulness of CO-RADS for Chest CT in Patients Suspected of Having COVID-19. Diagnostics (Basel), 16 temmuz 2020; 10(9): 608. doi: 10.3390/diagnostics10090608.
  22. Brecht Van Berkel, Jan Vandevenne et al., Chest CT Diagnosis of COVID-19: Accuracy using CO-RADS and CT-Involvement Scoring. Journal of the Belgian Society of Radiology, 5 nisan 2021; 105(1):17. doi: 10.5334/jbsr.2342.
  23. Mohamed Abdel-Tawab, Mohammad Abd Alkhalik Basha et al., Comparison of the CO-RADS and the RSNA chest CT classification system concerning sensitivity and reliability for the diagnosis of COVID-19 pneumonia. Insights Imaging 28 nisan 2021; 55. doi: 10.1186/s13244-021-00998-4.
  24. COVID-19 Use of Chest Imaging in COVID-19. A rapid advice guide. 11.6.2020. World Health Organization. https://apps.who.int/iris/bitstream/handle/10665/332336/WHO-2019-nCoV-Clinical-Radiology_imaging-2020.1-eng.pdf
  25. Harrison X Bai, Ben Hsieh, Zeng Xiong et al., Performance of Radiologists in Differentiating COVID-19 from Non-COVID-19 Viral Pneumonia at Chest CT. Radiology,10 mart 2020; 296(2):E46-E54. doi: 10.1148/radiol.2020200823.
  26. Buyun Xu, Yangbo Xing et al., Chest CT for detecting COVID‐19: a systematic review and meta‐analysis of diagnostic accuracy. Eur Radiol, 15 mayıs 2020; 30(10):5720-5727. doi: 10.1007/s00330-020-06934-2.
  27. Damiano Caruso, Marta Zerunian, Michela Polici et al., Chest CT Features of COVID-19 in Rome, Italy. Radiology, 3 nisan 2020; 296:E79–E85 • https://doi.org/10.1148/radiol.2020201237.
  28. Wei-cai Dai, Han-wen Zhang, Juan Yu et al., CT Imaging and Differential Diagnosis of COVID-19. Canadian Association of Radiologists, 4 mart 2020; 71(2) 195-200 doi:10.1177/0846537120913033.
  29. Shohei Inui,MD, AkiraFujikawa,MD,PhD et al., Chest CT Findings in Cases from the Cruise Ship Diamond Princess with Coronavirus Disease (COVID-19). Radiology: Cardiothoracic Imaging, 17 mart 2020; 2(2):e200110. https://doi.org/10.1148/ryct.2020200110
  30. Geoffrey D Rubin, Christopher J Ryerson et al., The Role of Chest Imaging in Patient Management during the COVID-19 Pandemic: A Multinational Consensus Statement from the Fleischner Society. Radiology, 7 nisan 2020; 296(1):172-180. doi: 10.1148/radiol.2020201365
  31. Mathias Prokop, Wouter van Everdingen et al., COVID-19 Standardized Reporting Working Group of the Dutch Radiological Society. CO-RADS: A Categorical CT Assessment Scheme for Patients Suspected of Having COVID-19-Definition and Evaluation. Radiology, 27 nisan 2020;296(2):E97-E104. doi: 10.1148/radiol.2020201473.
  32. Hyungjin Kim, Hyunsook Hong, Soon Ho Yoon. Diagnostic Performance of CT and Reverse Transcriptase-Polymerase Chain Reaction for Coronavirus Disease 2019: A Meta-Analysis. Radiology, 17 nisan 2020; 296(3):E145-E155. doi: 10.1148/radiol.2020201343.
  33. Daniël A Korevaar, Ruud S Kootte et al., Amsterdam UMC location AMC COVID-19 group. Added value of chest computed tomography in suspected COVID-19: an analysis of 239 patients. Eur Respir J., 20 ağustos 2020; 2001377. doi: 10.1183/13993003.01377-2020.