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Pandemi Hastanesine Başvuran Hastaların Bilgisayarlı Tomografi ve PCR Sonuçlarının COVID-19 Açısından Değerlendirilmesi

Year 2022, , 465 - 470, 30.05.2022
https://doi.org/10.16899/jcm.1066691

Abstract

Amaç: COVID-19, öncelikle solunum sistemini etkileyen ve hızla yayılan bulaşıcı bir hastalıktır. COVID-19 pandemisininde Bilgisayarlı Tomografi (BT) ve ters transkripsiyon-polimeraz zincir reaksiyonu (RT-PCR) gibi tanı yöntemleri önem kazanmıştır. Bu çalışmanın amacı, RT-PCR yöntemi ile COVID-19 tanısı konulan hastaların Toraks BT ile anormal parankimal bulguların görünüm ve dağılımını değerlendirmektir. Bu hastalarda akciğer enfeksiyonun şiddeti ile hastalığın klinik seyri arasındaki ilişkiyi değerlendirmektir.
Gereç ve Yöntem: Aralık 2020 ile Şubat 2021 tarihleri arasında Konya Beyhekim Eğitim ve Araştırma Hastanesi'ne COVID-19 ön tanısı ile başvuran hastalar (n:613) retrospektif olarak değerlendirildi. Nazofaringeal sürüntü örnekleri Selçuk Üniversitesi Tıp Fakültesi Mikrobiyoloji Laboratuvarında RT-PCR ile COVID-19 açısından çalışıldı. COVID-19 PCR testi pozitif olan 361 hastanın toraks BT görüntüleri COVID-19 pnömonisi açısından incelendi. Covid-19 pnomonisi olan hastaların klinik seyirleri değerlendirildi.
Bulgular: 613 hastanın 361'inde (%58) RT-PCR testi pozitifti. RT-PCR testi pozitif olan hastaların 243'ünde (%64,8) pnömoni bulguları varken, 118'inde akciğer parankimi normaldi. Covid-19 hastalarının akciğer bulgularının büyük bir kısmını (%90) buzlu cam görüntüsü oluşturuyordu. Hastaların %22'sinde konsolidasyon, %20'sinde buzlu cam ile konsolidasyon birlikteliği vardı. 34 hastada (%13,9) çılgın döşeme paterni ve 19 (%7,8) hastada ters halo görünümü vardı. Akciğer enfeksiyonu tutulumunun şiddeti ile hastalığın klinik seyri arasında anlamlı ilişki bulundu.
Sonuç: Etkin hasta yönetimi ve tedavisi için tanısal görüntüleme özelliklerinin kapsamlı bir şekilde anlaşılması şarttır.

References

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  • 17- Zhou S, Wang Y, Zhu T, Xia L. CT Features of Coronavirus Disease 2019 (COVID-19) Pneumonia in 62 Patients in Wuhan, China. AJR Am J Roentgenol 2020;214(6):1287-94.
  • 18- Song F, Shi N, Shan F, et al. Emerging 2019 Novel Coronavirus (2019-nCoV) Pneumonia. Radiology 2020;295(1):210-7.
  • 19- Liu M, Zeng W, Wen Y, et al. COVID-19 pneumonia: CT findings of 122 patients and differentiation from influenza pneumonia. Eur Radiol 2020;30(10):5463-9.
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  • 25- Yang R, Li X, Liu H, et al. Chest CT Severity Score: An Imaging Tool for Assessing Severe COVID-19. Radiol Cardiothorac Imaging 2020;30;2(2):e200047.
  • 26- Li K, Wu J, Wu F, et al. The Clinical and Chest CT Features Associated With Severe and Critical COVID-19 Pneumonia. Invest Radiol 2020;55(6):327-31.

Evaluation of Computed Tomography and PCR Results of Patients Admitted to Pandemic Hospital in Terms of COVID-19

Year 2022, , 465 - 470, 30.05.2022
https://doi.org/10.16899/jcm.1066691

Abstract

Aim: COVID-19 is an infectious disease that primarily affects the respiratory system and spreads rapidly. Diagnostic methods as computed Tomography (CT) and reverse transcription-polymerase chain reaction (RT-PCR) have gained importance in the COVID-19 pandemic. The aim of this study is to evaluate the appearance and distribution of abnormal parenchymal findings with Thorax CT in patients diagnosed with COVID-19 by RT-PCR method. And to evaluate the relationship between the severity of lung infection and the clinical course of the disease in these patients.

Materials and Methods: Patients (n:613) with a preliminary diagnosis of COVID-19 who applied to Konya Beyhekim Training and Research Hospital were evaluated retrospectively between December 2020 and February 2021. Nasopharyngeal samples were studied for COVID-19 with RT-PCR by Selcuk University Medical Faculty Microbiology Laboratory. Thoracic CT images of 361 patients with positive COVID-19 PCR tests were examined for the presence of COVID-19 pneumonia. The clinical course of patients with Covid-19 pneumonia was evaluated.

Results: RT-PCR results was positive in 361 (58%) of 613 patients. While 243 (64.8%) of the PCR positive patients had signs of pneumonia, 118 of them had normal lung parenchyma (GGO). There was consolidation in 22% of the patients, and ground glass with consolidation in 20%. 34 patients (13.9%) had crazy-paving pattern and 19 (7.8%) patients had reverse halo appearance. A significant relationship was found between the severity of lung infection involvement and the clinical course of the disease.

Conclusion: A comprehensive understanding of diagnostic imaging features is essential for effective patient management and treatment.

References

  • 1- Gorbalenya AE, Baker SC, Baric RS, et al. The species Severe acute respiratory syndrome-related coronavirus: classifying 2019-nCoV and naming it SARS-CoV-2. Nat Microbiol 2020;5: 536-44.
  • 2- World Health Organization. Novel coronavirus – China. Feb 11, 2020. https://www.who.int/docs/default-source/coronaviruse/situation-reports/20200211-sitrep-22-ncov.pdf?sfvrsn=fb6d49b1_2.
  • 3- CDC COVID-19 Response Team. Severe Outcomes Among Patients with Coronavirus Disease 2019 (COVID-19) - United States, February 12-March 16, 2020. MMWR Morb Mortal Wkly Rep. 2020 Mar 27;69(12):343-6.
  • 4- Cascella M, Rajnik M, Aleem A, Dulebohn SC, Di Napoli R. Features, Evaluation, and Treatment of Coronavirus (COVID-19). Treasure Island (FL): StatPearls Publishing; 2022 Jan–. PMID: 32150360.
  • 5- Stokes, Erin K., et al. "Coronavirus Disease 2019 Case Surveillance - United States, January 22-May 30, 2020." MMWR. Morbidity and Mortality Weekly Report, vol. 69, no. 24, 2020, pp. 759-765.
  • 6- Akçay Ş,Özlü T, Yılmaz A. Radiological approaches to COVID-19 pneumonia. Turk J Med Sci 2020;50;604-10.
  • 7- Yang Y, Yang M, Yuan J, et al. Laboratory Diagnosis and Monitoring the Viral Shedding of SARS-CoV-2 Infection. Innovation (N Y). 2020;1(3):100061.
  • 8- Ding X, Xu J, Zhouc J, Longd Q. Chest CT findings of COVID-19 pneumonia by duration of symptoms. Eur J Radiol 2020;127:109009.
  • 9- Özdemir M, Taydaş O, Öztürk HM. COVID-19 Enfeksiyonunda Toraks Bilgisayarlı Tomografi Bulguları. J Biotechnol and Strategic Health Res 2020;1:91-6.
  • 10- Pan Y, Guan H, Zhou S, et al. Initial CT findings and temporal changes in patients with the novel coronavirus pneumonia (2019-nCoV): a study of 63 patients in Wuhan, China. Eur Radiol 2020;30(6):3306-9.
  • 11- Carlos WG, Dela Cruz CS, Cao B, et al. Novel Wuhan (2019-nCoV) Coronavirus. Am J Respir Crit Care Med 2020;201(4):7–8.
  • 12- Chung M, Bernheim A, Mei X, et al. CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV). Radiology 2020;295(1):202-7.
  • 13- Paul NS, Roberts H, Butany J, et al. Radiologic pattern of disease in patients with severe acute respiratory syndrome: the Toronto experience. RadioGraphics 2004;24(2):553–63.
  • 14- Ai T, Yang Z, Hou H, et al. Correlation of chest CT and RT-PCR testing for coronavirus disease 2019 (COVID-19) in China: a report of 1014 cases. Radiology, 2020;296(2):32-40.
  • 15- Salehi S, Abedi A, Balakrishnan S, Gholamrezanezhad A. Coronavirus Disease 2019 (COVID-19): A Systematic Review of Imaging Findings in 919 Patients. AJR Am J Roentgenol 2020;215(1):87-93.
  • 16- Zhou S, Zhu T, Wang Y, Xia L. Imaging features and evolution on CT in 100 COVID-19 pneumonia patients in Wuhan, China. Eur Radiol 2020;30(10):5446-54.
  • 17- Zhou S, Wang Y, Zhu T, Xia L. CT Features of Coronavirus Disease 2019 (COVID-19) Pneumonia in 62 Patients in Wuhan, China. AJR Am J Roentgenol 2020;214(6):1287-94.
  • 18- Song F, Shi N, Shan F, et al. Emerging 2019 Novel Coronavirus (2019-nCoV) Pneumonia. Radiology 2020;295(1):210-7.
  • 19- Liu M, Zeng W, Wen Y, et al. COVID-19 pneumonia: CT findings of 122 patients and differentiation from influenza pneumonia. Eur Radiol 2020;30(10):5463-9.
  • 20- Han R, Huang L, Jiang H, Dong J, Peng H, Zhang D. Early Clinical and CT Manifestations of Coronavirus Disease 2019 (COVID-19) Pneumonia. AJR Am J Roentgenol 2020;215(2):338-43.
  • 21- Wu J, Pan J, Teng D, et al. Interpretation of CT signs of 2019 novel coronavirus (COVID-19) pneumonia. Eur Radiol 2020;30(10):5455-62.
  • 22- Zhao W, Zhong Z, Xie X, Yu Q, Liu J. Relation Between Chest CT Findings and Clinical Conditions of Coronavirus Disease (COVID-19) Pneumonia: A Multicenter Study. AJR Am J Roentgenol 2020;214(5):1072-7.
  • 23- Jin YH, Cai L, Cheng ZS, et al. A rapid advice guideline for the diagnosis and treatment of 2019 novel coronavirus (2019-nCoV) infected pneumonia (standard version). Mil Med Res. 2020;6;7(1):4.
  • 24- Kanne JP. Chest CT Findings in 2019 Novel Coronavirus (2019-nCoV) Infections from Wuhan, China: Key Points for the Radiologist. Radiology 2020;295(1):16-17.
  • 25- Yang R, Li X, Liu H, et al. Chest CT Severity Score: An Imaging Tool for Assessing Severe COVID-19. Radiol Cardiothorac Imaging 2020;30;2(2):e200047.
  • 26- Li K, Wu J, Wu F, et al. The Clinical and Chest CT Features Associated With Severe and Critical COVID-19 Pneumonia. Invest Radiol 2020;55(6):327-31.
There are 26 citations in total.

Details

Primary Language English
Subjects Health Care Administration
Journal Section Original Research
Authors

Gülay Maçin 0000-0002-7533-1758

Salih Maçin 0000-0002-1871-3629

Prof. Dr. Uğur Arslan 0000-0002-0342-0364

Publication Date May 30, 2022
Acceptance Date April 18, 2022
Published in Issue Year 2022

Cite

AMA Maçin G, Maçin S, Arslan PDU. Evaluation of Computed Tomography and PCR Results of Patients Admitted to Pandemic Hospital in Terms of COVID-19. J Contemp Med. May 2022;12(3):465-470. doi:10.16899/jcm.1066691