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

Yıl 2022, Cilt: 12 Sayı: 3, 465 - 470, 30.05.2022
https://doi.org/10.16899/jcm.1066691

Öz

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.

Kaynakça

  • 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.

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

Yıl 2022, Cilt: 12 Sayı: 3, 465 - 470, 30.05.2022
https://doi.org/10.16899/jcm.1066691

Öz

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.

Kaynakça

  • 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.
Toplam 26 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Sağlık Kurumları Yönetimi
Bölüm Orjinal Araştırma
Yazarlar

Gülay Maçin 0000-0002-7533-1758

Salih Maçin 0000-0002-1871-3629

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

Yayımlanma Tarihi 30 Mayıs 2022
Kabul Tarihi 18 Nisan 2022
Yayımlandığı Sayı Yıl 2022 Cilt: 12 Sayı: 3

Kaynak Göster

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. Mayıs 2022;12(3):465-470. doi:10.16899/jcm.1066691