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COVID-19 폐렴의 다양한 CT 영상 소견: 급성 폐포 손상과 기질화 폐렴

The Spectrum of CT Findings of COVID-19 Pneumonia: Acute Alveolar Insult and Organizing Pneumonia as Different Phases of Lung Injury and Repair

  • 김윤수 (대구가톨릭대학교 의과대학 대구가톨릭대학교병원 영상의학과) ;
  • 강웅래 (대구가톨릭대학교 의과대학 대구가톨릭대학교병원 영상의학과) ;
  • 김영환 (대구가톨릭대학교 의과대학 대구가톨릭대학교병원 영상의학과)
  • Yun Su Kim (Department of Radiology, Daegu Catholic University Medical Center, Catholic University of Daegu College of Medicine) ;
  • Ung Rae Kang (Department of Radiology, Daegu Catholic University Medical Center, Catholic University of Daegu College of Medicine) ;
  • Young Hwan Kim (Department of Radiology, Daegu Catholic University Medical Center, Catholic University of Daegu College of Medicine)
  • 투고 : 2020.07.28
  • 심사 : 2020.12.09
  • 발행 : 2021.03.01

초록

목적 증상이 있는 123명의 coronavirus disease 2019 (이하 COVID-19) 환자에서 흉부 CT 병변의 소견과 일련의 변화를 분석하였다. 대상과 방법 2020년 2월 19일부터 4월 7일까지 총 123명의 COVID-19 환자(남성, 44명; 여성, 79명; 평균 연령 59.2 ± 18.6)를 후향적으로 연구하였다. 총 234개의 CT 스캔을 검토하여 패턴[급성 폐포 손상(acute alveolar insult) 패턴: 간유리음영, 돌조각보도모양, 혼합된 패턴, 또는 폐경화; 기질화 폐렴(organizing pneumonia) 패턴: 소엽주위 패턴, 띠 음영, 곡선형 음영, 역달무리 음영, 또는 소결절경화; 호전형 패턴: 순수 간유리음영, 잔존 곡선형 음영, 또는 소결절경화]과 폐 이상의 연속적인 변화를 분석하였다. 피어슨 카이 제곱 검정과 피셔의 정확 검정을 사용하여 시간 경과에 따른 급성 폐포 손상 패턴, 기질화 폐렴 패턴, 호전형 패턴의 비율을 비교하고, 패턴과 질병 심각도 간의 연관성을 분석하였다. 결과 초기 입원군(증상 발병 후 0~10일)의 CT 패턴은 급성 폐포 손상 패턴(87%) 이 가장 많았고, 후기 입원군(10일 이상)에서는 기질화 폐렴 패턴(45.7%), 퇴원군(퇴원 시 및 퇴원 후)에서는 호전형 패턴(47.2%; 84.8%)이 가장 많았다. 시간 경과에 따른 우세한 CT 패턴에 대한 비율의 차이는 통계적으로 유의하였다(p < 0.001, 피어슨 카이 제곱 검정). 패턴과 질병 중증도 간에 통계적으로 유의한 연관성은 발견되지 않았다(p = 0.055, 피셔의 정확 검정). 후속 CT 스캔에서 병변의 섬유화는 관찰되지 않았다. 결론 COVID-19 환자의 연속적 CT 스캔은 COVID 폐렴의 폐 손상 및 복구의 단계로서 다양한 CT 영상 소견을 보여주었다.

Purpose To analyze the findings and serial changes in chest CT lesions in 123 symptomatic patients with coronavirus disease 2019 (COVID-19). Materials and Methods From February 19 to April 7, 2020, a total of 123 confirmed COVID-19 patients (male, 44; female, 79; mean age, 59.2 ± 18.6) were enrolled in this retrospective study. A total of 234 CT scans were reviewed for the following patterns: acute alveolar insult (AAI) patterns: ground-glass opacity (GGO), crazy-paving appearance, mixed pattern, and consolidation; organizing pneumonia (OP) patterns: perilobular patterns, band opacity, curvilinear opacity, reversed halo opacity, and small nodular consolidation; resolving patterns: pure GGO, remnant curvilinear, small nodular consolidation, and serial changes of lung abnormalities. We compared the proportions of AAI pattern, OP pattern, or resolving pattern with time progression and analyzed the association between the patterns and disease severity using Pearson chi-square and Fisher's exact test. Results Predominant CT patterns were AAI pattern (87%) in the early hospital period group (0-10 days, after the onset of symptoms), OP pattern (45.7%) in the later hospital period group (after 10 days), and resolving pattern in discharge and follow-up group (47.2% and 84.8%, respectively). The difference in the proportions of predominant CT patterns with time progression was statistically significant (p < 0.001, Pearson's chi-square test). No statistically significant association was observed between the patterns and disease severity (p = 0.055, Fisher's exact test). No fibrous changes in the lesions were observed on follow-up CT scans. Conclusion The serial CT scans of COVID-19 patients showed the spectrum of COVID pneumonia CT manifestations as different phases of lung injury and repair.

키워드

과제정보

The authors would like to acknowledge Jung Ju Shin for assistance in improving the English usage in this manuscript.

참고문헌

  1. Zhu N, Zhang D, Wang W, Li X, Yang B, Song J, et al. A novel coronavirus from patients with pneumonia in China, 2019. N Engl J Med 2020;382:727-733 
  2. Tian S, Xiong Y, Liu H, Niu L, Guo J, Liao M, et al. Pathological study of the 2019 novel coronavirus disease (COVID-19) through postmortem core biopsies. Mod Pathol 2020;33:1007-1014 
  3. Zhang H, Zhou P, Wei Y, Yue H, Wang Y, Hu M, et al. Histopathologic changes and SARS-CoV-2 immunostaining in the lung of a patient with COVID-19. Ann Intern Med 2020;172:629-632 
  4. Hong KH, Lee SW, Kim TS, Huh HJ, Lee J, Kim SY, et al. Guidelines for laboratory diagnosis of coronavirus disease 2019 (COVID-19) in Korea. Ann Lab Med 2020;40:351-360 
  5. Obadina ET, Torrealba JM, Kanne JP. Acute pulmonary injury: high-resolution CT and histopathological spectrum. Br J Radiol 2013;86:20120614 
  6. Wang Y, Dong C, Hu Y, Li C, Ren Q, Zhang X, et al. Temporal changes of CT findings in 90 patients with COVID-19 pneumonia: a longitudinal study. Radiology 2020;296:E55-E64 
  7. Roberton BJ, Hansell DM. Organizing pneumonia: a kaleidoscope of concepts and morphologies. Eur Radiol 2011;21:2244-2254 
  8. Baque-Juston M, Pellegrin A, Leroy S, Marquette CH, Padovani B. Organizing pneumonia: what is it? A conceptual approach and pictorial review. Diagn Interv Imaging 2014;95:771-777 
  9. Lee SE, Kim YS. Clinical and radiological findings of coronavirus disease 2019 pneumonia: 51 adult patients from a single center in Daegu, South Korea. J Korean Soc Radiol 2020;81:591-603 
  10. Korea Centers for Disease Control and Prevention. The updates of COVID-19 in the Republic of Korea. Available at. https://www.cdc.go.kr/board/board.es?mid=a20501000000&bid=0015. Accessed Mar 18, 2020 
  11. Liu KC, Xu P, Lv WF, Qiu XH, Yao JL, Gu JF, et al. CT manifestations of coronavirus disease-2019: a retrospective analysis of 73 cases by disease severity. Eur J Radiol 2020;126:108941 
  12. Pan F, Ye T, Sun P, Gui S, Liang B, Li L, et al. Time course of lung changes on chest CT during recovery from 2019 novel coronavirus (COVID-19) pneumonia. Radiology 2020;295:715-721 
  13. Bernheim A, Mei X, Huang M, Yang Y, Fayad ZA, Zhang N, et al. Chest CT findings in coronavirus disease-19 (COVID-19): relationship to duration of infection. Radiology 2020;295:200463 
  14. Li L, Huang Q, Wang DC, Ingbar DH, Wang X. Acute lung injury in patients with COVID-19 infection. Clin Transl Med 2020;10:20-27 
  15. Tian S, Hu W, Niu L, Liu H, Xu H, Xiao SY. Pulmonary pathology of early-phase 2019 novel coronavirus (COVID-19) pneumonia in two patients with lung cancer. J Thorac Oncol 2020;15:700-704 
  16. Zou X, Chen K, Zou J, Han P, Hao J, Han Z. Single-cell RNA-seq data analysis on the receptor ACE2 expression reveals the potential risk of different human organs vulnerable to 2019-nCoV infection. Front Med 2020;14:185-192 
  17. Gralinski LE, Bankhead A 3rd, Jeng S, Menachery VD, Proll S, Belisle SE, et al. Mechanisms of severe acute respiratory syndrome coronavirus-induced acute lung injury. mBio 2013;4:e00271-13 
  18. Kligerman SJ, Franks TJ, Galvin JR. From the radiologic pathology archives: organization and fibrosis as a response to lung injury in diffuse alveolar damage, organizing pneumonia, and acute fibrinous and organizing pneumonia. Radiographics 2013;33:1951-1975 
  19. Yoon SH, Lee KH, Kim JY, Lee YK, Ko H, Kim KH, et al. Chest radiographic and CT findings of the 2019 novel coronavirus disease (COVID-19): analysis of nine patients treated in Korea. Korean J Radiol 2020;21:494-500 
  20. Xia T, Li J, Gao J, Xu X. Small solitary ground-glass nodule on CT as an initial manifestation of coronavirus disease 2019 (COVID-19) pneumonia. Korean J Radiol 2020;21:545-549 
  21. Muller NL, Miller RR. Diseases of the bronchioles: CT and histopathologic findings. Radiology 1995;196:3-12 
  22. Lee KS, Kim EA. High-resolution CT of alveolar filling disorders. Radiol Clin North Am 2001;39:1211-1230 
  23. Hochhegger B, Langer FW, Irion K, Souza A, Moreira J, Baldisserotto M, et al. Pulmonary acinus: understanding the computed tomography findings from an acinar perspective. Lung 2019;197:259-265 
  24. Bots EM, den Bakker MA, Wijsenbeek MS, van den Toorn LM, van den Blink B. "Tree in bud" attributable to organising pneumonia. Thorax 2013;68:399-400