Literature DB >> 33491340

Radiological perspective of COVID-19 pneumonia: The early features and progressive behaviour on high-resolution CT.

Tetsuya Tsujikawa1, Yukihiro Umeda2, Harumi Itoh3, Toyohiko Sakai3, Hiromichi Iwasaki4, Hidehiko Okazawa1, Tamotsu Ishizuka2, Hirohiko Kimura3.   

Abstract

Since the outbreak of Coronavirus disease 2019 (COVID-19) in China, many researchers have reported the chest CT manifestations of COVID-19 pneumonia. High-resolution CT (HRCT) of the lung can provide important clues to understand the progressive behaviour of COVID-19 pneumonia. This pictorial essay discusses the early features and potential progressive behaviour of COVID-19 on HRCT of the lung.
© 2021 The Royal Australian and New Zealand College of Radiologists.

Entities:  

Keywords:  COVID-19; HRCT; pneumonia

Mesh:

Year:  2021        PMID: 33491340      PMCID: PMC8013342          DOI: 10.1111/1754-9485.13139

Source DB:  PubMed          Journal:  J Med Imaging Radiat Oncol        ISSN: 1754-9477            Impact factor:   1.667


Introduction

In the past two decades, severe acute respiratory syndrome coronavirus (SARS‐CoV) and Middle East respiratory syndrome coronavirus (MERS‐CoV) has caused severe respiratory diseases SARS and MERS in endemic areas, respectively. , In December 2019, an outbreak of pneumonia caused by a novel coronavirus (SARS‐CoV‐2) named Coronavirus disease 2019 (COVID‐19) began in Wuhan, China, and rapidly evolved into a pandemic. SARS‐CoV‐2 has approximately 80% genome sequence identity with SARS‐CoV and similarly uses angiotensin‐converting enzyme‐2 (ACE‐2) as a functional receptor. High ACE‐2 expression is known in alveolar type II cells (AT2) of the lung and many patients infected with COVID‐19 develop pneumonia. Many researchers have reported the chest CT manifestations of COVID‐19 pneumonia, and chest CT is recognized as a key tool for medical triage of patients suspected of having COVID‐19 who present with moderate‐severe clinical features and a high pre‐test probability of disease. , High‐resolution CT (HRCT) of the lung is well established for diagnosing and managing many pulmonary diseases, and it can provide important clues to understand the characteristics of COVID‐19 pneumonia. This pictorial essay discusses the early features and potential progressive behaviour of COVID‐19 pneumonia on HRCT.

Lobular anatomy

The secondary pulmonary lobule (SPL) refers to the smallest unit of lung structure separated by the interlobular septa containing pulmonary veins, lymphatics and connective tissue. The anatomy of the SPL with its structures, dimensions and visibility on HRCT is shown in Fig. 1. Small veins peripherally located in the interlobular septa and visceral pleura between the acini (assumed interacinar septa) are also included, which help to understand the characteristics of COVID‐19 pneumonia.
Fig. 1

Secondary pulmonary lobule (SPL) with its structures, dimensions, and visibility on HRCT.

Secondary pulmonary lobule (SPL) with its structures, dimensions, and visibility on HRCT.

Distribution at SPL level

The distribution patterns of the lesion at the SPL level in pulmonary diseases are shown in Fig. 2. Centrilobular pattern (A) consists of nodular opacities at the acinus level typically observed in pulmonary tuberculosis and mycoplasma pneumonia. Bronchovascular pattern (B) consists of thickening of bronchovascular bundles typically observed in bronchopneumonia. Panlobular patterns (C,D) consist of dense or ground‐glass opacities (GGOs) typically observed in bacterial pneumonia and cryptogenic organizing pneumonia. Perilymphatic pattern (E) consists of nodular opacities or thickening or both along lymphatics located in peri‐bronchovascular bundles and interlobular septa typically observed in sarcoidosis, lymphangitis carcinomatosa and interstitial lung oedema. Perilymphatic distribution is sometimes accompanied by an intralobular reticular pattern (F) consisting of fine crossing lines of opacity separated by a few millimetres (assumed thickening of interacinar septa). The combination of the ground‐glass panlobular pattern (D) and reticular pattern (F) is known as a crazy‐paving appearance (G), which is typically observed in pulmonary alveolar proteinosis (PAP) and acute respiratory distress syndrome (ARDS). Collapsed pattern (H) consists of airspace consolidation with volume loss typically observed in later stages of bacterial pneumonia.
Fig. 2

Distribution patterns of the lesion at the SPL level. a: centrilobular, b: bronchovascular, c and d: panlobular, e: perilymphatic, f: reticular, g: crazy‐paving, h: collapsed.

Distribution patterns of the lesion at the SPL level. a: centrilobular, b: bronchovascular, c and d: panlobular, e: perilymphatic, f: reticular, g: crazy‐paving, h: collapsed.

HRCT findings of COVID‐19 pneumonia

COVID‐19 pneumonia demonstrates almost all distribution patterns on HRCT. The most representative early finding on HRCT is the patchy GGOs around the size of an acinus in a centrilobular distribution (Fig. 3a). The centrilobular distribution of GGOs indicates bronchiolar infection of SARS‐CoV‐2. GGOs easily become fused together across interlobular septa (Fig. 3b). Due to the high affinity of SARS‐CoV‐2 for ACE‐2 expressed in AT2 of the lung, the lesions mainly exist and progress in lung alveoli resulting in the peripherally located GGOs. In contrast, the centrilobular small nodules reflecting bronchiolitis were not observed.
Fig. 3

Patchy GGOs in a centrilobular distribution (a) and their fusion (b) in a 53‐year‐old woman. PA, pulmonary artery; PV, pulmonary vein.

Patchy GGOs in a centrilobular distribution (a) and their fusion (b) in a 53‐year‐old woman. PA, pulmonary artery; PV, pulmonary vein. In some patients whose respiratory symptoms progressed, GGOs (Fig. 4a) significantly progressed with partial volume loss and interstitial lines in the lung periphery (Fig. 4b). The volume loss (collapsed pattern: Fig. 2h) can be evaluated by the changes in the position of peripheral vessels and interlobar pleura. The peripheral interstitial lines are interlobular septal thickening, termed Kerley B lines, commonly due to mild pulmonary oedema (Fig. 4b).
Fig. 4

The GGOs (a) and disease progression (b) with partial alveolar collapse and interstitial oedema observed in a 70‐year‐old man.

The GGOs (a) and disease progression (b) with partial alveolar collapse and interstitial oedema observed in a 70‐year‐old man. One of the other representative HRCT findings is the crazy‐paving appearance referring to the appearance of GGOs with superimposed inter‐ and intralobular septal thickening (Fig. 5). In COVID‐19 pneumonia, the crazy‐paving appearance can be observed in both severe and non‐severe patients with disease progression or at the peak stage. It is typically found in patients with PAP and ARDS (Fig. 2g). PAP is a rare lung disorder characterized by an abnormal accumulation of surfactant proteins. The pathological findings of early‐stage COVID‐19 pneumonia were described as prominent proteinaceous exudates with granules in alveolar spaces, pneumocyte hyperplasia and interstitial thickening. These pathological findings are similar to those of PAP. ARDS is recognized as the severe form of acute lung injury consisting of alveolar oedema and interstitial inflammation, which is one of the major phenotypes of COVID‐19. The entry of SARS‐CoV‐2 into AT2 and subsequent proinflammatory cytokine release (cytokine storm) may cause ARDS and the crazy‐paving appearance on HRCT.
Fig. 5

Crazy‐paving appearances in a 56‐year‐old woman.

Crazy‐paving appearances in a 56‐year‐old woman. CT halo and reversed halo signs , can be observed in COVID‐19 pneumonia (Fig. 6a,b, respectively). Although the CT halo sign was classically described in haemorrhagic nodules, typically observed in angio invasive fungal infections and vasculitis, viral infections and organizing pneumonia are known as differential causes for the halo sign. The reversed halo sign, defined as an area with GGO surrounded by partial or complete rings of consolidation, typically develops longer after symptom onset, suggesting that this CT finding correlates with the underlying pathophysiology of the disease process as it organizes. These findings suggest that organizing pneumonia is one of the mechanisms of late lung injury in COVID‐19 pneumonia.
Fig. 6

The CT halo (a) and reversed halo signs (b) in a 37‐year‐old man.

The CT halo (a) and reversed halo signs (b) in a 37‐year‐old man. In conclusion, the initial HRCT finding of COVID‐19 pneumonia is patchy GGOs around the size of an acinus in a centrilobular distribution, indicating bronchiolar infection of SARS‐CoV‐2. Typical findings of bronchiolitis are rare, probably due to the high affinity of SARS‐CoV‐2 for ACE‐2 expressed in alveoli. The GGOs easily become fused together across interlobular septa, and progress with partial alveolar collapse and interlobular septal thickening. The crazy‐paving appearance is sometimes observed in non‐severe patients with COVID‐19 pneumonia, considered to result from the alveolar oedema and interstitial inflammation caused by impaired production of surfactant proteins or proinflammatory cytokine release or both in patients with disease progression or at the peak stage. CT halo and reversed halo signs reflect organizing pneumonia in the stage of late lung injury in COVID‐19 pneumonia.
  12 in total

1.  COVID-19 pneumonia and the reversed halo sign.

Authors:  Lucas de Pádua Gomes de Farias; Daniel Giunchetti Strabelli; Márcio Valente Yamada Sawamura
Journal:  J Bras Pneumol       Date:  2020-04-22       Impact factor: 2.624

2.  The secondary pulmonary lobule: a practical concept for interpretation of chest radiographs. I. Roentgen anatomy of the normal secondary pulmonary lobule.

Authors:  E R Heitzman; B Markarian; I Berger; E Dailey
Journal:  Radiology       Date:  1969-09       Impact factor: 11.105

3.  Isolation of a novel coronavirus from a man with pneumonia in Saudi Arabia.

Authors:  Ali M Zaki; Sander van Boheemen; Theo M Bestebroer; Albert D M E Osterhaus; Ron A M Fouchier
Journal:  N Engl J Med       Date:  2012-10-17       Impact factor: 91.245

4.  Chest CT Findings in Coronavirus Disease-19 (COVID-19): Relationship to Duration of Infection.

Authors:  Adam Bernheim; Xueyan Mei; Mingqian Huang; Yang Yang; Zahi A Fayad; Ning Zhang; Kaiyue Diao; Bin Lin; Xiqi Zhu; Kunwei Li; Shaolin Li; Hong Shan; Adam Jacobi; Michael Chung
Journal:  Radiology       Date:  2020-02-20       Impact factor: 11.105

5.  Correlation of Chest CT and RT-PCR Testing for Coronavirus Disease 2019 (COVID-19) in China: A Report of 1014 Cases.

Authors:  Tao Ai; Zhenlu Yang; Hongyan Hou; Chenao Zhan; Chong Chen; Wenzhi Lv; Qian Tao; Ziyong Sun; Liming Xia
Journal:  Radiology       Date:  2020-02-26       Impact factor: 11.105

6.  Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China.

Authors:  Chaolin Huang; Yeming Wang; Xingwang Li; Lili Ren; Jianping Zhao; Yi Hu; Li Zhang; Guohui Fan; Jiuyang Xu; Xiaoying Gu; Zhenshun Cheng; Ting Yu; Jiaan Xia; Yuan Wei; Wenjuan Wu; Xuelei Xie; Wen Yin; Hui Li; Min Liu; Yan Xiao; Hong Gao; Li Guo; Jungang Xie; Guangfa Wang; Rongmeng Jiang; Zhancheng Gao; Qi Jin; Jianwei Wang; Bin Cao
Journal:  Lancet       Date:  2020-01-24       Impact factor: 79.321

7.  Genomic characterisation and epidemiology of 2019 novel coronavirus: implications for virus origins and receptor binding.

Authors:  Roujian Lu; Xiang Zhao; Juan Li; Peihua Niu; Bo Yang; Honglong Wu; Wenling Wang; Hao Song; Baoying Huang; Na Zhu; Yuhai Bi; Xuejun Ma; Faxian Zhan; Liang Wang; Tao Hu; Hong Zhou; Zhenhong Hu; Weimin Zhou; Li Zhao; Jing Chen; Yao Meng; Ji Wang; Yang Lin; Jianying Yuan; Zhihao Xie; Jinmin Ma; William J Liu; Dayan Wang; Wenbo Xu; Edward C Holmes; George F Gao; Guizhen Wu; Weijun Chen; Weifeng Shi; Wenjie Tan
Journal:  Lancet       Date:  2020-01-30       Impact factor: 79.321

8.  Histopathologic Changes and SARS-CoV-2 Immunostaining in the Lung of a Patient With COVID-19.

Authors:  Huilan Zhang; Peng Zhou; Yanqiu Wei; Huihui Yue; Yi Wang; Ming Hu; Shu Zhang; Tanze Cao; Chengqing Yang; Ming Li; Guangyun Guo; Xianxiang Chen; Ying Chen; Mei Lei; Huiguo Liu; Jianping Zhao; Peng Peng; Cong-Yi Wang; Ronghui Du
Journal:  Ann Intern Med       Date:  2020-03-12       Impact factor: 25.391

9.  Epidemiology and cause of severe acute respiratory syndrome (SARS) in Guangdong, People's Republic of China, in February, 2003.

Authors:  N S Zhong; B J Zheng; Y M Li; Z H Xie; K H Chan; P H Li; S Y Tan; Q Chang; J P Xie; X Q Liu; J Xu; D X Li; K Y Yuen; Y Guan
Journal:  Lancet       Date:  2003-10-25       Impact factor: 79.321

10.  Pulmonary Pathology of Early-Phase 2019 Novel Coronavirus (COVID-19) Pneumonia in Two Patients With Lung Cancer.

Authors:  Sufang Tian; Weidong Hu; Li Niu; Huan Liu; Haibo Xu; Shu-Yuan Xiao
Journal:  J Thorac Oncol       Date:  2020-02-28       Impact factor: 15.609

View more
  1 in total

1.  Chest Computed Tomography Is an Efficient Method for Initial Diagnosis of COVID-19: An Observational Study.

Authors:  Waldonio de Brito Vieira; Karen Margarete Vieira da Silva Franco; Apio Ricardo Nazareth Dias; Aline Semblano Carreira Falcão; Luiz Fábio Magno Falcão; Juarez Antonio Simões Quaresma; Rita Catarina Medeiros de Sousa
Journal:  Front Med (Lausanne)       Date:  2022-04-12
  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.