Literature DB >> 32302927

Portable chest X-ray in coronavirus disease-19 (COVID-19): A pictorial review.

Adam Jacobi1, Michael Chung2, Adam Bernheim3, Corey Eber4.   

Abstract

As the global pandemic of coronavirus disease-19 (COVID-19) progresses, many physicians in a wide variety of specialties continue to play pivotal roles in diagnosis and management. In radiology, much of the literature to date has focused on chest CT manifestations of COVID-19 (Zhou et al. [1]; Chung et al. [2]). However, due to infection control issues related to patient transport to CT suites, the inefficiencies introduced in CT room decontamination, and lack of CT availability in parts of the world, portable chest radiography (CXR) will likely be the most commonly utilized modality for identification and follow up of lung abnormalities. In fact, the American College of Radiology (ACR) notes that CT decontamination required after scanning COVID-19 patients may disrupt radiological service availability and suggests that portable chest radiography may be considered to minimize the risk of cross-infection (American College of Radiology [3]). Furthermore, in cases of high clinical suspicion for COVID-19, a positive CXR may obviate the need for CT. Additionally, CXR utilization for early disease detection may also play a vital role in areas around the world with limited access to reliable real-time reverse transcription polymerase chain reaction (RT-PCR) COVID testing. The purpose of this pictorial review article is to describe the most common manifestations and patterns of lung abnormality on CXR in COVID-19 in order to equip the medical community in its efforts to combat this pandemic.
Copyright © 2020 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  COVID-19; Chest CT; Chest X-ray; Coronavirus

Mesh:

Substances:

Year:  2020        PMID: 32302927      PMCID: PMC7141645          DOI: 10.1016/j.clinimag.2020.04.001

Source DB:  PubMed          Journal:  Clin Imaging        ISSN: 0899-7071            Impact factor:   1.605


Ground glass densities

CXR is a less sensitive modality in the detection of COVID-19 lung disease compared to CT, with a reported baseline CXR sensitivity of 69% [4]. The most common reported CXR and CT findings of COVID-19 include lung consolidation and ground glass opacities2. Ground glass densities observed on CT may often have a correlate that is extremely difficult to detect on CXR (Fig. 1, Fig. 2 ).
Fig. 1

Portable CXR (left) with vague hazy densities in the right upper lobe (white arrow) which correspond to ground glass opacities (black arrow) on coronal image from contrast enhanced CT (right) performed the same day.

Fig. 2

CXR (left) with patchy peripheral left mid to lower lung opacities (black arrow) corresponding to ground glass opacities (white arrow) on coronal image from contrast-enhanced the contemporaneous chest CT (right).

Portable CXR (left) with vague hazy densities in the right upper lobe (white arrow) which correspond to ground glass opacities (black arrow) on coronal image from contrast enhanced CT (right) performed the same day. CXR (left) with patchy peripheral left mid to lower lung opacities (black arrow) corresponding to ground glass opacities (white arrow) on coronal image from contrast-enhanced the contemporaneous chest CT (right). Often, reticular opacities accompanying regions of ground glass attenuation are more easily appreciable on standard CXR (Fig. 3 ).
Fig. 3

CXR (left) with reticular and hazy left lower lobe opacities (black arrow) in a patient with COVID-19. Similar findings are present on the coronal CT from the same day (right).

CXR (left) with reticular and hazy left lower lobe opacities (black arrow) in a patient with COVID-19. Similar findings are present on the coronal CT from the same day (right). The hazy pulmonary opacities on CXR can sometimes be diffuse making identification challenging in some instances (Fig. 4 ).
Fig. 4

CXR (left) with subtle ill-defined hazy opacities in the right (black arrows) greater than left lungs in a patient with COVID-19. Findings are easier to appreciate on subsequent CT the same day (right).

CXR (left) with subtle ill-defined hazy opacities in the right (black arrows) greater than left lungs in a patient with COVID-19. Findings are easier to appreciate on subsequent CT the same day (right).

Bilateral lower lobe consolidations

As opposed to community acquired bacterial pneumonia which tends to be unilateral and involving a single lobe [5], COVID-19 and other viral pneumonias typically produce lung opacities in more than one lobe. Identifying multifocal air-space disease on CXR can be a significant clue to COVID-19 pneumonia. Early COVID-19 investigators have noted that the air-space disease tends to have a lower lung distribution and is most frequently bilateral [4] (Fig. 5 ).
Fig. 5

Six different patients with varying degrees of COVID-19 pneumonia predominantly involving the lower lung zones (black arrows) bilaterally on CXR.

Six different patients with varying degrees of COVID-19 pneumonia predominantly involving the lower lung zones (black arrows) bilaterally on CXR.

Peripheral air space opacities

One of the most unique and somewhat specific features of COVID-19 pneumonia is the high frequency of peripheral lung involvement, often mirroring other inflammatory processes such as organizing pneumonia. Chung et al. reported that 33% of COVID-19 chest CTs had peripheral lung distribution [2] and Ng et al. reported an even greater incidence of up to 86% on chest CT [6]. Such peripheral lung opacities also tend to be multifocal, either patchy or confluent, and can be readily identified on CXR (Fig. 6 ).
Fig. 6

Four different patients with varying degrees of COVID-19 pneumonia on CXR predominantly involving the peripheral lungs bilaterally (black arrows).

Four different patients with varying degrees of COVID-19 pneumonia on CXR predominantly involving the peripheral lungs bilaterally (black arrows).

Diffuse air space disease

Diffuse lung opacities in patients with COVID-19 have a similar CXR pattern (Fig. 7 ) as other widespread infectious or inflammatory processes including acute respiratory distress syndrome (ARDS).
Fig. 7

CXR (left) and subsequent coronal image from chest CT (right) performed in a patient with COVID-19 and diffuse ground glass and consolidative opacities throughout both lungs.

CXR (left) and subsequent coronal image from chest CT (right) performed in a patient with COVID-19 and diffuse ground glass and consolidative opacities throughout both lungs. When lung disease involves the majority of the pulmonary parenchyma, patients are typically hypoxic and require intubation with mechanical intubation (Fig. 8 ).
Fig. 8

Two different intubated patients with COVID-19 infection and diffuse lung opacities.

Two different intubated patients with COVID-19 infection and diffuse lung opacities. Lung opacities may rapidly evolve into a diffuse coalescent or consolidative pattern within 1–3 weeks of symptom onset [1,7], often peaking at around 6–12 days after initial clinical presentation (Fig. 9, Fig. 10 ).
Fig. 9

Serial radiographs over 7 days in a patient with COVID-19 infection depicting progression of diffuse lung disease that ultimately required intubation.

Fig. 10

Serial chest radiographs of a different patient with COVID-19 infection separated by 6 days depicting progression of diffuse lung disease requiring intubation.

Serial radiographs over 7 days in a patient with COVID-19 infection depicting progression of diffuse lung disease that ultimately required intubation. Serial chest radiographs of a different patient with COVID-19 infection separated by 6 days depicting progression of diffuse lung disease requiring intubation.

Uncommon CXR findings

Pleural effusions have been reported as exceedingly rare on CXR and CT in COVID-19 infected patients, and when present are most often identified late in the disease course [8]. Lung cavitation and pneumothorax are also rare findings in COVID-19 patients [8] but can occur (Fig. 11 ).
Fig. 11

Serial chest radiographs of a COVID-19 patient with diffuse lung opacities (left image) with interval cavitation (left image white arrows) and tension pneumothorax (right image black arrow). Successful chest tube placement was subsequently performed (not shown).

Serial chest radiographs of a COVID-19 patient with diffuse lung opacities (left image) with interval cavitation (left image white arrows) and tension pneumothorax (right image black arrow). Successful chest tube placement was subsequently performed (not shown). Localized large nodules have yet to be reported in the literature to this date (Fig. 12 ).
Fig. 12

A unique case of a rapidly enlarging right lung nodule (left image, white arrow) over the course of 5 days. Subsequent bronchoscopy with tissue sampling revealed COVID-19 infection.

A unique case of a rapidly enlarging right lung nodule (left image, white arrow) over the course of 5 days. Subsequent bronchoscopy with tissue sampling revealed COVID-19 infection. Diffuse chest wall subcutaneous emphysema and pneumomediastinum after intubation in the setting of COVID-19 infection has been described in one case report [9], as of the time of this writing. This phenomenon has also been reported previously in the setting of H1N1 viral infection [10]. Since the influx of cases began at our institution, we have noticed this to occur in several patients (Fig. 13 ). Potential mechanisms include alveolar rupture leading to interstitial emphysema from the currently recommended high positive end-expiratory pressure (PEEP) settings on COVID-19 ventilated patients according to the Macklin effect [11]. The diffuse alveolar damage in severe cases may also contribute to alveolar rupture. The exact mechanism requires additional investigation.
Fig. 13

Two different intubated patients with COVID-19 and diffuse subcutaneous emphysema and pneumomediastinum identified on CXR. No pneumothorax was identified.

Two different intubated patients with COVID-19 and diffuse subcutaneous emphysema and pneumomediastinum identified on CXR. No pneumothorax was identified.

Conclusions

Patterns of COVID-19 lung disease can be identified on conventional chest radiography as well as chest CT. Typical verbiage when reporting patients with, or suspected COVID-19 on CXR include terms such as irregular, patchy, hazy, reticular, and widespread ground glass opacities. Grading disease severity based on total lung involvement is also important to relay to the clinicians. As the pandemic progresses, the medical community will frequently rely on portable CXR due to its widespread availability and reduced infection control issues that currently limit CT utilization.

Credit authorship contribution statement

Adam Jacobi:Conceptualization, Writing - original draft, Supervision.Michael Chung:Conceptualization, Writing - review & editing.Adam Bernheim:Writing - review & editing, Resources.Corey Eber:Writing - review & editing, Resources.
  9 in total

1.  Best cases from the AFIP: fatal 2009 influenza A (H1N1) infection, complicated by acute respiratory distress syndrome and pulmonary interstitial emphysema.

Authors:  H Henry Guo; Robert T Sweeney; Donald Regula; Ann N Leung
Journal:  Radiographics       Date:  2010-01-12       Impact factor: 5.333

2.  CT Features of Coronavirus Disease 2019 (COVID-19) Pneumonia in 62 Patients in Wuhan, China.

Authors:  Shuchang Zhou; Yujin Wang; Tingting Zhu; Liming Xia
Journal:  AJR Am J Roentgenol       Date:  2020-03-05       Impact factor: 3.959

3.  Management of Critically Ill Adults With COVID-19.

Authors:  Jason T Poston; Bhakti K Patel; Andrew M Davis
Journal:  JAMA       Date:  2020-03-26       Impact factor: 56.272

4.  Radiology of bacterial pneumonia.

Authors:  José Vilar; Maria Luisa Domingo; Cristina Soto; Jonathan Cogollos
Journal:  Eur J Radiol       Date:  2004-08       Impact factor: 3.528

5.  Coronavirus Disease 2019 (COVID-19): A Systematic Review of Imaging Findings in 919 Patients.

Authors:  Sana Salehi; Aidin Abedi; Sudheer Balakrishnan; Ali Gholamrezanezhad
Journal:  AJR Am J Roentgenol       Date:  2020-03-14       Impact factor: 3.959

6.  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

7.  CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV).

Authors:  Michael Chung; Adam Bernheim; Xueyan Mei; Ning Zhang; Mingqian Huang; Xianjun Zeng; Jiufa Cui; Wenjian Xu; Yang Yang; Zahi A Fayad; Adam Jacobi; Kunwei Li; Shaolin Li; Hong Shan
Journal:  Radiology       Date:  2020-02-04       Impact factor: 11.105

8.  Frequency and Distribution of Chest Radiographic Findings in Patients Positive for COVID-19.

Authors:  Ho Yuen Frank Wong; Hiu Yin Sonia Lam; Ambrose Ho-Tung Fong; Siu Ting Leung; Thomas Wing-Yan Chin; Christine Shing Yen Lo; Macy Mei-Sze Lui; Jonan Chun Yin Lee; Keith Wan-Hang Chiu; Tom Wai-Hin Chung; Elaine Yuen Phin Lee; Eric Yuk Fai Wan; Ivan Fan Ngai Hung; Tina Poy Wing Lam; Michael D Kuo; Ming-Yen Ng
Journal:  Radiology       Date:  2020-03-27       Impact factor: 11.105

9.  Mediastinal Emphysema, Giant Bulla, and Pneumothorax Developed during the Course of COVID-19 Pneumonia.

Authors:  Ruihong Sun; Hongyuan Liu; Xiang Wang
Journal:  Korean J Radiol       Date:  2020-03-20       Impact factor: 3.500

  9 in total
  136 in total

1.  Involvement of the Mediastinal Subpleural Pulmonary Parenchyma on Chest CT in COVID-19 patients: A Case Series.

Authors:  Luigi Urciuoli; Elvira Guerriero; Lanfranco Musto
Journal:  J Radiol Case Rep       Date:  2020-11-30

2.  Using Artificial Intelligence for COVID-19 Chest X-ray Diagnosis.

Authors:  Andrew A Borkowski; Narayan A Viswanadhan; L Brannon Thomas; Rodney D Guzman; Lauren A Deland; Stephen M Mastorides
Journal:  Fed Pract       Date:  2020-09

Review 3.  Multisystem Imaging Manifestations of COVID-19, Part 1: Viral Pathogenesis and Pulmonary and Vascular System Complications.

Authors:  Margarita V Revzin; Sarah Raza; Robin Warshawsky; Catherine D'Agostino; Neil C Srivastava; Anna S Bader; Ajay Malhotra; Ritesh D Patel; Kan Chen; Christopher Kyriakakos; John S Pellerito
Journal:  Radiographics       Date:  2020-10       Impact factor: 5.333

4.  COVID-19: Indian Society of Neuroradiology (ISNR) Consensus Statement and Recommendations for Safe Practice of Neuroimaging and Neurointerventions.

Authors:  Leve Joseph Devarajan Sebastian; Chirag Ahuja; Sabarish Sekar; Santhakumar Senthilvelan; Karthik Kulanthaivelu; Vivek Lanka; Vinay Goel; Sarita Mohapatra; Chirag Jain; S Senthilkumaran; Ajay Garg; Parthiban Balasundaram; Ajay Kumar; Aarti Kapil; Chandrasekharan Kesavadas; Vivek Gupta
Journal:  Neuroradiol J       Date:  2020-10

5.  The Role of Medical Imaging in COVID-19.

Authors:  Houman Sotoudeh; Masoumeh Gity
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

6.  Early assessment of lung function in coronavirus patients using invariant markers from chest X-rays images.

Authors:  Mohamed Elsharkawy; Ahmed Sharafeldeen; Fatma Taher; Ahmed Shalaby; Ahmed Soliman; Ali Mahmoud; Mohammed Ghazal; Ashraf Khalil; Norah Saleh Alghamdi; Ahmed Abdel Khalek Abdel Razek; Eman Alnaghy; Moumen T El-Melegy; Harpal Singh Sandhu; Guruprasad A Giridharan; Ayman El-Baz
Journal:  Sci Rep       Date:  2021-06-08       Impact factor: 4.379

7.  Hyperimmune anti-COVID-19 IVIG (C-IVIG) treatment in severe and critical COVID-19 patients: A phase I/II randomized control trial.

Authors:  Shaukat Ali; Syed Muneeb Uddin; Elisha Shalim; Muneeba Ahsan Sayeed; Fatima Anjum; Farah Saleem; Sheikh Muhammad Muhaymin; Ayesha Ali; Mir Rashid Ali; Iqra Ahmed; Tehreem Mushtaq; Sadaf Khan; Faisal Shahab; Shobha Luxmi; Suneel Kumar; Habiba Arain; Mujtaba Khan; Abdul Samad Khan; Hamid Mehmood; Abdur Rasheed; Ashraf Jahangeer; SaifUllah Baig; Saeed Quraishy
Journal:  EClinicalMedicine       Date:  2021-06-04

8.  Early Prediction of COVID-19 Ventilation Requirement and Mortality from Routinely Collected Baseline Chest Radiographs, Laboratory, and Clinical Data with Machine Learning.

Authors:  Abdulrhman Fahad Aljouie; Ahmed Almazroa; Yahya Bokhari; Mohammed Alawad; Ebrahim Mahmoud; Eman Alawad; Ali Alsehawi; Mamoon Rashid; Lamya Alomair; Shahad Almozaai; Bedoor Albesher; Hassan Alomaish; Rayyan Daghistani; Naif Khalaf Alharbi; Manal Alaamery; Mohammad Bosaeed; Hesham Alshaalan
Journal:  J Multidiscip Healthc       Date:  2021-07-30

9.  Pulmonary Barotrauma in COVID-19 Patients: Invasive versus Noninvasive Positive Pressure Ventilation.

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Journal:  Int J Gen Med       Date:  2021-05-24

Review 10.  [COVID-19 diagnostic tests: importance of the clinical context].

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