Literature DB >> 32255413

The Role of Chest Imaging in Patient Management during the COVID-19 Pandemic: A Multinational Consensus Statement from the Fleischner Society.

Geoffrey D Rubin1, Christopher J Ryerson1, Linda B Haramati1, Nicola Sverzellati1, Jeffrey P Kanne1, Suhail Raoof1, Neil W Schluger1, Annalisa Volpi1, Jae-Joon Yim1, Ian B K Martin1, Deverick J Anderson1, Christina Kong1, Talissa Altes1, Andrew Bush1, Sujal R Desai1, Onathan Goldin1, Jin Mo Goo1, Marc Humbert1, Yoshikazu Inoue1, Hans-Ulrich Kauczor1, Fengming Luo1, Peter J Mazzone1, Mathias Prokop1, Martine Remy-Jardin1, Luca Richeldi1, Cornelia M Schaefer-Prokop1, Noriyuki Tomiyama1, Athol U Wells1, Ann N Leung1.   

Abstract

With more than 900 000 confirmed cases worldwide and nearly 50 000 deaths during the first 3 months of 2020, the coronavirus disease 2019 (COVID-19) pandemic has emerged as an unprecedented health care crisis. The spread of COVID-19 has been heterogeneous, resulting in some regions having sporadic transmission and relatively few hospitalized patients with COVID-19 and others having community transmission that has led to overwhelming numbers of severe cases. For these regions, health care delivery has been disrupted and compromised by critical resource constraints in diagnostic testing, hospital beds, ventilators, and health care workers who have fallen ill to the virus exacerbated by shortages of personal protective equipment. Although mild cases mimic common upper respiratory viral infections, respiratory dysfunction becomes the principal source of morbidity and mortality as the disease advances. Thoracic imaging with chest radiography and CT are key tools for pulmonary disease diagnosis and management, but their role in the management of COVID-19 has not been considered within the multivariable context of the severity of respiratory disease, pretest probability, risk factors for disease progression, and critical resource constraints. To address this deficit, a multidisciplinary panel comprised principally of radiologists and pulmonologists from 10 countries with experience managing patients with COVID-19 across a spectrum of health care environments evaluated the utility of imaging within three scenarios representing varying risk factors, community conditions, and resource constraints. Fourteen key questions, corresponding to 11 decision points within the three scenarios and three additional clinical situations, were rated by the panel based on the anticipated value of the information that thoracic imaging would be expected to provide. The results were aggregated, resulting in five main and three additional recommendations intended to guide medical practitioners in the use of chest radiography and CT in the management of COVID-19. © RSNA, 2020; American College of Chest Physicians, published by Elsevier Inc.Editor's note: This article is being simultaneously published in.

Entities:  

Mesh:

Year:  2020        PMID: 32255413      PMCID: PMC7233395          DOI: 10.1148/radiol.2020201365

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


■ Imaging is not indicated in patients with suspected COVID-19 and mild clinical features unless they are at risk for disease progression. ■ Imaging is indicated in a patient with COVID-19 and worsening respiratory status. ■ In a resource-constrained environment, imaging is indicated for medical triage of patients with suspected COVID-19 who present with moderate-severe clinical features and a high pre-test probability of disease.

Introduction

On March 11, 2020 the World Health Organization (WHO) officially characterized the rapid global spread of coronavirus disease 2019 (COVID-19) as a pandemic and called for urgent international action in four key areas: to prepare and be ready; detect, protect, and treat; reduce transmission; and innovate and learn (1). At the time of writing (April 1, 2020), there are over 900,000 confirmed COVID-19 cases and nearly 50,000 deaths in 205 countries around the world, with the majority of cases concentrated in 4 countries: United States, Italy, Spain, and China (2, 3). With sustained community transmission now established in multiple countries on multiple continents, the WHO public health goal has changed from containment to mitigation of the pandemic’s impact. Consequently, strategies are now focused on efforts to reduce the incidence, morbidity, and mortality of COVID-19 by breaking the chain of human transmission through social distancing and imposed quarantine.

Diagnostic Testing

Early detection and containment of infection caused by the novel coronavirus SARS-CoV2 has been hindered by the need to develop, mass produce, and widely disseminate the required molecular diagnostic test, a real-time reverse transcriptase-polymerase chain reaction (RT-PCR) assay. Early reports of test performance in the Wuhan outbreak showed variable sensitivities ranging from 37% to 71% (4, 5). While laboratory-based performance evaluations of RT-PCR test show high analytical sensitivity and near-perfect specificity with no misidentification of other coronaviruses or common respiratory pathogens, test sensitivity in clinical practice may be adversely affected by a number of variables including: adequacy of specimen, specimen type, specimen handling, and stage of infection when the specimen is acquired (CDC guidelines for in-vitro diagnostics) (6, 7). False negative RT-PCR tests have been reported in patients with CT findings of COVID-19 who were eventually tested positive with serial sampling (8). Limited testing capacity due to insufficient specimen collection kits, lab test supplies, and testing equipment precluded early widespread testing and is believed to have contributed to rapid and unchecked transmission of infection within communities by undetected individuals with milder, limited, or no symptoms (9, 10). For example, CT screening of 82 asymptomatic individuals with confirmed COVID-19 from the cruise ship “Diamond Princess” showed findings of pneumonia in 54% (11).

Imaging Logistics During Pandemic

Provision of diagnostic imaging services to large numbers of patients suspected or confirmed to have COVID-19 during an outbreak can be challenging, as each study is lengthened and complicated by the need for strict adherence to infection control protocols designed to minimize risk of transmission and protect healthcare personnel (12). Droplet transmission followed by contaminated surfaces are believed to be the main modes of spread for SARS-CoV2 in radiology suites; all patients undergoing imaging should be masked and imaged using dedicated equipment that is cleaned and disinfected after each patient encounter (13). Although personal protection equipment (PPE) recommendations vary between countries, the current Centers of Disease Control (CDC) guidelines recommend radiology staff wear a mask, goggles or face shield, gloves, and an isolation gown. In countries with more stringent PPE protocols, a surgical cap and shoe covers may be added, while a surgical mask and goggles or face shield are suggested in some countries with less stringent PPE protocols (14). Additional precautions are required for specific situations that are more likely to generate aerosols, including patients receiving non-invasive ventilation, during intubation or extubation, throughout bronchoscopy, or when receiving nebulized therapies. Portable imaging, including imaging patients through glass walls, has been used in some hospitals to further reduce the chance of spreading infection. Written from multidisciplinary and multinational perspectives, this Fleischner statement is intended to provide context for the use of imaging to direct patient management during the COVID-19 pandemic in different practice settings, different phases of epidemic outbreak, and environments of varying critical resource availability. This document is structured around three clinical scenarios and three additional situations in which chest imaging is often considered in the evaluation of patients with potential COVID-19 infection. The committee elected to present this document as a consensus statement rather than a guideline given the limited evidence base and the urgent need for direction on this topic for the medical community.

Methods

This Consensus Statement is based upon expert opinion amongst a panel of 15 thoracic radiologists, 10 pulmonologists/intensivists (including one anesthesiologist), and 1 pathologist, as well as additional experts in emergency medicine, infection control, and laboratory medicine. The panel included individuals from the United States, Italy, China, Germany, France, United Kingdom, Netherlands, South Korea, Canada, and Japan, representing 9 of the 15 countries with the highest number of confirmed COVID-19 cases reported worldwide as of April 1, 2020 (2). The panel possessed experience managing patients during periods of local viral amplification and critical resource constraints in Wuhan China, Northern Italy, and New York City. A subcommittee composed of five radiologists, four pulmonologists/intensivists (including one anesthesiologist), and one emergency medicine physician identified and iteratively developed three scenarios that illustrate imaging-related dilemmas occurring in common clinical presentations and across varying risk factors, community conditions, and resource constraints. These scenarios included 11 distinct nodes where imaging potentially provides clinically actionable information (Figs 1, 2, 3), with three additional situations identified in which chest imaging is also often considered (Fig 4). The entire panel was convened during a single session using a live audio and video interface (Zoom Video Communications, San Jose, CA). The three scenarios and three additional situations were presented, discussed, and refined. The panel independently and anonymously rated the appropriateness of imaging with chest radiography (CXR) or CT at each of these decision points on a five-point scale. At least 70% agreement on the direction of a recommendation was considered consensus. The scenarios are intended to support the management of adults only. Children, who are typically spared from severe infections (15), merit separate consideration, particularly with regard to use of radiation-associated procedures, and are beyond the scope of the current document.
Figure 1:

The first of three clinical scenarios presented to the panel with final recommendations. Mild features refer to absence of significant pulmonary dysfunction or damage. Pre-test probability is based upon background prevalence of disease and may be further modified by individual’s exposure risk. The absence of resource constraints corresponds to sufficient availability of personnel, personal protective equipment, COVID-19 testing, hospital beds, and/or ventilators with the need to rapidly triage patients. Numbers in blue circles indicate key questions referenced in the text and presented in Figure 4. Contextual detail and considerations for imaging with CXR (chest radiography) versus CT (computed tomography) are presented in the text. (Pos=positive, Neg=negative, Mod=moderate). [Although not covered by this scenario and not shown in the figure, in the presence of significant resources constraints, there is no role for imaging of patients with mild features of COVID-19.]

Figure 2:

The second of three clinical scenarios presented to the panel with final recommendations. Moderate-to-severe features refer to evidence of significant pulmonary dysfunction or damage. Pre-test probability is based upon background prevalence of disease and may be further modified by individual’s exposure risk. The absence of resource constraints corresponds to sufficient availability of personnel, personal protective equipment, COVID-19 testing, hospital beds, and/or ventilators with the need to rapidly triage patients. Numbers in blue circles indicate key questions referenced in the text and presented in Figure 4. Contextual detail and considerations for imaging with CXR (chest radiography) versus CT (computed tomography) are presented in the text. (Pos=positive, Neg=negative, Alt Dx=alternate diagnosis).

Figure 3:

The third of three clinical scenarios presented to the panel with final recommendations. Moderate-to-severe features refer to evidence of significant pulmonary dysfunction or damage. High pre-test probability is based upon high background prevalence of disease associated with community transmission. Rapid COVID-19 test is a point-of-care test with a less than one-hour turnaround time. Numbers in blue circles indicate key questions referenced in the text and presented in Figure 4. Contextual detail and considerations for imaging with CXR (chest radiography) versus CT (computed tomography) are presented in the text. (Pos=positive, Neg=negative, Alt Dx=alternate diagnosis).

Figure 4:

Panel members (total n=27) developed 14 key questions (numerals in left column correspond to question numbers in text and Figures 1-3) that were used to support creation of common scenarios and recommendations related to the use of chest imaging in patients with features of COVID-19. The proportion of panel member votes for each question is presented on a 5-point scale, as well as a summary column that shows the total percentage who voted for or against imaging for each key question, excluding those members who were neutral or who abstained (1 panel member abstained for questions 1 and 2).

The first of three clinical scenarios presented to the panel with final recommendations. Mild features refer to absence of significant pulmonary dysfunction or damage. Pre-test probability is based upon background prevalence of disease and may be further modified by individual’s exposure risk. The absence of resource constraints corresponds to sufficient availability of personnel, personal protective equipment, COVID-19 testing, hospital beds, and/or ventilators with the need to rapidly triage patients. Numbers in blue circles indicate key questions referenced in the text and presented in Figure 4. Contextual detail and considerations for imaging with CXR (chest radiography) versus CT (computed tomography) are presented in the text. (Pos=positive, Neg=negative, Mod=moderate). [Although not covered by this scenario and not shown in the figure, in the presence of significant resources constraints, there is no role for imaging of patients with mild features of COVID-19.] The second of three clinical scenarios presented to the panel with final recommendations. Moderate-to-severe features refer to evidence of significant pulmonary dysfunction or damage. Pre-test probability is based upon background prevalence of disease and may be further modified by individual’s exposure risk. The absence of resource constraints corresponds to sufficient availability of personnel, personal protective equipment, COVID-19 testing, hospital beds, and/or ventilators with the need to rapidly triage patients. Numbers in blue circles indicate key questions referenced in the text and presented in Figure 4. Contextual detail and considerations for imaging with CXR (chest radiography) versus CT (computed tomography) are presented in the text. (Pos=positive, Neg=negative, Alt Dx=alternate diagnosis). The third of three clinical scenarios presented to the panel with final recommendations. Moderate-to-severe features refer to evidence of significant pulmonary dysfunction or damage. High pre-test probability is based upon high background prevalence of disease associated with community transmission. Rapid COVID-19 test is a point-of-care test with a less than one-hour turnaround time. Numbers in blue circles indicate key questions referenced in the text and presented in Figure 4. Contextual detail and considerations for imaging with CXR (chest radiography) versus CT (computed tomography) are presented in the text. (Pos=positive, Neg=negative, Alt Dx=alternate diagnosis). Panel members (total n=27) developed 14 key questions (numerals in left column correspond to question numbers in text and Figures 1-3) that were used to support creation of common scenarios and recommendations related to the use of chest imaging in patients with features of COVID-19. The proportion of panel member votes for each question is presented on a 5-point scale, as well as a summary column that shows the total percentage who voted for or against imaging for each key question, excluding those members who were neutral or who abstained (1 panel member abstained for questions 1 and 2). The final document was supported by a comprehensive literature search for relevant articles. Using the search terms “((coronavirus OR COVID OR SARS-CoV OR *nCoV*) AND (CT OR Computed Tomography OR Radio* OR Imag*))”, a total of 137 English articles published between Dec 1, 2019 and March 23, 2020 were identified. Each article was assessed for relevance to the primary objective and a summary of key findings from relevant articles was created.

The Use of Imaging in COVID-19

The value of an imaging test relates to the generation of results that are clinically actionable either for establishing a diagnosis or for guiding management, triage, or therapy. That value is diminished by costs that include the risk of radiation exposure to the patient, risk of COVID-19 transmission to uninfected healthcare workers and other patients, consumption of PPE, and need for cleaning and downtime of radiology rooms in resource-constrained environments. The appropriate use of imaging in each of the scenarios was considered on this basis. This statement focuses exclusively on the use of chest radiography (CXR) and computed tomography of the thorax (CT). While ultrasound has been suggested as a potential triage and diagnostic tool for COVID-19 given the predilection for the disease in subpleural regions, there is limited experience at this time (16), as well as infection control issues. CXR is insensitive in mild or early COVID-19 infection (17). However, with respect to the relative value of CXR or CT for detecting the presence of viral pneumonia, the experience is vastly different dependent upon community norms and public health directives. When patients are encouraged to present early in the course of their disease, as was the case in Wuhan, China, CXR has little value. The greater sensitivity of CT for early pneumonic changes is more relevant in the setting of a public health approach that required isolation of all infected patients within an environment where the reliability of COVID-19 testing was limited and turnaround times were long (4). Alternatively, in New York City where patients were instructed to stay at home until they experienced advanced symptoms, CXR was often abnormal at the time of presentation. Equipment portability with imaging performed within an infected patient’s isolation room is another factor that may favor CXR in selected populations, effectively eliminating the risk of COVID-19 transmission along the transport route to a CT scanner and within the room housing a CT scanner, particularly in environments lacking PPE. In hospitalized patients CXR can be useful for assessing disease progression and alternative diagnoses such as lobar pneumonia, suggestive of bacterial superinfection, pneumothorax and pleural effusion. CT is more sensitive for early parenchymal lung disease, disease progression, and alternative diagnoses including acute heart failure from COVID-19 myocardial injury (18) and when acquired with intravenous contrast material, pulmonary thromboembolism. Leveraging these superior capabilities depends upon the availability of CT capacity, particularly considering the potential reduction in CT scanner availability due to the additional time required to clean and disinfect equipment following imaging of patients with suspected COVID-19. Some centers rely on the improved depiction of COVID-19 findings with CT relative to CXR (19) and their association with clinical worsening to determine patient disposition to home, hospital admission, or intensive care. In recognition of variance amongst local practice patterns and resource availability, it is important to state at the outset that the scenarios specify the use of imaging but do not articulate the relative merit of CXR versus CT. Ultimately, the choice of imaging modality is left to the judgement of clinical teams at the point-of-care accounting for the differing attributes of CXR and CT, local resources, and expertise.

Overview of Clinical Scenarios

The scenarios apply only to patients presenting with features consistent with COVID-19 infection. The severity of respiratory disease and pre-test probability of COVID-19 infection are specified for each scenario, with additional key considerations including the presence of risk factors for disease progression, evidence of disease progression, and the presence of significant critical resource constraints (Table 1). The scenarios distinguish mild respiratory disease from moderate-to-severe respiratory disease based on the absence vs. presence of significant pulmonary dysfunction or damage. Pre-test probability is defined by the background prevalence of infection and can be estimated by observed transmission patterns: low by sporadic transmission; moderate by clustered transmission; and high by community transmission (20). Individual pre-test probability is further modified if there is known exposure through contact with a confirmed case of COVID-19 (21). For health care providers, the CDC categorizes medical-related exposures into low, medium, and high-risk groups (22). Within a diagnostic radiology department, brief (a few minutes or less) unprotected interaction with a patient with COVID-19 as well as prolonged close contact with a masked, infected patient by a medical provider wearing PPE are categorized as low-risk exposures (21, 22). Risk factors for poor outcomes in patients with COVID-19 infection are considered separately from pre-test probability, with common risk factors including age > 65 years, cardiovascular disease, diabetes, chronic respiratory disease, hypertension, and immune-compromised (23). Identifying a patient as being at high risk for COVID-19 progression is not necessarily a feature of any single risk factor, but is rather a clinical judgement based on the combination of underlying comorbidities and general health status that suggests a higher level of clinical concern. Where appropriate, management variations based upon risk factors for disease progression are called out explicitly, as in Scenario 1. All clinical scenarios begin by characterizing COVID-19 status based upon the availability of laboratory test results.
Table 1:

Definitions and Criteria for Key Components of Common Clinical Scenarios

Definitions and Criteria for Key Components of Common Clinical Scenarios

Scenario 1: Mild Features of COVID-19

The first scenario (Fig 1) addresses a patient presenting for evaluation at an outpatient clinic or via telehealth with mild respiratory features consistent with COVID-19 infection, any pre-test probability of COVID-19 infection, and no significant critical resource constraints. When COVID-19 test results are unavailable, patients with moderate-to-high pre-test probability should be initially managed as if COVID-19 testing is positive, while patients with low pre-test probability should be initially managed as if COVID-19 testing is negative. Imaging is advised for patients with risk factors for COVID-19 progression and either positive COVID-19 testing or moderate-to-high pre-test probability in the absence of COVID-19 testing (Fig 1, Q1). Imaging provides a baseline for future comparison, may establish manifestations of important comorbidities in patients with risk factors for disease progression (Table 1), and may influence the intensity of monitoring for clinical worsening. Imaging is not advised for patients with mild features who are COVID-19 positive without accompanying risk factors for disease progression, or for patients with mild features who are COVID-19 negative (Fig 1, Q2 & Q3). The panel felt that the yield of imaging in these settings would be very low and that it was safe for most patients to self-monitor for clinical worsening. Regardless of COVID-19 test results and risk factors, imaging is advised for patients with mild clinical features who subsequently develop clinical worsening (Fig 1, Q4 & Q5). In the absence of clinical worsening, management involves support and isolation of patients with positive COVID-19 testing or patients with moderate to high pre-test probability without COVID-19 test results available. Although not specifically addressed by this scenario, in the presence of significant resources constraints, there is no role for imaging of patients with mild features of COVID-19.

Scenario 2: Moderate to Severe Features of COVID-19

The second scenario (Fig 2) addresses a patient presenting with moderate-to-severe features consistent with COVID-19 infection, any pre-test probability of COVID-19 infection, and no significant critical resource constraints. Separate ratings were obtained for COVID-19 positive patients and either COVID-19 negative patients or patients for whom COVID-19 testing is unavailable (Fig 2, Q6 & Q7). Imaging is advised regardless of the results or availability of COVID-19 testing given the impact of imaging in both circumstances. For COVID-19 positive patients, imaging establishes baseline pulmonary status and identifies underlying cardiopulmonary abnormalities that may facilitate risk stratification for clinical worsening. In the presence of clinical worsening, imaging is again advised to assess for COVID-19 progression or secondary cardiopulmonary abnormalities such as pulmonary embolism, superimposed bacterial pneumonia, or heart failure that can potentially be secondary to COVID-19 myocardial injury (Fig 2, Q8). For COVID-19 negative patients or any patient for whom testing is not performed, imaging may reveal an alternative diagnosis to explain the patient’s clinical features, which should direct patient care as per existing clinical guidelines or standard clinical practice. If an alternative diagnosis is not revealed or images demonstrate features of COVID-19 infection, then subsequent clinical evaluation would depend upon the pre-test probability of COVID-19 infection and COVID-19 test availability. Falsely negative COVID-19 testing is more prevalent in high pre-test probability circumstances and repeat COVID-19 testing is therefore advised if available. Depending upon the imaging findings, other clinical investigations may be pursued.

Scenario 3: Moderate-to-Severe Features of COVID-19 in a Resource Constrained Environment

The third scenario (Fig 3) addresses a patient presenting with moderate-to-severe features consistent with COVID-19 infection within an environment of high community disease burden and critical resource limitations as seen in Wuhan, China, in regions of Italy and Spain, and in New York City. Because healthcare personnel and infrastructure may be overwhelmed by a high influx of new patients and resources are limited to provide critical care, urgent decision-making and triage are of primary importance. At the time of this writing, turnaround times for COVID-19 test results range from 6 to over 48 hours with most sites waiting at least 12 hours for results. This is an impractically long time period to consider triage to limited hospital beds and ventilators. However, rapid point-of-care (PoC) COVID-19 tests are expected to be released into clinical environments during the first week of April 2020, providing routine turnaround times of less than an hour and potentially as little as 5 minutes (24-27). While the initial availability and sample processing capacity of PoC COVID-19 testing is expected to be limited, this should increase over time. The third scenario first considers the potential availability of PoC COVID-19 testing. Imaging is advised when PoC COVID-19 testing is available and positive (Fig 3, Q9) for the same reasons as described for Scenario 2. Based upon imaging findings and clinical features, patients are subsequently supported and monitored with a level of intensity consistent with clinical features. Imaging is again indicated if patients subsequently clinically worsen (Fig 3, Q11). Imaging is advised to support more rapid triage of patients in a resource-constrained setting when PoC COVID-19 testing is not available or negative (Fig 3, Q10). Imaging may reveal features of COVID-19, which within this scenario may be taken as a presumptive diagnosis of COVID-19 for medical triage and associated decisions regarding disposition, infection control, and clinical management. In this high pre-test probability environment, and as described for Scenario 2, the possibility of falsely negative COVID-19 testing creates a circumstance where a COVID-19 diagnosis may be presumed when imaging findings are strongly suggestive of COVID-19 despite negative COVID-19 testing. This guidance represents a variance from other published recommendations which advise against the use of imaging for the initial diagnosis of COVID-19 (28) and was supported by direct experience amongst panelists providing care within the conditions described for this scenario. The relationship between disease severity and triage may need to be fluid depending upon resources and case load. When imaging reveals an alternative diagnosis to COVID-19, management is based upon established guidelines or standard clinical practice.

Additional Key Questions

Daily chest radiographs are not indicated in stable intubated patients with COVID-19 (Q12)

Multiple studies have shown no difference in important outcomes (mortality, length of stay, and ventilator days) for intensive care unit patients imaged on-demand as compared to a daily routine protocol (29-32). Avoidance of non-value-added imaging is particularly important in the COVID-19 patient population to minimize exposure risk of radiology technologists and to conserve PPE.

CT scan is indicated in a patient who has functional impairment and/or hypoxemia after recovery from COVID-19 (Q13)

With the recent emergence of SARS-CoV2 as a human pathogen, there are no long-term follow-up studies of survivors. Postmortem evaluation of a single patient who succumbed to severe COVID-19 showed pathologic findings consistent with diffuse alveolar damage, similar to findings previously described with severe acute respiratory syndrome (SARS) and Middle East respiratory syndrome (MERS) (33). Patients with functional impairment following recovery from COVID-19 should undergo imaging to differentiate between expected morphologic abnormalities as sequelae of infection, mechanical ventilation, or both versus a different and potentially treatable process.

COVID-19 testing is indicated in a patient who is found incidentally to have typical findings of COVID-19 on a CT scan. (Q14)

While CT findings of COVID-19 infection are nonspecific, their presence in an asymptomatic patient with no or mild respiratory symptoms is concerning in a setting of known community transmission, particularly if there is no better alternative diagnosis. Asymptomatic carriers of COVID-19 have been estimated to comprise 17.9% - 33.3% of all infected cases (34, 35). Asymptomatic infection with suggestive CT findings in the lung has been documented in screened cruise ship passengers (11). It is believed that the presence of undetected infected and mildly symptomatic or asymptomatic individuals may be contributing to the rapid geographic spread of SARS-CoV2 (9). RT-PCR testing in this scenario is important to potentially identify an occult infection and limit further transmission both within the community and in the environment where the patient is receiving medical care. In highly prevalent areas, an additional uncertainty is whether CT should be used as a screening tool either as a stand-alone or as an adjunct to RT-PCR to exclude occult infection prior to surgery or intensive immunosuppressive therapies. The panel’s ratings are provided in Figure 4, and a summary of all recommendations is provided in Table 2.
Table 2:

Summary of Recommendations for Imaging

Summary of Recommendations for Imaging

Additional Resources

For purposes of image interpretation and reporting, readers are referred to a recently published systematic review of imaging findings of COVID-19 (36) and a multi-society consensus paper on reporting chest CT findings related to COVID-19 (37). As an aid to improving radiologist and pulmonologist familiarity with the imaging findings of COVID-19, we provide the following link (https://www.fleischner-covid19.org) to the Fleischner Society website where an educational repository of proven COVID-19 cases can be found.

Conclusion

This statement is intended to offer guidance to physicians on the use of thoracic imaging across a breadth of healthcare environments. It represents the collective opinions and perspectives of thoracic radiology, pulmonology, intensive care, emergency medicine, laboratory medicine, and infection control experts practicing in 10 countries, representative of the highest burden of COVID-19 worldwide. It also represents opinion at a moment in time within a highly-dynamic environment where the status of regional epidemics and the availability of critical resources to combat those epidemics vary daily. The evidence base supporting the use of imaging across the scenarios presented is scant and the advice presented herein may undergo refinement through rigorous scientific investigation, exposing nuances of image interpretation that may lead to prognostic information and guide management decisions. At the time of this writing, no therapy has been confirmed to alter the course of COVID-19, there is no known cure, and there is no vaccine for prevention. As effective treatments are developed, thoracic imaging may find new roles by establishing treatment response or characterizing patients as likely responders to novel therapies.
  22 in total

1.  Comparison of routine and on-demand prescription of chest radiographs in mechanically ventilated adults: a multicentre, cluster-randomised, two-period crossover study.

Authors:  Gilles Hejblum; Ludivine Chalumeau-Lemoine; Vincent Ioos; Pierre-Yves Boëlle; Laurence Salomon; Tabassome Simon; Jean-François Vibert; Bertrand Guidet
Journal:  Lancet       Date:  2009-11-04       Impact factor: 79.321

2.  Radiological Society of North America Expert Consensus Statement on Reporting Chest CT Findings Related to COVID-19. Endorsed by the Society of Thoracic Radiology, the American College of Radiology, and RSNA - Secondary Publication.

Authors:  Scott Simpson; Fernando U Kay; Suhny Abbara; Sanjeev Bhalla; Jonathan H Chung; Michael Chung; Travis S Henry; Jeffrey P Kanne; Seth Kligerman; Jane P Ko; Harold Litt
Journal:  J Thorac Imaging       Date:  2020-07       Impact factor: 3.000

Review 3.  Is There a Role for Lung Ultrasound During the COVID-19 Pandemic?

Authors:  Gino Soldati; Andrea Smargiassi; Riccardo Inchingolo; Danilo Buonsenso; Tiziano Perrone; Domenica Federica Briganti; Stefano Perlini; Elena Torri; Alberto Mariani; Elisa Eleonora Mossolani; Francesco Tursi; Federico Mento; Libertario Demi
Journal:  J Ultrasound Med       Date:  2020-04-07       Impact factor: 2.153

4.  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

Review 5.  Coronavirus (COVID-19) Outbreak: What the Department of Radiology Should Know.

Authors:  Soheil Kooraki; Melina Hosseiny; Lee Myers; Ali Gholamrezanezhad
Journal:  J Am Coll Radiol       Date:  2020-02-19       Impact factor: 5.532

6.  Stability issues of RT-PCR testing of SARS-CoV-2 for hospitalized patients clinically diagnosed with COVID-19.

Authors:  Yafang Li; Lin Yao; Jiawei Li; Lei Chen; Yiyan Song; Zhifang Cai; Chunhua Yang
Journal:  J Med Virol       Date:  2020-04-05       Impact factor: 2.327

7.  Substantial undocumented infection facilitates the rapid dissemination of novel coronavirus (SARS-CoV-2).

Authors:  Ruiyun Li; Sen Pei; Bin Chen; Yimeng Song; Tao Zhang; Wan Yang; Jeffrey Shaman
Journal:  Science       Date:  2020-03-16       Impact factor: 47.728

8.  Pathological findings of COVID-19 associated with acute respiratory distress syndrome.

Authors:  Zhe Xu; Lei Shi; Yijin Wang; Jiyuan Zhang; Lei Huang; Chao Zhang; Shuhong Liu; Peng Zhao; Hongxia Liu; Li Zhu; Yanhong Tai; Changqing Bai; Tingting Gao; Jinwen Song; Peng Xia; Jinghui Dong; Jingmin Zhao; Fu-Sheng Wang
Journal:  Lancet Respir Med       Date:  2020-02-18       Impact factor: 30.700

Review 9.  Cardiovascular Considerations for Patients, Health Care Workers, and Health Systems During the COVID-19 Pandemic.

Authors:  Elissa Driggin; Mahesh V Madhavan; Behnood Bikdeli; Taylor Chuich; Justin Laracy; Giuseppe Biondi-Zoccai; Tyler S Brown; Caroline Der Nigoghossian; David A Zidar; Jennifer Haythe; Daniel Brodie; Joshua A Beckman; Ajay J Kirtane; Gregg W Stone; Harlan M Krumholz; Sahil A Parikh
Journal:  J Am Coll Cardiol       Date:  2020-03-19       Impact factor: 24.094

10.  Estimation of the asymptomatic ratio of novel coronavirus infections (COVID-19).

Authors:  Hiroshi Nishiura; Tetsuro Kobayashi; Takeshi Miyama; Ayako Suzuki; Sung-Mok Jung; Katsuma Hayashi; Ryo Kinoshita; Yichi Yang; Baoyin Yuan; Andrei R Akhmetzhanov; Natalie M Linton
Journal:  Int J Infect Dis       Date:  2020-03-14       Impact factor: 3.623

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1.  COVID-19 S: A new proposal for diagnosis and structured reporting of COVID-19 on computed tomography imaging.

Authors:  Naciye Sinem Gezer; Begüm Ergan; Mustafa Mahmut Barış; Özgür Appak; Ayça Arzu Sayıner; Pınar Balcı; Ziya Kuruüzüm; Sema Alp Çavuş; Oğuz Kılınç
Journal:  Diagn Interv Radiol       Date:  2020-07       Impact factor: 2.630

Review 2.  Radiological approach to COVID-19 pneumonia with an emphasis on chest CT.

Authors:  Serkan Güneyli; Zeynep Atçeken; Hakan Doğan; Emre Altınmakas; Kayhan Çetin Atasoy
Journal:  Diagn Interv Radiol       Date:  2020-07       Impact factor: 2.630

Review 3.  The role of chest computed tomography in the management of COVID-19: A review of results and recommendations.

Authors:  Molly D Wong; Theresa Thai; Yuhua Li; Hong Liu
Journal:  Exp Biol Med (Maywood)       Date:  2020-06-26

4.  Utility of chest CT in diagnosis of COVID-19 pneumonia.

Authors:  Ning Luo; Han Zhang; Yang Zhou; ZiXuan Kong; WeiHang Sun; Nan Huang; AoDan Zhang
Journal:  Diagn Interv Radiol       Date:  2020-09       Impact factor: 2.630

5.  Low-Dose Chest CT for the Diagnosis of COVID-19—A Systematic, Prospective Comparison With PCR

Authors:  Maximilian Schulze-Hagen; Christian Hübel; Michael Meier-Schroers; Can Yüksel; Anton Sander; Marwin Sähn; Michael Kleines; Peter Isfort; Christian Cornelissen; Sebastian Lemmen; Nikolaus Marx; Michael Dreher; Jörg Brokmann; Andreas Kopp; Christiane Kuhl
Journal:  Dtsch Arztebl Int       Date:  2020-06-01       Impact factor: 5.594

6.  The Role of CT in the Diagnosis of COVID-19-a State of Constant Flux.

Authors:  Hans-Ulrich Kauczor; Tobias Welte
Journal:  Dtsch Arztebl Int       Date:  2020-06-01       Impact factor: 5.594

7.  Targeted early chest CT in COVID-19 outbreaks as diagnostic tool for containment of the pandemic-A multinational opinion.

Authors:  Amel Amalou; Barış Türkbey; Tom Sanford; Stephanie Harmon; Evrim B Türkbey; Sheng Xu; Peng An; Gianpaolo Carrafiello; Maurizio Cariati; Francesca Patella; Hirofumi Obinata; Hitoshi Mori; Kaiyuan Sun; David J Spiro; Robert Suh; Hayet Amalou; Bradford J Wood
Journal:  Diagn Interv Radiol       Date:  2020-07       Impact factor: 2.630

8.  Chest imaging in patients with suspected COVID-19.

Authors:  Scott J Adams; Carole Dennie
Journal:  CMAJ       Date:  2020-05-22       Impact factor: 8.262

9.  Clinical and radiological characteristics of e-cigarette or vaping product use associated lung injury.

Authors:  Ambika G Chidambaram; Rebecca A Dennis; David M Biko; Marcus Hook; Julian Allen; Jordan B Rapp
Journal:  Emerg Radiol       Date:  2020-05-28

10.  Iteratively Pruned Deep Learning Ensembles for COVID-19 Detection in Chest X-rays.

Authors:  Sivaramakrishnan Rajaraman; Jen Siegelman; Philip O Alderson; Lucas S Folio; Les R Folio; Sameer K Antani
Journal:  IEEE Access       Date:  2020-06-19       Impact factor: 3.367

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