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Bailey GL, Copley SJ. CT features of acute COVID-19 and long-term follow-up. Clin Radiol 2024; 79:1-9. [PMID: 37867078 DOI: 10.1016/j.crad.2023.09.012] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2023] [Revised: 09/15/2023] [Accepted: 09/18/2023] [Indexed: 10/24/2023]
Abstract
Since the first few cases of pneumonia attributed to infection with the highly contagious novel coronavirus 2 (SARs-CoV-2) were detected in Wuhan, China, in December 2019, imaging has proven an invaluable diagnostic tool throughout the resulting global pandemic. This review describes the imaging features of severe pulmonary disease caused by SARs-CoV-2, named COVID-19 by the World Health Organization (WHO), particularly focussing on computed tomography (CT). CT plays an important role in understanding the pathology behind the progression of disease, as well as helping to identify the potential complications of COVID-19 pneumonia and recognising possible alternative or concurrent diagnoses. This review also focusses on follow-up imaging of survivors of COVID-19, which continues to contribute substantially to our understanding of the longer-term pulmonary changes in patients who have survived severe COVID-19 pneumonia.
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Affiliation(s)
- G L Bailey
- Radiology Department, Imperial College Healthcare NHS Trust, London, UK.
| | - S J Copley
- Radiology Department, Imperial College Healthcare NHS Trust, London, UK
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Cantarinha A, Bassil C, Savignac A, Devilder M, Maxwell F, Crézé M, Purcell YM, Bellin MF, Meyrignac O, Dillenseger JP. "Triple low" free-breathing CTPA protocol for patients with dyspnoea. Clin Radiol 2022; 77:e628-e635. [PMID: 35688771 DOI: 10.1016/j.crad.2022.05.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/14/2022] [Accepted: 05/09/2022] [Indexed: 11/03/2022]
Abstract
AIM To assess the performance of a "triple-low" free-breathing protocol for computed tomography pulmonary angiography (CTPA) evaluated on patients with dyspnoea and suspected pulmonary embolism and discuss its application in routine clinical practice for the study of the pulmonary parenchyma and vasculature. MATERIAL AND METHODS This study was conducted on a selected group of dyspnoeic patients referred for CTPA. The protocol was designed using fast free-breathing acquisition and a small, fixed volume (35 ml) of contrast agent in order to achieve a low-exposure dose. For each examination, radiodensity of the pulmonary trunk and ascending aorta, and the dose-length product (DLP) were recorded. A qualitative analysis was performed of pulmonary arterial enhancement and the pulmonary parenchyma. RESULTS This study included 134 patients. Contrast enhancement of the pulmonary arteries (409 ± 159 HU) was systematically >250 HU. The duration of acquisition ranged from 0.9 to 1.3 seconds for free-breathing imaging. The mean DLP was in the range of low-dose chest CT acquisitions (145 ± 73 mGy·cm). The analysis was deemed optimal in 90% (120/134) of cases for the pulmonary parenchyma. Sixty-nine per cent (92/134) of cases demonstrated homogeneous enhancement of the pulmonary arteries to the subsegmental level. Only 6% (8/134) of examinations were considered uninterpretable. CONCLUSION The present "triple-low" CTPA protocol allows convenient analysis of the pulmonary parenchyma and arteries without hindrance by respiratory motion artefacts in dyspnoeic patients.
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Affiliation(s)
- A Cantarinha
- Service de Radiologie Générale Adulte, Hôpital Bicêtre, Hôpitaux Universitaires Paris-Sud, Département Médico Universitaire Smart Imaging, Assistance Publique des Hôpitaux de Paris, Le Kremlin-Bicêtre, France
| | - C Bassil
- Service de Radiologie Générale Adulte, Hôpital Bicêtre, Hôpitaux Universitaires Paris-Sud, Département Médico Universitaire Smart Imaging, Assistance Publique des Hôpitaux de Paris, Le Kremlin-Bicêtre, France
| | - A Savignac
- Service de Radiologie Générale Adulte, Hôpital Bicêtre, Hôpitaux Universitaires Paris-Sud, Département Médico Universitaire Smart Imaging, Assistance Publique des Hôpitaux de Paris, Le Kremlin-Bicêtre, France
| | - M Devilder
- Service de Radiologie Générale Adulte, Hôpital Bicêtre, Hôpitaux Universitaires Paris-Sud, Département Médico Universitaire Smart Imaging, Assistance Publique des Hôpitaux de Paris, Le Kremlin-Bicêtre, France
| | - F Maxwell
- Service de Radiologie Générale Adulte, Hôpital Bicêtre, Hôpitaux Universitaires Paris-Sud, Département Médico Universitaire Smart Imaging, Assistance Publique des Hôpitaux de Paris, Le Kremlin-Bicêtre, France
| | - M Crézé
- Service de Radiologie Générale Adulte, Hôpital Bicêtre, Hôpitaux Universitaires Paris-Sud, Département Médico Universitaire Smart Imaging, Assistance Publique des Hôpitaux de Paris, Le Kremlin-Bicêtre, France; BioMaps, Université Paris-Saclay, Hôpital Kremlin-Bicêtre, Le Kremlin-Bicêtre, France
| | - Y M Purcell
- Hôpital Fondation Adolphe de Rothschild, Paris, France
| | - M-F Bellin
- Service de Radiologie Générale Adulte, Hôpital Bicêtre, Hôpitaux Universitaires Paris-Sud, Département Médico Universitaire Smart Imaging, Assistance Publique des Hôpitaux de Paris, Le Kremlin-Bicêtre, France; BioMaps, Université Paris-Saclay, Hôpital Kremlin-Bicêtre, Le Kremlin-Bicêtre, France
| | - O Meyrignac
- Service de Radiologie Générale Adulte, Hôpital Bicêtre, Hôpitaux Universitaires Paris-Sud, Département Médico Universitaire Smart Imaging, Assistance Publique des Hôpitaux de Paris, Le Kremlin-Bicêtre, France; BioMaps, Université Paris-Saclay, Hôpital Kremlin-Bicêtre, Le Kremlin-Bicêtre, France
| | - J-P Dillenseger
- Faculté de Médecine, Maïeutique, et Sciences de la Santé, Université de Strasbourg, Strasbourg, France; ICube-UMR 7357, CNRS, Université de Strasbourg, Strasbourg, France.
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Harris MA, Adamson HK, Foster B. Computed tomography during the COVID-19 pandemic: A survey of changes to service delivery, working practices and decision-making role of radiographers. J Med Imaging Radiat Sci 2021; 52:363-373. [PMID: 34049844 PMCID: PMC8106898 DOI: 10.1016/j.jmir.2021.04.006] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2020] [Revised: 04/18/2021] [Accepted: 04/28/2021] [Indexed: 02/06/2023]
Abstract
INTRODUCTION During the COVID-19 pandemic, Computed Tomography (CT) departments have established additional acute capacity whilst maintaining essential services. The purpose of this study was to investigate the changes in service delivery, working practices and decision-making role of diagnostic radiographers during the pandemic. METHODS We conducted an electronic cross-sectional survey of diagnostic radiographers working in CT during the COVID-19 pandemic. The survey was open for 6-weeks, with radiographers from all geographical regions encouraged to respond. The questionnaire explored social distancing, patient scheduling and departmental organisation; PPE usage; recognition and escalation of COVID-19 changes, patient management pathways and any training. Additionally, we sought the personal perspectives of radiographers through free text comments. RESULTS Following exclusions, 180 responses were analysed. Service delivery changes included social distancing (59.4%; n= 107), restriction of referrals to those considered time-critical (63.3%; n=114) and dedicated COVID-19 scanners (66.1%; n=119). Working practices were impacted by a need to implement PPE, although variation in PPE worn for different scenarios was seen. Half of the radiographers were routinely reviewing asymptomatic outpatient images for common COVID-19 signs, despite 63.5% of respondents not receiving formal training. Ad hoc patient pathways were in place in 90.5% of cases with 35% indicating that this was radiographer-led. CT staff had experienced anxiety, fatigue, and low morale, but praised teamwork. CONCLUSIONS Radiographers were able to reduce the risk of transmission through social distancing, designated scanners, and PPE. This study has demonstrated that despite variance in practice, radiographers play a key role in identifying and triaging high-risk patients.
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Affiliation(s)
- Martine A Harris
- Radiology Department, Mid Yorkshire Hospitals NHS Trust, Pinderfields Hospital, Aberford Road, Wakefield WF1 4DG, UK.
| | - Helen K Adamson
- School of Allied Health Professions and Midwifery, Faculty of Health Studies, University of Bradford, Richmond Road, Bradford BD7 1DP, UK
| | - Beverley Foster
- School of Allied Health Professions and Midwifery, Faculty of Health Studies, University of Bradford, Richmond Road, Bradford BD7 1DP, UK
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Pezzutti DL, Wadhwa V, Makary MS. COVID-19 imaging: Diagnostic approaches, challenges, and evolving advances. World J Radiol 2021. [DOI: 10.4329/wjr.v13.i6.172] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023] Open
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Pezzutti DL, Wadhwa V, Makary MS. COVID-19 imaging: Diagnostic approaches, challenges, and evolving advances. World J Radiol 2021; 13:171-191. [PMID: 34249238 PMCID: PMC8245752 DOI: 10.4329/wjr.v13.i6.171] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/07/2021] [Revised: 05/15/2021] [Accepted: 06/23/2021] [Indexed: 02/06/2023] Open
Abstract
The role of radiology and the radiologist have evolved throughout the coronavirus disease-2019 (COVID-19) pandemic. Early on, chest computed tomography was used for screening and diagnosis of COVID-19; however, it is now indicated for high-risk patients, those with severe disease, or in areas where polymerase chain reaction testing is sparsely available. Chest radiography is now utilized mainly for monitoring disease progression in hospitalized patients showing signs of worsening clinical status. Additionally, many challenges at the operational level have been overcome within the field of radiology throughout the COVID-19 pandemic. The use of teleradiology and virtual care clinics greatly enhanced our ability to socially distance and both are likely to remain important mediums for diagnostic imaging delivery and patient care. Opportunities to better utilize of imaging for detection of extrapulmonary manifestations and complications of COVID-19 disease will continue to arise as a more detailed understanding of the pathophysiology of the virus continues to be uncovered and identification of predisposing risk factors for complication development continue to be better understood. Furthermore, unidentified advancements in areas such as standardized imaging reporting, point-of-care ultrasound, and artificial intelligence offer exciting discovery pathways that will inevitably lead to improved care for patients with COVID-19.
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Affiliation(s)
- Dante L Pezzutti
- Department of Radiology, The Ohio State University Wexner Medical Center, Columbus, OH 43210, United States
| | - Vibhor Wadhwa
- Department of Radiology, Weill Cornell Medical Center, New York City, NY 10065, United States
| | - Mina S Makary
- Department of Radiology, The Ohio State University Wexner Medical Center, Columbus, OH 43210, United States
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Reddy R. Imaging diagnosis of bronchogenic carcinoma (the forgotten disease) during times of COVID-19 pandemic: Current and future perspectives. World J Clin Oncol 2021; 12:437-457. [PMID: 34189068 PMCID: PMC8223714 DOI: 10.5306/wjco.v12.i6.437] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/19/2021] [Revised: 04/07/2021] [Accepted: 06/02/2021] [Indexed: 02/06/2023] Open
Abstract
Patients with bronchogenic carcinoma comprise a high-risk group for coronavirus disease 2019 (COVID-19), pneumonia and related complications. Symptoms of COVID-19 related pulmonary syndrome may be similar to deteriorating symptoms encountered during bronchogenic carcinoma progression. These resemblances add further complexity for imaging assessment of bronchogenic carcinoma. Similarities between clinical and imaging findings can pose a major challenge to clinicians in distinguishing COVID-19 super-infection from evolving bronchogenic carcinoma, as the above-mentioned entities require very different therapeutic approaches. However, the goal of bronchogenic carcinoma management during the pandemic is to minimize the risk of exposing patients to COVID-19, whilst still managing all life-threatening events related to bronchogenic carcinoma. The current pandemic has forced all healthcare stakeholders to prioritize per value resources and reorganize therapeutic strategies for timely management of patients with COVID-19 related pulmonary syndrome. Processing of radiographic and computed tomography images by means of artificial intelligence techniques can facilitate triage of patients. Modified and newer therapeutic strategies for patients with bronchogenic carcinoma have been adopted by oncologists around the world for providing uncompromised care within the accepted standards and new guidelines.
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Affiliation(s)
- Ravikanth Reddy
- Department of Radiology, St. John's Hospital, Bengaluru 560034, Karnataka, India
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de Carvalho LS, da Silva Júnior RT, Oliveira BVS, de Miranda YS, Rebouças NLF, Loureiro MS, Pinheiro SLR, da Silva RS, Correia PVSLM, Silva MJS, Ribeiro SN, da Silva FAF, de Brito BB, Santos MLC, Leal RAOS, Oliveira MV, de Melo FF. Highlighting COVID-19: What the imaging exams show about the disease. World J Radiol 2021; 13:122-136. [PMID: 34141092 PMCID: PMC8188839 DOI: 10.4329/wjr.v13.i5.122] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/27/2021] [Revised: 03/16/2021] [Accepted: 05/07/2021] [Indexed: 02/06/2023] Open
Abstract
Coronavirus disease 2019 (COVID-19), a global emergency, is caused by severe acute respiratory syndrome coronavirus 2. The gold standard for its diagnosis is the reverse transcription polymerase chain reaction, but considering the high number of infected people, the low availability of this diagnostic tool in some contexts, and the limitations of the test, other tools that aid in the identification of the disease are necessary. In this scenario, imaging exams such as chest X-ray (CXR) and computed tomography (CT) have played important roles. CXR is useful for assessing disease progression because it allows the detection of extensive consolidations, besides being a fast and cheap method. On the other hand, CT is more sensitive for detecting lung changes in the early stages of the disease and is also useful for assessing disease progression. Of note, ground-glass opacities are the main COVID-19-related CT findings. Positron emission tomography combined with CT can be used to evaluate chronic and substantial damage to the lungs and other organs; however, it is an expensive test. Lung ultrasound (LUS) has been shown to be a promising technique in that context as well, being useful in the screening and monitoring of patients, disease classification, and management related to mechanical ventilation. Moreover, LUS is an inexpensive alternative available at the bedside. Finally, magnetic resonance imaging, although not usually requested, allows the detection of pulmonary, cardiovascular, and neurological abnormalities associated with COVID-19. Furthermore, it is important to consider the challenges faced in the radiology field in the adoption of control measures to prevent infection and in the follow-up of post-COVID-19 patients.
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Affiliation(s)
- Lorena Sousa de Carvalho
- Department of Instituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória da Conquista 45029-094, Bahia, Brazil
| | | | - Bruna Vieira Silva Oliveira
- Department of Instituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória da Conquista 45029-094, Bahia, Brazil
| | - Yasmin Silva de Miranda
- Department of Instituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória da Conquista 45029-094, Bahia, Brazil
| | - Nara Lúcia Fonseca Rebouças
- Department of Instituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória da Conquista 45029-094, Bahia, Brazil
| | - Matheus Sande Loureiro
- Department of Instituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória da Conquista 45029-094, Bahia, Brazil
| | - Samuel Luca Rocha Pinheiro
- Department of Instituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória da Conquista 45029-094, Bahia, Brazil
| | - Regiane Santos da Silva
- Department of Instituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória da Conquista 45029-094, Bahia, Brazil
| | | | - Maria José Souza Silva
- Department of Instituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória da Conquista 45029-094, Bahia, Brazil
| | - Sabrina Neves Ribeiro
- Department of Instituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória da Conquista 45029-094, Bahia, Brazil
| | - Filipe Antônio França da Silva
- Department of Instituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória da Conquista 45029-094, Bahia, Brazil
| | - Breno Bittencourt de Brito
- Department of Instituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória da Conquista 45029-094, Bahia, Brazil
| | - Maria Luísa Cordeiro Santos
- Department of Instituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória da Conquista 45029-094, Bahia, Brazil
| | | | - Márcio Vasconcelos Oliveira
- Department of Instituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória da Conquista 45029-094, Bahia, Brazil
| | - Fabrício Freire de Melo
- Department of Instituto Multidisciplinar em Saúde, Universidade Federal da Bahia, Vitória da Conquista 45029-094, Bahia, Brazil
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