1801
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Simpson S, Kay FU, Abbara S, Bhalla S, Chung JH, Chung M, Henry TS, Kanne JP, Kligerman S, Ko JP, Litt H. Radiological Society of North America Expert Consensus Document on Reporting Chest CT Findings Related to COVID-19: Endorsed by the Society of Thoracic Radiology, the American College of Radiology, and RSNA. Radiol Cardiothorac Imaging 2020; 2:e200152. [PMID: 33778571 PMCID: PMC7233447 DOI: 10.1148/ryct.2020200152] [Citation(s) in RCA: 364] [Impact Index Per Article: 91.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/23/2020] [Accepted: 03/25/2020] [Indexed: 12/15/2022]
Abstract
Routine screening CT for the identification of coronavirus disease 19 (COVID-19) pneumonia is currently not recommended by most radiology societies. However, the number of CT examinations performed in persons under investigation for COVID-19 has increased. We also anticipate that some patients will have incidentally detected findings that could be attributable to COVID-19 pneumonia, requiring radiologists to decide whether or not to mention COVID-19 specifically as a differential diagnostic possibility. We aim to provide guidance to radiologists in reporting CT findings potentially attributable to COVID-19 pneumonia, including standardized language to reduce reporting variability when addressing the possibility of COVID-19. When typical or indeterminate features of COVID-19 pneumonia are present in endemic areas as an incidental finding, we recommend contacting the referring providers to discuss the likelihood of viral infection. These incidental findings do not necessarily need to be reported as COVID-19 pneumonia. In this setting, using the term viral pneumonia can be a reasonable and inclusive alternative. However, if one opts to use the term COVID-19 in the incidental setting, consider the provided standardized reporting language. In addition, practice patterns may vary, and this document is meant to serve as a guide. Consultation with clinical colleagues at each institution is suggested to establish a consensus reporting approach. The goal of this expert consensus is to help radiologists recognize findings of COVID-19 pneumonia and aid their communication with other health care providers, assisting management of patients during this pandemic. Published under a CC BY 4.0 license.
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Affiliation(s)
| | | | - Suhny Abbara
- From the Department of Radiology, Perelman School of Medicine of the University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104 (S.S., H.L.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (F.U.K., S.A.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (S.B.); Department of Radiology, University of Chicago Medicine, Chicago, Ill (J.H.C.); Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY (M.C.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.S.H.); Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wis (J.P.K.); Department of Radiology, University of California San Diego, San Diego, Calif (S.K.); and Department of Radiology, New York University Langone Health, New York, NY (J.P.K.)
| | - Sanjeev Bhalla
- From the Department of Radiology, Perelman School of Medicine of the University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104 (S.S., H.L.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (F.U.K., S.A.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (S.B.); Department of Radiology, University of Chicago Medicine, Chicago, Ill (J.H.C.); Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY (M.C.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.S.H.); Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wis (J.P.K.); Department of Radiology, University of California San Diego, San Diego, Calif (S.K.); and Department of Radiology, New York University Langone Health, New York, NY (J.P.K.)
| | - Jonathan H. Chung
- From the Department of Radiology, Perelman School of Medicine of the University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104 (S.S., H.L.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (F.U.K., S.A.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (S.B.); Department of Radiology, University of Chicago Medicine, Chicago, Ill (J.H.C.); Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY (M.C.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.S.H.); Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wis (J.P.K.); Department of Radiology, University of California San Diego, San Diego, Calif (S.K.); and Department of Radiology, New York University Langone Health, New York, NY (J.P.K.)
| | - Michael Chung
- From the Department of Radiology, Perelman School of Medicine of the University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104 (S.S., H.L.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (F.U.K., S.A.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (S.B.); Department of Radiology, University of Chicago Medicine, Chicago, Ill (J.H.C.); Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY (M.C.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.S.H.); Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wis (J.P.K.); Department of Radiology, University of California San Diego, San Diego, Calif (S.K.); and Department of Radiology, New York University Langone Health, New York, NY (J.P.K.)
| | - Travis S. Henry
- From the Department of Radiology, Perelman School of Medicine of the University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104 (S.S., H.L.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (F.U.K., S.A.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (S.B.); Department of Radiology, University of Chicago Medicine, Chicago, Ill (J.H.C.); Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY (M.C.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.S.H.); Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wis (J.P.K.); Department of Radiology, University of California San Diego, San Diego, Calif (S.K.); and Department of Radiology, New York University Langone Health, New York, NY (J.P.K.)
| | - Jeffrey P. Kanne
- From the Department of Radiology, Perelman School of Medicine of the University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104 (S.S., H.L.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (F.U.K., S.A.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (S.B.); Department of Radiology, University of Chicago Medicine, Chicago, Ill (J.H.C.); Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY (M.C.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.S.H.); Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wis (J.P.K.); Department of Radiology, University of California San Diego, San Diego, Calif (S.K.); and Department of Radiology, New York University Langone Health, New York, NY (J.P.K.)
| | - Seth Kligerman
- From the Department of Radiology, Perelman School of Medicine of the University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104 (S.S., H.L.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (F.U.K., S.A.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (S.B.); Department of Radiology, University of Chicago Medicine, Chicago, Ill (J.H.C.); Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY (M.C.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.S.H.); Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wis (J.P.K.); Department of Radiology, University of California San Diego, San Diego, Calif (S.K.); and Department of Radiology, New York University Langone Health, New York, NY (J.P.K.)
| | - Jane P. Ko
- From the Department of Radiology, Perelman School of Medicine of the University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104 (S.S., H.L.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (F.U.K., S.A.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (S.B.); Department of Radiology, University of Chicago Medicine, Chicago, Ill (J.H.C.); Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY (M.C.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.S.H.); Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wis (J.P.K.); Department of Radiology, University of California San Diego, San Diego, Calif (S.K.); and Department of Radiology, New York University Langone Health, New York, NY (J.P.K.)
| | - Harold Litt
- From the Department of Radiology, Perelman School of Medicine of the University of Pennsylvania, 3400 Spruce St, Philadelphia, PA 19104 (S.S., H.L.); Department of Radiology, University of Texas Southwestern Medical Center, Dallas, Tex (F.U.K., S.A.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (S.B.); Department of Radiology, University of Chicago Medicine, Chicago, Ill (J.H.C.); Department of Diagnostic, Molecular and Interventional Radiology, Icahn School of Medicine at Mount Sinai, New York, NY (M.C.); Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, Calif (T.S.H.); Department of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wis (J.P.K.); Department of Radiology, University of California San Diego, San Diego, Calif (S.K.); and Department of Radiology, New York University Langone Health, New York, NY (J.P.K.)
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1802
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Sanei Taheri M, Falahati F, Radpour A, Karimi V, Sedaghat A, Karimi MA. Role of Social Media and Telemedicine in Diagnosis & Management of COVID-19; An Experience of the Iranian Society of Radiology. ARCHIVES OF IRANIAN MEDICINE 2020; 23:285-286. [PMID: 32271607 DOI: 10.34172/aim.2020.15] [Citation(s) in RCA: 12] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/21/2020] [Accepted: 03/22/2020] [Indexed: 01/19/2023]
Affiliation(s)
- Morteza Sanei Taheri
- Department of Radiology, Shohada-E-Tajrish Hospital, Shahid Beheshti University of Medical Sciences, Tehran, Iran
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1803
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Proposal of a low-dose, long-pitch, dual-source chest CT protocol on third-generation dual-source CT using a tin filter for spectral shaping at 100 kVp for CoronaVirus Disease 2019 (COVID-19) patients: a feasibility study. Radiol Med 2020; 125:365-373. [PMID: 32239472 PMCID: PMC7110986 DOI: 10.1007/s11547-020-01179-x] [Citation(s) in RCA: 89] [Impact Index Per Article: 22.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2020] [Accepted: 03/18/2020] [Indexed: 02/06/2023]
Abstract
Aim To subjectively and objectively evaluate the feasibility and diagnostic reliability of a low-dose, long-pitch dual-source chest CT protocol on third-generation dual-source CT (DSCT) with spectral shaping at 100Sn kVp for COVID-19 patients. Materials and methods Patients with COVID-19 and positive swab-test undergoing to a chest CT on third-generation DSCT were included. The imaging protocol included a dual-energy acquisition (HD-DECT, 90/150Sn kVp) and fast, low-dose, long-pitch CT, dual-source scan at 100Sn kVp (LDCT). Subjective (Likert Scales) and objective (signal-to-noise and contrast-to-noise ratios, SNR and CNR) analyses were performed; radiation dose and acquisition times were recorded. Nonparametric tests were used. Results The median radiation dose was lower for LDCT than HD-DECT (Effective dose, ED: 0.28 mSv vs. 3.28 mSv, p = 0.016). LDCT had median acquisition time of 0.62 s (vs 2.02 s, p = 0.016). SNR and CNR were significantly different in several thoracic structures between HD-DECT and LDCT, with exception of lung parenchyma. Qualitative analysis demonstrated significant reduction in motion artifacts (p = 0.031) with comparable diagnostic reliability between HD-DECT and LDCT. Conclusions Ultra-low-dose, dual-source, fast CT protocol provides highly diagnostic images for COVID-19 with potential for reduction in dose and motion artifacts.
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1804
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Huber K, Goldstein P. Covid-19: implications for prehospital, emergency and hospital care in patients with acute coronary syndromes. EUROPEAN HEART JOURNAL. ACUTE CARDIOVASCULAR CARE 2020; 9:222-228. [PMID: 32375487 PMCID: PMC7231902 DOI: 10.1177/2048872620923639] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/01/2020] [Accepted: 04/14/2020] [Indexed: 01/08/2023]
Abstract
Hospitals play a critical role in providing communities with essential medical care during all types of disaster. Depending on their scope and nature, disasters can lead to a rapidly increasing service demand that can overwhelm the functional capacity and safety of hospitals and the healthcare system at large. Planning during the community outbreak of coronavirus disease 2019 (Covid-19) is critical for maintaining healthcare services during our response. This paper describes, besides general measures in times of a pandemic, also the necessary changes in the invasive diagnosis and treatment of patients presenting with different entities of acute coronary syndromes including structural adaptations (networks, spokes and hub centres) and therapeutic adjustments.
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Affiliation(s)
- Kurt Huber
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3rd Department of Medicine, Cardiology and Intensive Care Medicine, Wilhelminenhospital, Austria
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Medical School, Sigmund Freud University, Austria
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1805
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Khodamoradi Z, Moghadami M, Lotfi M. Co-infection of Coronavirus Disease 2019 and Influenza A: A Report from Iran. ARCHIVES OF IRANIAN MEDICINE 2020; 23:239-243. [PMID: 32271596 DOI: 10.34172/aim.2020.04] [Citation(s) in RCA: 65] [Impact Index Per Article: 16.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Accepted: 03/21/2020] [Indexed: 12/23/2022]
Abstract
BACKGROUND In late December 2019, a viral pneumonia known as coronavirus disease 2019 (COVID-19) originated from China and spread very rapidly in the world. Since then, COVID-19 has become a global concern and health problem. METHODS We present four patients in this study, selected from among patients who presented with pneumonia symptoms and were suspicious for COVID-19. They were referred to the intended centers for COVID-19 diagnosis and management of Shiraz University of Medical Sciences in southern Iran. Two nasopharyngeal and oropharyngeal throat swab samples were collected from each patient and tested for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) using real-time reverse-transcriptase- polymerase-chain-reaction (RT-PCR). The samples were also tested for influenza viruses and the complete respiratory panel. RESULTS In the present report, four patients were diagnosed in the starting days of COVID-19 disease in our center in southern Iran with co-infection of SARS-CoV-2 and influenza A virus. CONCLUSION This co-infection of COVID-19 and influenza A highlights the importance of considering SARS-CoV-2 PCR assay regardless of other positive findings for other pathogens in the primary test during the epidemic.
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Affiliation(s)
- Zohre Khodamoradi
- Department of internal medicine, Namazee Hospital, Shiraz University of Medical Sciences, Shiraz, Iran.,Shiraz Geriatric Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Mohsen Moghadami
- Health Policy Research Center, Institute of Health, Shiraz University of Medical Sciences, Shiraz, Iran
| | - Mehrzad Lotfi
- Department of Radiology, Namazee Hospital, Shiraz University of Medical Sciences, Shiraz, Iran
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1806
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Dangis A, Gieraerts C, De Bruecker Y, Janssen L, Valgaeren H, Obbels D, Gillis M, Van Ranst M, Frans J, Demeyere A, Symons R. Accuracy and Reproducibility of Low-Dose Submillisievert Chest CT for the Diagnosis of COVID-19. Radiol Cardiothorac Imaging 2020; 2:e200196. [PMID: 33778576 PMCID: PMC7233439 DOI: 10.1148/ryct.2020200196] [Citation(s) in RCA: 80] [Impact Index Per Article: 20.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Accepted: 04/16/2020] [Indexed: 12/14/2022]
Abstract
PURPOSE To demonstrate the accuracy and reproducibility of low-dose submillisievert chest CT for the diagnosis of coronavirus disease 2019 (COVID-19) infection in patients in the emergency department. MATERIALS AND METHODS This was a Health Insurance Portability and Accountability Act-compliant, institutional review board-approved retrospective study. From March 14 to 24, 2020, 192 patients in the emergency department with symptoms suggestive of COVID-19 infection were studied by using low-dose chest CT and real-time reverse transcription polymerase chain reaction (RT-PCR). Image analysis included the likelihood of COVID-19 infection and the semiquantitative extent of lung involvement. CT images were analyzed by two radiologists blinded to the RT-PCR results. Reproducibility was assessed using the McNemar test and intraclass correlation coefficient. Time between CT acquisition and report was measured. RESULTS When compared with RT-PCR, low-dose submillisievert chest CT demonstrated excellent sensitivity, specificity, positive predictive value, negative predictive value, and accuracy for diagnosis of COVID-19 (86.7%, 93.6%, 91.1%, 90.3%, and 90.2%, respectively), in particular in patients with clinical symptoms for more than 48 hours (95.6%, 93.2%, 91.5%, 96.5%, and 94.4%, respectively). In patients with a positive CT result, the likelihood of disease increased from 43.2% (pretest probability) to 91.1% or 91.4% (posttest probability), while in patients with a negative CT result, the likelihood of disease decreased to 9.6% or 3.7% for all patients or those with clinical symptoms for >48 hours. The prevalence of alternative diagnoses based on chest CT in patients without COVID-19 infection was 17.6%. The mean effective radiation dose was 0.56 mSv ± 0.25 (standard deviation). Median time between CT acquisition and report was 25 minutes (interquartile range: 13-49 minutes). Intra- and interreader reproducibility of CT was excellent (all intraclass correlation coefficients ≥ 0.95) without significant bias in the Bland-Altman analysis. CONCLUSION Low-dose submillisievert chest CT allows for rapid, accurate, and reproducible assessment of COVID-19 infection in patients in the emergency department, in particular in patients with symptoms lasting longer than 48 hours. Chest CT has the additional advantage of offering alternative diagnoses in a significant subset of patients.© RSNA, 2020.
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Affiliation(s)
- Anthony Dangis
- From the Departments of Radiology (A. Dangis, C.G., Y.D.B., L.J., A. Demeyere, R.S.), Microbiology (H.V., D.O., J.F.), and Emergency Medicine (M.G.), Imelda Hospital, Imeldalaan 9, 2820 Bonheiden, Belgium; and Department of Microbiology, University Hospital Leuven, Leuven, Belgium (M.V.R.)
| | - Christopher Gieraerts
- From the Departments of Radiology (A. Dangis, C.G., Y.D.B., L.J., A. Demeyere, R.S.), Microbiology (H.V., D.O., J.F.), and Emergency Medicine (M.G.), Imelda Hospital, Imeldalaan 9, 2820 Bonheiden, Belgium; and Department of Microbiology, University Hospital Leuven, Leuven, Belgium (M.V.R.)
| | - Yves De Bruecker
- From the Departments of Radiology (A. Dangis, C.G., Y.D.B., L.J., A. Demeyere, R.S.), Microbiology (H.V., D.O., J.F.), and Emergency Medicine (M.G.), Imelda Hospital, Imeldalaan 9, 2820 Bonheiden, Belgium; and Department of Microbiology, University Hospital Leuven, Leuven, Belgium (M.V.R.)
| | - Lode Janssen
- From the Departments of Radiology (A. Dangis, C.G., Y.D.B., L.J., A. Demeyere, R.S.), Microbiology (H.V., D.O., J.F.), and Emergency Medicine (M.G.), Imelda Hospital, Imeldalaan 9, 2820 Bonheiden, Belgium; and Department of Microbiology, University Hospital Leuven, Leuven, Belgium (M.V.R.)
| | - Hanne Valgaeren
- From the Departments of Radiology (A. Dangis, C.G., Y.D.B., L.J., A. Demeyere, R.S.), Microbiology (H.V., D.O., J.F.), and Emergency Medicine (M.G.), Imelda Hospital, Imeldalaan 9, 2820 Bonheiden, Belgium; and Department of Microbiology, University Hospital Leuven, Leuven, Belgium (M.V.R.)
| | - Dagmar Obbels
- From the Departments of Radiology (A. Dangis, C.G., Y.D.B., L.J., A. Demeyere, R.S.), Microbiology (H.V., D.O., J.F.), and Emergency Medicine (M.G.), Imelda Hospital, Imeldalaan 9, 2820 Bonheiden, Belgium; and Department of Microbiology, University Hospital Leuven, Leuven, Belgium (M.V.R.)
| | - Marc Gillis
- From the Departments of Radiology (A. Dangis, C.G., Y.D.B., L.J., A. Demeyere, R.S.), Microbiology (H.V., D.O., J.F.), and Emergency Medicine (M.G.), Imelda Hospital, Imeldalaan 9, 2820 Bonheiden, Belgium; and Department of Microbiology, University Hospital Leuven, Leuven, Belgium (M.V.R.)
| | - Marc Van Ranst
- From the Departments of Radiology (A. Dangis, C.G., Y.D.B., L.J., A. Demeyere, R.S.), Microbiology (H.V., D.O., J.F.), and Emergency Medicine (M.G.), Imelda Hospital, Imeldalaan 9, 2820 Bonheiden, Belgium; and Department of Microbiology, University Hospital Leuven, Leuven, Belgium (M.V.R.)
| | - Johan Frans
- From the Departments of Radiology (A. Dangis, C.G., Y.D.B., L.J., A. Demeyere, R.S.), Microbiology (H.V., D.O., J.F.), and Emergency Medicine (M.G.), Imelda Hospital, Imeldalaan 9, 2820 Bonheiden, Belgium; and Department of Microbiology, University Hospital Leuven, Leuven, Belgium (M.V.R.)
| | - Annick Demeyere
- From the Departments of Radiology (A. Dangis, C.G., Y.D.B., L.J., A. Demeyere, R.S.), Microbiology (H.V., D.O., J.F.), and Emergency Medicine (M.G.), Imelda Hospital, Imeldalaan 9, 2820 Bonheiden, Belgium; and Department of Microbiology, University Hospital Leuven, Leuven, Belgium (M.V.R.)
| | - Rolf Symons
- From the Departments of Radiology (A. Dangis, C.G., Y.D.B., L.J., A. Demeyere, R.S.), Microbiology (H.V., D.O., J.F.), and Emergency Medicine (M.G.), Imelda Hospital, Imeldalaan 9, 2820 Bonheiden, Belgium; and Department of Microbiology, University Hospital Leuven, Leuven, Belgium (M.V.R.)
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1807
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Thomas A, Haljan G, Mitra A. Lung ultrasound findings in a 64-year-old woman with COVID-19. CMAJ 2020; 192:E399. [PMID: 32234724 DOI: 10.1503/cmaj.200414] [Citation(s) in RCA: 32] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/01/2023] Open
Affiliation(s)
- Adam Thomas
- Department of Critical Care Medicine (Thomas, Haljan, Mitra), University of British Columbia, Vancouver, BC; Island Health and Victoria General Emergency Department (Thomas), Victoria, BC; Department of Critical Care (Haljan, Mitra), Fraser Health, Surrey, BC
| | - Greg Haljan
- Department of Critical Care Medicine (Thomas, Haljan, Mitra), University of British Columbia, Vancouver, BC; Island Health and Victoria General Emergency Department (Thomas), Victoria, BC; Department of Critical Care (Haljan, Mitra), Fraser Health, Surrey, BC
| | - Anish Mitra
- Department of Critical Care Medicine (Thomas, Haljan, Mitra), University of British Columbia, Vancouver, BC; Island Health and Victoria General Emergency Department (Thomas), Victoria, BC; Department of Critical Care (Haljan, Mitra), Fraser Health, Surrey, BC
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1808
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Cordovilla R, Álvarez S, Llanos L, Nuñez Ares A, Cases Viedma E, Díaz-Pérez D, Flandes J. SEPAR and AEER consensus recommendations on the Use of Bronchoscopy and Airway Sampling in Patients with Suspected or Confirmed COVID-19 Infection. Arch Bronconeumol 2020. [PMID: 32362384 PMCID: PMC7193137 DOI: 10.1016/j.arbres.2020.03.017] [Citation(s) in RCA: 29] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
Este documento de consenso está elaborado por el área de Técnicas y Trasplante y el área de Enfermería de la Sociedad Española de Neumología y Cirugía Torácica, así como por la Asociación Española de Endoscopia Respiratoria, con el objetivo de proporcionar conocimientos para el uso efectivo y seguro de la broncoscopia en pacientes con sospecha o con confirmación de la infección por COVID-19. Es prioritario proporcionar la mayor seguridad a nuestros pacientes, a los sanitarios que los atienden y a la comunidad en general. En este momento de pandemia, la información de la que disponemos acerca del uso de la broncoscopia en este tipo de pacientes se basa en la experiencia de otros centros y países, y las publicaciones científicas son escasas. El objetivo de este documento es recoger esas experiencias y, en base a las recomendaciones de los organismos oficiales, ofrecer un documento de ayuda para la práctica clínica diaria.
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Affiliation(s)
- Rosa Cordovilla
- Servicio de Neumología, Unidad de Broncoscopias, Complejo Asistencial Universitario de Salamanca, Salamanca, España; Área de Técnicas y Trasplante de SEPAR; Asociación Española de Endoscopia Respiratoria y Neumología Intervencionista (AEER).
| | - Susana Álvarez
- Servicio de Neumología, Unidad de Broncoscopias, Hospital Universitario Fundación Jiménez Díaz IIS-FJD CIBERES, Madrid, España; Área de Enfermería Respiratoria de SEPAR; Asociación Española de Endoscopia Respiratoria y Neumología Intervencionista (AEER)
| | - Liliana Llanos
- Servicio de Neumología, Unidad de Broncoscopias, Hospital Universitario Nuestra Señora de la Candelaria, Santa Cruz de Tenerife, España; Área de Enfermería Respiratoria de SEPAR; Asociación Española de Endoscopia Respiratoria y Neumología Intervencionista (AEER)
| | - Ana Nuñez Ares
- Servicio de Neumología, Unidad de Broncoscopias, Complejo Hospitalario Universitario de Albacete, Albacete , España; Área de Técnicas y Trasplante de SEPAR; Asociación Española de Endoscopia Respiratoria y Neumología Intervencionista (AEER)
| | - Enrique Cases Viedma
- Servicio de Neumología, Unidad de Endoscopias, Hospital Universitario y Politécnico La Fe, Valencia, España; Área de Técnicas y Trasplante de SEPAR; Asociación Española de Endoscopia Respiratoria y Neumología Intervencionista (AEER)
| | - David Díaz-Pérez
- Servicio de Neumología, Unidad de Broncoscopias, Hospital Universitario Nuestra Señora de la Candelaria, Santa Cruz de Tenerife, España; Área de Enfermería Respiratoria de SEPAR
| | - Javier Flandes
- Servicio de Neumología, Unidad de Broncoscopias, Hospital Universitario Fundación Jiménez Díaz IIS-FJD CIBERES, Madrid, España; Área de Técnicas y Trasplante de SEPAR; Asociación Española de Endoscopia Respiratoria y Neumología Intervencionista (AEER)
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1809
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Orsi MA, Oliva AG, Cellina M. Radiology Department Preparedness for COVID-19: Facing an Unexpected Outbreak of the Disease. Radiology 2020; 295:E8. [PMID: 32228364 PMCID: PMC7233380 DOI: 10.1148/radiol.2020201214] [Citation(s) in RCA: 24] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/17/2022]
Affiliation(s)
- Marcello Alessandro Orsi
- Department of Radiology, ASST Fatebenefratelli Sacco, P.zza Principessa Clotilde 3, 20121 Milan, Italy
| | - Antonio Giancarlo Oliva
- Department of Radiology, ASST Fatebenefratelli Sacco, P.zza Principessa Clotilde 3, 20121 Milan, Italy
| | - Michaela Cellina
- Department of Radiology, ASST Fatebenefratelli Sacco, P.zza Principessa Clotilde 3, 20121 Milan, Italy
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1810
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Ait Addi R, Benksim A, Amine M, Cherkaoui M. Asymptomatic COVID-19 Infection Management: The Key to Stop COVID-19. JOURNAL OF CLINICAL AND EXPERIMENTAL INVESTIGATIONS 2020. [DOI: 10.5799/jcei/7866] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/13/2023] Open
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1811
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Diagnostic performance of chest CT to differentiate COVID-19 pneumonia in non-high-epidemic area in Japan. Jpn J Radiol 2020; 38:400-406. [PMID: 32232648 PMCID: PMC7105967 DOI: 10.1007/s11604-020-00958-w] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2020] [Accepted: 03/18/2020] [Indexed: 02/06/2023]
Abstract
Purpose To evaluate the diagnostic performance of chest CT to differentiate coronavirus disease 2019 (COVID-19) pneumonia in non-high-epidemic area in Japan. Materials and methods This retrospective study included 21 patients clinically suspected COVID-19 pneumonia and underwent chest CT more than 3 days after the symptom onset: six patients confirmed COVID-19 pneumonia by real-time reverse-transcription polymerase chain reaction (RT-PCR) and 15 patients proved uninfected. Using a Likert scale and its receiver operating characteristic curve analysis, two radiologists (R1/R2) evaluated the diagnostic performance of the five CT criteria: (1) ground glass opacity (GGO)-predominant lesions, (2) GGO- and peripheral-predominant lesions, (3) bilateral GGO-predominant lesions; (4) bilateral GGO- and peripheral-predominant lesions, and (5) bilateral GGO- and peripheral-predominant lesions without nodules, airway abnormalities, pleural effusion, and mediastinal lymphadenopathy. Results All patients confirmed COVID-19 pneumonia had bilateral GGO- and peripheral-predominant lesions without airway abnormalities, mediastinal lymphadenopathy, and pleural effusion. The five CT criteria showed moderate to excellent diagnostic performance with area under the curves (AUCs) ranging 0.77–0.88 for R1 and 0.78–0.92 for R2. The criterion (e) showed the highest AUC. Conclusion Chest CT would play a supplemental role to differentiate COVID-19 pneumonia from other respiratory diseases presenting with similar symptoms in a clinical setting. Electronic supplementary material The online version of this article (10.1007/s11604-020-00958-w) contains supplementary material, which is available to authorized users.
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1812
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向 颖, 杨 全, 孙 泓, 秦 幸, 李 晓, 张 秋. [Chest CT findings and their dynamic changes in patients with COVID-19]. NAN FANG YI KE DA XUE XUE BAO = JOURNAL OF SOUTHERN MEDICAL UNIVERSITY 2020; 40:327-332. [PMID: 32376589 PMCID: PMC7167320 DOI: 10.12122/j.issn.1673-4254.2020.03.05] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Subscribe] [Scholar Register] [Received: 03/06/2020] [Indexed: 12/24/2022]
Abstract
ObjectiveTo define chest CT findings and their dynamic changes in patients with coronavirus disease 2019 (COVID-19) from disease onset to the cure.MethodWe analyzed the clinical and chest CT data of 6 patients with RT-PCR-confirmed COVID-19. According to the time from the disease onset to the cure or from the onset to each CT scan, the total of 30 chest CT scans were divided into 4 stages, namely stage 1 (0-4 days), stage 2 (5-9 days), stage 3 (10-14 days), and stage 4 (over 14 days). A semi-quantitative scoring system was used to quantitatively assess the pulmonary involvement on the basis of the involved area. The differences in chest CT signs and the lung injury scores based on CT findings were compared among the 4 stages.ResultsIn stage 1, ground-glass opacities (GGO) was found frequently in the subpleura, and the CT score was the lowest at 4.00±0.40. Stage 2 was characterized by an increased and mixed density (crazy-paving pattern) with mild consolidation of the lungs, and the CT score reached its peak level of 7.38±3.34 (P < 0.05). In stage 3, an expanded range of consolidation and linear lesions were found in the lungs, and the total CT score averaged 6.86±2.91. In stage 4, a gradual resolution of the consolidation occurred with more linear lesions in the lungs, and the total CT score was 6.21±1.56. The CT scores of the lower lobes were significantly higher compared with those of the middle/upper lobes (P < 0.05) in stage 3 and stage 4.ConclusionChest CT scans allows dynamic monitoring of the changes in the distribution, density and extent of the pulmonary lesions in the 4 stages, which are closely correlated with the evolution of the disease course of COVID-19.
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Affiliation(s)
- 颖 向
- />西安交通大学第二附属医院医学影像科, 陕西 西安 710004Department of Radiology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - 全新 杨
- />西安交通大学第二附属医院医学影像科, 陕西 西安 710004Department of Radiology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - 泓泓 孙
- />西安交通大学第二附属医院医学影像科, 陕西 西安 710004Department of Radiology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - 幸茹 秦
- />西安交通大学第二附属医院医学影像科, 陕西 西安 710004Department of Radiology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - 晓会 李
- />西安交通大学第二附属医院医学影像科, 陕西 西安 710004Department of Radiology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
| | - 秋娟 张
- />西安交通大学第二附属医院医学影像科, 陕西 西安 710004Department of Radiology, Second Affiliated Hospital of Xi'an Jiaotong University, Xi'an 710004, China
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1813
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Novel Coronavirus Infection (COVID-19) in Humans: A Scoping Review and Meta-Analysis. J Clin Med 2020; 9:jcm9040941. [PMID: 32235486 PMCID: PMC7230636 DOI: 10.3390/jcm9040941] [Citation(s) in RCA: 306] [Impact Index Per Article: 76.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/05/2020] [Revised: 03/18/2020] [Accepted: 03/23/2020] [Indexed: 02/07/2023] Open
Abstract
A growing body of literature on the 2019 novel coronavirus (SARS-CoV-2) is becoming available, but a synthesis of available data has not been conducted. We performed a scoping review of currently available clinical, epidemiological, laboratory, and chest imaging data related to the SARS-CoV-2 infection. We searched MEDLINE, Cochrane CENTRAL, EMBASE, Scopus and LILACS from 01 January 2019 to 24 February 2020. Study selection, data extraction and risk of bias assessment were performed by two independent reviewers. Qualitative synthesis and meta-analysis were conducted using the clinical and laboratory data, and random-effects models were applied to estimate pooled results. A total of 61 studies were included (59,254 patients). The most common disease-related symptoms were fever (82%, 95% confidence interval (CI) 56%-99%; n = 4410), cough (61%, 95% CI 39%-81%; n = 3985), muscle aches and/or fatigue (36%, 95% CI 18%-55%; n = 3778), dyspnea (26%, 95% CI 12%-41%; n = 3700), headache in 12% (95% CI 4%-23%, n = 3598 patients), sore throat in 10% (95% CI 5%-17%, n = 1387) and gastrointestinal symptoms in 9% (95% CI 3%-17%, n = 1744). Laboratory findings were described in a lower number of patients and revealed lymphopenia (0.93 × 109/L, 95% CI 0.83-1.03 × 109/L, n = 464) and abnormal C-reactive protein (33.72 mg/dL, 95% CI 21.54-45.91 mg/dL; n = 1637). Radiological findings varied, but mostly described ground-glass opacities and consolidation. Data on treatment options were limited. All-cause mortality was 0.3% (95% CI 0.0%-1.0%; n = 53,631). Epidemiological studies showed that mortality was higher in males and elderly patients. The majority of reported clinical symptoms and laboratory findings related to SARS-CoV-2 infection are non-specific. Clinical suspicion, accompanied by a relevant epidemiological history, should be followed by early imaging and virological assay.
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1814
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Torkian P, Ramezani N, Kiani P, Bax MR, Akhlaghpoor S. Common CT Findings of Novel Coronavirus Disease 2019 (COVID-19): A Case Series. Cureus 2020; 12:e7434. [PMID: 32351814 PMCID: PMC7186102 DOI: 10.7759/cureus.7434] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2020] [Accepted: 03/27/2020] [Indexed: 11/05/2022] Open
Abstract
Given the highly infectious nature of the coronavirus disease 2019 (COVID-19) virus and the lack of proven specific therapeutic drugs and licensed vaccines effective against it, early diagnosis of the disease is of paramount importance. The common chest CT imaging of confirmed COVID-19 cases is discussed here, which shows ground-glass opacity, crazy paving, and consolidation.
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Affiliation(s)
- Pooya Torkian
- Radiology, Shahid Beheshti University of Medical Sciences, Tehran, IRN
| | | | - Pejman Kiani
- Neuroscience and Addiction Studies, School of Advanced Technologies in Medicine, Tehran University of Medical Sciences, Tehran, IRN
| | - Michael R Bax
- Biomedical Engineering, California Institute of Computer Assisted Surgery, Los Altos, USA
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1815
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Xue H, Jin Z. The appropriate position of radiology in COVID-19 diagnosis and treatment-current status and opinion from China. ACTA ACUST UNITED AC 2020; 3:1-3. [PMID: 32292879 PMCID: PMC7141599 DOI: 10.1007/s42058-020-00030-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
Affiliation(s)
- Huadan Xue
- Department of Radiology, Peking, Union Medical College Hospital, Shuaifuyuan 1#, Beijing, 100730 Dongcheng District China
| | - Zhengyu Jin
- Department of Radiology, Peking, Union Medical College Hospital, Shuaifuyuan 1#, Beijing, 100730 Dongcheng District China
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1816
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Coronavirus Disease (COVID-19): Spectrum of CT Findings and Temporal Progression of the Disease. Acad Radiol 2020. [PMID: 32204987 DOI: 10.1016/j.acra.2020.03.003.] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/23/2022]
Abstract
Coronavirus disease is an emerging infection caused by a novel coronavirus that is moving rapidly. High resolution computed tomography (CT) allows objective evaluation of the lung lesions, thus enabling us to better understand the pathogenesis of the disease. With serial CT examinations, the occurrence, development, and prognosis of the disease can be better understood. The imaging can be sorted into four phases: early phase, progressive phase, severe phase, and dissipative phase. The CT appearance of each phase and temporal progression of the imaging findings are demonstrated.
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1817
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Xing Y, Mo P, Xiao Y, Zhao O, Zhang Y, Wang F. Post-discharge surveillance and positive virus detection in two medical staff recovered from coronavirus disease 2019 (COVID-19), China, January to February 2020. ACTA ACUST UNITED AC 2020; 25. [PMID: 32183934 PMCID: PMC7078824 DOI: 10.2807/1560-7917.es.2020.25.10.2000191] [Citation(s) in RCA: 113] [Impact Index Per Article: 28.3] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023]
Abstract
Since December 2019, 62 medical staff of Zhongnan Hospital in Wuhan, China have been hospitalised with coronavirus disease 2019. During the post-discharge surveillance after clinical recovery, swabs were positive in two asymptomatic cases (3.23%). Case 1 had presented typical clinical and radiological manifestations on admission, while manifestation in Case 2 was very mild. In conclusion, a small proportion of recovered patients may test positive after discharge, and post-discharge surveillance and isolation need to be strengthened.
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Affiliation(s)
- Yuanyuan Xing
- These authors contributed equally to this study.,Cancer Precision Diagnosis and Treatment and Translational Medicine, Hubei Engineering Research Center, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Pingzheng Mo
- These authors contributed equally to this study.,Department of Infectious Diseases, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Yu Xiao
- These authors contributed equally to this study.,Cancer Precision Diagnosis and Treatment and Translational Medicine, Hubei Engineering Research Center, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Oiu Zhao
- Department of Gastroenterology, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Yongxi Zhang
- Department of Infectious Diseases, Zhongnan Hospital of Wuhan University, Wuhan, China
| | - Fan Wang
- Department of Gastroenterology, Zhongnan Hospital of Wuhan University, Wuhan, China
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1818
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Wang Y, Dong C, Hu Y, Li C, Ren Q, Zhang X, Shi H, Zhou M. Temporal Changes of CT Findings in 90 Patients with COVID-19 Pneumonia: A Longitudinal Study. Radiology 2020; 296:E55-E64. [PMID: 32191587 PMCID: PMC7233482 DOI: 10.1148/radiol.2020200843] [Citation(s) in RCA: 574] [Impact Index Per Article: 143.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Background CT may play a central role in the diagnosis and management of COVID-19 pneumonia. Purpose To perform a longitudinal study to analyze the serial CT findings over time in patients with COVID-19 pneumonia. Materials and Methods During January 16 to February 17, 2020, 90 patients (male:female, 33:57; mean age, 45 years) with COVID-19 pneumonia were prospectively enrolled and followed up until they were discharged or died, or until the end of the study. A total of 366 CT scans were acquired and reviewed by 2 groups of radiologists for the patterns and distribution of lung abnormalities, total CT scores and number of zones involved. Those features were analyzed for temporal change. Results CT scores and number of zones involved progressed rapidly, peaked during illness days 6-11 (median: 5 and 5), and followed by persistence of high levels. The predominant pattern of abnormalities after symptom onset was ground-glass opacity (35/78 [45%] to 49/79 [62%] in different periods). The percentage of mixed pattern peaked (30/78 [38%]) on illness days 12-17, and became the second most predominant pattern thereafter. Pure ground-glass opacity was the most prevalent sub-type of ground-glass opacity after symptom onset (20/50 [40%] to 20/28 [71%]). The percentage of ground-glass opacity with irregular linear opacity peaked on illness days 6-11 (14/50 [28%)]) and became the second most prevalent subtype thereafter. The distribution of lesions was predominantly bilateral and subpleural. 66/70 (94%) patients discharged had residual disease on final CT scans (median CT scores and zones involved: 4 and 4), with ground-glass opacity (42/70 [60%]) and pure ground-glass opacity (31/42 [74%]) the most common pattern and subtype. Conclusion The extent of lung abnormalities on CT peaked during illness days 6-11. The temporal changes of the diverse CT manifestations followed a specific pattern, which might indicate the progression and recovery of the illness.
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Affiliation(s)
- Yuhui Wang
- From the Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Ave, Wuhan, Hubei, China 430022 (Y.W., C.D., C.L., Q.R., X.Z., H.S., M.Z.); Hubei Province Key Laboratory of Molecular Imaging, Wuhan, Hubei, China (Y.W., C.D., C.L., Q.R., X.Z., H.S., M.Z.); and Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China (Y.H.)
| | - Chengjun Dong
- From the Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Ave, Wuhan, Hubei, China 430022 (Y.W., C.D., C.L., Q.R., X.Z., H.S., M.Z.); Hubei Province Key Laboratory of Molecular Imaging, Wuhan, Hubei, China (Y.W., C.D., C.L., Q.R., X.Z., H.S., M.Z.); and Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China (Y.H.)
| | - Yue Hu
- From the Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Ave, Wuhan, Hubei, China 430022 (Y.W., C.D., C.L., Q.R., X.Z., H.S., M.Z.); Hubei Province Key Laboratory of Molecular Imaging, Wuhan, Hubei, China (Y.W., C.D., C.L., Q.R., X.Z., H.S., M.Z.); and Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China (Y.H.)
| | - Chungao Li
- From the Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Ave, Wuhan, Hubei, China 430022 (Y.W., C.D., C.L., Q.R., X.Z., H.S., M.Z.); Hubei Province Key Laboratory of Molecular Imaging, Wuhan, Hubei, China (Y.W., C.D., C.L., Q.R., X.Z., H.S., M.Z.); and Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China (Y.H.)
| | - Qianqian Ren
- From the Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Ave, Wuhan, Hubei, China 430022 (Y.W., C.D., C.L., Q.R., X.Z., H.S., M.Z.); Hubei Province Key Laboratory of Molecular Imaging, Wuhan, Hubei, China (Y.W., C.D., C.L., Q.R., X.Z., H.S., M.Z.); and Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China (Y.H.)
| | - Xin Zhang
- From the Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Ave, Wuhan, Hubei, China 430022 (Y.W., C.D., C.L., Q.R., X.Z., H.S., M.Z.); Hubei Province Key Laboratory of Molecular Imaging, Wuhan, Hubei, China (Y.W., C.D., C.L., Q.R., X.Z., H.S., M.Z.); and Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China (Y.H.)
| | - Heshui Shi
- From the Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Ave, Wuhan, Hubei, China 430022 (Y.W., C.D., C.L., Q.R., X.Z., H.S., M.Z.); Hubei Province Key Laboratory of Molecular Imaging, Wuhan, Hubei, China (Y.W., C.D., C.L., Q.R., X.Z., H.S., M.Z.); and Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China (Y.H.)
| | - Min Zhou
- From the Department of Radiology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, 1277 Jiefang Ave, Wuhan, Hubei, China 430022 (Y.W., C.D., C.L., Q.R., X.Z., H.S., M.Z.); Hubei Province Key Laboratory of Molecular Imaging, Wuhan, Hubei, China (Y.W., C.D., C.L., Q.R., X.Z., H.S., M.Z.); and Cancer Center, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China (Y.H.)
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1819
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Lei P, Fan B, Mao J, Wang P. Multiple parameters required for diagnosis of COVID-19 in clinical practice. J Infect 2020; 80:e27-e28. [PMID: 32201156 PMCID: PMC7194939 DOI: 10.1016/j.jinf.2020.03.016] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Accepted: 03/14/2020] [Indexed: 12/17/2022]
Affiliation(s)
- Pinggui Lei
- Department of Radiology, the Affiliated Hospital of Guizhou Medical University, Guiyang 550004, China.
| | - Bing Fan
- Department of Radiology, Jiangxi Provincial People's Hospital, Nanchang 330006, China
| | - Jujiang Mao
- Department of Radiology, the Affiliated Hospital of Guizhou Medical University, Guiyang 550004, China
| | - Pingxian Wang
- Department of Medical Insurance, the Affiliated Hospital of Guizhou Medical University, Guiyang 550004, China
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1820
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Karako K, Song P, Chen Y, Tang W. Analysis of COVID-19 infection spread in Japan based on stochastic transition model. Biosci Trends 2020; 14:134-138. [PMID: 32188819 DOI: 10.5582/bst.2020.01482] [Citation(s) in RCA: 61] [Impact Index Per Article: 15.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/08/2023]
Abstract
To assess the effectiveness of response strategies of avoiding large gatherings or crowded areas and to predict the spread of COVID-19 infections in Japan, we developed a stochastic transmission model by extending the Susceptible-Infected-Removed (SIR) epidemiological model with an additional modeling of the individual action on whether to stay away from the crowded areas. The population were divided into three compartments: Susceptible, Infected, Removed. Susceptible transitions to Infected every hour with a probability determined by the ratio of Infected and the congestion of area. The total area consists of three zones crowded zone, mid zone and uncrowded zone, with different infection probabilities characterized by the number of people gathered there. The time for each people to spend in the crowded zone is curtailed by 0, 2, 4, 6, 7, and 8 hours, and the time spent in mid zone is extended accordingly. This simulation showed that the number of Infected and Removed will increase rapidly if there is no reduction of the time spent in crowded zone. On the other hand, the stagnant growth of Infected can be observed when the time spent in the crowded zone is reduced to 4 hours, and the growth number of Infected will decrease and the spread of the infection will subside gradually if the time spent in the crowded zone is further cut to 2 hours. In conclusions The infection spread in Japan will be gradually contained by reducing the time spent in the crowded zone to less than 4 hours.
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Affiliation(s)
- Kenji Karako
- Department of Human and Engineered Environmental Studies, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan
| | - Peipei Song
- Institute for Global Health Policy Research, Bureau of International Health Cooperation, National Center for Global Health and Medicine, Tokyo, Japan
| | - Yu Chen
- Department of Human and Engineered Environmental Studies, Graduate School of Frontier Sciences, The University of Tokyo, Chiba, Japan
| | - Wei Tang
- International Health Care Center, National Center for Global Health and Medicine, Tokyo, Japan
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1821
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Joob B, Wiwanitkit V. Computed Tomographic Findings in COVID-19. Korean J Radiol 2020; 21:620-622. [PMID: 32174056 PMCID: PMC7183838 DOI: 10.3348/kjr.2020.0164] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Accepted: 02/25/2020] [Indexed: 01/22/2023] Open
Affiliation(s)
- Beuy Joob
- Sanitation 1 Medical Academic Center, Bangkok, Thailand
| | - Viroj Wiwanitkit
- Department of Community Medicine, Dr DY Patil, Pune, India.,Department of Tropical Medicine, Hainan Medical University, Haikou, China.
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1822
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Hao W, Li M. Clinical diagnostic value of CT imaging in COVID-19 with multiple negative RT-PCR testing. Travel Med Infect Dis 2020; 34:101627. [PMID: 32179123 PMCID: PMC7156239 DOI: 10.1016/j.tmaid.2020.101627] [Citation(s) in RCA: 40] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2020] [Revised: 03/10/2020] [Accepted: 03/12/2020] [Indexed: 10/27/2022]
Affiliation(s)
- Wendong Hao
- Department of Respiratory Medicine, The Affiliated Hospital of Yan'an University, Yan'an, 716099, Shaanxi, People's Republic of China; Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi province, People's Republic of China.
| | - Manxiang Li
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, 710061, Shaanxi province, People's Republic of China
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1823
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1824
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Qu J, Yang R, Song L, Kamel IR. Atypical lung feature on chest CT in a lung adenocarcinoma cancer patient infected with COVID-19. Ann Oncol 2020; 31:825-826. [PMID: 32165205 PMCID: PMC7126344 DOI: 10.1016/j.annonc.2020.03.001] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2020] [Accepted: 03/04/2020] [Indexed: 12/29/2022] Open
Affiliation(s)
- J Qu
- Department of Radiology, the Affiliated Cancer Hospital of Zhengzhou University & Henan Cancer Hospital, Zhengzhou, Henan, China.
| | - R Yang
- Department of Medical Imaging, Henan Chest Hospital, Zhengzhou, Henan, China
| | - L Song
- Department of Radiology, the Sixth People Hospital of Zhengzhou, Zhengzhou, Henan, China
| | - I R Kamel
- Department of Radiology, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA
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1825
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Affiliation(s)
- Wenjie Yang
- Department of Radiology, Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital, No. 197 Ruijin Er Road, Shanghai 200025, China
| | - Fuhua Yan
- Department of Radiology, Shanghai Jiao Tong University Medical School Affiliated Ruijin Hospital, No. 197 Ruijin Er Road, Shanghai 200025, China
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1826
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Al-Tawfiq JA, Memish ZA. Diagnosis of SARS-CoV-2 infection based on CT scan vs RT-PCR: reflecting on experience from MERS-CoV. J Hosp Infect 2020; 105:154-155. [PMID: 32147407 PMCID: PMC7124270 DOI: 10.1016/j.jhin.2020.03.001] [Citation(s) in RCA: 60] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/01/2020] [Accepted: 03/02/2020] [Indexed: 01/19/2023]
Affiliation(s)
- J A Al-Tawfiq
- Infectious Disease Unit, Specialty Internal Medicine, Johns Hopkins Aramco Healthcare, Dhahran, Saudi Arabia; Department of Medicine, Indiana University School of Medicine, Indianapolis, IN, USA; Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
| | - Z A Memish
- Research Centre, King Saud Medical City, Ministry of Health, Riyadh, Saudi Arabia; Al-Faisal University, Riyadh, Saudi Arabia; Hubert Department of Global Health, Rollins School of Public Health, Emory University, Atlanta, GA, USA
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1827
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Rello J, Tejada S, Userovici C, Arvaniti K, Pugin J, Waterer G. Coronavirus Disease 2019 (COVID-19): A critical care perspective beyond China. Anaesth Crit Care Pain Med 2020; 39:167-169. [PMID: 32142972 PMCID: PMC7129309 DOI: 10.1016/j.accpm.2020.03.001] [Citation(s) in RCA: 31] [Impact Index Per Article: 7.8] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Affiliation(s)
- Jordi Rello
- Centro de Investigación Biomedica en Red de Enfermedades Respiratorias (CIBERES), Instituto Salud Carlos III, Madrid, Spain; Clinical Research/Epidemiology in Pneumonia and Sepsis (CRIPS), Vall d'Hebron Institut of Research (VHIR), Barcelona, Spain; Anaesthesiology and Critical Care Division, CHU Nîmes, University Montpellier-Nîmes, Nîmes, France.
| | - Sofia Tejada
- Centro de Investigación Biomedica en Red de Enfermedades Respiratorias (CIBERES), Instituto Salud Carlos III, Madrid, Spain; Clinical Research/Epidemiology in Pneumonia and Sepsis (CRIPS), Vall d'Hebron Institut of Research (VHIR), Barcelona, Spain
| | - Caroline Userovici
- Département Anesthésie Réanimation, Hôpital Pitié-Salpêtrière, Paris, France; Junior Group of the French Society of Anaesthesia and Intensive Care Medicine (SFAR), Paris, France
| | - Kostoula Arvaniti
- Critical Care Department, General Hospital Papageorgiou, Thessaloniki, Greece
| | - Jérôme Pugin
- Division of Intensive Care, University Hospitals of Geneva, Geneva, Switzerland
| | - Grant Waterer
- School of Medicine, University of Western Australia, Perth, Australia
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1828
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Kanne JP, Little BP, Chung JH, Elicker BM, Ketai LH. Essentials for Radiologists on COVID-19: An Update- Radiology Scientific Expert Panel. Radiology 2020; 296:E113-E114. [PMID: 32105562 PMCID: PMC7233379 DOI: 10.1148/radiol.2020200527] [Citation(s) in RCA: 415] [Impact Index Per Article: 103.8] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/23/2022]
Affiliation(s)
- Jeffrey P Kanne
- From the Department of Radiology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, MC 3252, Madison, WI 53792-3252 (J.P.K.); Department of Radiology, Massachusetts General Hospital, Boston, Mass (B.P.L.); Department of Radiology, University of Chicago, Chicago, Ill (J.H.C.); Department of Radiology, University of California San Francisco, San Francisco, Calif (B.M.E.); and Department of Radiology, University of New Mexico, Albuquerque, NM (L.H.K.)
| | - Brent P Little
- From the Department of Radiology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, MC 3252, Madison, WI 53792-3252 (J.P.K.); Department of Radiology, Massachusetts General Hospital, Boston, Mass (B.P.L.); Department of Radiology, University of Chicago, Chicago, Ill (J.H.C.); Department of Radiology, University of California San Francisco, San Francisco, Calif (B.M.E.); and Department of Radiology, University of New Mexico, Albuquerque, NM (L.H.K.)
| | - Jonathan H Chung
- From the Department of Radiology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, MC 3252, Madison, WI 53792-3252 (J.P.K.); Department of Radiology, Massachusetts General Hospital, Boston, Mass (B.P.L.); Department of Radiology, University of Chicago, Chicago, Ill (J.H.C.); Department of Radiology, University of California San Francisco, San Francisco, Calif (B.M.E.); and Department of Radiology, University of New Mexico, Albuquerque, NM (L.H.K.)
| | - Brett M Elicker
- From the Department of Radiology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, MC 3252, Madison, WI 53792-3252 (J.P.K.); Department of Radiology, Massachusetts General Hospital, Boston, Mass (B.P.L.); Department of Radiology, University of Chicago, Chicago, Ill (J.H.C.); Department of Radiology, University of California San Francisco, San Francisco, Calif (B.M.E.); and Department of Radiology, University of New Mexico, Albuquerque, NM (L.H.K.)
| | - Loren H Ketai
- From the Department of Radiology, University of Wisconsin School of Medicine and Public Health, 600 Highland Ave, MC 3252, Madison, WI 53792-3252 (J.P.K.); Department of Radiology, Massachusetts General Hospital, Boston, Mass (B.P.L.); Department of Radiology, University of Chicago, Chicago, Ill (J.H.C.); Department of Radiology, University of California San Francisco, San Francisco, Calif (B.M.E.); and Department of Radiology, University of New Mexico, Albuquerque, NM (L.H.K.)
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1829
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1830
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Dawoud MM, Dawoud TM, Ali NYA, Nagy HA. Chest CT in COVID-19 pneumonia: a correlation of lung abnormalities with duration and severity of symptoms. THE EGYPTIAN JOURNAL OF RADIOLOGY AND NUCLEAR MEDICINE 2020; 51:246. [PMCID: PMC7705405 DOI: 10.1186/s43055-020-00359-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/21/2023] Open
Abstract
Background After the spread of COVID-19 pneumonia, chest CT examination was used as a substantial non-invasive complement to RT-PCR for diagnosing and as a rapid screening tool when RT-PCR results are unavailable. Our study aimed at the analysis of the lung abnormalities detected by chest CT in COVID-19 pneumonia according to the severity and duration of symptoms. Results In the early phase (n = 60), 32 patients had negative CT findings and 28 patients had positive findings with a mean total lung severity score of 2.13. In the intermediate phase (n = 116), 4 patients had negative CT findings and 112 patients had positive findings with a mean total lung severity score of 16.08. In the late phase (n = 36), all patients had positive findings with a mean total lung severity score of 17.83. CT lung abnormalities were progressed on follow-up CT studies. We found a high total lung severity score in many patients with mild symptoms with a mean of 14.77 and a low total lung severity score in many patients with moderate to severe symptoms with a mean of 9.14. Conclusion Chest CT should be used as a routine examination for diagnosing COVID-19 pneumonia and follow-up of disease advance. The progression of lung abnormalities was related to the duration more than the severity of symptoms.
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Affiliation(s)
- Mohammed Mahmoud Dawoud
- Radiodiagnosis & Medical Imagining, Faculty of Medicine, Tanta University, El-geish Street, Tanta, Gharbya Governorate Egypt
| | - Tamer Mahmoud Dawoud
- Radiodiagnosis & Medical Imagining, Faculty of Medicine, Tanta University, El-geish street, Tanta, Gharbya Governorate Egypt
| | - Noha Yousef Amin Ali
- Clinical pathology, Faculty of Medicine, Tanta University, El-geish street, Tanta, Gharbya Governorate Egypt
| | - Hanan Ahmad Nagy
- Radiodiagnosis and Medical Imaging, Faculty of Medicine, Tanta University, El-geish Street, Tanta, Gharbia governorate Egypt
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1831
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Heng XMD, Yao ZMD, Ligang CMD, Jing HMD. Lung Ultrasonography in Diagnosis and Management of Novel Coronavirus (COVID-19) Pneumonia: Pearls and Pitfalls. ADVANCED ULTRASOUND IN DIAGNOSIS AND THERAPY 2020. [DOI: 10.37015/audt.2020.200030] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
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1832
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Li WJ, Lv ZM, Lv FJ, Fu B, Hu LB, Chu ZG. CT features and outcomes of newly developed pulmonary lesions in patients with Coronavirus Disease 2019 (COVID-19). Int J Med Sci 2020; 17:2373-2378. [PMID: 32922203 PMCID: PMC7484640 DOI: 10.7150/ijms.47587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/29/2020] [Accepted: 08/15/2020] [Indexed: 12/15/2022] Open
Abstract
Background: In patients with coronavirus disease 2019 (COVID-19) pneumonia, whether new pulmonary lesions will continue to develop after treatment was unknown. This study aimed to determine whether new pulmonary lesions will develop after treatment in patients with COVID-19 pneumonia, and investigate their CT features and outcomes. Methods: This retrospective study included 56 consecutive patients with confirmed COVID-19 pneumonia from January 20 to March 5, 2020. Their initial and follow-up CT images and clinical data were reviewed. The CT manifestations of primary and newly developed pulmonary lesions and their changes after treatment were mainly evaluated. Results: Among the 56 patients (mean age: 48±15 years, 35 men) with COVID-19 pneumonia, 42 (75.0%) patients developed new pulmonary lesions during treatment. All new lesions developed before the nucleic acid test turned negative. Patients with new lesions were more likely to have lymphopenia (P=0.041) or increased C-reactive protein (CRP) levels (P<0.001) than those without new lesions. Of the 42 patients, 30 (71.4%) patients developed new lesions once, and 12 (28.6%) twice or thrice, which usually appeared when primary lesions were progressing (37, 88.1%) and 1-15 days after treatment. The newly developed lesions were usually multiple (38, 90.5%), distributed in the previously involved (39, 92.9%) or uninvolved (27, 64.3%) lobes, and manifested as ground-glass opacities (GGOs) with consolidation (23, 54.8%) or pure GGOs (19, 45.2%). After their occurrence, the new lesions in most patients (32, 76.2%) showed direct absorption, whereas those in some patients (10, 23.8%) progressed before absorption. Conclusion: During treatment, most patients with COVID-19 pneumonia will develop new pulmonary lesions, which usually manifest as multiple GGOs distributed around the primary lesions or in previously uninvolved lobes, and are subsequently absorbed directly.
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Affiliation(s)
- Wang Jia Li
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China, 40016
| | - Zhuo Ma Lv
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China, 40016
| | - Fa Jin Lv
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China, 40016
| | - BinJie Fu
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China, 40016
| | - Liang Bo Hu
- Department of Radiology, Yongchuan Hospital of Chongqing Medical University, Chongqing, China, 40016
| | - Zhi Gang Chu
- Department of Radiology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China, 40016
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1833
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Zhou Y, Pei F, Ji M, Wang L, Zhao H, Li H, Yang W, Wang Q, Zhao Q, Wang Y. Sensitivity evaluation of 2019 novel coronavirus (SARS-CoV-2) RT-PCR detection kits and strategy to reduce false negative. PLoS One 2020. [PMID: 33206690 DOI: 10.1101/2020.04.28.20083956] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/02/2023] Open
Abstract
The early detection and differential diagnosis of respiratory infections increase the chances for successful control of COVID-19 disease. The nucleic acid RT-PCR test is regarded as the current standard for molecular diagnosis. However, the maximal specificity confirmation target ORF1ab gene is considered to be less sensitive than other targets in clinical application. In addition, recent evidence indicated that the initial missed diagnosis of asymptomatic patients with SARS-CoV-2 and discharged patients with "re-examination positive" might be due to low viral load, and the ability of rapid mutation of SARS-CoV-2 also increases the rate of false-negative results. Moreover, the mixed sample nucleic acid detection is helpful in seeking out the early community transmission of SARS-CoV-2 rapidly, but the detection kit needs ultra-high detection sensitivity. Herein, the lowest detection concentration of different nucleic acid detection kits was evaluated and compared to provide direct evidence for the selection of kits for mixed sample detection or make recommendations for the selection of validation kit, which is of great significance for the prevention and control of the current epidemic and the discharge criteria of low viral load patients.
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Affiliation(s)
- Yunying Zhou
- Medical Research & Laboratory Diagnostic Center, Jinan Central Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Microbiology Department, Jinan Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Research Center of Basic Medicine, Jinan Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Fengyan Pei
- Medical Research & Laboratory Diagnostic Center, Jinan Central Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Microbiology Department, Jinan Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Mingyu Ji
- Medical Research & Laboratory Diagnostic Center, Jinan Central Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Microbiology Department, Jinan Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Li Wang
- Jinan Infectious Disease Hospital, Shandong University, Jinan, Shandong, China
| | - Huailong Zhao
- Jinan Center for Disease Control and Prevention, Jinan, Shandong, China
| | - Huanjie Li
- Medical Research & Laboratory Diagnostic Center, Jinan Central Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
| | - Weihua Yang
- Medical Research & Laboratory Diagnostic Center, Jinan Central Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Microbiology Department, Jinan Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Qingxi Wang
- Medical Research & Laboratory Diagnostic Center, Jinan Central Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Microbiology Department, Jinan Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Qianqian Zhao
- Medical Research & Laboratory Diagnostic Center, Jinan Central Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Microbiology Department, Jinan Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
| | - Yunshan Wang
- Medical Research & Laboratory Diagnostic Center, Jinan Central Hospital, Cheeloo College of Medicine, Shandong University, Jinan, Shandong, China
- Microbiology Department, Jinan Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
- Research Center of Basic Medicine, Jinan Central Hospital Affiliated to Shandong First Medical University, Jinan, Shandong, China
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1834
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Chen Y, Peng H, Wang L, Zhao Y, Zeng L, Gao H, Liu Y. Infants Born to Mothers With a New Coronavirus (COVID-19). Front Pediatr 2020; 8:104. [PMID: 32266184 PMCID: PMC7098456 DOI: 10.3389/fped.2020.00104] [Citation(s) in RCA: 227] [Impact Index Per Article: 56.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/13/2020] [Accepted: 02/28/2020] [Indexed: 12/11/2022] Open
Abstract
A novel viral respiratory disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), is responsible for an epidemic of the coronavirus disease 2019 (COVID-19) in cases in China and worldwide. Four full-term, singleton infants were born to pregnant women who tested positive for COVID-19 in the city of Wuhan, the capital of Hubei province, China, where the disease was first identified. Of the three infants, for who consent to be diagnostically tested was provided, none tested positive for the virus. None of the infants developed serious clinical symptoms such as fever, cough, diarrhea, or abnormal radiologic or hematologic evidence, and all four infants were alive at the time of hospital discharge. Two infants had rashes of unknown etiology at birth, and one had facial ulcerations. One infant had tachypnea and was supported by non-invasive mechanical ventilation for 3 days. One had rashes at birth but was discharged without parental consent for a diagnostic test. This case report describes the clinical course of four live born infants, born to pregnant women with the COVID-19 infection.
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Affiliation(s)
- Yan Chen
- Department of Pediatric, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hua Peng
- Department of Pediatric, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lin Wang
- Department of Pediatric, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yin Zhao
- Department of Obstetrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Lingkong Zeng
- Department of Neonatal, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Hui Gao
- Department of Obstetrics, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yalan Liu
- Department of Pediatric, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
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1835
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Abstract
The effect of coronavirus disease 2019 (COVID-19) on liver transplantation programmes and recipients is still not completely understood but overall involves the risk of donor-derived transmission, the reliability of diagnostic tests, health-care resource utilization and the effect of immunosuppression. This Comment reviews the effect of COVID-19 on liver transplantation and summarizes recommendations for donor and recipient management.
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Affiliation(s)
- Tommaso Di Maira
- grid.476458.cHepatology & Liver Transplant Unit, La Fe University Hospital and Ciberehd, IIS La Fe, Valencia, Spain
| | - Marina Berenguer
- grid.5338.d0000 0001 2173 938XHepatology & Liver Transplant Unit, La Fe University Hospital and Ciberehd, IIS La Fe, Universidad de Valencia, Valencia, Spain
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1836
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Singh S. Accepting donors for heart transplant in the shadow of COVID-19. JOURNAL OF THE PRACTICE OF CARDIOVASCULAR SCIENCES 2020. [DOI: 10.4103/jpcs.jpcs_50_20] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2022] Open
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1837
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Sadeqi Nezhad M, Seif F, Alavi Darazam I, Samei A, Kamali M, Aazami H, Mohsenzadegan M, Mollaei-Kandelousi Y, Babaheidarian P, Khoshmirsafa M, Fateh M. An overview of the prominence of current diagnostic methods for diagnosis of COVID-19. AIMS ALLERGY AND IMMUNOLOGY 2020. [DOI: 10.3934/allergy.2020006] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/13/2022] Open
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1838
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Zeng Q, Tang C, Deng L, Li S, Liu J, Wang S, Shan H. Differential Diagnosis of COVID-19 Pneumonia in Cancer Patients Received Radiotherapy. Int J Med Sci 2020; 17:2561-2569. [PMID: 33029098 PMCID: PMC7532480 DOI: 10.7150/ijms.46133] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/15/2020] [Accepted: 08/31/2020] [Indexed: 12/22/2022] Open
Abstract
Background: During the outbreak period of COVID-19 pneumonia, cancer patients have been neglected and in greater danger. Furthermore, the differential diagnosis between COVID-19 pneumonia and radiation pneumonitis in cancer patients remains a challenge. This study determined their clinical presentations and radiological features in order to early diagnose and separate COVID-19 pneumonia from radiation pneumonitis patients promptly. Methods and Findings: From January 21, 2020 to February 18, 2020, 112 patients diagnosed with suspected COVID-19 were selected consecutively. A retrospective analysis including all patients' presenting was performed. Four patients from 112 suspected individals were selected, including 2 males and 2 females with a median age of 54 years (range 39-64 years). After repeated pharyngeal swab nucleic acid tests, 1 case was confirmed and 3 cases were excluded from COVID-19 pneumonia. Despite the comparable morphologic characteristics of lung CT imaging, the location, extent, and distribution of lung lesions between COVID-19 pneumonia and radiation pneumonitis differed significantly. Conclusions: Lung CT imaging combined with clinical and laboratory findings can facilitate early diagnosis and appropriate management of COVID-19 pneumonia with a history of malignancy and radiation therapy.
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Affiliation(s)
- Qi Zeng
- Guangdong Provincial Key Laboratory of Biomedical Imaging and Guangdong Provincial Engineering Research Center of Molecular Imaging, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, Guangdong Province, China, 519000.,Cancer Center,The Fifth Affiliated Hospital, Sun Yat-Sen University, No. 52 Meihua East Road, Zhuhai, Guangdong Province, China, 519000
| | - Caihua Tang
- Guangdong Provincial Key Laboratory of Biomedical Imaging and Guangdong Provincial Engineering Research Center of Molecular Imaging, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, Guangdong Province, China, 519000.,Department of Radiology, The Fifth Affiliated Hospital, Sun Yat-Sen University, No. 52 Meihua East Road, Zhuhai, Guangdong Province, China, 519000
| | - Lisi Deng
- Guangdong Provincial Key Laboratory of Biomedical Imaging and Guangdong Provincial Engineering Research Center of Molecular Imaging, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, Guangdong Province, China, 519000.,Department of infectious disease, The Fifth Affiliated Hospital, Sun Yat-Sen University, No. 52 Meihua East Road, Zhuhai, Guangdong Province, China, 519000
| | - Sheng Li
- Department of Radiology, Sun Yat-Sen University Cancer Center, No. 651 Dongfeng East Road, Guangzhou, Guangdong Province, China, 50060
| | - Jiani Liu
- Guangdong Provincial Key Laboratory of Biomedical Imaging and Guangdong Provincial Engineering Research Center of Molecular Imaging, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, Guangdong Province, China, 519000.,Cancer Center,The Fifth Affiliated Hospital, Sun Yat-Sen University, No. 52 Meihua East Road, Zhuhai, Guangdong Province, China, 519000
| | - Siyang Wang
- Guangdong Provincial Key Laboratory of Biomedical Imaging and Guangdong Provincial Engineering Research Center of Molecular Imaging, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, Guangdong Province, China, 519000.,Cancer Center,The Fifth Affiliated Hospital, Sun Yat-Sen University, No. 52 Meihua East Road, Zhuhai, Guangdong Province, China, 519000
| | - Hong Shan
- Guangdong Provincial Key Laboratory of Biomedical Imaging and Guangdong Provincial Engineering Research Center of Molecular Imaging, The Fifth Affiliated Hospital, Sun Yat-sen University, Zhuhai, Guangdong Province, China, 519000.,Department of Radiology, The Fifth Affiliated Hospital, Sun Yat-Sen University, No. 52 Meihua East Road, Zhuhai, Guangdong Province, China, 519000
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1839
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Ghaffarzadegan N, Rahmandad H. Simulation-based estimation of the early spread of COVID-19 in Iran: actual versus confirmed cases. SYSTEM DYNAMICS REVIEW 2020; 36:101-129. [PMID: 32834468 PMCID: PMC7361282 DOI: 10.1002/sdr.1655] [Citation(s) in RCA: 16] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/15/2020] [Revised: 05/14/2020] [Accepted: 05/19/2020] [Indexed: 05/08/2023]
Abstract
Understanding the state of the COVID-19 pandemic relies on infection and mortality data. Yet official data may underestimate the actual cases due to limited symptoms and testing capacity. We offer a simulation-based approach which combines various sources of data to estimate the magnitude of outbreak. Early in the epidemic we applied the method to Iran's case, an epicenter of the pandemic in winter 2020. Estimates using data up to March 20th, 2020, point to 916,000 (90% UI: 508 K, 1.5 M) cumulative cases and 15,485 (90% UI: 8.4 K, 25.8 K) total deaths, numbers an order of magnitude higher than official statistics. Our projections suggest that absent strong sustaining of contact reductions the epidemic may resurface. We also use data and studies from the succeeding months to reflect on the quality of original estimates. Our proposed approach can be used for similar cases elsewhere to provide a more accurate, early, estimate of outbreak state. © 2020 System Dynamics Society.
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1840
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Zheng Q, Lu Y, Lure F, Jaeger S, Lu P. Clinical and radiological features of novel coronavirus pneumonia. JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY 2020; 28:391-404. [PMID: 32538893 PMCID: PMC7369043 DOI: 10.3233/xst-200687] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/07/2020] [Revised: 04/18/2020] [Accepted: 05/05/2020] [Indexed: 05/02/2023]
Abstract
Recently, COVID-19 has spread in more than 100 countries and regions around the world, raising grave global concerns. COVID-19 transmits mainly through respiratory droplets and close contacts, causing cluster infections. The symptoms are dominantly fever, fatigue, and dry cough, and can be complicated with tiredness, sore throat, and headache. A few patients have symptoms such as stuffy nose, runny nose, and diarrhea. The severe disease can progress rapidly into the acute respiratory distress syndrome (ARDS). Reverse transcription polymerase chain reaction (RT-PCR) and Next-generation sequencing (NGS) are the gold standard for diagnosing COVID-19. Chest imaging is used for cross validation. Chest CT is highly recommended as the preferred imaging diagnosis method for COVID-19 due to its high density and high spatial resolution. The common CT manifestation of COVID-19 includes multiple segmental ground glass opacities (GGOs) distributed dominantly in extrapulmonary/subpleural zones and along bronchovascular bundles with crazy paving sign and interlobular septal thickening and consolidation. Pleural effusion or mediastinal lymphadenopathy is rarely seen. In CT imaging, COVID-19 manifests differently in its various stages including the early stage, the progression (consolidation) stage, and the absorption stage. In its early stage, it manifests as scattered flaky GGOs in various sizes, dominated by peripheral pulmonary zone/subpleural distributions. In the progression state, GGOs increase in number and/or size, and lung consolidations may become visible. The main manifestation in the absorption stage is interstitial change of both lungs, such as fibrous cords and reticular opacities. Differentiation between COVID-19 pneumonia and other viral pneumonias are also analyzed. Thus, CT examination can help reduce false negatives of nucleic acid tests.
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Affiliation(s)
- Qiuting Zheng
- Department of Medical Imaging, Shenzhen Center for Chronic Disease Control, Guangdong Shenzhen 518020, China
| | - Yibo Lu
- Department of Medical Imaging, The Fourth People’s Hospital of Nanning, Guangxi Nanning 530023, China
| | - Fleming Lure
- MS Technologies, 10110 Molecular Dr., Suite 305, Rockville, MD 20850, USA
- Shenzhen Zhiying Medical Co., Ltd, Guangdong Shenzhen 518020, China
| | - Stefan Jaeger
- National Library of Medicine, National Institutes of Health, 8600 Rockville Pike, Bethesda, MD 20894, USA
| | - Puxuan Lu
- Department of Medical Imaging, Shenzhen Center for Chronic Disease Control, Guangdong Shenzhen 518020, China
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1841
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Rahaman MM, Li C, Yao Y, Kulwa F, Rahman MA, Wang Q, Qi S, Kong F, Zhu X, Zhao X. Identification of COVID-19 samples from chest X-Ray images using deep learning: A comparison of transfer learning approaches. JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY 2020; 28:821-839. [PMID: 32773400 PMCID: PMC7592691 DOI: 10.3233/xst-200715] [Citation(s) in RCA: 99] [Impact Index Per Article: 24.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/19/2020] [Revised: 06/29/2020] [Accepted: 07/11/2020] [Indexed: 05/18/2023]
Abstract
BACKGROUND The novel coronavirus disease 2019 (COVID-19) constitutes a public health emergency globally. The number of infected people and deaths are proliferating every day, which is putting tremendous pressure on our social and healthcare system. Rapid detection of COVID-19 cases is a significant step to fight against this virus as well as release pressure off the healthcare system. OBJECTIVE One of the critical factors behind the rapid spread of COVID-19 pandemic is a lengthy clinical testing time. The imaging tool, such as Chest X-ray (CXR), can speed up the identification process. Therefore, our objective is to develop an automated CAD system for the detection of COVID-19 samples from healthy and pneumonia cases using CXR images. METHODS Due to the scarcity of the COVID-19 benchmark dataset, we have employed deep transfer learning techniques, where we examined 15 different pre-trained CNN models to find the most suitable one for this task. RESULTS A total of 860 images (260 COVID-19 cases, 300 healthy and 300 pneumonia cases) have been employed to investigate the performance of the proposed algorithm, where 70% images of each class are accepted for training, 15% is used for validation, and rest is for testing. It is observed that the VGG19 obtains the highest classification accuracy of 89.3% with an average precision, recall, and F1 score of 0.90, 0.89, 0.90, respectively. CONCLUSION This study demonstrates the effectiveness of deep transfer learning techniques for the identification of COVID-19 cases using CXR images.
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Affiliation(s)
- Md Mamunur Rahaman
- Microscopic Image and Medical Image Analysis Group, College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China
| | - Chen Li
- Microscopic Image and Medical Image Analysis Group, College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China
| | - Yudong Yao
- Department of Electrical and Computer Engineering, Stevens Institute of Technology, Hoboken, NJ, USA
| | - Frank Kulwa
- Microscopic Image and Medical Image Analysis Group, College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China
| | | | - Qian Wang
- Liaoning Hospital and Institute, Cancer Hospital of China Medical University, Shenyang, China
| | - Shouliang Qi
- Microscopic Image and Medical Image Analysis Group, College of Medicine and Biological Information Engineering, Northeastern University, Shenyang, China
| | - Fanjie Kong
- Electrical Engineering Department, Pratt School of Engineering Duke University, Durham, NC, USA
| | - Xuemin Zhu
- Whiting School of Engineering, Johns Hopkins University, 500 W University Parkway, MD, USA, USA
| | - Xin Zhao
- Environmental Engineering Department, Northeastern University, Shenyang, China
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1842
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Gietema HA, Zelis N, Nobel JM, Lambriks LJG, van Alphen LB, Oude Lashof AML, Wildberger JE, Nelissen IC, Stassen PM. CT in relation to RT-PCR in diagnosing COVID-19 in The Netherlands: A prospective study. PLoS One 2020; 15:e0235844. [PMID: 32645053 DOI: 10.1101/2020.04.22.20070441] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2020] [Accepted: 06/18/2020] [Indexed: 05/19/2023] Open
Abstract
INTRODUCTION Early differentiation between emergency department (ED) patients with and without corona virus disease (COVID-19) is very important. Chest CT scan may be helpful in early diagnosing of COVID-19. We investigated the diagnostic accuracy of CT using RT-PCR for SARS-CoV-2 as reference standard and investigated reasons for discordant results between the two tests. METHODS In this prospective single centre study in the Netherlands, all adult symptomatic ED patients had both a CT scan and a RT-PCR upon arrival at the ED. CT results were compared with PCR test(s). Diagnostic accuracy was calculated. Discordant results were investigated using discharge diagnoses. RESULTS Between March 13th and March 24th 2020, 193 symptomatic ED patients were included. In total, 43.0% of patients had a positive PCR and 56.5% a positive CT, resulting in a sensitivity of 89.2%, specificity 68.2%, likelihood ratio (LR)+ 2.81 and LR- 0.16. Sensitivity was higher in patients with high risk pneumonia (CURB-65 score ≥3; n = 17, 100%) and with sepsis (SOFA score ≥2; n = 137, 95.5%). Of the 35 patients (31.8%) with a suspicious CT and a negative RT-PCR, 9 had another respiratory viral pathogen, and in 7 patients, COVID-19 was considered likely. One of nine patients with a non-suspicious CT and a positive PCR had developed symptoms within 48 hours before scanning. DISCUSSION The accuracy of chest CT in symptomatic ED patients is high, but used as a single diagnostic test, CT can not safely diagnose or exclude COVID-19. However, CT can be used as a quick tool to categorize patients into "probably positive" and "probably negative" cohorts.
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Affiliation(s)
- Hester A Gietema
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands
- GROW School for Oncology and Developmental Biology, Maastricht University, Maastricht, The Netherlands
| | - Noortje Zelis
- Department of Internal Medicine, Division of General Internal Medicine, Section Acute Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands
- CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands
| | - J Martijn Nobel
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands
- School of Health Professions Education, Maastricht University, Maastricht, The Netherlands
| | - Lars J G Lambriks
- Department of Internal Medicine, Division of General Internal Medicine, Section Acute Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Lieke B van Alphen
- Department of Medical Microbiology, Maastricht University Medical Centre, Maastricht, The Netherlands
- School CAPHRI, Care and Public Health Research Institute, Maastricht University, Maastricht, The Netherlands
| | - Astrid M L Oude Lashof
- Department of Medical Microbiology, Maastricht University Medical Centre, Maastricht, The Netherlands
- School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, The Netherlands
| | - Joachim E Wildberger
- Department of Radiology and Nuclear Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands
- CARIM School for Cardiovascular Diseases, Maastricht University, Maastricht, The Netherlands
| | - Irene C Nelissen
- Department of Internal Medicine, Division of General Internal Medicine, Section Acute Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands
| | - Patricia M Stassen
- Department of Internal Medicine, Division of General Internal Medicine, Section Acute Medicine, Maastricht University Medical Centre, Maastricht, The Netherlands
- School CAPHRI, Care and Public Health Research Institute, Maastricht University, Maastricht, The Netherlands
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1843
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Mahajan A, Pande P, Sharma P, Goyal D, Kulkarni T, Rane S. COVID-19: A review of the ongoing pandemic. CANCER RESEARCH, STATISTICS, AND TREATMENT 2020. [DOI: 10.4103/crst.crst_174_20] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/05/2023] Open
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1844
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Mohammed A, Wang C, Zhao M, Ullah M, Naseem R, Wang H, Pedersen M, Cheikh FA. Weakly-Supervised Network for Detection of COVID-19 in Chest CT Scans. IEEE ACCESS : PRACTICAL INNOVATIONS, OPEN SOLUTIONS 2020; 8:155987-156000. [PMID: 34812352 PMCID: PMC8545309 DOI: 10.1109/access.2020.3018498] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/24/2020] [Accepted: 08/10/2020] [Indexed: 05/02/2023]
Abstract
Deep Learning-based chest Computed Tomography (CT) analysis has been proven to be effective and efficient for COVID-19 diagnosis. Existing deep learning approaches heavily rely on large labeled data sets, which are difficult to acquire in this pandemic situation. Therefore, weakly-supervised approaches are in demand. In this paper, we propose an end-to-end weakly-supervised COVID-19 detection approach, ResNext+, that only requires volume level data labels and can provide slice level prediction. The proposed approach incorporates a lung segmentation mask as well as spatial and channel attention to extract spatial features. Besides, Long Short Term Memory (LSTM) is utilized to acquire the axial dependency of the slices. Moreover, a slice attention module is applied before the final fully connected layer to generate the slice level prediction without additional supervision. An ablation study is conducted to show the efficiency of the attention blocks and the segmentation mask block. Experimental results, obtained from publicly available datasets, show a precision of 81.9% and F1 score of 81.4%. The closest state-of-the-art gives 76.7% precision and 78.8% F1 score. The 5% improvement in precision and 3% in the F1 score demonstrate the effectiveness of the proposed method. It is worth noticing that, applying image enhancement approaches do not improve the performance of the proposed method, sometimes even harm the scores, although the enhanced images have better perceptual quality.
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Affiliation(s)
- Ahmed Mohammed
- Department of Computer ScienceNorwegian University of Science and Technology (NTNU) 2815 Gjøvik Norway
| | - Congcong Wang
- Department of Computer ScienceNorwegian University of Science and Technology (NTNU) 2815 Gjøvik Norway
| | - Meng Zhao
- Department of Computer ScienceNorwegian University of Science and Technology (NTNU) 2815 Gjøvik Norway
| | - Mohib Ullah
- Department of Computer ScienceNorwegian University of Science and Technology (NTNU) 2815 Gjøvik Norway
| | - Rabia Naseem
- Department of Computer ScienceNorwegian University of Science and Technology (NTNU) 2815 Gjøvik Norway
| | - Hao Wang
- Department of Computer ScienceNorwegian University of Science and Technology (NTNU) 2815 Gjøvik Norway
| | - Marius Pedersen
- Department of Computer ScienceNorwegian University of Science and Technology (NTNU) 2815 Gjøvik Norway
| | - Faouzi Alaya Cheikh
- Department of Computer ScienceNorwegian University of Science and Technology (NTNU) 2815 Gjøvik Norway
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1845
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Xia W, Guo Y, Tian Z, Luo Y, Hu D, Shao J, Li Z, Kamel IR. Clinical Features and Temporal Changes of RT-PCR and Chest CT in COVID-19 Pediatric Patients. Front Pediatr 2020; 8:579512. [PMID: 33163466 PMCID: PMC7581798 DOI: 10.3389/fped.2020.579512] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Accepted: 09/02/2020] [Indexed: 01/08/2023] Open
Abstract
Objective: This work aims to investigate the clinical features and the temporal changes of RT-PCR and CT in COVID-19 pediatric patients. Methods: The clinical, RT-PCR, and CT features of 114 COVID-19 pediatric in-patients were retrospectively reviewed from January 21 to March 14, 2020. All patients had chest CT on admission and were identified as positive by pharyngeal swab nucleic acid test. The clinical features were analyzed, as well as the features and the temporal changes of RT-PCR and CT. Results: Fever (62, 54%) and cough (61, 54%) were the most common symptoms. There were 34 (30%) cases of concurrent infections. The most common imaging features on CT were ground-glass opacities (46, 40%) and consolidation (46, 40%). The bilateral lower lobes were the most common pattern of involvement, with 63 cases (55%) involving one to two lobes, and in 32 (28%) cases CT was normal. Throughout the whole duration of COVID-19 in children, the diagnostic positive rate of RT-PCR has been far higher than that of CT (all P < 0.05). For RT-PCR follow-up, reliable negative results were obtained only 7 days after the onset of symptoms. Though lung involvement on chest CT progressed rapidly in several cases, lung involvement in children with COVID-19 is mild, with a median value of 2 on CT score. Conclusions: RT-PCR is more reliable than CT in the initial diagnosis of pediatric patients with COVID-19. On follow-up, reliable negative RT-PCR results are available 7 days after the initial symptoms. The use of CT should be considered for follow-up purposes only if necessary.
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Affiliation(s)
- Wei Xia
- Department of Imaging Center, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yu Guo
- Department of Imaging Center, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhiyao Tian
- Department of Imaging Center, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Yan Luo
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Daoyu Hu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Jianbo Shao
- Department of Imaging Center, Wuhan Children's Hospital (Wuhan Maternal and Child Healthcare Hospital), Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Zhen Li
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China
| | - Ihab R Kamel
- Russell H. Morgan Department of Radiology and Radiological Sciences, Johns Hopkins Hospital, Johns Hopkins Med Institute, Baltimore, MD, United States
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1846
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Mohammed MA, Abdulkareem KH, Al-Waisy AS, Mostafa SA, Al-Fahdawi S, Dinar AM, Alhakami W, Baz A, Al-Mhiqani MN, Alhakami H, Arbaiy N, Maashi MS, Mutlag AA, Garcia-Zapirain B, De La Torre Diez I. Benchmarking Methodology for Selection of Optimal COVID-19 Diagnostic Model Based on Entropy and TOPSIS Methods. IEEE ACCESS 2020; 8:99115-99131. [DOI: 10.1109/access.2020.2995597] [Citation(s) in RCA: 57] [Impact Index Per Article: 14.3] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 08/29/2023]
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