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Nam BD, Hong H, Yoon SH. Diagnostic performance of standardized typical CT findings for COVID-19: a systematic review and meta-analysis. Insights Imaging 2023; 14:96. [PMID: 37222857 DOI: 10.1186/s13244-023-01429-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Accepted: 04/14/2023] [Indexed: 05/25/2023] Open
Abstract
OBJECTIVE To meta-analyze diagnostic performance measures of standardized typical CT findings for COVID-19 and examine these measures by region and national income. METHODS MEDLINE and Embase were searched from January 2020 to April 2022 for diagnostic studies using the Radiological Society of North America (RSNA) classification or the COVID-19 Reporting and Data System (CO-RADS) for COVID-19. Patient and study characteristics were extracted. We pooled the diagnostic performance of typical CT findings in the RSNA and CO-RADS systems and interobserver agreement. Meta-regression was performed to examine the effect of potential explanatory factors on the diagnostic performance of the typical CT findings. RESULTS We included 42 diagnostic performance studies with 6777 PCR-positive and 9955 PCR-negative patients from 18 developing and 24 developed countries covering the Americas, Europe, Asia, and Africa. The pooled sensitivity was 70% (95% confidence interval [CI]: 65%, 74%; I2 = 92%), and the pooled specificity was 90% (95% CI 86%, 93%; I2 = 94%) for the typical CT findings of COVID-19. The sensitivity and specificity of the typical CT findings did not differ significantly by national income and the region of the study (p > 0.1, respectively). The pooled interobserver agreement from 19 studies was 0.72 (95% CI 0.63, 0.81; I2 = 99%) for the typical CT findings and 0.67 (95% CI 0.61, 0.74; I2 = 99%) for the overall CT classifications. CONCLUSION The standardized typical CT findings for COVID-19 provided moderate sensitivity and high specificity globally, regardless of region and national income, and were highly reproducible between radiologists. CRITICAL RELEVANCE STATEMENT Standardized typical CT findings for COVID-19 provided a reproducible high diagnostic accuracy globally. KEY POINTS Standardized typical CT findings for COVID-19 provide high sensitivity and specificity. Typical CT findings show high diagnosability regardless of region or income. The interobserver agreement for typical findings of COVID-19 is substantial.
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Affiliation(s)
- Bo Da Nam
- Department of Radiology, Soonchunhyang University College of Medicine, Soonchunhyang University Seoul Hospital, Seoul, Republic of Korea
| | - Hyunsook Hong
- Medical Research Collaborating Center, Seoul National University Hospital, Seoul, Republic of Korea
| | - Soon Ho Yoon
- Department of Radiology, Seoul National University College of Medicine, Seoul National University Hospital, Seoul, Republic of Korea.
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Fiorelli S, Menna C, Piccioni F, Zuanetti G, Valenza F, Rispoli M, Amore D, Rocco M, Rendina EA, Ibrahim M, Massullo D. Preoperative SARS-CoV-2 Infection Screening before Thoracic Surgery during COVID-19 Pandemic: A Multicenter Retrospective Study. Int J Clin Pract 2023; 2023:8993295. [PMID: 36915634 PMCID: PMC10008108 DOI: 10.1155/2023/8993295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/25/2022] [Revised: 01/17/2023] [Accepted: 02/04/2023] [Indexed: 03/07/2023] Open
Abstract
OBJECTIVES During coronavirus disease (COVID-19) pandemic, preoperative screening before thoracic surgery is paramount in order to protect patients and staff from undetected infections. This study aimed to determine which preoperative COVID-19 screening tool was the most effective strategy before thoracic surgery. METHODS This retrospective cohort multicenter study was performed at 3 Italian thoracic surgery centers. All adult patients scheduled for thoracic surgery procedures from 4th March until 24th April, 2020, and submitted to COVID-19 preoperative screenings were included. The primary outcome was the yield of screening of the different strategies. RESULTS A total of 430 screenings were performed on 275 patients; 275 anamnestic questionnaires were administered. 77 patients were screened by an anamnestic questionnaire and reverse transcriptase polymerase chain reaction (RT-PCR). 78 patients were selected to combine screening with anamnestic questionnaire and chest computed tomography (CT). The positive yield of screening using a combination of anamnestic questionnaire and RT-PCR was 7.8% (95% CI: 2.6-14.3), while using a combination of anamnestic questionnaire and chest CT was 3.8% (95% CI: 0-9). Individual yields were 1.1% (95% CI: 0-2.5) for anamnestic questionnaire, 5.2% (95% CI: 1.3-11.7) for RT-PCR, and 3.8% (95% CI: 0-9). CONCLUSIONS The association of anamnestic questionnaire and RT-PCR is able to detect around 8 positives in 100 asymptomatic patients. This combined strategy could be a valuable preoperative SARS-CoV-2 screening tool before thoracic surgery.
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Affiliation(s)
- Silvia Fiorelli
- Anesthesia and Intensive Care Medicine, Department of Clinical and Surgical Translational Medicine, Sapienza University of Rome, Via di Grottarossa 1035 00189, Rome, Italy
| | - Cecilia Menna
- Thoracic Surgery, Department of Clinical and Surgical Translational Medicine, Sapienza University of Rome, Via di Grottarossa 1035 00189, Rome, Italy
| | - Federico Piccioni
- Anesthesia and Intensive Care Unit, Azienda USL-IRCCS di Reggio Emilia, Reggio Emilia, Italy
| | - Gabriele Zuanetti
- School of Anesthesia and Intensive Care, University of Milan, Milan, Italy
| | - Franco Valenza
- Department of Anesthesia, Intensive Care and Palliative Care, Fondazione IRCCS Istituto Nazionale dei Tumori, Milan, Italy
- Department of Oncology and Oncohematology, University of Milan, Milan, Italy
| | - Marco Rispoli
- Anesthesia and Intensive Care, AORN dei Colli, Monaldi Hospital, Naples, Italy
| | - Dario Amore
- Thoracic Surgery, AORN dei Colli, Monaldi Hospital, Naples, Italy
| | - Monica Rocco
- Anesthesia and Intensive Care Medicine, Department of Clinical and Surgical Translational Medicine, Sapienza University of Rome, Via di Grottarossa 1035 00189, Rome, Italy
| | - Erino Angelo Rendina
- Thoracic Surgery, Department of Clinical and Surgical Translational Medicine, Sapienza University of Rome, Via di Grottarossa 1035 00189, Rome, Italy
| | - Mohsen Ibrahim
- Thoracic Surgery, Department of Clinical and Surgical Translational Medicine, Sapienza University of Rome, Via di Grottarossa 1035 00189, Rome, Italy
| | - Domenico Massullo
- Anesthesia and Intensive Care Medicine, Department of Clinical and Surgical Translational Medicine, Sapienza University of Rome, Via di Grottarossa 1035 00189, Rome, Italy
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de Bock E, Filipe MD, Simmermacher RKJ, Kroese AC, Vriens MR, Richir MC. Meta-analysis of COVID-19 prevalence during preoperative COVID-19 screening in asymptomatic patients. BMJ Open 2022; 12:e058389. [PMID: 35798523 PMCID: PMC9263349 DOI: 10.1136/bmjopen-2021-058389] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/03/2022] Open
Abstract
OBJECTIVES Patients with COVID-19 may be asymptomatic and are able to transmit COVID-19 during a surgical procedure, resulting in increased pressure on healthcare and reduced control of COVID-19 spread. There remains uncertainty about the implementation of preoperative screening for COVID-19 in asymptomatic surgical patients. Therefore, this study aims to determine the prevalence of preoperative COVID-19, confirmed by reverse transcriptase PCR (RT-PCR), in asymptomatic patients. DESIGN Systematic review and meta-analysis. DATA SOURCES Pubmed and Embase databases were searched through 20 February 2022. ELIGIBILITY CRITERIA All COVID-19 articles including preoperative asymptomatic patients were included. DATA EXTRACTION AND SYNTHESIS Two independent reviewers extracted data and assessed risk of bias. Meta-analysis was performed to determine the prevalence of COVID-19 with 95% CI. Moreover, estimated positive predictive value (PPV), negative predictive value, false-positives (FP) and false-negatives were calculated for preoperative asymptomatic patients. RESULTS Twenty-seven studies containing 27 256 asymptomatic preoperative screened patients were included, of which 431 were positive for COVID-19 by RT-PCR test. In addition, the meta-analysis revealed a pooled COVID-19 prevalence of 0.76% (95% CI 0.36% to 1.59%). The calculated PPV for this prevalence is 40.8%. CONCLUSIONS The pooled COVID-19 prevalence in asymptomatic patients tested preoperatively was 0.76%, with low corresponding PPV. Consequently, nearly three-quarters of postponed surgical procedures in asymptomatic preoperative patients may be FP. In the event of similar pandemics, modification of preoperative mandatory RT-PCR COVID-19 testing in asymptomatic patients may be considered.
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Affiliation(s)
- Ellen de Bock
- Department of Surgery, Cancer Centre, University Medical Centre, Utrecht, The Netherlands
| | - Mando D Filipe
- Department of Surgery, Cancer Centre, University Medical Centre, Utrecht, The Netherlands
| | | | - A Christiaan Kroese
- Department of Anaesthesiology, University Medical Centre, Utrecht, The Netherlands
| | - Menno R Vriens
- Department of Surgery, Cancer Centre, University Medical Centre, Utrecht, The Netherlands
| | - Milan C Richir
- Department of Surgery, Cancer Centre, University Medical Centre, Utrecht, The Netherlands
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Ebrahimzadeh S, Islam N, Dawit H, Salameh JP, Kazi S, Fabiano N, Treanor L, Absi M, Ahmad F, Rooprai P, Al Khalil A, Harper K, Kamra N, Leeflang MM, Hooft L, van der Pol CB, Prager R, Hare SS, Dennie C, Spijker R, Deeks JJ, Dinnes J, Jenniskens K, Korevaar DA, Cohen JF, Van den Bruel A, Takwoingi Y, van de Wijgert J, Wang J, Pena E, Sabongui S, McInnes MD. Thoracic imaging tests for the diagnosis of COVID-19. Cochrane Database Syst Rev 2022; 5:CD013639. [PMID: 35575286 PMCID: PMC9109458 DOI: 10.1002/14651858.cd013639.pub5] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/25/2022]
Abstract
BACKGROUND Our March 2021 edition of this review showed thoracic imaging computed tomography (CT) to be sensitive and moderately specific in diagnosing COVID-19 pneumonia. This new edition is an update of the review. OBJECTIVES Our objectives were to evaluate the diagnostic accuracy of thoracic imaging in people with suspected COVID-19; assess the rate of positive imaging in people who had an initial reverse transcriptase polymerase chain reaction (RT-PCR) negative result and a positive RT-PCR result on follow-up; and evaluate the accuracy of thoracic imaging for screening COVID-19 in asymptomatic individuals. The secondary objective was to assess threshold effects of index test positivity on accuracy. SEARCH METHODS We searched the COVID-19 Living Evidence Database from the University of Bern, the Cochrane COVID-19 Study Register, The Stephen B. Thacker CDC Library, and repositories of COVID-19 publications through to 17 February 2021. We did not apply any language restrictions. SELECTION CRITERIA We included diagnostic accuracy studies of all designs, except for case-control, that recruited participants of any age group suspected to have COVID-19. Studies had to assess chest CT, chest X-ray, or ultrasound of the lungs for the diagnosis of COVID-19, use a reference standard that included RT-PCR, and report estimates of test accuracy or provide data from which we could compute estimates. We excluded studies that used imaging as part of the reference standard and studies that excluded participants with normal index test results. DATA COLLECTION AND ANALYSIS The review authors independently and in duplicate screened articles, extracted data and assessed risk of bias and applicability concerns using QUADAS-2. We presented sensitivity and specificity per study on paired forest plots, and summarized pooled estimates in tables. We used a bivariate meta-analysis model where appropriate. MAIN RESULTS We included 98 studies in this review. Of these, 94 were included for evaluating the diagnostic accuracy of thoracic imaging in the evaluation of people with suspected COVID-19. Eight studies were included for assessing the rate of positive imaging in individuals with initial RT-PCR negative results and positive RT-PCR results on follow-up, and 10 studies were included for evaluating the accuracy of thoracic imaging for imagining asymptomatic individuals. For all 98 included studies, risk of bias was high or unclear in 52 (53%) studies with respect to participant selection, in 64 (65%) studies with respect to reference standard, in 46 (47%) studies with respect to index test, and in 48 (49%) studies with respect to flow and timing. Concerns about the applicability of the evidence to: participants were high or unclear in eight (8%) studies; index test were high or unclear in seven (7%) studies; and reference standard were high or unclear in seven (7%) studies. Imaging in people with suspected COVID-19 We included 94 studies. Eighty-seven studies evaluated one imaging modality, and seven studies evaluated two imaging modalities. All studies used RT-PCR alone or in combination with other criteria (for example, clinical signs and symptoms, positive contacts) as the reference standard for the diagnosis of COVID-19. For chest CT (69 studies, 28285 participants, 14,342 (51%) cases), sensitivities ranged from 45% to 100%, and specificities from 10% to 99%. The pooled sensitivity of chest CT was 86.9% (95% confidence interval (CI) 83.6 to 89.6), and pooled specificity was 78.3% (95% CI 73.7 to 82.3). Definition for index test positivity was a source of heterogeneity for sensitivity, but not specificity. Reference standard was not a source of heterogeneity. For chest X-ray (17 studies, 8529 participants, 5303 (62%) cases), the sensitivity ranged from 44% to 94% and specificity from 24 to 93%. The pooled sensitivity of chest X-ray was 73.1% (95% CI 64. to -80.5), and pooled specificity was 73.3% (95% CI 61.9 to 82.2). Definition for index test positivity was not found to be a source of heterogeneity. Definition for index test positivity and reference standard were not found to be sources of heterogeneity. For ultrasound of the lungs (15 studies, 2410 participants, 1158 (48%) cases), the sensitivity ranged from 73% to 94% and the specificity ranged from 21% to 98%. The pooled sensitivity of ultrasound was 88.9% (95% CI 84.9 to 92.0), and the pooled specificity was 72.2% (95% CI 58.8 to 82.5). Definition for index test positivity and reference standard were not found to be sources of heterogeneity. Indirect comparisons of modalities evaluated across all 94 studies indicated that chest CT and ultrasound gave higher sensitivity estimates than X-ray (P = 0.0003 and P = 0.001, respectively). Chest CT and ultrasound gave similar sensitivities (P=0.42). All modalities had similar specificities (CT versus X-ray P = 0.36; CT versus ultrasound P = 0.32; X-ray versus ultrasound P = 0.89). Imaging in PCR-negative people who subsequently became positive For rate of positive imaging in individuals with initial RT-PCR negative results, we included 8 studies (7 CT, 1 ultrasound) with a total of 198 participants suspected of having COVID-19, all of whom had a final diagnosis of COVID-19. Most studies (7/8) evaluated CT. Of 177 participants with initially negative RT-PCR who had positive RT-PCR results on follow-up testing, 75.8% (95% CI 45.3 to 92.2) had positive CT findings. Imaging in asymptomatic PCR-positive people For imaging asymptomatic individuals, we included 10 studies (7 CT, 1 X-ray, 2 ultrasound) with a total of 3548 asymptomatic participants, of whom 364 (10%) had a final diagnosis of COVID-19. For chest CT (7 studies, 3134 participants, 315 (10%) cases), the pooled sensitivity was 55.7% (95% CI 35.4 to 74.3) and the pooled specificity was 91.1% (95% CI 82.6 to 95.7). AUTHORS' CONCLUSIONS Chest CT and ultrasound of the lungs are sensitive and moderately specific in diagnosing COVID-19. Chest X-ray is moderately sensitive and moderately specific in diagnosing COVID-19. Thus, chest CT and ultrasound may have more utility for ruling out COVID-19 than for differentiating SARS-CoV-2 infection from other causes of respiratory illness. The uncertainty resulting from high or unclear risk of bias and the heterogeneity of included studies limit our ability to confidently draw conclusions based on our results.
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Affiliation(s)
- Sanam Ebrahimzadeh
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada
| | - Nayaar Islam
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada
- Department of Radiology, University of Ottawa, Ottawa, Canada
| | - Haben Dawit
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada
- Department of Radiology, University of Ottawa, Ottawa, Canada
| | | | - Sakib Kazi
- Department of Radiology, University of Ottawa, Ottawa, Canada
| | | | - Lee Treanor
- Department of Radiology, University of Ottawa, Ottawa, Canada
| | - Marissa Absi
- Department of Radiology, University of Ottawa, Ottawa, Canada
| | - Faraz Ahmad
- Department of Radiology, University of Ottawa, Ottawa, Canada
| | - Paul Rooprai
- Department of Radiology, University of Ottawa, Ottawa, Canada
| | - Ahmed Al Khalil
- Department of Radiology, University of Ottawa, Ottawa, Canada
| | - Kelly Harper
- Department of Radiology, University of Ottawa, Ottawa, Canada
| | - Neil Kamra
- Department of Radiology, University of Ottawa, Ottawa, Canada
| | - Mariska Mg Leeflang
- Department of Clinical Epidemiology, Biostatistics and Bioinformatics, Amsterdam University Medical Centers, University of Amsterdam, Amsterdam, Netherlands
| | - Lotty Hooft
- Cochrane Netherlands, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht , Netherlands
| | | | - Ross Prager
- Department of Medicine, University of Ottawa, Ottawa, Canada
| | - Samanjit S Hare
- Department of Radiology, Royal Free London NHS Trust, London , UK
| | - Carole Dennie
- Department of Radiology, University of Ottawa, Ottawa, Canada
- Department of Medical Imaging, The Ottawa Hospital, Ottawa, Canada
| | - René Spijker
- Cochrane Netherlands, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht , Netherlands
- Medical Library, Amsterdam UMC, University of Amsterdam, Amsterdam Public Health, Amsterdam, Netherlands
| | - Jonathan J Deeks
- Test Evaluation Research Group, Institute of Applied Health Research, University of Birmingham, Birmingham, UK
- NIHR Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, UK
| | - Jacqueline Dinnes
- Test Evaluation Research Group, Institute of Applied Health Research, University of Birmingham, Birmingham, UK
- NIHR Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, UK
| | - Kevin Jenniskens
- Cochrane Netherlands, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
| | - Daniël A Korevaar
- Department of Respiratory Medicine, Amsterdam UMC, University of Amsterdam, Amsterdam, Netherlands
| | - Jérémie F Cohen
- Obstetrical, Perinatal and Pediatric Epidemiology Research Team (EPOPé), Centre of Research in Epidemiology and Statistics (CRESS), UMR1153, Université de Paris, Paris, France
| | | | - Yemisi Takwoingi
- Test Evaluation Research Group, Institute of Applied Health Research, University of Birmingham, Birmingham, UK
- NIHR Birmingham Biomedical Research Centre, University Hospitals Birmingham NHS Foundation Trust and University of Birmingham, Birmingham, UK
| | - Janneke van de Wijgert
- Cochrane Netherlands, Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht University, Utrecht, Netherlands
- Institute of Infection, Veterinary, and Ecological Sciences, University of Liverpool, Liverpool, UK
| | - Junfeng Wang
- Julius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Utrecht, Netherlands
| | - Elena Pena
- Department of Radiology, University of Ottawa, Ottawa, Canada
- Department of Medical Imaging, The Ottawa Hospital, Ottawa, Canada
| | | | - Matthew Df McInnes
- Clinical Epidemiology Program, Ottawa Hospital Research Institute, Ottawa, Canada
- Department of Radiology, University of Ottawa, Ottawa, Canada
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Morikawa K, Misumi S, Igarashi T, Fujimori A, Ogihara A, Akao R, Hasumi J, Watanabe T, Fujii Y, Ojiri H, Mori S. Clinical significance of chest CT for the exclusion of COVID-19 in pre-admission screening: is it worthwhile using chest CT with reverse-transcription polymerase chain reaction test? Respir Investig 2022; 60:595-603. [PMID: 35581125 PMCID: PMC9080118 DOI: 10.1016/j.resinv.2022.04.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Revised: 04/04/2022] [Accepted: 04/19/2022] [Indexed: 11/24/2022]
Abstract
Background A single reverse-transcription polymerase chain reaction (RT-PCR) test is not sufficient to exclude COVID-19 in hospital pre-admission screening. However, repeated RT-PCR tests are time-consuming. This study investigates the utility of chest computed tomography (CT) for COVID-19 screening in asymptomatic patients. Methods Between April 2020 and March 2021, RT-PCR testing and chest CT were performed to screen COVID-19 in 10 823 asymptomatic patients prior to admission. Chest CT findings were retrospectively evaluated using the reporting system of the Radiological Society of North America. Using RT-PCR results as a reference, we assessed the diagnostic efficacy of chest CT during both the low- and high-prevalence periods of the COVID-19 pandemic. Results Following a positive RT-PCR test, 20 asymptomatic patients (0.18%) were diagnosed with COVID-19; in the low-prevalence period, 5 of 6556 patients (0.076%) were positive; and in the high-prevalence period, 15 of 4267 patients (0.35%) were positive. Of the 20 asymptomatic COVID-19 positive patients, chest CT results were positive for COVID-19 pneumonia in 8 patients. Chest CT results were false-positive in 185 patients (1.7% false-positive rate, and 60% false-negative rate). Pneumonia that was classified as a “typical appearance” of COVID-19 reported as false-positives in 36 of 39 patients (92.3%). Across the study period, the diagnostic efficacy of “typical appearance” on chest CT were characterized by a sensitivity, specificity, accuracy, positive predictive value (PPV), and negative predictive value (NPV) of 15%, 99.7%, 99.7%, 7.7%, and 99.8%; 20%, 99.6%, 99.6%, 4%, and 99.9%; and 13.3%, 99.7%, 99.7%, 14.3%, and 99.7%, in the entire study, low-, and high-prevalence periods, respectively. Conclusions Addition of chest CT to RT-PCR testing provides no benefit to the detection of COVID-19 in asymptomatic patients.
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Affiliation(s)
- Kazuhiko Morikawa
- Department of Radiology, The Jikei University School of Medicine, Tokyo, Japan.
| | - Shigeki Misumi
- Department of Radiology, The Jikei University School of Medicine, Tokyo, Japan
| | - Takao Igarashi
- Department of Radiology, The Jikei University School of Medicine, Tokyo, Japan
| | - Ayako Fujimori
- Department of Radiology, The Jikei University School of Medicine, Tokyo, Japan
| | - Akira Ogihara
- Department of Radiology, The Jikei University School of Medicine, Tokyo, Japan
| | - Ryo Akao
- Department of Radiology, The Jikei University School of Medicine, Tokyo, Japan
| | - Jun Hasumi
- Department of Radiology, The Jikei University School of Medicine, Tokyo, Japan
| | - Takashi Watanabe
- Department of Radiology, The Jikei University School of Medicine, Tokyo, Japan
| | - Yuriko Fujii
- Department of Radiology, The Jikei University School of Medicine, Tokyo, Japan
| | - Hiroya Ojiri
- Department of Radiology, The Jikei University School of Medicine, Tokyo, Japan
| | - Shohei Mori
- Division of Thoracic Surgery, Department of Surgery, The Jikei University School of Medicine, Tokyo, Japan
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Kato S, Ishiwata Y, Aoki R, Iwasawa T, Hagiwara E, Ogura T, Utsunomiya D. Imaging of COVID-19: An update of current evidences. Diagn Interv Imaging 2021; 102:493-500. [PMID: 34088635 PMCID: PMC8148573 DOI: 10.1016/j.diii.2021.05.006] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/11/2021] [Revised: 05/16/2021] [Accepted: 05/17/2021] [Indexed: 12/15/2022]
Abstract
Coronavirus disease 2019 (COVID-19), caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), has been reported as a global emergency. As respiratory dysfunction is a major clinical presentation of COVID-19, chest computed tomography (CT) plays a central role in the diagnosis and management of patients with COVID-19. Recent advances in imaging approaches using artificial intelligence have been essential as a quantification and diagnostic tool to differentiate COVID-19 from other respiratory infectious diseases. Furthermore, cardiovascular involvement in patients with COVID-19 is not negligible and may result in rapid worsening of the disease and sudden death. Cardiac magnetic resonance imaging can accurately depict myocardial involvement in SARS-CoV-2 infection. This review summarizes the role of the radiology department in the management and the diagnosis of COVID-19, with a special emphasis on ultra-high-resolution CT findings, cardiovascular complications and the potential of artificial intelligence.
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Affiliation(s)
- Shingo Kato
- Department of Diagnostic Radiology, Yokohama City University Graduate School of Medicine, 236-0004 Yokohama, Kanagawa, Japan.
| | - Yoshinobu Ishiwata
- Department of Diagnostic Radiology, Yokohama City University Graduate School of Medicine, 236-0004 Yokohama, Kanagawa, Japan
| | - Ryo Aoki
- Department of Diagnostic Radiology, Yokohama City University Medical Center, 232-0024 Yokohama, Kanagawa, Japan
| | - Tae Iwasawa
- Department of Diagnostic Radiology, Kanagawa Cardiovascular and Respiratory Center, 236-0051 Yokohama, Kanagawa, Japan
| | - Eri Hagiwara
- Department of Respiratory Medicine, Kanagawa Cardiovascular and Respiratory Center, 236-0051 Yokohama, Kanagawa, Japan
| | - Takashi Ogura
- Department of Respiratory Medicine, Kanagawa Cardiovascular and Respiratory Center, 236-0051 Yokohama, Kanagawa, Japan
| | - Daisuke Utsunomiya
- Department of Diagnostic Radiology, Yokohama City University Graduate School of Medicine, 236-0004 Yokohama, Kanagawa, Japan
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