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Chest CT for Typical Coronavirus Disease 2019 (COVID-19) Pneumonia: Relationship to Negative RT-PCR Testing
Open accessAbstract
Some patients with positive chest CT findings may present with negative results of real-time reverse-transcription polymerase chain reaction (RT-PCR) tests for coronavirus disease 2019 (COVID-19). In this study, the authors present chest CT findings from five patients with COVID-19 infection who had initial negative RT-PCR results. All five patients had typical imaging findings, including ground-glass opacity (five patients) and/or mixed ground-glass opacity and mixed consolidation (two patients). After isolation for presumed COVID-19 pneumonia, all patients were eventually confirmed to have COVID-19 infection by means of repeated swab tests. A combination of repeated swab tests and CT scanning may be helpful for individuals with a high clinical suspicion of COVID-19 infection but negative findings at RT-PCR screening.
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“There are currently a number of different ways to detect COVID-19, whereas computed tomography and X-rays remain the major surgical techniques [80–82].”
From A comprehensive survey on federated learning techniques for healthcare informatics (2023) · cites this paper as [81]
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A novel coronavirus from patients with pneumonia in China, 2019
Zhu, N., Zhang, D., Wang, W., Li, X., Yang, B., Song, J., Zhao, X., Huang, B., Shi, W., Lu, R., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2001017 · Cited by 28,244
CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV)
Chung, M., Bernheim, A., Mei, X., Zhang, N., Huang, M., Zeng, X., Cui, J., Xu, W., Yang, Y., Fayad, Z. A., et al. (2020) · Radiology · doi:10.1148/radiol.2020200230 · Cited by 2,751
Emerging 2019 Novel Coronavirus (2019-nCoV) Pneumonia
Song, F., Shi, N., Shan, F., Zhang, Z., Shen, J., Lu, H., Ling, Y., Jiang, Y., & Shi, Y. (2020) · Radiology · doi:10.1148/radiol.2020200274 · Cited by 1,217
Kanne, J. P. (2020) · Radiology · doi:10.1148/radiol.2020200241 · Cited by 668
Severe Acute Respiratory Syndrome: Temporal Lung Changes at Thin-Section CT in 30 Patients
OOI, G. C., Khong, P. L., Müller, N. L., Yiu, W. C., Zhou, L. J., Ho, J., LAM, B. K., Nicolaou, S., & TSANG, K. W. T. (2004) · Radiology · doi:10.1148/radiol.2303030853 · Cited by 329
Middle East Respiratory Syndrome Coronavirus (MERS-CoV) Infection: Chest CT Findings
Ajlan, A. M., Ahyad, R. A., Jamjoom, L. G., Alharthy, A., & Madani, T. A. (2014) · American Journal of Roentgenology · doi:10.2214/ajr.14.13021 · Cited by 286
Cited by
Sorted by citations
Ai, T., Yang, Z., Hou, H., Zhan, C., Chen, C., Lv, W., Tao, Q., Sun, Z., & Xia, L. (2020) · Radiology · doi:10.1148/radiol.2020200642 · Cited by 5,793
“It has been noted in small-scale studies that the current RT-PCR testing has limited sensitivity, whereas chest CT may reveal pulmonary abnormalities consistent with COVID-19 in patients with initial negative RT-PCR results (8,9).”
ResultCharacteristics of SARS-CoV-2 and COVID-19
Hu, B., Guo, H., Zhou, P., & Shi, Z.-L. (2021) · Nature Reviews Microbiology · doi:10.1038/s41579-020-00459-7 · Cited by 5,291
Sensitivity of Chest CT for COVID-19: Comparison to RT-PCR
Fang, Y., Zhang, H., Xie, J., Lin, M., Ying, L., Pang, P., & Ji, W. (2020) · Radiology · doi:10.1148/radiol.2020200432 · Cited by 3,340
“Recently, Xie reported 5/167 (3%) patients who had negative RT-PCR for COVID-19 at initial presentation despite chest CT findings typical of viral pneumonia [3].”
BackgroundChest CT Findings in Coronavirus Disease-19 (COVID-19): Relationship to Duration of Infection
Bernheim, A., Mei, X., Huang, M., Yang, Y., Fayad, Z. A., Zhang, N., Diao, K., Lin, B., Zhu, X., Li, K., et al. (2020) · Radiology · doi:10.1148/radiol.2020200463 · Cited by 2,703
Automated detection of COVID-19 cases using deep neural networks with X-ray images
Öztürk, T., Talo, M., Yildirim, E. A., Baloğlu, U. B., Yıldırım, Ö., & Acharya, U. R. (2020) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2020.103792 · Cited by 2,652
“Due to the low RT-PCR sensitivity of 60%-70%, even if negative results are obtained, symptoms can be detected by examining radiological images of patients [9, 10] .”
InfluentialCoronavirus Disease 2019 (COVID-19): A Perspective from China
Zu, Z. Y., Jiang, M. D., Xu, P. P., Chen, W., Ni, Q. Q., Lu, G. M., & Zhang, L. J. (2020) · Radiology · doi:10.1148/radiol.2020200490 · Cited by 2,070
“Current reports show that chest CT may demonstrate pneumonia but multiple RT-PCR tests of nasopharyngeal or throat swabs test negative (12,53,70-71), and Fang et al.”
BackgroundCoronavirus Disease 2019–COVID-19
Dhama, K., Sharun, K., Tiwari, R., Sircar, S., Bhat, S., Malik, Y. S., Singh, K. P., Chaicumpa, W., Bonilla‐Aldana, D. K., & Rodriguez-Morales, A. J. (2020) · Clinical Microbiology Reviews · doi:10.1128/cmr.00028-20 · Cited by 1,982
“Those patients having COVID-19 pneumonia will exhibit the typical ground-glass opacity in their chest CT images (154).”
BackgroundMethodDiagnosing COVID-19: The Disease and Tools for Detection
Udugama, B. N., Kadhiresan, P., Kozlowski, H. N., Malekjahani, A., Osborne, M., Li, V. Y. C., Chen, H., Mubareka, S., Gubbay, J. B., & Chan, W. C. W. (2020) · ACS Nano · doi:10.1021/acsnano.0c02624 · Cited by 1,803
Molecular immune pathogenesis and diagnosis of COVID-19
Li, X., Geng, M., Peng, Y., Meng, L., & Lu, S. (2020) · Journal of Pharmaceutical Analysis · doi:10.1016/j.jpha.2020.03.001 · Cited by 1,776
A minimal common outcome measure set for COVID-19 clinical research
Marshall, J. C., Murthy, S., Diaz, J. V., Adhikari, N. K., Angus, D., Arabi, Y. M., Baillie, J. K., Bauer, M. W., Berry, S., Blackwood, B., et al. (2020) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(20)30483-7 · Cited by 1,625
Shi, F., Wang, J., Shi, J., Wu, Z., Wang, Q., Tang, Z., He, K., Shi, Y., & Shen, D. (2021) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2020.2987975 · Cited by 1,404
“Chest X-ray and CT are widely used in the screening and diagnosis of COVID-19 [6-11].”
BackgroundChest CT manifestations of new coronavirus disease 2019 (COVID-19): a pictorial review
Ye, Z., Zhang, Y., Wang, Y., Huang, Z., & Song, B. (2020) · European Radiology · doi:10.1007/s00330-020-06801-0 · Cited by 1,382
“In COVID-19 diagnosis, real-time reverse transcription polymerase chain reaction (RT-PCR) of viral nucleic acid is regarded as the reference standard; however, recent studies addressed the importance of chest computed tomography (CT) examination in COVID-19 patients with false negative RT-PCR results [4, 5] , and repo…”
BackgroundMethodPositive RT-PCR test results in patients recovered from COVID-19
Lan, L., Xu, D., Ye, G., Xia, C., Wang, S., Li, Y., & Xu, H. (2020) · JAMA · doi:10.1001/jama.2020.2783 · Cited by 1,251
CoroNet: A deep neural network for detection and diagnosis of COVID-19 from chest x-ray images
Khan, A. I., Shah, J. L., & Bhat, M. M. (2020) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2020.105581 · Cited by 1,351
Bai, H. X., Hsieh, B., Xiong, Z., Halsey, K., Choi, J. W., Tran, T. M. L., Pan, I., Shi, L.-B., Wang, D., Ji, M., et al. (2020) · Radiology · doi:10.1148/radiol.2020200823 · Cited by 1,254
“However, recent reports have revealed that RT-PCR has a sensitivity as low as 60-71% for detecting COVID-19 (5, 7, 8), which can possibly be attributed to low viral load present in test specimens or laboratory error (7, 9).”
BackgroundCOVID-19, SARS and MERS: are they closely related?
Petrosillo, N., Viceconte, G., Ergönül, Ö., Ippolito, G., & Petersen, E. (2020) · Clinical Microbiology and Infection · doi:10.1016/j.cmi.2020.03.026 · Cited by 1,136
Qiu, G., Gai, Z., Tao, Y., Schmitt, J., Kullak-Ublick, G. A., & Wang, J. (2020) · ACS Nano · doi:10.1021/acsnano.0c02439 · Cited by 1,059
“10 In addition, the current RT-PCR-based detection methods demand high manpower and long processing time, which may not be able to provide the capacity to test all the suspected cases during full-scale outbreaks.”
BackgroundThe epidemiology, diagnosis and treatment of COVID-19
Zhai, P., Ding, Y., Wu, X., Long, J., Zhong, Y., & Li, Y. (2020) · International Journal of Antimicrobial Agents · doi:10.1016/j.ijantimicag.2020.105955 · Cited by 1,040
Yang, W., Cao, Q., Qin, L., Wang, X., Cheng, Z., Pan, A., Dai, J., Sun, Q., Zhao, F., Qu, J., et al. (2020) · Journal of Infection · doi:10.1016/j.jinf.2020.02.016 · Cited by 1,003
Yang, Y., Islam, M. S., Wang, J., Li, Y., & Chen, X. (2020) · International Journal of Biological Sciences · doi:10.7150/ijbs.45538 · Cited by 975
Zhang, K., Liu, X., Shen, J., Li, Z., Sang, Y., Wu, X., Zha, Y., Liang, W., Wang, C., Wang, K., et al. (2020) · Cell · doi:10.1016/j.cell.2020.04.045 · Cited by 917
“Therefore, an accurate CT-based artificial intelligence (AI) system may have the potential to assist in the early diagnosis for planning, monitoring and treatment, and establishing the reference for longitudinal follow ups (Huang et al., 2020b; Xie et al., 2020).”
Deep Learning COVID-19 Features on CXR Using Limited Training Data Sets
Oh, Y., Park, S. J., & Ye, J. C. (2020) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2020.2993291 · Cited by 912
Artificial intelligence–enabled rapid diagnosis of patients with COVID-19
Mei, X., Lee, H.-C., Diao, K.-Y., Huang, M., Lin, B., Liu, C., Xie, Z., Ma, Y., Robson, P. M., Chung, M., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0931-3 · Cited by 1,084
“A recent study has also shown that CT may demonstrate lung abnormalities in the setting of a negative RT–PCR test 10 .”
Ardakani, A. A., Kanafi, A. R., Acharya, U. R., Khadem, N., & Mohammadi, A. (2020) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2020.103795 · Cited by 864
“[36] , Ai et al.”
Simpson, S. A., Kay, F. U., Abbara, S., Bhalla, S., Chung, J. H., Chung, M., Henry, T. S., Kanne, J. P., Kligerman, S. J., Ko, J. P., et al. (2020) · Journal of Thoracic Imaging · doi:10.1097/rti.0000000000000524 · Cited by 774
Simpson, S. A., Kay, F. U., Abbara, S., Bhalla, S., Chung, J. H., Chung, M., Henry, T. S., Kanne, J. P., Kligerman, S. J., Ko, J. P., et al. (2020) · Radiology Cardiothoracic Imaging · doi:10.1148/ryct.2020200152 · Cited by 764
Antibody tests for identification of current and past infection with SARS‐CoV‐2
Geppert, J., Scandrett, K., Bigio, J., Sulis, G., Hettiarachchi, D., Mathangasinghe, Y., Weeratunga, P., Wickramasinghe, D., Bergman, H., Buckley, S. B., et al. (2022) · LSTM Online Archive (Liverpool School of Tropical Medicine) · Cited by 837
Li, Y., Yao, L., Li, J., Chen, L., Song, Y., Cai, Z., & Yang, C. (2020) · Journal of Medical Virology · doi:10.1002/jmv.25786 · Cited by 687
“However, it was reported on February 12, 2020 that five infected patients had initial negative or weakly positive RT‐PCR results.(4) In another reported case, the third time RT‐PCR test result for pharyngeal swab specimen from an”
BackgroundFalse-negative results of initial RT-PCR assays for COVID-19: A systematic review
Arévalo-Rodríguez, I., Buitrago‐García, D., Simancas‐Racines, D., Zambrano-Achig, P., del Campo, R., Ciapponi, A., Sued, O. G., Martínez-García, L., Rutjes, A. W., Low, N. N., et al. (2020) · PLoS ONE · doi:10.1371/journal.pone.0242958 · Cited by 666
“We included five studies in qualitative and 198 quantitative synthesis [24-28] which included 957 patients.”
BackgroundMethodSingh, D., Kumar, V., Vaishali, & Kaur, M. (2020) · European Journal of Clinical Microbiology & Infectious Diseases · doi:10.1007/s10096-020-03901-z · Cited by 658
“[13] also reported that the 3% of 167 patients had negative RT-PCR for COVID-19 detection.”
BackgroundNovel Coronavirus (2019-nCoV) Infection in Humans: A Scoping Review and Meta-Analysis
do Nascimento, I. J. B., Bralić, N., Abdulazeem, H. M., von Groote, T., Jayarajah, U., Weerasekara, I., Esfahani, M. A., Civile, V. T., Marušić, A., Jerončić, A., et al. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9040941 · Cited by 654
Lippi, G., Šimundić, A.-M., & Plebani, M. (2020) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm-2020-0285 · Cited by 617
Classification of the COVID-19 infected patients using DenseNet201 based deep transfer learning
Jaiswal, A., Gianchandani, N., Singh, D., Kumar, V., & Kaur, M. (2020) · Journal of Biomolecular Structure and Dynamics · doi:10.1080/07391102.2020.1788642 · Cited by 632
“In contrast with it, radiological imaging techniques are used for diagnosis of SARS-CoV-2 by coalescing with infected person ’ s clinical symptoms, travel history, and laboratory findings (Xie et al., 2020).”
MethodHarmon, S. A., Sanford, T. H., Xu, S., Turkbey, E. B., Roth, H., Xu, Z., Yang, D., Myronenko, A., Anderson, V., Amalou, A., et al. (2020) · Nature Communications · doi:10.1038/s41467-020-17971-2 · Cited by 587
“Multiple studies have reported a high degree of sensitivity for chest CT in the diagnosis of COVID-19 pneumonia 7,9,13,14 .”
Liu, R., Han, H. W., Liu, F., Lv, Z., Wu, K., Liu, Y., Feng, Y., & Zhu, C. (2020) · Clinica Chimica Acta · doi:10.1016/j.cca.2020.03.009 · Cited by 623
“However, some investigators and clinical doctors argued that CT imaging should be served to identify the SARS-CoV-2 infection instead, since quite a bit cases showed progressive multiple peripheral ground-glass opacities in both lungs even the RT-PCR results were negative [1,2].”
BackgroundKim, H., Hong, H., & Yoon, S. H. (2020) · Radiology · doi:10.1148/radiol.2020201343 · Cited by 534
“All 63 studies investigating CT scans reported the diagnostic sensitivity of CT for COVID-19 (3-5, 15-74), while five of them also reported its specificity (3, 39, 43, 47, 50).”
BackgroundInfluentialMahmud, T., Rahman, M. A., & Fattah, S. A. (2020) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2020.103869 · Cited by 525
Xu, Y., Dong, J., An, W., Lv, X.-Y., Yin, X., Zhang, J., Dong, L., Ma, X., Zhang, H.-J., & Gao, B. (2020) · Journal of Infection · doi:10.1016/j.jinf.2020.02.017 · Cited by 511
The genetic sequence, origin, and diagnosis of SARS-CoV-2
Wang, H., Li, X., Li, T., Zhang, S., Wang, L., Wu, X. Z., & Liu, J. (2020) · European Journal of Clinical Microbiology & Infectious Diseases · doi:10.1007/s10096-020-03899-4 · Cited by 500
“Chest CT images of the early-stage COVID-19 patients showed unilateral or bilateral ground-glass opacity, which was similar to some nonCOVID-19 images of patients with the respiratory syncytial viral (RSV), mycoplasma, and parainfluenza virus, suggesting that chest CT scans cannot the identify COVID-19 patients and th…”
InfluentialSelf-citationZhang, C., Yan, K., Fu, C., Peng, H., Hawker, C. J., & Whittaker, A. K. (2022) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00632 · Cited by 493
A fully automatic deep learning system for COVID-19 diagnostic and prognostic analysis
Wang, S., Zha, Y., Li, W., Wu, Q., Li, X., Niu, M., Wang, M., Qiu, X., Li, H., He, Y., et al. (2020) · European Respiratory Journal · doi:10.1183/13993003.00775-2020 · Cited by 493
“However, the limited sensitivity of RT12 PCR and the shortage of testing kits in epidemic areas increase the screening burden, 13 and many infected people are thereby not isolated immediately [5, 6].”
BackgroundMethodLung Infection Quantification of COVID-19 in CT Images with Deep LearningPreprint
Shan, F., Gao, Y., Wang, J., Shi, W., Shi, N., Han, M., Xue, Z., Shen, D. G., & Shi, Y. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2003.04655 · Cited by 489
Clinical and CT Imaging Features of the COVID-19 Pneumonia: Focus on Pregnant Women and Children
Liu, H., Liu, F., Li, J., Zhang, T., Wang, D., & Lan, W. (2020) · Journal of Infection · doi:10.1016/j.jinf.2020.03.007 · Cited by 494
Xiong, Y., Sun, D., Liu, Y., Fan, Y., Zhao, L., Li, X., & Zhu, W. (2020) · Investigative Radiology · doi:10.1097/rli.0000000000000674 · Cited by 473
“At the time of data collection, nucleic acid tests for the diagnosis of COVID-19 had not yet been available for all the suspected patients, and the detection rate of real-time fluorescence polymerase chain reaction nucleic acid tests was not high.(12,13) Besides, we only included hospitalized patients with followup CT…”
MethodCoroDet: A deep learning based classification for COVID-19 detection using chest X-ray images
Hussain, E., Hasan, M., Rahman, A., Lee, I., Tamanna, T., & Parvez, M. Z. (2020) · Chaos Solitons & Fractals · doi:10.1016/j.chaos.2020.110495 · Cited by 474
Coronavirus disease 2019 (COVID-19) CT findings: A systematic review and meta-analysis
Bao, C., Liu, X., Zhang, H., Li, Y., & Liu, J. (2020) · Journal of the American College of Radiology · doi:10.1016/j.jacr.2020.03.006 · Cited by 446
“Some patients who had negative reverse-transcription polymerase chain reaction for COVID-19 at initial presentation may still show chest CT abnormalities [19].”
Epidemiology and clinical features of COVID-19: A review of current literature
Siordia, J. A. (2020) · Journal of Clinical Virology · doi:10.1016/j.jcv.2020.104357 · Cited by 440
“While its specificity is nearly 100 % from having no reported false positive cases or cross-reactivity with other viruses or estranged oligonucleotides [62] , the sensitivity is low at 64 % [36, 37, 63] .”
BackgroundChen, Z., Zhang, Z., Zhai, X.-M., Li, Y., Li, L., Zhao, H. J., Bian, L., Li, P., Yu, L., Wu, Y., et al. (2020) · Analytical Chemistry · doi:10.1021/acs.analchem.0c00784 · Cited by 429
Lippi, G., & Plebani, M. (2020) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm-2020-0240 · Cited by 431
Challenges in Laboratory Diagnosis of the Novel Coronavirus SARS-CoV-2
Younes, N., Al‐Sadeq, D. W., Al-Jighefee, H. T., Younes, S. N., Al-Jamal, O., Daas, H. I., Yassine, H. M., & Nasrallah, G. K. (2020) · Viruses · doi:10.3390/v12060582 · Cited by 449
The Role of Imaging in the Detection and Management of COVID-19: A Review
Dong, D., Tang, Z., Wang, S., Hui, H., Gong, L., Lu, Y., Xue, Z., Liao, H., Chen, F., Yang, F., et al. (2020) · IEEE Reviews in Biomedical Engineering · doi:10.1109/rbme.2020.2990959 · Cited by 412
“Thus, SARSCoV-2 infection cannot be entirely excluded, even if RT-PCR results from a suspected patient are negative [10]–[12].”
BackgroundDetection of IgM and IgG antibodies in patients with coronavirus disease 2019
Hou, H., Wang, T., Zhang, B., Luo, Y., Mao, L., Wang, F., Wu, S., & Sun, Z. (2020) · Clinical & Translational Immunology · doi:10.1002/cti2.1136 · Cited by 406
“[8] [9] [10] [11] Therefore, accurate, convenient and rapid methods are acutely needed for the diagnosis of COVID-19.”
MethodSelf-citationWeakly Supervised Deep Learning for COVID-19 Infection Detection and Classification From CT Images
Hu, S., Gao, Y., Niu, Z., Jiang, Y., Li, L., Xiao, X., Wang, M., Fang, E. F., Menpes-Smith, W., Xia, J., et al. (2020) · IEEE Access · doi:10.1109/access.2020.3005510 · Cited by 387
“The disease can be confirmed by using the reversetranscription polymerase chain reaction (RT-PCR) test [4].”
BackgroundCOVID-19: A Multidisciplinary Review
Chams, N., Chams, S., Badran, R., Shams, A., Araji, A., Raad, M., Mukhopadhyay, S., Stroberg, E., Duval, E. J., Barton, L. M., et al. (2020) · Frontiers in Public Health · doi:10.3389/fpubh.2020.00383 · Cited by 425
“There have been cases reported of patients presenting with classic computed tomography (CT) chest findings (bilateral peripheral distribution with multifocal lower lung involvement) combined with high clinical suspicion for SARS-CoV-2 infection who test negative on RT-PCR (67).”
BackgroundInfluentialDetection of COVID-19: A review of the current literature and future perspectives
Ji, T., Liu, Z., Wang, G., Guo, X., Khan, S. A., Lai, C., Chen, H., Huang, S., Xia, S., Chen, B., et al. (2020) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2020.112455 · Cited by 387
Li, D., Wang, D., Dong, J., Wang, N., Huang, H., Haiwang, X., & Chen, X. (2020) · Korean Journal of Radiology · doi:10.3348/kjr.2020.0146 · Cited by 372
“org underlying reasons for false-negative rRT-PCR results, a previous published study suggested that insufficient viral specimens and laboratory error might be responsible (3).”
BackgroundResultSerological immunochromatographic approach in diagnosis with SARS-CoV-2 infected COVID-19 patients
Pan, Y., Li, X., Yang, G., Fan, J., Tang, Y., Zhao, J., Long, X., Guo, S., Zhao, Z., Liu, Y., et al. (2020) · Journal of Infection · doi:10.1016/j.jinf.2020.03.051 · Cited by 370
Detection of COVID-19 Infection from Routine Blood Exams with Machine Learning: A Feasibility Study
Brinati, D., Campagner, A., Ferrari, D., Locatelli, M., Banfi, G., & Cabitza, F. (2020) · Journal of Medical Systems · doi:10.1007/s10916-020-01597-4 · Cited by 365
“As a result, some recent studies have reported up to 20% false-negative results for the rRt-PCR test [41, 24, 22], and a recent systematic review reported an average sensitivity of 92% and cautioned that “up to 29% of patients could have an initial RT-PCR false-negative result”.”
ResultCOVID-19 pneumonia: what has CT taught us?
Lee, E. Y. P., Ng, M., & Khong, P. (2020) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(20)30134-1 · Cited by 356
Automated Deep Transfer Learning-Based Approach for Detection of COVID-19 Infection in Chest X-rays
Das, N. N., Kumar, N., Kaur, M., Kumar, V., & Singh, D. (2020) · IRBM · doi:10.1016/j.irbm.2020.07.001 · Cited by 360
“However, RT-PCR kits are costly and take 6-9 hours to confirm infection in the patient [7].”
The role of imaging in 2019 novel coronavirus pneumonia (COVID-19)
Yang, W., Sirajuddin, A., Zhang, X., Liu, G., Teng, Z., Zhao, S., & Lu, M. (2020) · European Radiology · doi:10.1007/s00330-020-06827-4 · Cited by 358
“A combination of repeated swab tests and CT scanning may be helpful for individuals with high clinical suspicion of COVID19 but negative RT-PCR screening [28, 29].”
BackgroundIn Vitro Diagnostic Assays for COVID-19: Recent Advances and Emerging Trends
Vashist, S. K. (2020) · Diagnostics · doi:10.3390/diagnostics10040202 · Cited by 336
Toraman, S., Alakus, T. B., & Turkoglu, I. (2020) · Chaos, Solitons & Fractals · doi:10.1016/j.chaos.2020.110122 · Cited by 327
Impact of the COVID-19 Epidemic on Stroke Care and Potential Solutions
Zhao, J., Li, H., Kung, D. K., Fisher, M., Shen, Y., & Liu, R. (2020) · Stroke · doi:10.1161/strokeaha.120.030225 · Cited by 330
“A positive CT scan appears before symptoms in many cases and before a positive virology test in some patients.(11,12) The initial CT should include bilateral multilobar ground-glass opacification, mainly in the lower lobes, which is not included in the current routine practice for CT scan for patients with stroke.”
BackgroundGunraj, H., Wang, L., & Wong, A. M. (2020) · Frontiers in Medicine · doi:10.3389/fmed.2020.608525 · Cited by 347
Zhang, X., Cai, H. Q., Hu, J., Lian, J., Gu, J., Zhang, S., Ye, C., Lu, Y., Jin, C., Yu, G., et al. (2020) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2020.03.040 · Cited by 324
Rahimzadeh, M., Attar, A., & Sakhaei, S. M. (2021) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2021.102588 · Cited by 321
COVID-19 Transmission, Current Treatment, and Future Therapeutic Strategies
Salian, V. S., Wright, J. A., Vedell, P. T., Nair, S. A., Li, C., Kandimalla, M., Tang, X., Carmona, E. M., Kalari, K. R., & Kandimalla, K. K. (2021) · Molecular Pharmaceutics · doi:10.1021/acs.molpharmaceut.0c00608 · Cited by 343
COVID‐19 and the clinical hematology laboratory
Frater, J. L., Zini, G., d’Onofrio, G., & Rogers, H. J. (2020) · International Journal of Laboratory Hematology · doi:10.1111/ijlh.13229 · Cited by 321
FALSE-NEGATIVE RESULTS OF INITIAL RT-PCR ASSAYS FOR COVID-19: A SYSTEMATIC REVIEWPreprint
Arévalo-Rodríguez, I., Buitrago‐García, D., Simancas‐Racines, D., Zambrano-Achig, P., del Campo, R., Ciapponi, A., Sued, O. G., Martínez-García, L., Rutjes, A. W., Low, N. N., et al. (2020) · medRxiv · doi:10.1101/2020.04.16.20066787 · Cited by 319
Baker, A. N., Richards, S., Guy, C. S., Congdon, T. R., Hasan, M., Zwetsloot, A. J., Gallo, A., Lewandowski, J. R., Stansfeld, P. J., Straube, A., et al. (2020) · ACS Central Science · doi:10.1021/acscentsci.0c00855 · Cited by 302
A Review on Deep Learning Techniques for the Diagnosis of Novel Coronavirus (COVID-19)
Islam, M. M., Karray, F. O., Alhajj, R., & Zeng, J. (2021) · IEEE Access · doi:10.1109/access.2021.3058537 · Cited by 299
“Furthermore, RT-PCR inspection also experiences high false negative rates [7].”
BackgroundHecht, J. L., Quade, B. J., Deshpande, V., Mino-Kenudson, M. A., Ting, D. T., Desai, N., Dygulska, B., Heyman, T., Salafia, C. M., Shen, D., et al. (2020) · Modern Pathology · doi:10.1038/s41379-020-0639-4 · Cited by 297
“8 As the epidemic evolves, we are starting to observe the varied presentations of COVID-19 pneumonia, with symptomatic patients showing con cordant CT and RT-PCR fi ndings.”
BackgroundKim, C., Kim, J.-Y., Lee, E. J., Kang, Y. M., Song, K.-H., Kim, E. S., Kim, E. J., Sheen, S., Lee, Y. R., Kang, B., et al. (2022) · PLoS ONE · doi:10.1371/journal.pone.0264711 · Cited by 287
He, J., Luo, L., Luo, Z., Lyu, J., Ng, M., Shen, X., & Wen, Z. (2020) · Respiratory Medicine · doi:10.1016/j.rmed.2020.105980 · Cited by 281
Body Localization of ACE-2: On the Trail of the Keyhole of SARS-CoV-2
Salamanna, F., Maglio, M., Landini, M. P., & Fini, M. (2020) · Frontiers in Medicine · doi:10.3389/fmed.2020.594495 · Cited by 296
Federated learning for COVID-19 screening from Chest X-ray images
Feki, I., Ammar, S., Kessentini, Y., & Muhammad, K. (2021) · Applied Soft Computing · doi:10.1016/j.asoc.2021.107330 · Cited by 278
Routine blood tests as a potential diagnostic tool for COVID-19
Ferrari, D., Motta, A., Strollo, M., Banfi, G., & Locatelli, M. (2020) · Clinical Chemistry and Laboratory Medicine (CCLM) · doi:10.1515/cclm-2020-0398 · Cited by 273
Hosseini, E. S., Kashani, N. R., Nikzad, H., Azadbakht, J., Bafrani, H. H., & Kashani, H. H. (2020) · Virology · doi:10.1016/j.virol.2020.08.011 · Cited by 295
“Chest CT, Compared to RT-PCR, is a fast, sensitive, easy to perform and more accurate and reliable tool for screening and diagnosis of COVID-19 (Xie et al., 2020).”
Chest CT findings of COVID-19 pneumonia by duration of symptoms
Ding, X., Jia, X., Zhou, J., & Long, Q. (2020) · European Journal of Radiology · doi:10.1016/j.ejrad.2020.109009 · Cited by 270
“Reasons for false negative RT-PCR tests may include insufficient cellular material for detection and improper extraction of nucleic acid from clinical materials [5, 6].”
Perspectives on therapeutic neutralizing antibodies against the Novel Coronavirus SARS-CoV-2
Zhou, G., & Zhao, Q. (2020) · International Journal of Biological Sciences · doi:10.7150/ijbs.45123 · Cited by 266
“COVID-19 can be diagnosed by either clinical CT radiography or a laboratory real time Reverse Transcription-Polymerase Chain Reaction (RT-PCR) [4].”
BackgroundSerological Approaches for COVID-19: Epidemiologic Perspective on Surveillance and Control
Lee, C. Y., Lin, R. T. P., Rénia, L., & Ng, L. F. P. (2020) · Frontiers in Immunology · doi:10.3389/fimmu.2020.00879 · Cited by 262
“Apart from being costly and time consuming to perform, false negative results may arise due to improper handling of nucleic acid samples, inadequate and variable sampling resulting in insufficient viral genetic material at the point of detection (after 14 days pio), or biological variation on when viral RNA is detecta…”
BackgroundCOVID-19: Virology, biology and novel laboratory diagnosis
Mohamadian, M., Chiti, H., Shoghli, A., Biglari, S., Parsamanesh, N., & Esmaeilzadeh, A. (2021) · The Journal of Gene Medicine · doi:10.1002/jgm.3303 · Cited by 371
“Xie et al.(72) demonstrated that about 3% of patients have no”
BackgroundThe ensemble deep learning model for novel COVID-19 on CT images
Zhou, T., Lu, H., Yang, Z., Qiu, S., Huo, B., & Dong, Y. (2020) · Applied Soft Computing · doi:10.1016/j.asoc.2020.106885 · Cited by 255
“It can thus complement the nucleic acid reagent detection [7].”
Chest computed tomography in children with COVID-19 respiratory infection
Li, W., Cui, H., Li, K., Fang, Y., & Li, S. (2020) · Pediatric Radiology · doi:10.1007/s00247-020-04656-7 · Cited by 257
“It has been reported that the susceptible population to the virus is mainly older adults with low immunity, and there have been few reports of paediatric patients [7].”
BackgroundCOVID-19 in older people: a rapid clinical review
Lithander, F. E., Neumann, S., Tenison, E., Lloyd, K., Welsh, T. J., Rodrigues, J. C. L., Higgins, J. P. T., Scourfield, L., Christensen, H., Haunton, V. J., et al. (2020) · Age and Ageing · doi:10.1093/ageing/afaa093 · Cited by 251
“Initial PCR-negative suspected patients have subsequently become positive on repeat testing [42-45].”
BackgroundXiang, J., Yan, M., Li, H., Liu, T., Lin, C., Huang, S., & Shen, C. (2020) · medRxiv · doi:10.1101/2020.02.27.20028787 · Cited by 239
Deep Learning on Chest X-ray Images to Detect and Evaluate Pneumonia Cases at the Era of COVID-19
Hammoudi, K., Benhabiles, H., Melkemi, M., Dornaika, F., Arganda‐Carreras, I., Collard, D., & Scherpereel, A. (2021) · Journal of Medical Systems · doi:10.1007/s10916-021-01745-4 · Cited by 232
“To date (April 5th 2020), there have been 82,602 highly controversial confirmed cases in China, more than 500,000 confirmed cases in Europe and 1,226,644 confirmed cases all around the world 1 .”
BackgroundMethodInfluentialChest CT features of coronavirus disease 2019 (COVID-19) pneumonia: key points for radiologists
Carotti, M., Salaffi, F., Sarzi‐Puttini, P., Agostini, A., Borgheresi, A., Minorati, D., Galli, M., Marotto, D., & Giovagnoni, A. (2020) · La radiologia medica · doi:10.1007/s11547-020-01237-4 · Cited by 228
“The same authors also highlight the fact that follow-up chest CT scans were capable of detecting an improvement in the condition of 42% of patients before their RT-PCR findings were negative [17].”
BackgroundInfluentialOjha, V., Mani, A., Pandey, N. N., Sharma, S., & Kumar, S. (2020) · European Radiology · doi:10.1007/s00330-020-06975-7 · Cited by 227
“Xie et al [9] Feb-20 China 167 NP NP NP NP”
BackgroundInfluentialReview of COVID-19 testing and diagnostic methods
Filchakova, O., Dossym, D., Ilyas, A., Kuanysheva, T., Abdizhamil, A., & Bukasov, R. (2022) · Talanta · doi:10.1016/j.talanta.2022.123409 · Cited by 241
Effectiveness of COVID-19 diagnosis and management tools: A review
Alsharif, W. M., & Qurashi, A. A. (2020) · Radiography · doi:10.1016/j.radi.2020.09.010 · Cited by 242
Nicol, T., Lefeuvre, C., Serri, O., Pivert, A., Joubaud, F., Dubée, V., Kouatchet, A., Ducancelle, A., Lunel, F., & Guillou‐Guillemette, H. L. (2020) · Journal of Clinical Virology · doi:10.1016/j.jcv.2020.104511 · Cited by 218
“Chest computed tomography (CT) may be helpful for the diagnosis, complementary to RT-PCR, but it remains unspecific [7].”
Chest CT for detecting COVID-19: a systematic review and meta-analysis of diagnostic accuracy
Xu, B., Xing, Y., Peng, J., Zheng, Z., Tang, W., Sun, Y., Xu, C., & Peng, F. (2020) · European Radiology · doi:10.1007/s00330-020-06934-2 · Cited by 217
Shan, F., Gao, Y., Wang, J., Shi, W., Shi, N., Han, M., Xue, Z., Shen, D. G., & Shi, Y. (2020) · Medical Physics · doi:10.1002/mp.14609 · Cited by 802
“Each suspected case needs to be confirmed by real-time polymerase chain reaction (RT-PCR) assay of the sputum.(10)”
MethodDiagnosis of COVID-19 for controlling the pandemic: A review of the state-of-the-art
Taleghani, N., & Taghipour, F. (2020) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2020.112830 · Cited by 203
“This was found to be the case even for asymptomatic individuals or patients with initial negative RT-PCR but clinical symptoms, thus showing that CT scans have higher sensitivity compared with RT-PCR (Ai et al., 2020; Fang et al., 2020; Xie et al., 2020).”
BackgroundResultPulmonary embolism in patients with COVID-19: Time to change the paradigm of computed tomography
Rotzinger, D. C., Beigelman‐Aubry, C., von Garnier, C., & Qanadli, S. D. (2020) · Thrombosis Research · doi:10.1016/j.thromres.2020.04.011 · Cited by 199
“To date, most, if not all the available literature regarding SARS-CoV-2 infection relies on non-contrast CT, which is considered the first-line imaging tool [1] and has even proven useful to diagnose COVID-19 pneumonia when initial polymerase chain reaction screening is negative [2].”
BackgroundGuillain-Barré syndrome following COVID-19: new infection, old complication?
Padroni, M., Mastrangelo, V., Asioli, G. M., Pavolucci, L., Abu‐Rumeileh, S., Piscaglia, M. G., Querzani, P., Callegarini, C., & Foschi, M. (2020) · Journal of Neurology · doi:10.1007/s00415-020-09849-6 · Cited by 199
“However, we could not rule out with certainty a COVID-19 parainfectious neurological syndrome, given the reported suboptimal sensitivity of the RT-PCR for swab due to laboratory error or insufficient viral material in the specimen [7].”
BackgroundLeong, S. X., Leong, Y. X., Tan, E. X., Sim, H. Y. F., Koh, C. S. L., Lee, Y. H., Chong, C., Ng, L. S., Chen, J. R. T., Pang, D. W. C., et al. (2022) · ACS Nano · doi:10.1021/acsnano.1c09371 · Cited by 203
Chu, J., Yang, N., Wei, Y., Yue, H., Zhang, F., Zhao, J., He, L., Sheng, G., Chen, P., Li, G., et al. (2020) · Journal of Medical Virology · doi:10.1002/jmv.25793 · Cited by 194
Metadata
- Authors
- Xie, X., Zhong, Z., Zhao, W., Zheng, C., Wang, F., & Liu, J.
- Affiliations
- Central South University (CN)
- Corresponding author
- Liu, Jun
- Venue
- Radiology
- Published
- 2020-08
- Volume
- 296
- Issue
- 2
- Pages
- E41-E45
- ISSN
- 0033-8419 (ISSN-L)
- 1527-1315
- PMC
- PMC7233363
- OpenAlex
- W3006110666
- Cited by
- 1,960
- References
- 6
- Citations by year
- 2026: 16 · 2025: 24 · 2024: 75 · 2023: 136 · 2022: 282 · 2021: 575 · 2020: 850
- FWCI
- 60.46
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- Radiology (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › COVID-19 diagnosis using AI
- Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 detection and testing
- Keywords
- COVID-19 pandemic, COVID-19 pneumonia, chest CT findings, ground-glass opacities, delayed diagnosis
- MeSH terms
- Betacoronavirus, COVID-19, SARS-CoV-2, COVID-19 Vaccines, COVID-19 Testing, Adult, Aged, False Negative Reactions, Female, Humans, Male, Middle Aged, Pneumonia, Viral, Radiographic Image Interpretation, Computer-Assisted, Tomography, X-Ray Computed, Reproducibility of Results, Coronavirus Infections, Clinical Laboratory Techniques, Reverse Transcriptase Polymerase Chain Reaction, Pandemics
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