CT Imaging Features of 2019 Novel Coronavirus (2019-nCoV)
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In this retrospective case series, chest CT scans of 21 symptomatic patients from China infected with the 2019 novel coronavirus (2019-nCoV) were reviewed, with emphasis on identifying and characterizing the most common findings. Typical CT findings included bilateral pulmonary parenchymal ground-glass and consolidative pulmonary opacities, sometimes with a rounded morphology and a peripheral lung distribution. Notably, lung cavitation, discrete pulmonary nodules, pleural effusions, and lymphadenopathy were absent. Follow-up imaging in a subset of patients during the study time window often demonstrated mild or moderate progression of disease, as manifested by increasing extent and density of lung opacities.
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A number of clinical symptoms are observed in COVID-19 patients hospitalized with Acute Kidney Injury (AKI).
“A number of clinical symptoms are observed in COVID- 19 patients hospitalized with Acute Kidney Injury (AKI) [83–86].”
From A comprehensive survey on federated learning techniques for healthcare informatics (2023) · cites this paper as [84]
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Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China
Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Hu, Y., Zhang, L., Fan, G., Xu, J., Gu, X., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30183-5 · Cited by 48,884 · see citing works
Fleischner Society: Glossary of Terms for Thoracic Imaging
Hansell, D. M., Bankier, A. A., MacMahon, H., McLoud, T. C., Müller, N. L., & Rémy, J. (2008) · Radiology · doi:10.1148/radiol.2462070712 · Cited by 4,189 · see citing works
Radiographic and CT Features of Viral Pneumonia
Koo, H. J., Lim, S., Choe, J., Choi, S., Sung, H., & Do, K. (2018) · Radiographics · doi:10.1148/rg.2018170048 · Cited by 712 · see citing works
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 · see citing works
Wong, K. T., Antonio, G. E., Hui, D. S. C., Lee, N. L. S., Yuen, E. H. Y., Wu, A. K. L., Leung, C. B., Rainer, T. H., Cameron, P. A., Chung, S. S. C., et al. (2003) · Radiology · doi:10.1148/radiol.2282030593 · Cited by 289 · see citing works
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 · see citing works
Paul, N. S., Roberts, H. C., BUTANY, J. W., Chung, T., Gold, W. L., Mehta, S., Konen, E., Rao, A., Provost, Y. L., Hong, H., et al. (2004) · Radiographics · doi:10.1148/rg.242035193 · Cited by 98 · see citing works
Choi, W. J., Lee, K. N., Kang, E., & Lee, H. (2016) · Korean Journal of Radiology · doi:10.3348/kjr.2016.17.1.166 · Cited by 45 · see citing works
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Lai, C.-C., Shih, T.-P., Ko, W.-C., Tang, H.-J., & Hsueh, P.-R. (2020) · International Journal of Antimicrobial Agents · doi:10.1016/j.ijantimicag.2020.105924 · Cited by 6,068 · see citing works
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 5,697 · see citing works
Guo (2020) · doi:10.1186/s40779-020-00240-0 · Cited by 4,735 · see citing works
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 · see citing works
Wang, L., Lin, Z. Q., & Wong, A. M. (2020) · Scientific Reports · doi:10.1038/s41598-020-76550-z · Cited by 3,151 · see citing works
Time Course of Lung Changes at Chest CT during Recovery from Coronavirus Disease 2019 (COVID-19)
Pan, F., Ye, T., Sun, P., Gui, S., Liang, B., Li, L., Zheng, D., Wang, J., Hesketh, R. L., Yang, L., et al. (2020) · Radiology · doi:10.1148/radiol.2020200370 · Cited by 2,862 · see citing works
Chest 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 2,658 · see citing works
Self-citationClinical, laboratory and imaging features of COVID-19: A systematic review and meta-analysis
Rodriguez-Morales, A. J., Cardona-Ospina, J. A., Gutiérrez-Ocampo, E., Villamizar-Peña, R., Holguin-Rivera, Y., Escalera-Antezana, J. P., Alvarado-Arnez, L. E., Bonilla-Aldana, D. K., Franco-Paredes, C., Henao-Martinez, A. F., et al. (2020) · Travel Medicine and Infectious Disease · doi:10.1016/j.tmaid.2020.101623 · Cited by 2,542 · see citing works
Coronavirus 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 · see citing works
Xie, X., Zhong, Z., Zhao, W., Zheng, C., Wang, F., & Liu, J. (2020) · Radiology · doi:10.1148/radiol.2020200343 · Cited by 1,960 · see citing works
Li, L., Qin, L., Xu, Z., Yin, Y., Wang, X., Kong, B., Bai, J., Lu, Y., Fang, Z., Song, Q., et al. (2020) · Radiology · doi:10.1148/radiol.2020200905 · Cited by 1,927 · see citing works
Can AI help in screening viral and COVID-19 pneumonia?
Chowdhury, M. E. H., Rahman, T., Khandakar, A., Mazhar, R., Kadir, M. A., Mahbub, Z. B., Islam, K. R., Khan, M. S., Iqbal, A., Emadi, N. A., et al. (2020) · IEEE Access · doi:10.1109/access.2020.3010287 · Cited by 1,913 · see citing works
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 1,723 · see citing works
A deep learning algorithm using CT images to screen for Corona virus disease (COVID-19)
Wang, S., Kang, B., Ma, J., Zeng, X., Xiao, M., Guo, J., Cai, M., Yang, J., Li, Y., Meng, X., et al. (2021) · European Radiology · doi:10.1007/s00330-021-07715-1 · Cited by 1,668 · see citing works
Self-citationCoronavirus Disease 2019 (COVID-19): A Systematic Review of Imaging Findings in 919 Patients
Salehi, S., Abedi, A., Balakrishnan, S., & Gholamrezanezhad, A. (2020) · American Journal of Roentgenology · doi:10.2214/ajr.20.23034 · Cited by 1,600 · see citing works
Frequency and Distribution of Chest Radiographic Findings in Patients Positive for COVID-19
Wong, H. Y. F., Lam, H. Y. S., Fong, A. H.-T., Leung, S. T., Chin, T. W.-Y., Lo, C. S.-Y., Lui, M. M., Lee, J. C. Y., Chiu, K. W.-H., Chung, T. W., et al. (2020) · Radiology · doi:10.1148/radiol.2020201160 · Cited by 1,485 · see citing works
Coronavirus disease 2019 (COVID-19): A literature review
Harapan, H., Itoh, N., Yufika, A., Winardi, W., Keam, S., Te, H., Megawati, D., Hayati, Z., Wagner, A. L., & Mudatsir, M. (2020) · Journal of Infection and Public Health · doi:10.1016/j.jiph.2020.03.019 · Cited by 1,432 · see citing works
The SARS-CoV-2 outbreak: What we know
Wu, D., Wu, T., Liu, Q., & Yang, Z. (2020) · International Journal of Infectious Diseases · doi:10.1016/j.ijid.2020.03.004 · Cited by 1,424 · see citing works
Chest 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 1,349 · see citing works
Coronavirus Disease 2019 (COVID-19): Role of Chest CT in Diagnosis and Management
Li, Y., & Xia, L. (2020) · American Journal of Roentgenology · doi:10.2214/ajr.20.22954 · Cited by 1,292 · see citing works
The Clinical and Chest CT Features Associated With Severe and Critical COVID-19 Pneumonia
Li, K., Wu, J., Wu, F., Guo, D., Chen, L., Zheng, F., & Li, C. (2020) · Investigative Radiology · doi:10.1097/rli.0000000000000672 · Cited by 1,275 · see citing works
Self-citationA Weakly-Supervised Framework for COVID-19 Classification and Lesion Localization From Chest CT
Zheng, C., Deng, X., Fu, Q., Zhou, Q., Feng, J., Ma, H., Liu, W., & Wang, X. (2020) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2020.2995965 · Cited by 1,237 · see citing works
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 1,232 · see citing works
Self-citationA Deep Learning System to Screen Novel Coronavirus Disease 2019 Pneumonia
Xu, X., Jiang, X., Ma, C., Du, P., Li, X., Lv, S., Yu, L., Ni, Q., Chen, Y., Su, J., et al. (2020) · Engineering · doi:10.1016/j.eng.2020.04.010 · Cited by 1,209 · see citing works
COVIDX-Net: A Framework of Deep Learning Classifiers to Diagnose COVID-19 in X-Ray ImagesPreprint
Hemdan, E. E., Shouman, M. A., & Karar, M. E. (2020) · arXiv (Cornell University) · doi:10.48550/arxiv.2003.11055 · Cited by 1,181 · see citing works
Coronavirus disease 2019 (COVID-19): current status and future perspectives
Li, H., Liu, S., Yu, X.-H., Tang, S., & Tang, C. (2020) · International Journal of Antimicrobial Agents · doi:10.1016/j.ijantimicag.2020.105951 · Cited by 1,174 · see citing works
Imaging Profile of the COVID-19 Infection: Radiologic Findings and Literature Review
Ng, M., Lee, E. Y. P., Jin, Y., Yang, F., Li, X., Wang, H., Lui, M. M., Lo, C. S.-Y., Leung, B., Khong, P., et al. (2020) · Radiology Cardiothoracic Imaging · doi:10.1148/ryct.2020200034 · Cited by 1,141 · see citing works
Fu, L., Wang, B., Yuan, T., Chen, X., Ao, Y., Fitzpatrick, T., Li, P., Zhou, Y., Lin, Y., Duan, Q., et al. (2020) · Journal of Infection · doi:10.1016/j.jinf.2020.03.041 · Cited by 1,109 · see citing works
COVID-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 1,103 · see citing works
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 · see citing works
Self-citationThe 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 1,021 · see citing works
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 994 · see citing works
Syrian hamsters as a small animal model for SARS-CoV-2 infection and countermeasure development
Imai, M., Iwatsuki‐Horimoto, K., Hatta, M., Loeber, S. J., Halfmann, P., Nakajima, N., Watanabe, T., Ujie, M., Takahashi, K., Ito, M., et al. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2009799117 · Cited by 977 · see citing works
Diagnosis of the Coronavirus disease (COVID-19): rRT-PCR or CT?
Long, C.-Q., Xu, H., Shen, Q., Zhang, X., Fan, B., Wang, C., Zeng, B., Li, Z., Li, X., & Li, H. (2020) · European Journal of Radiology · doi:10.1016/j.ejrad.2020.108961 · Cited by 964 · see citing works
Lai, C.-C., Liu, Y. H., Wang, C., Wang, Y.-H., Hsueh, S.-C., Yen, M.-Y., Ko, W., & Hsueh, P. (2020) · Journal of Microbiology Immunology and Infection · doi:10.1016/j.jmii.2020.02.012 · Cited by 943 · see citing works
Zhao, Y., Shang, Y., Song, W., Li, Q.-Q., Xie, H.-T., Xu, Q.-F., Jia, J., Li, L., Mao, H.-L., Zhou, X.-M., et al. (2020) · EClinicalMedicine · doi:10.1016/j.eclinm.2020.100463 · Cited by 935 · see citing works
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 848 · see citing works
Predictors of COVID ‐19 severity: A literature review
Marin, B. G., Aghagoli, G., Lavine, K., Yang, L. Z., Siff, E. J., Chiang, S. S., Salazar‐Mather, T. P., Dumenco, L. L., Savaria, M. C., Aung, S., et al. (2020) · Reviews in Medical Virology · doi:10.1002/rmv.2146 · Cited by 827 · see citing works
Smell dysfunction: a biomarker for COVID‐19
Moein, S. T., Hashemian, S. M. R., Mansourafshar, B., Khorram‐Tousi, A., Tabarsi, P., & Doty, R. L. (2020) · International Forum of Allergy & Rhinology · doi:10.1002/alr.22587 · Cited by 793 · see citing works
Imaging and clinical features of patients with 2019 novel coronavirus SARS-CoV-2
Xu, X. Z., Yu, C., Qu, J. T., Zhang, L., Jiang, S., Huang, D., Chen, B., Zhang, Z., Guan, W., Ling, Z., et al. (2020) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-020-04735-9 · Cited by 790 · see citing works
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 · see citing works
Self-citationSimpson, 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 · see citing works
Self-citationCT Features of Coronavirus Disease 2019 (COVID-19) Pneumonia in 62 Patients in Wuhan, China
Zhou, S., Wang, Y., Zhu, T., & Xia, L. (2020) · American Journal of Roentgenology · doi:10.2214/ajr.20.22975 · Cited by 749 · see citing works
Origin, transmission, diagnosis and management of coronavirus disease 2019 (COVID-19)
Umakanthan, S., Sahu, P. K., Ranade, A. V., Bukelo, M. M., Rao, J. S., Abrahão‐Machado, L. F., Dahal, S., Kumar, H. D. V., & Kv, D. (2020) · Postgraduate Medical Journal · doi:10.1136/postgradmedj-2020-138234 · Cited by 737 · see citing works
Essentials for Radiologists on COVID-19: An Update—Radiology Scientific Expert Panel
Kanne, J. P., Little, B. P., Chung, J. H., Elicker, B. M., & Ketai, L. H. (2020) · Radiology · doi:10.1148/radiol.2020200527 · Cited by 727 · see citing works
Detection of Coronavirus Disease (COVID-19) Based on Deep FeaturesPreprint
Sethy, P. K., & Behera, S. K. (2020) · Preprints.org · doi:10.20944/preprints202003.0300.v1 · Cited by 723 · see citing works
Li, J., Huang, D. Q., Zou, B., Yang, H., Hui, W. Z., Rui, F., Yee, N. T. S., Liu, C., Nerurkar, S. N., Kai, J. C. Y., et al. (2020) · Journal of Medical Virology · doi:10.1002/jmv.26424 · Cited by 722 · see citing works
Li, K., Fang, Y., Li, W., Pan, C., Qin, P., Zhong, Y., Liu, X., Huang, M., Liao, Y., & Li, S. (2020) · European Radiology · doi:10.1007/s00330-020-06817-6 · Cited by 721 · see citing works
Self-citationHelmy, Y. A., Fawzy, M., Elaswad, A., Sobieh, A., Kenney, S. P., & Shehata, A. A. (2020) · Journal of Clinical Medicine · doi:10.3390/jcm9041225 · Cited by 687 · see citing works
A Review of SARS-CoV-2 and the Ongoing Clinical Trials
Tu, Y. F., Chien, C., Yarmishyn, A. A., Lin, Y., Luo, Y., Lin, Y.-T., Lai, W.-Y., Yang, D., Chou, S., Yang, Y., et al. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21072657 · Cited by 686 · see citing works
Self-citationChest CT Severity Score: An Imaging Tool for Assessing Severe COVID-19
Yang, R., Li, X., Liu, H., Zhen, Y., Zhang, X., Xiong, Q., Luo, Y., Gao, C., & Zeng, W. (2020) · Radiology Cardiothoracic Imaging · doi:10.1148/ryct.2020200047 · Cited by 684 · see citing works
C-reactive protein levels in the early stage of COVID-19
Wang, L. (2020) · Médecine et Maladies Infectieuses · doi:10.1016/j.medmal.2020.03.007 · Cited by 684 · see citing works
Acute respiratory failure in COVID-19: is it “typical” ARDS?
Xu, L., & Ma, X. (2020) · Critical Care · doi:10.1186/s13054-020-02911-9 · Cited by 676 · see citing works
The epidemiology and clinical information about COVID-19
Ge, H., Wang, X., Yuan, X., Xiao, G., Wang, C., Deng, T., Yuan, Q., & Xiao, X. (2020) · European Journal of Clinical Microbiology & Infectious Diseases · doi:10.1007/s10096-020-03874-z · Cited by 674 · see citing works
Kanne, J. P. (2020) · Radiology · doi:10.1148/radiol.2020200241 · Cited by 657 · see citing works
SARS-CoV-2 Omicron virus causes attenuated disease in mice and hamsters
Halfmann, P., Iida, S., Iwatsuki‐Horimoto, K., Maemura, T., Kiso, M., Scheaffer, S. M., Darling, T. L., Joshi, A., Loeber, S. J., Singh, G., et al. (2022) · Nature · doi:10.1038/s41586-022-04441-6 · Cited by 654 · see citing works
Grant, M. C., Geoghegan, L., Arbyn, M., Mohammed, Z., McGuinness, L. A., Clarke, E. L., & Wade, R. G. (2020) · PLoS ONE · doi:10.1371/journal.pone.0234765 · Cited by 652 · see citing works
Singh, D., Kumar, V., Vaishali, & Kaur, M. (2020) · European Journal of Clinical Microbiology & Infectious Diseases · doi:10.1007/s10096-020-03901-z · Cited by 647 · see citing works
Novel 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 639 · see citing works
Yoon, S. H., Lee, K. H., Kim, J. Y., Lee, Y. K., Ko, H., Kim, K. H., Park, C. M., & Kim, Y. (2020) · Korean Journal of Radiology · doi:10.3348/kjr.2020.0132 · Cited by 631 · see citing works
Wu, J., Liu, J., Zhao, X., Liu, C., Wang, W., Wang, D., Xu, W., Zhang, C., Yu, J., Jiang, B., et al. (2020) · Clinical Infectious Diseases · doi:10.1093/cid/ciaa199 · Cited by 628 · see citing works
Self-citationClinical characteristics of 3062 COVID‐19 patients: A meta‐analysis
Zhu, J., Ji, P., Pang, J., Zhong, Z., Li, H., He, C., Zhang, J., & Zhao, C. (2020) · Journal of Medical Virology · doi:10.1002/jmv.25884 · Cited by 622 · see citing works
Chest CT Features of COVID-19 in Rome, Italy
Caruso, D., Zerunian, M., Polici, M., Pucciarelli, F., Polidori, T., Rucci, C., Guido, G., Bracci, B., Dominicis, C. D., & Laghi, A. (2020) · Radiology · doi:10.1148/radiol.2020201237 · Cited by 609 · see citing works
Enhanced fusogenicity and pathogenicity of SARS-CoV-2 Delta P681R mutation
Saito, A., Irie, T., Suzuki, R., Maemura, T., Nasser, H., Uriu, K., Kosugi, Y., Shirakawa, K., Sadamasu, K., Kimura, I., et al. (2021) · Nature · doi:10.1038/s41586-021-04266-9 · Cited by 600 · see citing works
Diagnostic Testing for Severe Acute Respiratory Syndrome–Related Coronavirus 2
Cheng, M. P., Papenburg, J., Desjardins, M., Kanjilal, S., Quach, C., Libman, M., Dittrich, S., & Yansouni, C. P. (2020) · Annals of Internal Medicine · doi:10.7326/m20-1301 · Cited by 594 · see citing works
Portable chest X-ray in coronavirus disease-19 (COVID-19): A pictorial review
Jacobi, A., Chung, M., Bernheim, A., & Eber, C. D. (2020) · Clinical Imaging · doi:10.1016/j.clinimag.2020.04.001 · Cited by 583 · see citing works
Self-citationImpact of coronavirus disease 2019 on pulmonary function in early convalescence phase
Huang, Y., Tan, C., Wu, J., Chen, M., Wang, Z., Luo, L., Zhou, X., Liu, X., Huang, X., Yuan, S., et al. (2020) · Respiratory Research · doi:10.1186/s12931-020-01429-6 · Cited by 570 · see citing works
Self-citationAI-assisted CT imaging analysis for COVID-19 screening: Building and deploying a medical AI system
Wang, B., Jin, S., Yan, Q., Xu, H., Luo, C. W., Wei, L., Zhao, W. Z., Hou, X., Ma, W., Xu, Z., et al. (2020) · Applied Soft Computing · doi:10.1016/j.asoc.2020.106897 · Cited by 539 · see citing works
Self-citationKim, H., Hong, H., & Yoon, S. H. (2020) · Radiology · doi:10.1148/radiol.2020201343 · Cited by 534 · see citing works
Mahmud, T., Rahman, M. A., & Fattah, S. A. (2020) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2020.103869 · Cited by 525 · see citing works
Deep learning based detection and analysis of COVID-19 on chest X-ray images
Jain, R., Gupta, M., Taneja, S., & Hemanth, D. J. (2020) · Applied Intelligence · doi:10.1007/s10489-020-01902-1 · Cited by 523 · see citing works
JCS: An Explainable COVID-19 Diagnosis System by Joint Classification and Segmentation
Wu, Y.-H., Gao, S.-H., Mei, J., Xu, J., Fan, D.-P., Zhang, R.-G., & Cheng, M.-M. (2021) · IEEE Transactions on Image Processing · doi:10.1109/tip.2021.3058783 · Cited by 506 · see citing works
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 503 · see citing works
Deng, L., Li, C., Zeng, Q., Liu, X., Li, X., Zhang, H., Hong, Z., & Xia, J. (2020) · Journal of Infection · doi:10.1016/j.jinf.2020.03.002 · Cited by 502 · see citing works
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 484 · see citing works
Vuorinen, V., Aarnio, M., Alava, M., Alopaeus, V., Atanasova, N., Auvinen, M., Balasubramanian, N., Bordbar, H., Erästö, P., Grande, R., et al. (2020) · Safety Science · doi:10.1016/j.ssci.2020.104866 · Cited by 472 · see citing works
COVID-19: Discovery, diagnostics and drug development
Asselah, T., Durantel, D., Pasmant, É., Lau, G. K. K., & Schinazi, R. F. (2020) · Journal of Hepatology · doi:10.1016/j.jhep.2020.09.031 · Cited by 459 · see citing works
Hosseiny, M., Kooraki, S., Gholamrezanezhad, A., Reddy, S., & Myers, L. (2020) · American Journal of Roentgenology · doi:10.2214/ajr.20.22969 · Cited by 458 · see citing works
COVID-19 pulmonary pathology: a multi-institutional autopsy cohort from Italy and New York City
Borczuk, A. C., Salvatore, S. P., Seshan, S. V., Patel, S. S., Bussel, J. B., Mostyka, M., Elsoukkary, S., He, B., Del Vecchio, C., Fortarezza, F., et al. (2020) · Modern Pathology · doi:10.1038/s41379-020-00661-1 · Cited by 452 · see citing works
Deng, Q., Hu, B., Zhang, Y., Wang, H., Zhou, X., Hu, W., Cheng, Y., Yan, J., Ping, H., & Zhou, Q. T. (2020) · International Journal of Cardiology · doi:10.1016/j.ijcard.2020.03.087 · Cited by 451 · see citing works
COVID-19 and multiorgan failure: A narrative review on potential mechanisms
Mokhtari, T., Hassani, F., Ghaffari, N., Ebrahimi, B., Yarahmadi, A., & Hassanzadeh, G. (2020) · Journal of Molecular Histology · doi:10.1007/s10735-020-09915-3 · Cited by 440 · see citing works
Chest CT Findings in Cases from the Cruise Ship Diamond Princess with Coronavirus Disease (COVID-19)
Inui, S., Fujikawa, A., Jitsu, M., Kunishima, N., Watanabe, S., Suzuki, Y., Umeda, S., & Uwabe, Y. (2020) · Radiology Cardiothoracic Imaging · doi:10.1148/ryct.2020200110 · Cited by 438 · see citing works
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 426 · see citing works
Chest Imaging Appearance of COVID-19 Infection
Kong, W., & Agarwal, P. (2020) · Radiology Cardiothoracic Imaging · doi:10.1148/ryct.2020200028 · Cited by 417 · see citing works
Ding, Q., Lu, P., Fan, Y., Xia, Y., & Liu, M. (2020) · Journal of Medical Virology · doi:10.1002/jmv.25781 · Cited by 409 · see citing works
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 404 · see citing works
Cao, W., Liu, X., Bai, T., Fan, H., Hong, K., Song, H., Han, Y., Lin, L., Ruan, L., & Li, T. (2020) · Open Forum Infectious Diseases · doi:10.1093/ofid/ofaa102 · Cited by 403 · see citing works
Early Clinical and CT Manifestations of Coronavirus Disease 2019 (COVID-19) Pneumonia
Han, R., Huang, L., Jiang, H. X., Dong, J., Peng, H., & Zhang, D. (2020) · American Journal of Roentgenology · doi:10.2214/ajr.20.22961 · Cited by 389 · see citing works
Nayak, S. R., Nayak, D. R., Sinha, U., Arora, V., & Pachori, R. B. (2020) · Biomedical Signal Processing and Control · doi:10.1016/j.bspc.2020.102365 · Cited by 389 · see citing works
Buja, L. M., Wolf, D. A., Zhao, B., Akkanti, B. H., McDonald, M. M., Lelenwa, L. C., Reilly, N., Giulia Ottaviani, M., Elghetany, M. T., Trujillo, D. O., et al. (2020) · Cardiovascular Pathology · doi:10.1016/j.carpath.2020.107233 · Cited by 387 · see citing works
Deep transfer learning-based automated detection of COVID-19 from lung CT scan slices
Ahuja, S., Panigrahi, B. K., Dey, N., Gandhi, T. K., Rajinikanth, V., & Gandhi, T. K. (2020) · Applied Intelligence · doi:10.1007/s10489-020-01826-w · Cited by 382 · see citing works
Bhattacharya, M., Sharma, A. R., Patra, P., Ghosh, P., Sharma, G., Patra, B. C., Lee, S., & Chakraborty, C. (2020) · Journal of Medical Virology · doi:10.1002/jmv.25736 · Cited by 381 · see citing works
Shi, F., Xia, L., Shan, F., Song, B., Wu, D., Wei, Y., Yuan, H., Jiang, H., He, Y., Gao, Y., et al. (2021) · Physics in Medicine and Biology · doi:10.1088/1361-6560/abe838 · Cited by 379 · see citing works
Dual-Sampling Attention Network for Diagnosis of COVID-19 From Community Acquired Pneumonia
Ouyang, X., Huo, J., Xia, L., Shan, F., Liu, J., Mo, Z., Yan, F., Ding, Z., Yang, Q., Song, B., et al. (2020) · IEEE Transactions on Medical Imaging · doi:10.1109/tmi.2020.2995508 · Cited by 376 · see citing works
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 366 · see citing works
Alimohamadi, Y., Sepandi, M., Taghdir, M., & Hosamirudsari, H. (2020) · Journal of preventive medicine and hygiene · doi:10.15167/2421-4248/jpmh2020.61.3.1530 · Cited by 358 · see citing works
COVID-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 · see citing works
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 346 · see citing works
Cao, Y., Liu, X., Xiong, L., & Cai, K. (2020) · Journal of Medical Virology · doi:10.1002/jmv.25822 · Cited by 343 · see citing works
Gunraj, H., Wang, L., & Wong, A. M. (2020) · Frontiers in Medicine · doi:10.3389/fmed.2020.608525 · Cited by 336 · see citing works
- Authors
- Chung, M., Bernheim, A., Mei, X., Zhang, N., Huang, M., Zeng, X., Cui, J., Xu, W., Yang, Y., Fayad, Z. A., Jacobi, A., Li, K., Li, S., & Shan, H.
- Affiliations
- Affiliated Hospital of Qingdao University (CN)
- Sun Yat-sen University (CN)
- Corresponding author
- Shan, Hong
- ORCID
- Venue
- Radiology
- Published
- 2020-04
- Volume
- 295
- Issue
- 1
- Pages
- 202-207
- ISSN
- 0033-8419 (ISSN-L)
- 1527-1315
- PMC
- PMC7194022
- OpenAlex
- W3004906315
- Cited by
- 2,751
- References
- 8
- Citations by year
- 2026: 15 · 2025: 48 · 2024: 117 · 2023: 217 · 2022: 412 · 2021: 776 · 2020: 1162 · 2019: 1
- FWCI
- 83.76
- 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 and COVID-19 Research
- Keywords
- SARS-CoV-2, COVID-19 pandemic, chest CT findings, ground-glass opacities, lung consolidation, lung opacity, disease progression, pulmonary nodules, pleural effusion, lymphadenopathy, lung cavitation
- MeSH terms
- Betacoronavirus, COVID-19, SARS-CoV-2, COVID-19 Testing, Adult, Aged, Female, Humans, Lung, Male, Middle Aged, Pneumonia, Viral, Retrospective Studies, Tomography, X-Ray Computed, Coronavirus Infections, Disease Progression, Clinical Laboratory Techniques, Severe Acute Respiratory Syndrome
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