Radiological findings from 81 patients with COVID-19 pneumonia in Wuhan, China: a descriptive study
Open accessAbstract
Background A cluster of patients with coronavirus disease 2019 (COVID-19) pneumonia caused by infection with severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) were successively reported in Wuhan, China. We aimed to describe the CT findings across different timepoints throughout the disease course.Methods Patients with COVID-19 pneumonia (confirmed by next-generation sequencing or RT-PCR) who were admitted to one of two hospitals in Wuhan and who underwent serial chest CT scans were retrospectively enrolled. Patients were grouped on the basis of the interval between symptom onset and the first CT scan: group 1 (subclinical patients; scans done before symptom onset), group 2 (scans done ≤1 week after symptom onset), group 3 (>1 week to 2 weeks), and group 4 (>2 weeks to 3 weeks). Imaging features and their distribution were analysed and compared across the four groups.Findings 81 patients admitted to hospital between Dec 20, 2019, and Jan 23, 2020, were retrospectively enrolled. The cohort included 42 (52%) men and 39 (48%) women, and the mean age was 49·5 years (SD 11·0). The mean number of involved lung segments was 10·5 (SD 6·4) overall, 2·8 (3·3) in group 1, 11·1 (5·4) in group 2, 13·0 (5·7) in group 3, and 12·1 (5·9) in group 4. The predominant pattern of abnormality observed was bilateral (64 [79%] patients), peripheral (44 [54%]), ill-defined (66 [81%]), and ground-glass opacification (53 [65%]), mainly involving the right lower lobes (225 [27%] of 849 affected segments). In group 1 (n=15), the predominant pattern was unilateral (nine [60%]) and multifocal (eight [53%]) ground-glass opacities (14 [93%]). Lesions quickly evolved to bilateral (19 [90%]), diffuse (11 [52%]) ground-glass opacity predominance (17 [81%]) in group 2 (n=21). Thereafter, the prevalence of ground-glass opacities continued to decrease (17 [57%] of 30 patients in group 3, and five [33%] of 15 in group 4), and consolidation and mixed patterns became more frequent (12 [40%] in group 3, eight [53%] in group 4).Interpretation COVID-19 pneumonia manifests with chest CT imaging abnormalities, even in asymptomatic patients, with rapid evolution from focal unilateral to diffuse bilateral ground-glass opacities that progressed to or co-existed with consolidations within 1-3 weeks. Combining assessment of imaging features with clinical and laboratory findings could facilitate early diagnosis of COVID-19 pneumonia.Funding None.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
A spectrum of pulmonary fibrotic disease has been observed in COVID-19 pneumonia from fibrosis associated with organizing pneumonia to severe acute lung injury and widespread fibrosis.
“A spectrum of pulmonary fibrotic disease has been observed in COVID-19 pneumonia from fibrosis associated with organizing pneumonia to severe acute lung injury and widespread fibrosis (52).”
From Lung epithelial and endothelial damage, loss of tissue repair, inhibition of fibrinolysis, and cellular senescence in fatal COVID-19 (2021) · cites this paper as [52]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
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
Isolation of a Novel Coronavirus from a Man with Pneumonia in Saudi Arabia
Zaki, A. M., van Boheemen, S., Bestebroer, T. M., Osterhaus, A. D. M. E., & Fouchier, R. A. M. (2012) · New England Journal of Medicine · doi:10.1056/nejmoa1211721 · Cited by 5,677 · see citing works
A Novel Coronavirus Associated with Severe Acute Respiratory Syndrome
Tg, K., Erdman, D. D., Cs, G., Zaki, Peret, T. C. T., Emery, S. L., Tong, S., Urbani, C., Comer, J. A., Lim, W., et al. (2003) · New England Journal of Medicine · doi:10.1056/nejmoa030781 · Cited by 4,345 · see citing works
Travis, W. D., Costabel, U., Hansell, D. M., King, T. E., Lynch, D. A., Nicholson, A. G., Ryerson, C. J., Ryu, J. H., Selman, M., Wells, A. U., et al. (2013) · American Journal of Respiratory and Critical Care Medicine · doi:10.1164/rccm.201308-1483st · Cited by 4,320 · see citing works
A Major Outbreak of Severe Acute Respiratory Syndrome in Hong Kong
Lee, N. L. S., Hui, D. S. C., Wu, A. K. L., Chan, P. K. S., Cameron, P. A., Joynt, G. M., Ahuja, A. T., Yung, M. Y., Leung, C. B., To, K. F., et al. (2003) · New England Journal of Medicine · doi:10.1056/nejmoa030685 · Cited by 2,631 · see citing works
Xu, X., Chen, P., Wang, J., Feng, J., Zhou, H., Li, X., Zhong, W., & Hao, P. (2020) · Science China Life Sciences · doi:10.1007/s11427-020-1637-5 · Cited by 2,206 · see citing works
Assiri, A., Al-Tawfiq, J. A., Al-Rabeeah, A. A., Al-Rabiah, F. A., Al-Hajjar, S., Al-Barrak, A., Flemban, H., Al-Nassir, W. N., Balkhy, H. H., Al-Hakeem, R. F., et al. (2013) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(13)70204-4 · Cited by 1,435 · see citing works
de Groot, R. J., Baker, S. C., Baric, R. S., Brown, C. S., Drosten, C., Enjuanes, L., Fouchier, R. A. M., Galiano, M., Gorbalenya, A. E., Memish, Z. A., et al. (2013) · Journal of Virology · doi:10.1128/jvi.01244-13 · Cited by 1,238 · see citing works
A Cluster of Cases of Severe Acute Respiratory Syndrome in Hong Kong
TSANG, K. W. T., Ho, P., OOI, G. C., Yee, W. K. S., Wang, T., Chan-Yeung, M. M. W., Lam, W. K., Seto, W., Yam, L. Y.-C., CHEUNG, T. M., et al. (2003) · New England Journal of Medicine · doi:10.1056/nejmoa030666 · Cited by 1,018 · see citing works
Newly discovered coronavirus as the primary cause of severe acute respiratory syndrome
Kuiken, T., Fouchier, R. A. M., Schutten, M., Rimmelzwaan, G. F., van Amerongen, G., van Riel, D. A. J., Laman, J. D., de Jong, T., van Doornum, G., Lim, W. W. L., et al. (2003) · The Lancet · doi:10.1016/s0140-6736(03)13967-0 · Cited by 1,015 · see citing works
A Novel Coronavirus Genome Identified in a Cluster of Pneumonia Cases — Wuhan, China 2019−2020
Tan, W., Zhao, X., Ma, X., Wang, W., Niu, P., Xu, W., Gao, G. F., & Wu, G. (2020) · China CDC Weekly · doi:10.46234/ccdcw2020.017 · Cited by 741 · 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
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.2283030541 · Cited by 239 · see citing works
Das, K. M., Lee, E. Y., Jawder, S. E. A., Enani, M. A., Singh, R., Skakni, L. I., Al-Nakshabandi, N. A., AlDossari, K., & Larsson, S. G. (2015) · American Journal of Roentgenology · doi:10.2214/ajr.15.14445 · Cited by 233 · see citing works
Organizing Pneumonia: Perilobular Pattern at Thin-Section CT
Ujita, M., Renzoni, E. A., Veeraraghavan, S., et al. (2004) · Radiology · doi:10.1148/radiol.2323031059 · Cited by 195 · see citing works
CT Correlation With Outcomes in 15 Patients With Acute Middle East Respiratory Syndrome Coronavirus
Das, K. M., Lee, E. Y., Enani, M. A., et al. (2015) · American Journal of Roentgenology · doi:10.2214/ajr.14.13671 · Cited by 168 · see citing works
Organizing pneumonia : perilobular pattern at thin-section CT
氏田, 万. (2005) · Medical Entomology and Zoology · Cited by 125 · see citing works
Severe Acute Respiratory Syndrome: Radiographic and CT Findings
Müller, N. L., OOI, G. C., Khong, P. L., & Nicolaou, S. (2003) · American Journal of Roentgenology · doi:10.2214/ajr.181.1.1810003 · Cited by 103 · see citing works
The added value of pirfenidone to fight inflammation and fibrotic state induced by SARS-CoV-2
Ferrara, F., Granata, G., Pelliccia, C., Porta, R. L., & Vitiello, A. (2020) · European Journal of Clinical Pharmacology · doi:10.1007/s00228-020-02947-4 · Cited by 82 · see citing works
Emerging H7N9 Influenza A (Novel Reassortant Avian-Origin) Pneumonia: Radiologic Findings
Wang, Q., Zhang, Z., Shi, Y., & Jiang, Y. (2013) · Radiology · doi:10.1148/radiol.13130988 · Cited by 81 · see citing works
The Radiologic Manifestations of H5N1 Avian Influenza
Qureshi, N. R., Hien, T. T., Farrar, J., & Gleeson, F. V. (2006) · Journal of Thoracic Imaging · doi:10.1097/01.rti.0000213573.94032.53 · Cited by 74 · see citing works
Altmayer, S., Zanon, M., Pacini, G. S., Watte, G., Barros, M. C., Mohammed, T.-L. H., Verma, N., Marchiori, E. D. S., & a, B. H. (2020) · European Radiology · doi:10.1007/s00330-020-07018-x · Cited by 73 · see citing works
Liu, S., Sun, J., Cai, J., Miao, Z., Lu, M., Qin, S., Wang, X., Lv, H., Yu, Z., Amer, S., et al. (2013) · Journal of Infection · doi:10.1016/j.jinf.2013.08.007 · Cited by 65 · see citing works
Chest Computed Tomography Findings in COVID‐19 and Influenza: A Narrative Review
Onigbinde, S. O., Ojo, A. S., Fleary, L., & Hage, R. (2020) · BioMed Research International · doi:10.1155/2020/6928368 · Cited by 48 · see citing works
Chen, X., Yang, Z., Lu, Y., Xu, Q., Wang, Q., & Chen, L. (2013) · PLoS ONE · doi:10.1371/journal.pone.0073362 · Cited by 28 · see citing works
Zhou, Y., Zheng, Y., Yang, Q., Hu, L., Liao, J., & Li, X. (2020) · European Radiology · doi:10.1007/s00330-020-07007-0 · Cited by 16 · see citing works
The COVID-19 pandemic: catching up with the cataclysm
Chakraborty, S., & Basu, A. (2020) · F1000Research · doi:10.12688/f1000research.24963.1 · Cited by 13 · see citing works
Clinical and imaging findings in patients with severe acute respiratory syndrome.
赵振军, 梁长虹, 张金娥, et al. (2003) · PubMed · Cited by 10 · see citing works
Flagged first, then by citations
Research works printed but not linked: 1
- [13]Richman DD Whitley RJ Hayden FG Clinical virology 4th edn. 2016 ASM Press Washington
Cited by
Sorted by citations
Wiersinga, W. J., Rhodes, A., Cheng, A. C., Peacock, S. J., & Prescott, H. C. (2020) · JAMA · doi:10.1001/jama.2020.12839 · Cited by 4,609 · see citing works
HCA Lung Biological Network, Sungnak, W., Huang, N., Bécavin, C., Berg, M., Queen, R., Litvinukova, M., Talavera-López, C., Maatz, H., Reichart, D., et al. (2020) · Nature Medicine · doi:10.1038/s41591-020-0868-6 · Cited by 2,501 · see citing works
Alhazzani, W., Møller, M. H., Arabi, Y. M., Loeb, M., Gong, M. N., Fan, E., Oczkowski, S., Levy, M. M., Derde, L., Dzierba, A., et al. (2020) · Intensive Care Medicine · doi:10.1007/s00134-020-06022-5 · Cited by 2,105 · see citing works
Cheung, K. S., Hung, I. F. N., Chan, P. P. Y., Lung, K. C., Tso, E., Liu, R., Ng, Y. Y., Chu, M. Y., Chung, T. W. H., Tam, A. R., et al. (2020) · Gastroenterology · doi:10.1053/j.gastro.2020.03.065 · Cited by 1,631 · see citing works
Intensive care management of coronavirus disease 2019 (COVID-19): challenges and recommendations
Phua, J., Weng, L., Ling, L., Egi, M., Lim, C.-M., Divatia, J. V., Shrestha, B. R., Arabi, Y. M., Ng, J., Gomersall, C. D., et al. (2020) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(20)30161-2 · Cited by 1,509 · see citing works
Pulmonary fibrosis and COVID-19: the potential role for antifibrotic therapy
George, P. M., Wells, A. U., & Jenkins, R. G. (2020) · The Lancet Respiratory Medicine · doi:10.1016/s2213-2600(20)30225-3 · Cited by 1,085 · see citing works
Mao, R., Qiu, Y., He, J.-S., Tan, J.-Y., Li, X.-H., Liang, J., Shen, J., Zhu, L.-R., Chen, Y., Iacucci, M., et al. (2020) · The Lancet Gastroenterology & Hepatology · doi:10.1016/s2468-1253(20)30126-6 · Cited by 1,056 · see citing works
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 · see citing works
Comparative pathogenesis of COVID-19, MERS, and SARS in a nonhuman primate model
Rockx, B., Kuiken, T., Herfst, S., Bestebroer, T., Lamers, M. M., Oude Munnink, B. B., de Meulder, D., van Amerongen, G., van den Brand, J., Okba, N. M. A., et al. (2020) · Science · doi:10.1126/science.abb7314 · Cited by 901 · see citing works
Respiratory disease in rhesus macaques inoculated with SARS-CoV-2
Munster, V. J., Feldmann, F., Williamson, B. N., van Doremalen, N., Pérez-Pérez, L., Schulz, J., Meade-White, K., Okumura, A., Callison, J., Brumbaugh, B., et al. (2020) · Nature · doi:10.1038/s41586-020-2324-7 · Cited by 720 · see citing works
Artificial Intelligence and COVID-19: Deep Learning Approaches for Diagnosis and Treatment
Jamshidi, M., Lalbakhsh, A., Talla, J., Peroutka, Z., Hadjilooei, F., Lalbakhsh, P., Jamshidi, M., Spada, L. L., Mirmozafari, M., Dehghani, M., et al. (2020) · IEEE Access · doi:10.1109/access.2020.3001973 · Cited by 551 · 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
COVID-19 in persons with haematological cancers
He, W., Chen, L., Chen, L., Yuan, G., Fang, Y., Chen, W., Wu, D., Liang, B., Lu, X., Ma, Y., et al. (2020) · Leukemia · doi:10.1038/s41375-020-0836-7 · Cited by 462 · 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
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 · see citing works
Preeclampsia and COVID-19: results from the INTERCOVID prospective longitudinal study
Papageorghiou, A. T., Deruelle, P., Gunier, R. B., Rauch, S., García-May, P. K., Mhatre, M., Usman, M. A., Abd-Elsalam, S., Etuk, S., Simmons, L. E., et al. (2021) · American Journal of Obstetrics and Gynecology · doi:10.1016/j.ajog.2021.05.014 · Cited by 311 · see citing works
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 · see citing works
D’Agnillo, F., Walters, K.-A., Xiao, Y., Sheng, Z.-M., Scherler, K., Park, J., Gygli, S., Rosas, L. A., Sadtler, K., Kalish, H., et al. (2021) · Science Translational Medicine · doi:10.1126/scitranslmed.abj7790 · Cited by 237 · see citing works
Ojha, V., Mani, A., Pandey, N. N., Sharma, S., & Kumar, S. (2020) · European Radiology · doi:10.1007/s00330-020-06975-7 · Cited by 227 · see citing works
COVID-19 and pulmonary fibrosis: a potential role for lung epithelial cells and fibroblasts
John, A. E., Joseph, C., Jenkins, G., & Tatler, A. L. (2021) · Immunological Reviews · doi:10.1111/imr.12977 · Cited by 219 · see citing works
Unveiling COVID-19 from CHEST X-ray with deep learning: A hurdles race with small data
Tartaglione, E., Barbano, C. A., Berzovini, C., Calandri, M., & Grangetto, M. (2020) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph17186933 · Cited by 211 · see citing works
CT of Post-Acute Lung Complications of COVID-19
Solomon, J. J., Heyman, B., Ko, J. P., Condos, R., & Lynch, D. A. (2021) · Radiology · doi:10.1148/radiol.2021211396 · Cited by 212 · see citing works
Computer-aided detection of COVID-19 from X-ray images using multi-CNN and Bayesnet classifier
Abraham, B., & Nair, M. S. (2020) · Biocybernetics and Biomedical Engineering · doi:10.1016/j.bbe.2020.08.005 · Cited by 169 · see citing works
Yu, B., Li, C., Sun, Y., & Wang, D. W. (2021) · Cell Metabolism · doi:10.1016/j.cmet.2020.11.014 · Cited by 148 · see citing works
Tian, Y., Qiu, X., Wang, C., Zhao, J., Jiang, X., Niu, W., Huang, J., & Zhang, F. (2021) · International Journal of Cancer · doi:10.1002/ijc.33213 · Cited by 129 · see citing works
Carubbi, F., Salvati, L., Alunno, A., Maggi, F., Borghi, E., Mariani, R., Mai, F., Paoloni, M., Ferri, C., Desideri, G., et al. (2021) · Scientific Reports · doi:10.1038/s41598-021-83831-8 · Cited by 104 · see citing works
Sharma, R., Agarwal, M., Gupta, M., Somendra, S., & Saxena, S. K. (2020) · Medical Virology: From Pathogenesis to Disease Control · doi:10.1007/978-981-15-4814-7_6 · Cited by 97 · see citing works
Advancing COVID-19 diagnosis with privacy-preserving collaboration in artificial intelligence
Bai, X., Wang, H., Ma, L., Xu, Y., Gan, J., Fan, Z., Yang, F., Ma, K., Yang, J., Bai, S., et al. (2021) · Nature Machine Intelligence · doi:10.1038/s42256-021-00421-z · Cited by 75 · see citing works
Self-citationGoh, Y., Chua, W., Lee, J. K. T., Ang, B. W. L., Liang, C. R., Tan, C. A., Choong, D. A. W., Hoon, H. X., Ong, M. K. L., & Quek, S. T. (2020) · Journal of the American College of Radiology · doi:10.1016/j.jacr.2020.03.027 · Cited by 73 · see citing works
A Critical Appraisal of COVID-19 in Malaysia and Beyond
Editorial Board Member, M. J. O. M. S., Abdullah, J. M., Brain Behaviour Cluster and Department of Neurosciences, S. O. M. S., Wan Ismail, W. F. N., Editorial Board Member, M. J. O. M. S., Department of Orthopaedics, S. O. M. S., Mohamad, I., Editorial Board Member, M. J. O. M. S., Department of Otorhinolaryngology-Head & Neck Surgery, S. O. M. S., Ab Razak, A., et al. (2020) · Malaysian Journal of Medical Sciences · doi:10.21315/mjms2020.27.2.1 · Cited by 69 · see citing works
Shinde, T., Hansbro, P. M., Sohal, S. S., Dingle, P., Eri, R., & Stanley, R. (2020) · Microorganisms · doi:10.3390/microorganisms8060921 · Cited by 61 · see citing works
Verma, A. K., & Aggarwal, R. (2021) · Chemical Biology & Drug Design · doi:10.1111/cbdd.13812 · Cited by 54 · see citing works
Long-term consequences in critically ill COVID-19 patients: a prospective cohort study
Schandl, A., Hedman, A., Lyngå, P., Fathi Tachinabad, S., Svefors, J., Roël, M., Geborek, A., Andersson Franko, M., Söderberg, M., Joelsson‐Alm, E., et al. (2021) · Acta Anaesthesiologica Scandinavica · doi:10.1111/aas.13939 · Cited by 50 · see citing works
Wang, Q., Zhou, Y., Ghassemi, P., McBride, D., Casamento, J. P., & Pfefer, T. J. (2021) · Sensors · doi:10.3390/s22010215 · Cited by 48 · see citing works
Inui, S., Gonoi, W., Kurokawa, R., Nakai, Y., Watanabe, Y., Sakurai, K., Ishida, M., Fujikawa, A., & Abe, O. (2021) · Insights into Imaging · doi:10.1186/s13244-021-01096-1 · Cited by 42 · see citing works
Zhou, M., Yin, Z., Xu, J., Wang, S., Liao, T., Wang, K., Li, Y., Yang, F., Wang, Z., Yang, G., et al. (2021) · The Journal of Infectious Diseases · doi:10.1093/infdis/jiab181 · Cited by 39 · see citing works
Insights in Chloroquine Action: Perspectives and Implications in Malaria and <scp>COVID</scp>‐19
Pillat, M. M., Krüger, A., Guimarães, L. M. F., Lameu, C., de Souza, E. E., Wrenger, C., & Ulrich, H. (2020) · Cytometry Part A · doi:10.1002/cyto.a.24190 · Cited by 17 · see citing works
Kanayama, A., Tsuchihashi, Y., Otomi, Y., Enomoto, H., Arima, Y., Takahashi, T., Kobayashi, Y., Kaku, K., Sunagawa, T., Suzuki, M., et al. (2022) · Japanese Journal of Radiology · doi:10.1007/s11604-022-01300-2 · Cited by 7 · see citing works
Mansour, H. M. (2024) · Ageing Research Reviews · doi:10.1016/j.arr.2024.102195 · Cited by 3 · see citing works
- Authors
- Shi, H., Han, X., Jiang, N., Cao, Y., Alwalid, O., Gu, J., Fan, Y., & Zheng, C.
- Affiliations
- Wuhan Union Hospital (CN)
- Jinyintan Hospital (CN)
- Corresponding author
- Fan, Yanqing
- Zheng, Chuansheng
- Venue
- The Lancet Infectious Diseases
- Publisher
- Elsevier BV
- Published
- 2020-04
- Volume
- 20
- Issue
- 4
- Pages
- 425-434
- ISSN
- 1473-3099 (ISSN-L)
- PMC
- PMC7159053
- OpenAlex
- W3007273493
- Cited by
- 3,664
- References
- 28
- Citations by year
- 2026: 25 · 2025: 43 · 2024: 134 · 2023: 281 · 2022: 487 · 2021: 1077 · 2020: 1608 · 2019: 3 · 2018: 1 · 2017: 1 · 2012: 1
- FWCI
- 113.34
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- The Lancet Infectious Diseases (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- University of Washington
- Huazhong University of Science and Technology
- 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 › Neurology › Long-Term Effects of COVID-19
- Keywords
- COVID-19 pneumonia, SARS-CoV-2, chest CT findings, serial CT imaging, ground-glass opacities, asymptomatic infection, disease progression, right lower lobe, Wuhan outbreak, time since symptom onset, differential diagnosis of pneumonia
- MeSH terms
- Betacoronavirus, COVID-19, SARS-CoV-2, Adult, Aged, China, Female, Humans, Lung, Male, Middle Aged, Pneumonia, Viral, Tomography, X-Ray Computed, Coronavirus Infections, Pandemics
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
