The role of chest imaging in the diagnosis, management, and monitoring of coronavirus disease 2019 (COVID-19)
Open accessAbstract
Coronavirus disease 2019 (COVID-19) pandemic has posed a major public health crisis all over the world. The role of chest imaging, especially computed tomography (CT), has evolved during the pandemic paralleling the accumulation of scientific evidence. In the early stage of the pandemic, the performance of chest imaging for COVID-19 has widely been debated especially in the context of comparison to real-time reverse transcription polymerase chain reaction. Current evidence is against the use of chest imaging for routine screening of COVID-19 contrary to the initial expectations. It still has an integral role to play, however, in its work up and staging, especially when assessing complications or disease progression. Chest CT is gold standard imaging modality for COVID-19 pneumonia; in some situations, chest X-ray or ultrasound may be an effective alternative. The most important role of radiologists in this context is to be able to identify those patients at greatest risk of imminent clinical decompensation by learning to stratify cases of COVID-19 on the basis of radiologic imaging in the most efficient and timely fashion possible. The present availability of multiple and more refined CT grading systems and classification is now making this task easier and thereby contributing to the recent improvements achieved in COVID-19 treatment and outcomes. In this article, evidence of chest imaging regarding diagnosis, management and monitoring of COVID-19 will be chronologically reviewed.
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Improving chest diagnostics and lung cancer detection are national priorities due to high rates of late-stage lung cancer diagnosis.
“Improving chest diagnostics and lung cancer detection are national priorities due to high rates of late-stage lung cancer diagnosis,3 and efficient chest diagnostics may be central to managing any future respiratory disease pandemic.19”
From Procurement and early deployment of artificial intelligence tools for chest diagnostics in NHS services in England: a rapid, mixed method evaluation (2025) · cites this paper as [19]
Citation 19 attaches to the sentence’s second clause, not the national-priorities claim cited to reference 3. The paper’s Key points and Controversy of chest CT versus RT-PCR sections describe roles for chest imaging in managing COVID-19, including assessing progression and triaging patients. They do not address whether efficient chest diagnostics would be central to managing a future respiratory disease pandemic. (LLM, conf=0.82)
Experimental — accuracy not yet measuredChest diagnostics may be key to managing any future respiratory disease pandemic.
“and chest diagnostics may be key to managing any future respiratory disease pandemic.19”
From Procurement and early deployment of artificial intelligence tools for chest diagnostics in NHS services in England: a rapid, mixed method evaluation (2025) · cites this paper as [19]
The Abstract describes chest imaging as integral to the work-up and staging of COVID-19, particularly for assessing complications and disease progression. The Introduction limits the review to COVID-19; the paper does not establish that chest diagnostics will be key to managing any future respiratory disease pandemic. (LLM, conf=0.85)
Experimental — accuracy not yet measured
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Cites
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 · see citing works
Chen, N., Zhou, M., Dong, X., Qu, J., Gong, F., Han, Y., Qiu, Y., Wang, J., Liu, Y., Wei, Y., et al. (2020) · The Lancet · doi:10.1016/s0140-6736(20)30211-7 · Cited by 21,415 · see citing works
WHO Declares COVID-19 a Pandemic.
Cucinotta, D., & Vanelli, M. (2020) · Acta bio-medica dell'Ateneo parmense/Acta biomedica · doi:10.23750/abm.v91i1.9397 · Cited by 7,644 · 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
Computing Inter-Rater Reliability for Observational Data: An Overview and Tutorial
Hallgren, K. A. (2012) · Tutorials in Quantitative Methods for Psychology · doi:10.20982/tqmp.08.1.p023 · Cited by 3,884 · see citing works
Radiological findings from 81 patients with COVID-19 pneumonia in Wuhan, China: a descriptive study
Shi, H., Han, X., Jiang, N., Cao, Y., Alwalid, O., Gu, J., Fan, Y., & Zheng, C. (2020) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(20)30086-4 · Cited by 3,664 · 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
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
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
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
Interpreting Diagnostic Tests for SARS-CoV-2.
Sethuraman, N., Jeremiah, S. S., & Ryo, A. (2020) · Journal of the American Medical Association (JAMA) · doi:10.1001/jama.2020.8259 · Cited by 1,420 · see citing works
Kucirka, L. M., Lauer, S. A., Laeyendecker, O. B., Boon, D., & Lessler, J. (2020) · Annals of Internal Medicine · doi:10.7326/m20-1495 · Cited by 1,414 · see citing works
The Role of Chest Imaging in Patient Management During the COVID-19 Pandemic
Rubin, G. D., Ryerson, C. J., Haramati, L. B., Sverzellati, N., Kanne, J. P., Raoof, S., Schluger, N. W., Volpi, A., Yim, J., Martin, I. B. K., et al. (2020) · CHEST Journal · doi:10.1016/j.chest.2020.04.003 · Cited by 1,249 · see citing works
Menter, T., Haslbauer, J. D., Nienhold, R., Savic, S., Hopfer, H., Deigendesch, N., Frank, S., Turek, D., Willi, N., Pargger, H., et al. (2020) · Histopathology · doi:10.1111/his.14134 · Cited by 1,207 · 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
Rubin, G. D., Ryerson, C. J., Haramati, L. B., Sverzellati, N., Kanne, J. P., Raoof, S., Schluger, N. W., Volpi, A., Yim, J.-J., Martin, I. B. K., et al. (2020) · Radiology · doi:10.1148/radiol.2020201365 · Cited by 1,101 · 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
Temporal Changes of CT Findings in 90 Patients with COVID-19 Pneumonia: A Longitudinal Study
Wang, Y., Dong, C., Hu, Y., Li, C., Ren, Q., Zhang, X., Shi, H., & Zhou, M. (2020) · Radiology · doi:10.1148/radiol.2020200843 · Cited by 959 · see citing works
Prokop, M., van Everdingen, W. M., Vellinga, T. V. R., van Ufford, H. M. E. Q., Stöger, J. L., Beenen, L. F. M., Geurts, B. H. J., Gietema, H. A., Krdzalic, J., Schaefer‐Prokop, C. M., et al. (2020) · Radiology · doi:10.1148/radiol.2020201473 · Cited by 922 · 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
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 · see citing works
Six-month Follow-up Chest CT Findings after Severe COVID-19 Pneumonia
Han, X., Fan, Y., Alwalid, O., Li, N., Jia, X., Yuan, M., Li, Y., Cao, Y., Gu, J., Wu, H., et al. (2021) · Radiology · doi:10.1148/radiol.2021203153 · Cited by 647 · see citing works
Kim, H., Hong, H., & Yoon, S. H. (2020) · Radiology · doi:10.1148/radiol.2020201343 · Cited by 534 · see citing works
Well-aerated Lung on Admitting Chest CT to Predict Adverse Outcome in COVID-19 Pneumonia
Colombi, D., Bodini, F. C., Petrini, M., Maffi, G., Morelli, N., Milanese, G., Silva, M., Sverzellati, N., & Michieletti, E. (2020) · Radiology · doi:10.1148/radiol.2020201433 · Cited by 456 · 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
Self-citationToussie, D., Voutsinas, N., Finkelstein, M. S., Cedillo, M. A., Manna, S., Maron, S. Z., Jacobi, A., Chung, M., Bernheim, A., Eber, C. D., et al. (2020) · Radiology · doi:10.1148/radiol.2020201754 · Cited by 344 · see citing works
Viral Shedding and Clinical Illness in Naturally Acquired Influenza Virus Infections
Lau, L. L., Cowling, B. J., Fang, V. J., Chan, K., Lau, E. H. Y., Lipsitch, M., Cheng, C. K. Y., Houck, P. M., Uyeki, T. M., Peiris, M. J. S., et al. (2010) · The Journal of Infectious Diseases · doi:10.1086/652241 · Cited by 324 · see citing works
Point‐of‐care lung ultrasound in patients with COVID ‐19 – a narrative review
Smith, M., Hayward, S., Innes, S., & Miller, A. (2020) · Anaesthesia · doi:10.1111/anae.15082 · Cited by 318 · see citing works
Review of analytical performance of COVID-19 detection methods
Giri, B., Pandey, S., Shrestha, R., Pokharel, K., Ligler, F. S., & Neupane, B. B. (2020) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-020-02889-x · Cited by 217 · see citing works
Rhee, C., Kanjilal, S., Baker, M. A., & Klompas, M. (2020) · Clinical Infectious Diseases · doi:10.1093/cid/ciaa1249 · Cited by 215 · see citing works
Chest CT and Coronavirus Disease (COVID-19): A Critical Review of the Literature to Date
Raptis, C. A., Hammer, M. M., Short, R. G., Shah, A. B., Bhalla, S., Bierhals, A. J., Filev, P. D., Hope, M. D., Jeudy, J. J., Kligerman, S. J., et al. (2020) · American Journal of Roentgenology · doi:10.2214/ajr.20.23202 · Cited by 214 · see citing works
Salehi, S., Abedi, A., Balakrishnan, S., & Gholamrezanezhad, A. (2020) · European Radiology · doi:10.1007/s00330-020-06863-0 · Cited by 168 · see citing works
Use of Chest Imaging in the Diagnosis and Management of COVID-19: A WHO Rapid Advice Guide
Akl, E. A., Blazic, I. M., Yaacoub, S. G., Frija, G. G., Chou, R., Appiah, J. A., Fatehi, M., Flor, N., Hitti, E. A., Jafri, H., et al. (2020) · Radiology · doi:10.1148/radiol.2020203173 · Cited by 162 · see citing works
Lu, W., Zhang, S., Chen, B., Chen, J., Xian, J., Lin, Y., Shan, H., & Su, Z. Z. (2020) · Ultraschall in der Medizin - European Journal of Ultrasound · doi:10.1055/a-1154-8795 · Cited by 147 · see citing works
Outbreak of coronavirus disease 2019
Burki, T. K. (2020) · The Lancet Infectious Diseases · doi:10.1016/s1473-3099(20)30076-1 · Cited by 142 · see citing works
Leßmann, N., Sánchez, C. I., Beenen, L. F. M., Boulogne, L., Brink, M., Çallı, E., Charbonnier, J. P., Dofferhoff, T., van Everdingen, W. M., Gerke, P. K., et al. (2020) · Radiology · doi:10.1148/radiol.2020202439 · Cited by 141 · see citing works
Vancheri, S., Savietto, G., Ballati, F., Maggi, A., Canino, C., Bortolotto, C., Valentini, A., Dore, R., Stella, G. M., Corsico, A. G., et al. (2020) · European Radiology · doi:10.1007/s00330-020-06967-7 · Cited by 139 · see citing works
Clinicopathologic and Immunohistochemical Findings from Autopsy of Patient with COVID-19, Japan
Adachi, T., Chong, J., Nakajima, N., Sano, M., Yamazaki, J., Miyamoto, I., Nishioka, H., Akita, H., Sato, Y., Kataoka, M., et al. (2020) · Emerging infectious diseases · doi:10.3201/eid2609.201353 · Cited by 138 · see citing works
Diagnostic accuracy of X-ray versus CT in COVID-19: a propensity-matched database study
Borakati, A., Perera, A., Johnson, J. O., & Sood, T. (2020) · BMJ Open · doi:10.1136/bmjopen-2020-042946 · Cited by 137 · see citing works
Grist, J. T., Chen, M., Collier, G. J., Raman, B., Eid, G. A., McIntyre, A., Matthews, V., Fraser, E., Ho, L., Wild, J. M., et al. (2021) · Radiology · doi:10.1148/radiol.2021210033 · Cited by 127 · see citing works
Lieveld, A. W. E., Azijli, K., Teunissen, B. P., van Haaften, R. M., Kootte, R. S., van den Berk, I. A. H., van der Horst, S. F. B., de Gans, C. J., van de Ven, P. M., & Nanayakkara, P. W. B. (2020) · CHEST Journal · doi:10.1016/j.chest.2020.11.026 · Cited by 115 · see citing works
Smet, K. D., Smet, D. D., Demedts, I., Bouckaert, B., Ryckaert, T., Laridon, E., Heremans, B., Vandenbulcke, R., Gryspeerdt, S. S., & Martens, G. A. (2020) · Radiology · doi:10.1148/radiol.2020202708 · Cited by 111 · see citing works
Inui, S., Fujikawa, A., Jitsu, M., Kunishima, N., Watanabe, S., Suzuki, Y., Umeda, S., & Uwabe, Y. (2020) · Radiology Cardiothoracic Imaging · doi:10.1148/ryct.2020204002 · Cited by 97 · see citing works
Self-citationModel-based Prediction of Critical Illness in Hospitalized Patients with COVID-19
Schalekamp, S., Huisman, M., van Dijk, R. A., Boomsma, M. F., Jorge, P. F., de Boer, W. S., Herder, G. J. M., Bonarius, M., Groot, O. A., Jong, E., et al. (2020) · Radiology · doi:10.1148/radiol.2020202723 · Cited by 90 · see citing works
de Jaegere, T. M. H., Krdzalic, J., Fasen, B. A. C. M., Kwee, R. M., & COVID-19 CT Investigators South-East Netherlands (CISEN) study group (2020) · Radiology Cardiothoracic Imaging · doi:10.1148/ryct.2020200213 · Cited by 78 · see citing works
Falaschi, Z., Danna, P. S. C., Arioli, R., Paschè, A., Zagaria, D., Percivale, I., Tricca, S., Barini, M., Aquilini, F., Andreoni, S., et al. (2020) · European Journal of Radiology · doi:10.1016/j.ejrad.2020.109192 · Cited by 74 · see citing works
Point-of-care Lung Ultrasound Is More Sensitive than Chest Radiograph for Evaluation of COVID-19
Pare, J. R., Camelo, I., Mayo, K., Leo, M. M., Dugas, J. N., Nelson, K. P., Baker, W. B., Shareef, F., Mitchell, P. M., & Schechter‐Perkins, E. M. (2020) · Western Journal of Emergency Medicine · doi:10.5811/westjem.2020.5.47743 · Cited by 73 · see citing works
Hope, M. D., Raptis, C. A., & Henry, T. S. (2020) · Annals of Internal Medicine · doi:10.7326/m20-1382 · Cited by 70 · see citing works
Li, Y., Yang, Z., Ai, T., Wu, S., & Xia, L. (2020) · European Radiology · doi:10.1007/s00330-020-06969-5 · Cited by 66 · see citing works
Chest CT in the Emergency Department for Diagnosis of COVID-19 Pneumonia: Dutch Experience
Schalekamp, S., Bleeker‐Rovers, C. P., Beenen, L. F. M., van Ufford, H. M. E. Q., Gietema, H. A., Stöger, J. L., Harris, V., Reijers, M. H. E., Rahamat-Langendoen, J. C., Korevaar, D. A., et al. (2020) · Radiology · doi:10.1148/radiol.2020203465 · Cited by 60 · see citing works
Colombi, D., Petrini, M., Maffi, G., Villani, G. D., Bodini, F. C., Morelli, N., Milanese, G., Silva, M., Sverzellati, N., & Michieletti, E. (2020) · European Journal of Radiology · doi:10.1016/j.ejrad.2020.109344 · Cited by 57 · see citing works
Bellini, D., Panvini, N., Rengo, M., Vicini, S., Lichtner, M., Tieghi, T., Ippoliti, M. D., Giulio, F., Orlando, E., Iozzino, M., et al. (2020) · European Radiology · doi:10.1007/s00330-020-07273-y · Cited by 56 · see citing works
Myocarditis Associated with mRNA COVID-19 Vaccination
Starekova, J., Bluemke, D. A., Bradham, W. S., Grist, T. M., Schiebler, M. L., & Reeder, S. B. (2021) · Radiology · doi:10.1148/radiol.2021211430 · Cited by 56 · see citing works
Evaluation of the Usefulness of CO-RADS for Chest CT in Patients Suspected of Having COVID-19
Fujioka, T., Takahashi, M., Mori, M., Tsuchiya, J., Yamaga, E., Horii, T., Yamada, H., Kimura, M., Kimura, K., Kitazume, Y., et al. (2020) · Diagnostics · doi:10.3390/diagnostics10090608 · Cited by 55 · see citing works
Systematic review and meta-analysis of chest radiograph (CXR) findings in COVID-19
Sadiq, Z., Rana, S., Mahfoud, Z. R., & Raoof, A. (2021) · Clinical Imaging · doi:10.1016/j.clinimag.2021.06.039 · Cited by 46 · see citing works
Hare, S. S., Tavare, A. N., Dattani, V., Musaddaq, B., Beal, I., Cleverley, J., Cash, C. J. C., Lemoniati, E., & Barnett, J. L. (2020) · Clinical Radiology · doi:10.1016/j.crad.2020.06.005 · Cited by 45 · see citing works
The optimal diagnostic methods for COVID-19
Harahwa, T., Yau, T., Lim‐Cooke, M., Al-Haddi, S., Zeinah, M., & Harky, A. (2020) · Diagnosis · doi:10.1515/dx-2020-0058 · Cited by 45 · see citing works
Chest CT for triage during COVID-19 on the emergency department: myth or truth?
Hermans, J. J. R., Groen, J., Zwets, E. D., Klerk, B. M. B., van Werkhoven, J. M., Ong, D. S. Y., Hanselaar, W. E. J. J., Prinzen, L., & Brown, V. (2020) · Emergency Radiology · doi:10.1007/s10140-020-01821-1 · Cited by 41 · see citing works
Structured reporting of chest CT in COVID-19 pneumonia: a consensus proposal
Neri, E., Coppola, F., Larici, A. R., Sverzellati, N., Mazzei, M. A., Sacco, P., Dalpiaz, G., Feragalli, B., Miele, V., & Grassi, R. (2020) · Insights into Imaging · doi:10.1186/s13244-020-00901-7 · Cited by 41 · see citing works
Ciccarese, F., Coppola, F., Spinelli, D., Galletta, G. L., Lucidi, V., Paccapelo, A., Benedittis, C. D., Balacchi, C., & Golfieri, R. (2020) · Radiology Cardiothoracic Imaging · doi:10.1148/ryct.2020200312 · Cited by 39 · see citing works
Kwee, R. M., Adams, H. J. A., & Kwee, T. C. (2021) · Radiology Cardiothoracic Imaging · doi:10.1148/ryct.2021200510 · Cited by 36 · see citing works
Narinx, N., Smismans, A., Symons, R., Frans, J., Demeyere, A., & Gillis, M. (2020) · Emergency Radiology · doi:10.1007/s10140-020-01849-3 · Cited by 36 · see citing works
Chest CT accuracy in the diagnosis of SARS-CoV-2 infection: initial experience in a cancer center
Barbosa, P. N. V. P., Bitencourt, A. G. V., de Miranda, G. D., Almeida, M. F. A., & Chojniak, R. (2020) · Radiologia Brasileira · doi:10.1590/0100-3984.2020.0040 · Cited by 34 · see citing works
Som, A., Lang, M., Yeung, T., Carey, D. E., Garrana, S. H., Mendoza, D. P., Flores, E. J., Li, M., Sharma, A., McDermott, S., et al. (2020) · Radiology Cardiothoracic Imaging · doi:10.1148/ryct.2020200276 · Cited by 32 · see citing works
Comparison of Chest CT Grading Systems in COVID-19 Pneumonia
Inui, S., Kurokawa, R., Nakai, Y., Watanabe, Y., Kurokawa, M., Sakurai, K., Fujikawa, A., Sugiura, H., Kawahara, T., Yoon, S. H., et al. (2020) · Radiology Cardiothoracic Imaging · doi:10.1148/ryct.2020200492 · Cited by 32 · see citing works
Self-citationTeachers and Research in Special Education
Kiernan, C. (1982) · British Journal of Special Education · doi:10.1111/j.1467-8578.1982.tb00561.x · Cited by 31 · see citing works
A Japanese case of COVID‐19: An autopsy report
Okudela, K., Hayashi, H., Yoshimura, Y., Sasaki, H., Horiuchi, H., Miyata, N., Tachikawa, N., Tsuchiya, Y., Mitsui, H., & Ohashi, K. (2020) · Pathology International · doi:10.1111/pin.13002 · Cited by 26 · see citing works
Patrucco, F., Carriero, A., Falaschi, Z., Paschè, A., Gavelli, F., Airoldi, C., Bellan, M., Sainaghi, P. P., Solidoro, P., & Balbo, P. E. (2021) · Radiology · doi:10.1148/radiol.2020203776 · Cited by 26 · see citing works
The role of lung ultrasound in COVID-19 disease
European Society of Radiology (ESR), Clevert, D., Sidhu, P. S., Lim, A. K. P., Ewertsen, C., Mitkov, V. V., Piskunowicz, M., Ricci, P., Bargalló, N., & Brady, A. P. (2021) · Insights into Imaging · doi:10.1186/s13244-021-01013-6 · Cited by 26 · see citing works
Kuo, B. J., Lai, Y. K., Tan, M. L. M., & Goh, C. X. Y. (2020) · Radiology · doi:10.1148/radiol.2020203496 · Cited by 25 · see citing works
Added value of chest computed tomography in suspected COVID-19: an analysis of 239 patients
Korevaar, D. A., Kootte, R. S., Smits, L. P., van den Aardweg, J. G., Bonta, P. I., Schinkel, J., Vigeveno, R. M., van den Berk, I. A. H., Scheerder, M. J., Lemkes, B. A., et al. (2020) · European Respiratory Journal · doi:10.1183/13993003.01377-2020 · Cited by 24 · see citing works
Abdel-Tawab, M., Basha, M. A. A., Mohamed, I. A. I., Ibrahim, H. M., Zaitoun, M., Elsayed, S. B., Mahmoud, N., Sammak, A. A. E., Yousef, H. Y., Aly, S. A., et al. (2021) · Insights into Imaging · doi:10.1186/s13244-021-00998-4 · Cited by 22 · see citing works
Gandhi, D., Jain, N. K., Khanna, K., Li, S., Patel, L. A., & Gupta, N. (2020) · Annals of Translational Medicine · doi:10.21037/atm-20-3043 · Cited by 21 · see citing works
Fonsi, G. B., Sapienza, P., Brachini, G., Andreoli, C., Cicco, M. L. D., Cirillo, B., Meneghini, S., Pugliese, F. R., Crocetti, D., Fiori, E., et al. (2020) · Journal of Ultrasound in Medicine · doi:10.1002/jum.15487 · Cited by 21 · see citing works
Barssoum, K. N., Victor, V., Salem, A., Kumar, A., Mubasher, M., Hassib, M., Magdi, M., Renjithlal, S., Abdelazeem, M., Shariff, M., et al. (2021) · Echocardiography · doi:10.1111/echo.15152 · Cited by 20 · see citing works
Assessing the Value of Diagnostic Tests in the Coronavirus Disease 2019 Pandemic
Sardanelli, F., & Leo, G. D. (2020) · Radiology · doi:10.1148/radiol.2020201845 · Cited by 20 · see citing works
Tsakok, M., Shaw, R. H., Murchison, A. G., Ather, S., Xie, C., Watson, R. A., Brent, A., Andersson, M. I., Benamore, R. E., MacLeod, F., et al. (2020) · BJR|Open · doi:10.1259/bjro.20200034 · Cited by 18 · see citing works
Gandhi, D., Ahuja, K., Grover, H., Sharma, P., Solanki, S., Gupta, N., & Patel, L. A. (2020) · World Journal of Radiology · doi:10.4329/wjr.v12.i9.195 · Cited by 17 · see citing works
Point‐of‐care ultrasound in the COVID‐19 era: A scoping review
Yau, O., Gin, K., Luong, C. L., Jue, J., Abolmaesumi, P., Tsang, M. Y. C., Nair, P., & Tsang, T. S. M. (2020) · Echocardiography · doi:10.1111/echo.14951 · Cited by 17 · see citing works
Santos, J. M. M. M., Fonseca, A. P. A., Anastacio, E. P. Z., Minenelli, F. F., Cavalcanti, C. F. D. A., & Teles, G. B. D. S. (2020) · Journal of Computer Assisted Tomography · doi:10.1097/rct.0000000000001054 · Cited by 16 · see citing works
Groß, A., Heine, G., Schwarz, M., Thiemig, D., Gläser, S., & Albrecht, T. (2020) · British Journal of Radiology · doi:10.1259/bjr.20200574 · Cited by 16 · see citing works
Suchá, D., van Hamersvelt, R. W., van den Hoven, A. F., de Jong, P. A., & Verkooijen, H. M. (2020) · Radiology Cardiothoracic Imaging · doi:10.1148/ryct.2020200342 · Cited by 15 · see citing works
Turcato, G., Zaboli, A., Panebianco, L., Scheurer, C., Venturini, A., Tezza, G., Canelles, M. F., Ausserhofer, D., Pfeifer, N., & Wieser, A. (2020) · Clinical Radiology · doi:10.1016/j.crad.2020.10.007 · Cited by 15 · see citing works
Raptis, C. A., Hammer, M. M., Henry, T. S., Hope, M. D., & Bhalla, S. (2020) · American Journal of Roentgenology · doi:10.2214/ajr.20.23878 · Cited by 14 · see citing works
Nivet, H., Crombé, A., Schuster, P., Ayoub, T., Pourriol, L., Favard, N., Chazot, A., Alonzo-Lacroix, F., Youssof, E., Cheikh, A. B., et al. (2020) · European Radiology · doi:10.1007/s00330-020-07345-z · Cited by 13 · see citing works
Grando, R. D., Brentano, V. B., Zanardo, A. P., Hertz, F. T., Anflor, L. C., dos Santos, J. F. P., Galvão, G. S., Zavascki, A. P., & Gazzana, M. B. (2020) · The Brazilian Journal of Infectious Diseases · doi:10.1016/j.bjid.2020.10.002 · Cited by 10 · see citing works
Chest Radiography in COVID-19: No Role in Asymptomatic and Oligosymptomatic Disease
Schaefer‐Prokop, C. M., & Prokop, M. (2020) · Radiology · doi:10.1148/radiol.2020204038 · Cited by 9 · see citing works
Teles, G. B. D. S., Fonseca, E. K. U. N., Yokoo, P., Silva, M. M. A., Yanata, E., Shoji, H., Passos, R. B. D., Chate, R. C., & Szarf, G. (2020) · Journal of Thoracic Imaging · doi:10.1097/rti.0000000000000563 · Cited by 8 · see citing works
Debate of Chest CT and RT-PCR Test for the Diagnosis of COVID-19
Şendur, H. N. (2020) · Radiology · doi:10.1148/radiol.2020203627 · Cited by 6 · see citing works
Kemp, O., Watson, D., Swanson-Low, C. L., Cameron, J. A., & von Vopelius‐Feldt, J. (2020) · BJR|Open · doi:10.1259/bjro.20200020 · Cited by 5 · see citing works
[Two cases of congenital defects within the transverse processes of the lumbar spine].
Malawski, S., & Sokólski, B. (1993) · PubMed · Cited by 2 · see citing works
[Anicteric calculosis of the common bile duct. Personal experience].
Sturniolo, G., Carditello, A., & Micali, B. (1980) · PubMed · Cited by 1 · see citing works
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Kempter, F., Heye, T. J., Vosshenrich, J., Ceresa, B., & Jäschke, D. (2024) · BMC Medical Imaging · doi:10.1186/s12880-024-01457-4 · Cited by 26 · see citing works
Ramsay, A. I. G., Crellin, N., Lawrence, R., Walton, H., Bagri, S., Dodsworth, E., Elphinstone, H., Gleeson, F., Halliday, A., Herbert, K., et al. (2025) · eClinicalMedicine · doi:10.1016/j.eclinm.2025.103481 · Cited by 13 · see citing works
“19 To help increase understanding of real-world implementation of AI tools in a high priority health-care setting, we analysed procurement and preparation for deployment of AI tools as part of the AIDF programme.”
Askani, E., Müller‐Peltzer, K., Madrid, J., Knoke, M., Hasic, D., Bamberg, F., Schlett, C. L., & Agarwal, P. (2022) · Tomography · doi:10.3390/tomography8050202 · Cited by 13 · see citing works
A deep learning-based application for COVID-19 diagnosis on CT: The Imaging COVID-19 AI initiative
Topff, L., Sánchez-García, J., López‐González, R., Jiménez-Pastor, A., Visser, J. J., Huisman, M., Guiot, J., Beets‐Tan, R. G. H., Alberich‐Bayarri, Á., Fuster-Matanzo, A., et al. (2023) · PLoS ONE · doi:10.1371/journal.pone.0285121 · Cited by 13 · see citing works
Rizzetto, F., Gnocchi, G., Travaglini, F., Rocco, G. D., Rizzo, A., Carbonaro, L. A., & Vanzulli, A. (2022) · Academic Radiology · doi:10.1016/j.acra.2022.06.002 · Cited by 12 · see citing works
Ridzuan, M., Bawazir, A., Navarrete, I. G., Almakky, I., & Yaqub, M. K. (2022) · Lecture notes in computer science · doi:10.1007/978-3-031-12053-4_18 · Cited by 9 · see citing works
Deep learning attention-guided radiomics for COVID-19 chest radiograph classification
Yang, D., Ren, G., Ni, R., Huang, Y.-H., Lam, N. F. D., Sun, H., Wan, S. B. N., Wong, M. F. E., Chan, K. K., Tsang, H. C. H., et al. (2022) · Quantitative Imaging in Medicine and Surgery · doi:10.21037/qims-22-531 · Cited by 9 · see citing works
O’Connor, M., Lunney, A., Kearney, D., & Murphy, S. (2023) · Radiography · doi:10.1016/j.radi.2023.01.022 · Cited by 6 · see citing works
Brogna, B., Bignardi, E., Megliola, A., Laporta, A., Rocca, A. L., Volpe, M., & Musto, L. A. (2023) · Biomedicines · doi:10.3390/biomedicines11082113 · Cited by 6 · see citing works
Yang, J., Henao, J. A. G., Dvornek, N. C., He, J., Bower, D. V., Depotter, A., Bajercius, H., de Mortanges, A. P., You, C., Gange, C., et al. (2024) · Computerized Medical Imaging and Graphics · doi:10.1016/j.compmedimag.2024.102442 · Cited by 5 · see citing works
COVID-19-Related Pleural Diseases
Iqbal, B., Rahman, N. M., & Hallifax, R. (2023) · Seminars in Respiratory and Critical Care Medicine · doi:10.1055/s-0043-1769616 · Cited by 5 · see citing works
Özcan, H. (2025) · Computers in Biology and Medicine · doi:10.1016/j.compbiomed.2025.110392 · Cited by 4 · see citing works
Radiation Overuse in Intensive Care Units
Zanon, C., Bini, C., Toniolo, A., Benetti, T., & Quaia, E. (2024) · Tomography · doi:10.3390/tomography10020015 · Cited by 4 · see citing works
Salama, G. M., Mohamed, A., & Abd-Ellah, M. K. (2024) · Soft Computing · doi:10.1007/s00500-024-10362-5 · Cited by 4 · see citing works
O’Connor, M., Lunney, A., Potočnik, J., Kearney, D. E., & Grehan, J. (2023) · Radiography · doi:10.1016/j.radi.2023.01.018 · Cited by 4 · see citing works
Efficient Feature Extraction for Image Analysis through Adaptive Caching in Vector Databases
Monir, S. S., & Zhao, D. (2024) · International Conference on Information and Computer Technologies (ICICT) · doi:10.1109/icict62343.2024.00036 · Cited by 3 · see citing works
Jaiswal, A., Fervers, P., Meng, F., Zhang, H., Móré, D., Giannakis, A., Wailzer, J., Bucher, A. M., Maintz, D., Kottlors, J., et al. (2025) · RöFo - Fortschritte auf dem Gebiet der Röntgenstrahlen und der bildgebenden Verfahren · doi:10.1055/a-2577-3928 · Cited by 2 · see citing works
Rosa, L. D., L’Abbate, S., Kusmic, C., & Faita, F. (2022) · Artificial Intelligence in Medical Imaging · doi:10.35711/aimi.v3.i2.42 · Cited by 2 · see citing works
CNN Models Using Chest X-Ray Images for COVID-19 Detection: A Survey
Mellal, N., & Zaidi, S. (2023) · Revue d intelligence artificielle · doi:10.18280/ria.370621 · Cited by 2 · see citing works
Android App based on CNN for Covid-19 Detection using Chest X-ray Images
Mellal, N., Bouzekri, K., Sabri, M., & Abdennebi, S. (2022) · International Conference on Pattern Analysis and Intelligent Systems (PAIS) · doi:10.1109/pais56586.2022.9946916 · Cited by 2 · see citing works
Predicting omicron pneumonia severity and outcome: a single-center study in Hangzhou, China
Xu, J., Cao, Z., Miao, C., Zhang, M., & Xu, X. (2023) · Frontiers in Medicine · doi:10.3389/fmed.2023.1192376 · Cited by 2 · see citing works
Buongiorno, R., Germanese, D., Colligiani, L., Fanni, S. C., Romei, C., & Colantonio, S. (2023) · Elsevier eBooks · doi:10.1016/b978-0-323-90531-2.00008-4 · Cited by 2 · see citing works
A Comparative Analysis of Chest X-Rays and CT Scans Towards COVID-19 Detection
Krishnan, A., Rajesh, S., Gollapinni, K., Mohan, M., & Srinivasa, G. (2023) · International Conference for Emerging Technology (INCET) · doi:10.1109/incet57972.2023.10170302 · Cited by 2 · see citing works
Zamfir, A.-S., Cernomaz, A. T., Ciuntu, B. M., Azoicăi, D., Zamfir, C. L., Chistol, R. O., & Sava, A. C. (2024) · Healthcare · doi:10.3390/healthcare12111091 · Cited by 2 · see citing works
Patient radiation safety in the intensive care unit
Quaia, E. (2025) · British Journal of Radiology · doi:10.1093/bjr/tqaf147 · Cited by 1 · see citing works
Berksel, E., Aykaç, A., Akdur, D., & Süer, K. (2023) · Ethiopian Journal of Health Sciences · doi:10.4314/ejhs.v33i5.2 · Cited by 1 · see citing works
Robust framework for COVID-19 identication from a multicenter dataset of chest CT scans
Khademi, S., Heidarian, S., Afshar, P., Enshaei, N., Naderkhani, F., Rafiee, M. J., Oikonomou, A., Shafiee, A., Fard, F. B., Plataniotis, K. N., et al. (2023) · PLoS ONE · doi:10.1371/journal.pone.0282121 · Cited by 1 · see citing works
Moretto, F., Sixt, T., Blot, M., & Piroth, L. (2022) · Clinical Microbiology and Infection · doi:10.1016/j.cmi.2022.01.015
Radiological and Clinical Correlation of Chest X-Ray as a First Tool of Imaging in COVID-19 Patients
Khalid, T., Bano, F., & Saleem, N. (2022) · Pakistan Journal of Medical and Health Sciences · doi:10.53350/pjmhs221651287
Long-Haul COVID-19: Imaging or Functional Testing?
Varón, J., Bhalla, S., & Martini, D. (2022) · Current Respiratory Medicine Reviews · doi:10.2174/1573398x1803220810153544
Константиновна, Р. А., Grinevich, V. B., Ratnikov, V. A., & Kozlov, K. V. (2022) · Diagnostic radiology and radiotherapy · doi:10.22328/2079-5343-2022-13-1-39-50
Distribution of Chest Computed Tomography Findings in 202 Saudi Patients with COVID-19
Elmahdi, T. S. A., Wanasi, M., Gareeballah, A., Hassan, M. G., Alsharif, W. M., Supair, M. K., & Abdelgabar, Z. A. (2023) · International Journal of Biomedicine · doi:10.21103/article13(2)_oa8
ADAPTING ACQUISITION PROTOCOLS FOR COVID-19 PATIENTS: A RADIOGRAPHERS’ PERSPECTION IN ITALY.
Nicolò, M., Risoli, C., Adraman, A., Brazzo, O., Tombolesi, A., Feo, D. D., Rigott, I. G., Devetti, A., Migliorini, M., & Martini, C. (2023) · Journal of Advanced Health Care · doi:10.36017/jahc202352255
Evaluation of thorax computed tomography findings of patients with COVID-19 associated myocarditis
Köksal, M., Gökhan, M. B., & Tekdemir, H. (2023) · Ankara City Hospital Medical Journal · doi:10.5505/achmedj.2023.73792
A Novel Approach for Prediction of the Lung Disease using Deep Learning
Nanthini, N., Aishwarya, D., Simon, A., Vishnupriya, N. B., & Jeyalakshmi, K. (2024) · International Conference on Inventive Systems and Control (ICISC) · doi:10.1109/icisc62624.2024.00070
Comparison of the Degree of Chest CT Scan Abnormalities in COVID-19 and Influenza Patients
Goel, S. K., Kipp, J., Kipp, A., Jain, S., & Goel, N. (2024) · Cureus · doi:10.7759/cureus.75536
Iwasaki, T., Arimura, H., Inui, S., Kodama, T., Cui, Y., Ninomiya, K., Iwanaga, H., Hayashi, T., & Abe, O. (2025) · Radiological Physics and Technology · doi:10.1007/s12194-025-00906-1
Self-citationProspective quality control in chest radiography based on the reconstructed 3D human body
Tan, Y., Ye, Z., Ye, J., Hou, Y., Li, S., Liang, Z., Li, H., Tang, J., Xia, C., & Li, Z. (2025) · Physics in Medicine and Biology · doi:10.1088/1361-6560/ade94c
Mehta, J., Das, S., Singh, V. P., Pandey, R., Tewari, R. P., & Tiwari, A. K. (2026) · Health Information Science and Systems · doi:10.1007/s13755-025-00421-y
Lee, S., Jung, S., Jo, H., Yoon, Y., Sohn, H., Yoo, H. Y., Yoon, J., & Lee, T. (2026) · BioChip Journal · doi:10.1007/s13206-026-00264-z
Dual sagittal-guided coarse-to-fine rib segmentation and numbering in chest CT
Ko, S., Le, D.-T., Bum, J., & Choo, H. (2026) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-026-03576-2
Artificial Intelligence for COVID-19 Diagnosis
Căliman-Sturdza, O. A. (2026) · doi:10.3390/engproc2026148049
- Authors
- Inui, S., Gonoi, W., Kurokawa, R., Nakai, Y., Watanabe, Y., Sakurai, K., Ishida, M., Fujikawa, A., & Abe, O.
- Affiliations
- Self-Defense Forces Central Hospital (JP)
- The University of Tokyo (JP)
- University of Michigan (US)
- National Center for Geriatrics and Gerontology (JP)
- Corresponding author
- Inui, Shohei
- ORCID
- Venue
- Insights into Imaging
- Published
- 2021-11-02
- Volume
- 12
- Issue
- 1
- Pages
- 155-155
- ISSN
- 1869-4101 (ISSN-L)
- PMC
- PMC8561360
- OpenAlex
- W3210538021
- Cited by
- 42
- References
- 93
- Citations by year
- 2026: 4 · 2025: 6 · 2024: 8 · 2023: 14 · 2022: 10
- FWCI
- 0.94
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Locations
- Insights into Imaging (publishedVersion, cc-by)
- Europe PMC (PubMed Central) (publishedVersion, other-oa)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Deep Blue (University of Michigan) (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- University of Michigan Library
- 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 › Critical Care and Intensive Care Medicine › Ultrasound in Clinical Applications
- Keywords
- COVID-19 pandemic, chest imaging, chest CT, COVID-19 pneumonia, chest radiography, ultrasound, disease staging, risk stratification, clinical decompensation, COVID-19 screening, disease progression monitoring
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