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Coronavirus Disease 2019 (COVID-19) CT Findings: A Systematic Review and Meta-analysis
Open accessAbstract
Purpose To date, considerable knowledge gaps remain regarding the chest CT imaging features of coronavirus disease 2019 (COVID-19). We performed a systematic review and meta-analysis of results from published studies to date to provide a summary of evidence on detection of COVID-19 by chest CT and the expected CT imaging manifestations.Methods Studies were identified by searching PubMed database for articles published between December 2019 and February 2020. Pooled CT positive rate of COVID-19 and pooled incidence of CT imaging findings were estimated using a random-effect model.Results A total of 13 studies met inclusion criteria. The pooled positive rate of the CT imaging was 89.76% and 90.35% when only including thin-section chest CT. Typical CT signs were ground glass opacities (83.31%), ground glass opacities with mixed consolidation (58.42%), adjacent pleura thickening (52.46%), interlobular septal thickening (48.46%), and air bronchograms (46.46%). Other CT signs included crazy paving pattern (14.81%), pleural effusion (5.88%), bronchiectasis (5.42%), pericardial effusion (4.55%), and lymphadenopathy (3.38%). The most anatomic distributions were bilateral lung infection (78.2%) and peripheral distribution (76.95%). The incidences were highest in the right lower lobe (87.21%), left lower lobe (81.41%), and bilateral lower lobes (65.22%). The right upper lobe (65.22%), right middle lobe (54.95%), and left upper lobe (69.43%) were also commonly involved. The incidence of bilateral upper lobes was 60.87%. A considerable proportion of patients had three or more lobes involved (70.81%).Conclusions The detection of COVID-19 chest CT imaging is very high among symptomatic individuals at high risk, especially using thin-section chest CT. The most common CT features in patients affected by COVID-19 included ground glass opacities and consolidation involving the bilateral lungs in a peripheral distribution.
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“The global pandemic caused by COVID-19 and the subsequent lockdown have been widely recognized as traumatic events that pose threats to psychological well-being.”
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Bias in meta-analysis detected by a simple, graphical test
Egger, M., Smith, G. D., Schneider, M., & Minder, C. (1997) · BMJ · doi:10.1136/bmj.315.7109.629 · Cited by 56,722
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
Quantifying heterogeneity in a meta‐analysis
Higgins, J. P. T., & Thompson, S. G. (2002) · Statistics in Medicine · doi:10.1002/sim.1186 · Cited by 36,763
Clinical characteristics of coronavirus disease 2019 in China
Guan, W.-J., Ni, Z.-Y., Hu, Y., Liang, W.-H., Ou, C.-Q., He, J.-X., Liu, L., Shan, H., Lei, C.-L., Hui, D. S. C., et al. (2020) · New England Journal of Medicine · doi:10.1056/nejmoa2002032 · Cited by 30,246
Self-citationChen, 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
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
Clinical characteristics of 140 patients infected with SARS‐CoV‐2 in Wuhan, China
Zhang, J., Dong, X., Cao, Y., Yuan, Y.-D., Yang, Y., Yan, Y., Akdiş, C. A., & Gao, Y. (2020) · Allergy · doi:10.1111/all.14238 · Cited by 4,088
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
SARS and MERS: recent insights into emerging coronaviruses
de Wit, E., van Doremalen, N., Falzarano, D., & Munster, V. J. (2016) · Nature Reviews Microbiology · doi:10.1038/nrmicro.2016.81 · Cited by 3,510
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
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- Xie, 2020, Chest CT for typical 2019-nCoV pneumonia: relationship to negative RT-PCR testing, Radiology, 200343
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Items 101–200 of 443
de Lima, L. C. M., Leal, T. R., de Araújo, L. J. S., Sousa, M. L. C., da Silva, S. E., Serra‐Negra, J. M., Ferreira, F. M., Paiva, S. M., & Granville-Garcia, A. F. (2022) · Brazilian Oral Research · doi:10.1590/1807-3107bor-2022.vol36.0046 · Cited by 20
Chest CT abnormalities in COVID-19: a systematic review
Ghayda, R. A., Lee, K. H., Kim, J., Lee, S., Hong, S. H., Kim, K. S., Kim, K. E., Seok, J., Kim, H.-J., Seo, J., et al. (2021) · International Journal of Medical Sciences · doi:10.7150/ijms.50568 · Cited by 16
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Kaliyugarasan, S., Lundervold, A., & Lundervold, A. S. (2021) · International Journal of Interactive Multimedia and Artificial Intelligence · doi:10.9781/ijimai.2021.05.002 · Cited by 15
The novel coronavirus pneumonia (COVID-19): a pictorial review of chest CT features
Bayraktaroğlu, S., Çinkooğlu, A., Ceylan, N., & Savaş, R. (2020) · Diagnostic and Interventional Radiology · doi:10.5152/dir.2020.20304 · Cited by 16
Albano, D., Bertagna, F., Alongi, P., Baldari, S., Baldoncini, A., Bartolomei, M., Boccaletto, F., Boero, M., Borsatti, E., Bruno, A., et al. (2021) · European Journal of Nuclear Medicine and Molecular Imaging · doi:10.1007/s00259-021-05219-0 · Cited by 15
Computed tomography of the chest in patients with COVID-19: what do radiologists want to know?
Razek, A. A. K. A., Fouda, N., Fahmy, D. M., tantawy, M., Sultan, A., Bilal, M., Zaki, M. E. S., Abdel-Aziz, M., & Sobh, D. M. (2021) · Polish Journal of Radiology · doi:10.5114/pjr.2021.104049 · Cited by 15
Recomendaciones SEPAR sobre la vacuna COVID-19 en las enfermedades respiratorias
Álvarez, F. V., Martínez‐García, M. Á., Jiménez, D. G., Fariñas-Guerrero, F., de Lejarazu-Leonardo, R. O., López-Campos, J. L., Blanco‐Aparicio, M., Royo-Crespo, Í., García‐Ortega, A., García, A. T., et al. (2021) · Open Respiratory Archives · doi:10.1016/j.opresp.2021.100097 · Cited by 15
Öztürk, S., Turgutalp, K., Arıcı, M., Gök, M., İslam, M., Altıparmak, M. R., Aydın, Z., Döner, B., Eren, N., Şengül, E., et al. (2021) · International Journal of Clinical Practice · doi:10.1111/ijcp.14428 · Cited by 15
Yang, Y., Li, Q., Guo, Y., Liu, Y., Xian, L., Guo, J., Li, W., Cheng, L., Chen, H., & Kang, Y. (2021) · Mathematical Biosciences & Engineering · doi:10.3934/mbe.2021210 · Cited by 15
Derveni, V., Kaniaris, E., Toumpanakis, D., Potamianou, E., Ioannidou, I., Theodoulou, D., Kyriakoudi, A., Kyriakopoulou, M., Pontikis, K., & Daganou, M. (2020) · IDCases · doi:10.1016/j.idcr.2020.e00898 · Cited by 15
Immunopathology, host-virus genome interactions, and effective vaccine development in SARS-CoV-2
Singh, D. D., Han, I., Choi, E. H., & Yadav, D. K. (2020) · Computational and Structural Biotechnology Journal · doi:10.1016/j.csbj.2020.11.011 · Cited by 14
Pal, A., Ali, A., Young, T. R., Oostenbrink, J., Prabhakar, A., Prabhakar, A., Deacon, N., Arnold, A., Eltayeb, A., Yap, C., et al. (2021) · World Journal of Radiology · doi:10.4329/wjr.v13.i9.258 · Cited by 14
Er, A. G., Ding, D. Y., Er, B., Uzun, M., Cakmak, M., Sadée, C., Durhan, G., Ozmen, M. N., Tanrıöver, M. D., Topeli̇, A., et al. (2024) · npj Digital Medicine · doi:10.1038/s41746-024-01128-2 · Cited by 15
Pleural diseases and COVID-19:ubi fumus, ibi ignis
Porcel, J. M. (2020) · European Respiratory Journal · doi:10.1183/13993003.03308-2020 · Cited by 13
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Mousavi, S. F., Ebrahimi, M., Moghaddam, S. A. A., Moafi, N., Jafari, M., Tavakolian, A., & Heidary, M. (2022) · Vacunas (English Edition) · doi:10.1016/j.vacun.2022.08.002 · Cited by 13
Lung Changes on Chest CT During 2019 Novel Coronavirus (COVID-19) Pneumonia
Çinkooğlu, A., Bayraktaroğlu, S., & Savaş, R. (2020) · European Journal of Breast Health · doi:10.5152/ejbh.2020.010420 · Cited by 14
Spock, T., Kessler, R. A., Lerner, D. K., Filip, P., Signore, A. D., Colley, P. M., Morgenstern, P. F., Schaberg, M. R., Bederson, J. B., Govindaraj, S., et al. (2020) · Otolaryngology · doi:10.1177/0194599820931836 · Cited by 13
Sushentsev, N., Bura, V., Kotnik, M., Shiryaev, G. A., Caglič, I., Weir-McCall, J. R., & Barrett, T. (2020) · BJR|Open · doi:10.1259/bjro.20200053 · Cited by 13
Relationship between serum soluble endothelial protein C receptor level and COVID-19 findings
Bayrakçı, N., Özkan, G., Mutlu, L. C., Erdem, L., Yıldırım, İ., Gülen, D., & Çelikkol, A. (2021) · Blood Coagulation & Fibrinolysis · doi:10.1097/mbc.0000000000001070 · Cited by 13
Lampert, J., Miller, M. S., Halperin, J. L., Oates, C. P., Giustino, G., Nelson, K. A., Feinman, J., Kocovic, N., Pulaski, M., Musikantow, D. R., et al. (2021) · The American Journal of Cardiology · doi:10.1016/j.amjcard.2021.07.048 · Cited by 13
Zhang, L., Lei, Z., Xiao, C., Du, Z., Jiang, C., Yuan, X., Hu, Q., Zhai, S., Xu, L., Liu, C., et al. (2022) · Frontiers in Sensors · doi:10.3389/fsens.2022.1015223 · Cited by 13
Malik, J., Javed, N., Naeem, H., Rana, A. S., & Ikram, U. (2020) · European Journal of Case Reports in Internal Medicine · doi:10.12890/2020_001842 · Cited by 12
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Capone, V., Cuomo, V., Esposito, R., Canonico, M. E., Ilardi, F., Prastaro, M., Esposito, G., & Santoro, C. (2020) · Expert Review of Cardiovascular Therapy · doi:10.1080/14779072.2020.1797491 · Cited by 12
Doerschug, K. C., & Schmidt, G. A. (2022) · Annual Review of Medicine · doi:10.1146/annurev-med-042220-014817 · Cited by 11
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Sapienza, L. G., Nasra, K., Calsavara, V. F., Little, T., Narayana, V., & Abu-Isa, E. I. (2021) · European Journal of Radiology Open · doi:10.1016/j.ejro.2021.100322 · Cited by 11
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Yeh, R., Elsakka, A., Wray, R., Johnston, R. P., Gangai, N. C., Yarmohammadi, H., Schöder, H. M., & Pandit-Taskar, N. D. (2021) · Clinical Imaging · doi:10.1016/j.clinimag.2021.08.002 · Cited by 11
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Ling, R., Yu, Y., He, J., Zhang, J., Xu, S., Sun, R., Zhu, W., Chen, M., Li, T., Ji, H., et al. (2020) · medRxiv · doi:10.1101/2020.06.16.20132423 · Cited by 11
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Woo, W., Kipkorir, V., Marza, A. M., Hamouri, S., Albawaih, O., Dhali, A., Kim, W.-S., Udwadia, Z. F., Nashwan, A. J., Shaikh, N., et al. (2022) · Journal of Clinical Medicine · doi:10.3390/jcm11237132 · Cited by 10
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Landini, N., Orlandi, M., Fusaro, M., Ciet, P., Nardi, C., Bertolo, S., Catalanotti, V., Matucci‐Cerinic, M., Colagrande, S., & Morana, G. (2020) · Journal of Cardiovascular Echography · doi:10.4103/jcecho.jcecho_59_20 · Cited by 10
Jalali, A., Karimialavijeh, E., Babaniamansour, P., Aliniagerdroudbari, E., & Babaniamansour, S. (2021) · Frontiers in Emergency Medicine · doi:10.18502/fem.v5i4.6691 · Cited by 10
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Turan, O., Mirici, A., Duru, S. A., Turan, P. A., Batum, Ö., Şengül, A., Ekici, Z., Kabakoğlu, N. I., Ogan, N., Torun, Ş., et al. (2021) · International Journal of Clinical Practice · doi:10.1111/ijcp.14786 · Cited by 10
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AlAmodi, A. A., Shareef, M., Bashaiwth, H., AlAkbari, A., Bahamran, M., Alamodi, M. O., Albaiti, S., Ali, M., Eshaq, A. M., & AlKattan, K. M. (2020) · Avicenna Journal of Medicine · doi:10.4103/ajm.ajm_175_20 · Cited by 10
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Rocha, A. S., Meireles, M., Vilaça, H., Guimarães, T., Martins, M. D., Santos, L. R., Castro, A., & Mesquita, M. (2021) · Journal of Infection · doi:10.1016/j.jinf.2021.06.025 · Cited by 10
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Nurlankyzy, N. A. (2019) · International Journal of Engineering and Management Research · doi:10.31033/ijemr.9.2.22 · Cited by 9
Hatami, H., Soleimantabar, H., Ghasemian, M., Delbari, N., & Aryannezhad, S. (2021) · Journal of Research in Health Sciences · doi:10.34172/jrhs.2021.44 · Cited by 9
Özdemir, B., Erden, A., Güven, S. C., Armağan, B., Apaydın, H., Karakaş, Ö., Akdağ, A. G., Ateş, İ., Küçükşahin, O., & Omma, A. (2021) · Rheumatology International · doi:10.1007/s00296-021-04896-2 · Cited by 9
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Alipour, R., Hashemi, S. H., & Mikaeili, F. (2020) · International Journal of Research in Medical Sciences · doi:10.18203/2320-6012.ijrms20202911 · Cited by 8
Misdiagnosis related to premature diagnostic closure during the COVID-19 pandemic
Budhram, B., Kobza, A. O., & Mohammed, N. K. (2020) · Canadian Medical Association Journal · doi:10.1503/cmaj.201426 · Cited by 9
Birk, R., Shaw, D. E., Kennedy, C., Higashi, Y., Patel, R., Gupta, A., & Au-Yong, I. T. H. (2020) · Current Problems in Diagnostic Radiology · doi:10.1067/j.cpradiol.2020.09.014 · Cited by 9
Tanaçan, A., Anuk, A. T., Erol, S. A., Keskin, H. L., Altınboğa, O., Yakıştıran, B., Aydoğan, S., Ünlü, S., Eyı, E. G. Y., Tayman, C., et al. (2021) · The Journal of Maternal-Fetal & Neonatal Medicine · doi:10.1080/14767058.2021.1900105 · Cited by 8
Giwangkancana, G. W., Rahmi, A., Indriasari, I., & Hidayat, N. N. (2021) · Perioperative Care and Operating Room Management · doi:10.1016/j.pcorm.2021.100198 · Cited by 9
Göktuğ, A. Y., Güngör, A., Öz, F. N., Akelma, A. Z., Güneylioğlu, M. M., Yaradılmış, R. M., Bodur, İ., Öztürk, B., Tekeli, A., Karacan, C. D., et al. (2021) · Journal of Tropical Pediatrics · doi:10.1093/tropej/fmab066 · Cited by 9
Zhang, H., Sun, Z., Zhou, J. H., Gao, S., Dong, J., Liu, Y., Bai, X., Ma, J., Li, M., Li, G., et al. (2023) · Frontiers in Cellular and Infection Microbiology · doi:10.3389/fcimb.2023.1116285 · Cited by 9
Segmentation of lung lobes and lesions in chest CT for the classification of COVID-19 severity
Khomduean, P., Phuaudomcharoen, P., Boonchu, T., Taetragool, U., Chamchoy, K., Wimolsiri, N., Jarrusrojwuttikul, T., Chuajak, A., Techavipoo, U., & Tweeatsani, N. (2023) · Scientific Reports · doi:10.1038/s41598-023-47743-z · Cited by 8
Assessment of COVID-19 severity using computed tomography imaging
Sharma, P., Mahajan, A., Rane, S. U., & Bhattacharjee, A. (2021) · Cancer Research Statistics and Treatment · doi:10.4103/crst.crst_292_20 · Cited by 8
Bucher, A. M., Henzel, K., Meyer, H., Ehrengut, C., Müller, L., Schramm, D., Akinina, A., Drechsel, M., Kloeckner, R., Isfort, P., et al. (2023) · Academic Radiology · doi:10.1016/j.acra.2023.12.003 · Cited by 8
Zang, S., Xu, H., Cui, Q., Chang, Q., Wu, Q., & Zhao, Y. (2021) · Translational Pediatrics · doi:10.21037/tp-20-281 · Cited by 8
Şanlı, D. E. T., Yıldırım, D., Şanlı, A. N., Türkmen, S., Erozan, N., Hüsmen, G., Altundağ, A., & Tüzüner, F. (2021) · Military Medical Research · doi:10.1186/s40779-021-00301-y · Cited by 8
Hamdy, W., Elansary, I., Darwish, A., & Hassanien, A. E. (2021) · Studies in systems, decision and control · doi:10.1007/978-3-030-63307-3_3 · Cited by 8
Qaisieh, R., Al‐Tamimi, M., El-Hammuri, N. M., Shalabi, M., Kilani, M. M., Taha, H. A., Al-Muhtaseb, A., Alfarrajin, I., Shaqra, M. A., & Hamdan, A. (2021) · JMIR Public Health and Surveillance · doi:10.2196/28005 · Cited by 8
Bode, S. F. N., Haendly, M., Fabricius, D., Mayer, B., Zernickel, M., Haddad, A. D. M., Frieh, P., Elling, R., Renk, H., Stich, M., et al. (2022) · Frontiers in Pediatrics · doi:10.3389/fped.2022.894331 · Cited by 9
Parczewski, M., Kufel, J., Aksak‐Wąs, B., Piwnik, J., Chober, D., Puzio, T., Lesiewska, L., Białkowski, S., Rafalska‐Kosior, M., Wydra, J., et al. (2023) · Journal of Medical Virology · doi:10.1002/jmv.28787 · Cited by 8
Faqihi, F. A., Alharthy, A. M., Pirompanich, P., Noor, A. S. N., Shahzad, A., Nasim, N., Balhamar, A., Memish, Z. A., & Karakitsos, D. (2020) · Respiratory Medicine Case Reports · doi:10.1016/j.rmcr.2020.101203 · Cited by 9
Al-Momani, H. (2024) · Tomography · doi:10.3390/tomography10060071 · Cited by 7
Xiong, Y., Gao, Y., Qi, Y., Zhi, Y., Xu, J., Wang, K., Yang, Q., Wang, C., Zhao, M., & Meng, X. (2025) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-025-02869-0 · Cited by 10
Foust, A. M., Winant, A. J., Restrepo, R., Liszewski, M. C., Plut, D., & Lee, E. Y. (2020) · Journal of Thoracic Imaging · doi:10.1097/rti.0000000000000565 · Cited by 7
Pulmonary CT findings in Patients Recovered from COVID-19 Pneumonia
Fadhil, S. A., & Abdulghani, M. (2022) · AL-Kindy College Medical Journal · doi:10.47723/kcmj.v18i3.828 · Cited by 7
Strongyloides and COVID-19: Challenges and Opportunities for Future Research
Seeger, D., Cisneros, E. C., Lucar, J. A., & Denyer, R. (2023) · Tropical Medicine and Infectious Disease · doi:10.3390/tropicalmed8020127 · Cited by 8
Pulmonary evaluation of post-COVID-19 patients: an Ecuadorian experience
Chérrez-Ojeda, I., Sánchez-Angarita, E., Vanegas, E., Bajaña, M. J. F., Robles‐Velasco, K., Osorio, M. F., Sarfraz, A., Sarfraz, Z., Calderón, J. C., Cáneva, J., et al. (2022) · Journal of Community Hospital Internal Medicine Perspectives · doi:10.55729/2000-9666.1031 · Cited by 7
Abdel‐Basset, M., Hawash, H., & Chang, V. I. C. (2022) · IEEE Transactions on Industrial Informatics · doi:10.1109/tii.2022.3146175 · Cited by 7
Tomoda, Y., Miyajima, T., Nagasawa, C., & Awaya, Y. (2021) · BMJ Case Reports · doi:10.1136/bcr-2021-244564 · Cited by 7
Rahman, M. M., & Rahaman, M. S. (2021) · Journal of Education Management and Development Studies · doi:10.52631/jemds.v1i2.33 · Cited by 7
Alıcı, Y. H., Çınar, G., Hasanlı, J., Ceran, S., Onar, D., Gülten, E., Kalkan, İ. A., Memikoğlu, K. O., ÇELİK, Ç. O., & Devrimci-Ozguven, H. (2022) · PsyCh Journal · doi:10.1002/pchj.557 · Cited by 6
Immune-based therapeutic approaches in COVID-19
Moeinafshar, A., Yazdanpanah, N., & Rezaei, N. (2022) · Biomedicine & Pharmacotherapy · doi:10.1016/j.biopha.2022.113107 · Cited by 7
Shekarnabi, M., Guillien, A., Terzi, N., Sigaud, F., Bitker, L., Roux, E., Ahaouari, T., Serrano, E. E. D., Boussel, L., Ferretti, G., et al. (2025) · Respiratory Research · doi:10.1186/s12931-025-03232-7 · Cited by 6
Lethal outcome of Covid-19 pneumonia in a new liver recipient with neurological manifestation.
Eslami, P., Moradi, M., Moghadam, A. D., Pirsalehi, A., Lateef, S. A., Hadaegh, A., Rezai, B., Sadeghi, A., Aghdaei, H. A., & Zali, M. R. (2020) · Gastroenterology and hepatology from bed to bench. · Cited by 6
COVID-19 Diagnosis with Deep Learning
Reis, H. Ç. (2021) · Ingeniería e Investigación · doi:10.15446/ing.investig.v42n1.88825 · Cited by 7
Mediastinal lymphadenopathy and prognosis of COVID-19 disease
Pilechian, S., Pirsalehi, A., & Arabkoohi, A. (2021) · Iranian Journal of Microbiology · doi:10.18502/ijm.v13i4.6974 · Cited by 6
Radiological Features of COVID-19 Patients in Hodeidah, Yemen
Suhail, F. A., & Kamarany, M. A. A. (2021) · Asian Journal of Research in Infectious Diseases · doi:10.9734/ajrid/2021/v8i430256 · Cited by 6
Jafari, M., Akbari, M., Navidkia, M., Dashtbin, S., Mousavi, S. F., Heidary, M., & Khoshnood, S. (2022) · Vacunas · doi:10.1016/j.vacun.2022.05.002 · Cited by 6
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Holby, S. N., Richardson, T. L., Laws, J. L., McLaren, T. A., Soslow, J. H., Baker, M., Dendy, J. M., Clark, D. E., & Hughes, S. G. (2023) · Circulation Research · doi:10.1161/circresaha.122.321882 · Cited by 6
Cheong, H. H., Sio, F. I., Chan, C. C., Neng, S. I., Sam, I. P., Cheang, T., Tou, W. I., Hong, L., Cheong, T. F., Lao, E. P. L., et al. (2023) · Health Science Reports · doi:10.1002/hsr2.1361 · Cited by 6
A novel IoT-based deep neural network for COVID-19 detection using a soft-attention mechanism
Fki, Z., Ammar, B., Fourati, R., Fendri, H., Daoued, E., Mnif, Z., Hussain, A., & Ayed, M. B. (2023) · Multimedia Tools and Applications · doi:10.1007/s11042-023-17642-6 · Cited by 8
Liu, Y., Wang, M., Chen, F., Zhang, Y., & Hai, W. (2024) · Microchimica Acta · doi:10.1007/s00604-024-06345-w · Cited by 6
Tomographic findings in patients with COVID-19 according to evolution of the disease
Quispe-Cholan, A., Anticona-De-La-Cruz, Y., Cornejo, M., Quispe-Chirinos, O., Moreno-Lazaro, V., & Chávez-Cruzado, E. (2020) · The Egyptian Journal of Radiology and Nuclear Medicine · doi:10.1186/s43055-020-00329-5 · Cited by 6
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Amin, H., Darwish, A., & Hassanien, A. E. (2021) · Studies in systems, decision and control · doi:10.1007/978-3-030-63307-3_7 · Cited by 6
Spontaneous pneumothorax as a delayed complication after recovery from COVID-19
Marzocchi, G., Vassallo, A., & Monteduro, F. (2021) · BMJ Case Reports · doi:10.1136/bcr-2021-243578 · Cited by 6
COVID-19 and Multiorgan Dysfunction Syndrome
Lakhani, J. D., Kapadia, S., Choradiya, R., Gill, R., & Lakhani, S. J. (2021) · IntechOpen eBooks · doi:10.5772/intechopen.99676 · Cited by 6
Chen, Y., Li, L., Zhang, Q., Liu, H., Huang, Y., Lin, S., Yin, G., & Xie, Q. (2021) · Medicine · doi:10.1097/md.0000000000027950 · Cited by 6
Cardiovascular Complications in Coronavirus Disease 2019—Pathogenesis and Management
Restrepo, M. I., Marín‐Corral, J., Rodríguez, J. J. B., Restrepo, V., & Cavallazzi, R. (2023) · Seminars in Respiratory and Critical Care Medicine · doi:10.1055/s-0042-1760096 · Cited by 7
Epstein–Barr virus and cytomegalovirus coinfection in Egyptian COVID-19 patients
Barakat, E. F., Sherief, A. F., Elsheikh, N. G., & Khalifa, M. M. M. E.-M. (2023) · Egyptian Liver Journal · doi:10.1186/s43066-023-00262-y · Cited by 5
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Du, X., Gao, Y., Kang, K., Chong, Y., Zhang, M., Yang, W., Wang, C., Meng, X., Fei, D., Dai, Q., et al. (2021) · World Journal of Clinical Cases · doi:10.12998/wjcc.v9.i21.5955 · Cited by 5
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Metadata
- Authors
- Bao, C., Liu, X., Zhang, H., Li, Y., & Liu, J.
- Affiliations
- Tianjin Medical University (CN)
- Corresponding author
- Li, Yiming
- Liu, Jun
- Venue
- Journal of the American College of Radiology
- Publisher
- Elsevier BV
- Published
- 2020-06
- Volume
- 17
- Issue
- 6
- Pages
- 701-709
- ISSN
- 1546-1440 (ISSN-L)
- PMC
- PMC7151282
- OpenAlex
- W3012931235
- Cited by
- 446
- References
- 34
- Citations by year
- 2026: 7 · 2025: 13 · 2024: 36 · 2023: 53 · 2022: 95 · 2021: 143 · 2020: 97
- FWCI
- 4.58
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Journal of the American College of 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 › Pulmonary and Respiratory Medicine › Medical Imaging and Pathology Studies
- Keywords
- COVID-19 pandemic, SARS-CoV-2, chest CT, computed tomography findings, ground-glass opacities, consolidation, thin-section CT, lung lobe distribution, diagnostic accuracy, crazy-paving pattern, interlobular septal thickening, air bronchogram
- MeSH terms
- Betacoronavirus, COVID-19, SARS-CoV-2, Female, Humans, Male, Pneumonia, Viral, Sensitivity and Specificity, Radiography, Thoracic, Tomography, X-Ray Computed, Coronavirus Infections, Pandemics
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