Chest CT Findings in 2019 Novel Coronavirus (2019-Ncov) Infections from Wuhan, China: Key Points for the Radiologist

HomeRadiologyVol. 295, No. 1 PreviousNext Reviews and CommentaryFree AccessPerspectivesChest CT Findings in 2019 Novel Coronavirus (2019-nCoV) Infections from Wuhan, China: Key Points for the RadiologistJeffrey P. Kanne Jeffrey P. Kanne Author AffiliationsFrom the Department of Radiology, University of Wisconsin-Madison School of Medicine and Public Health, 600 Highland Ave, Madison, WI 53792.Address correspondence to the author ([email protected]).Jeffrey P. Kanne Published Online:Feb 4 2020https://doi.org/10.1148/radiol.2020200241MoreSectionsPDF ToolsAdd to favoritesCiteTrack CitationsPermissionsReprints ShareShare onFacebookXLinked In A cluster of patients with an acute severe lower respiratory tract illness linked to a seafood and live animal market was reported by public health officials in Wuhan, Hubei Province, China, in December 2019 (1). Shortly thereafter, the Chinese Center for Disease Control and Prevention commenced an investigation into the outbreak. A previously unknown coronavirus (2019 novel coronavirus [2019-nCoV]) was isolated from respiratory epithelial cells in these patients (2). Initially confined to Wuhan, the infection has spread elsewhere, with 9720 confirmed cases in China and 106 confirmed cases in other countries—including six in the United States as of January 31, 2020 (3,4).Seven coronaviruses are known to cause disease in humans (2,5,6). Two strains, severe acute respiratory syndrome coronavirus (SARS-CoV) and Middle East respiratory syndrome coronavirus (MERS-CoV), have zoonotic origins and have been linked to outbreaks of severe respiratory illnesses in humans (6). Although 2019-nCoV, too, is believed to have a zoonotic origin, person-to-person transmission has been documented (7).Most patients with 2019-nCoV infection present with fever (98%), cough (76%), and myalgia or fatigue (44%). Dyspnea has been reported in 55% of patients, developing in a median of 8 days after onset of initial symptoms. Six of 41 patients (15%) in the largest published cohort to date (8) died from their illness, and there are now 80 confirmed deaths (4).Limited information exists regarding chest imaging findings of 2019-nCoV lung infection (Table). One initial report included chest radiographs of a single patient. A bedside chest radiograph obtained 8 days after symptom onset showed bilateral lung consolidation with relative peripheral sparing. A radiograph obtained 3 days later showed more extensive, basal predominant lung consolidation with possible small pleural effusions corresponding to clinical worsening (2). A second report showed CT images from a single patient who had peripheral, bilateral ground-glass opacity (9). A different report of six family members with 2019-nCoV lung infection mentions lung opacities present on chest CT scans but lacks details on pattern or distribution aside from ground-glass opacities in an asymptomatic 10-year-old boy (7). A recent cohort study of 41 patients with confirmed 2019-nCoV infection included limited analysis of chest imaging studies. All but one patient was reported to have bilateral lung involvement on chest radiographs (8). Patients admitted to the intensive care unit were more likely to have larger areas of bilateral consolidation on CT scans, whereas patients not requiring admission to the intensive care unit with milder illness were more likely to have ground-glass opacity and small areas of consolidation, the latter description suggesting an organizing pneumonia pattern of lung injury. A study of CT scans of 21 patients with 2019-nCoV infection (10) showed three (21%) with normal CT scans, 12 (57%) with ground-glass opacity only, and six (29%) with ground-glass opacity and consolidation at presentation. Fifteen patients (71%) had two or more lobes involved, and 16 (76%) had bilateral disease. Interestingly, three patients (14%) had normal scans at diagnosis. One of those patients still had a normal scan at short-term follow-up. Seven other patients underwent follow-up CT (range, 1–4 days; mean, 2.5 days); five (63%) had mild progression, and two (25%) had moderate progression.Reported Chest CT Findings in 2019 Novel Coronavirus InfectionsOverall, the imaging findings reported for 2019-nCoV are similar to those reported for SARS-CoV (11–13) and MERS-CoV (14,15), not surprising as the responsible viruses are also coronaviruses. Given that up to 30% of patients with 2019-nCoV infection develop acute respiratory distress syndrome (8), chest imaging studies showing extensive consolidation and ground-glass opacity, typical of acute lung injury, are not unexpected (16,17). The long-term imaging features of 2019-nCoV are not yet known but presumably will resemble those of other causes of acute lung injury.As the number of reported cases of 2019-nCoV infection continue to increase, radiologists may encounter patients with this infection. A high index of suspicion and detailed exposure and travel history are critical to considering this diagnosis. In the correct clinical setting, bilateral ground-glass opacities or consolidation at chest imaging should prompt the radiologist to suggest 2019-nCoV as a possible diagnosis. Furthermore, a normal chest CT scan does not exclude the diagnosis of 2019-nCoV infection.Disclosures of Conflicts of Interest: Activities related to the present article: disclosed no relevant relationships. Activities not related to the present article: is a paid consultant for Parexel International; receives payment for development of educational presentations from Potomoc Continuing Medical Education. Other relationships: disclosed no relevant relationships.References1. Report of clustering pneumonia of unknown etiology in Wuhan City. Wuhan, China: Wuhan Municipal Health Commission, 2019. Google Scholar2. Zhu N, Zhang D, Wang W, et al. A Novel Coronavirus from Patients with Pneumonia in China, 2019. N Engl J Med doi: 10.1056/NEJMoa2001017. Published online January 25, 2020. Google Scholar3. 2019 Novel Coronavirus (2019-nCoV) in the U.S. Centers for Disease Control and Prevention https://www.cdc.gov/coronavirus/2019-ncov/cases-in-us.html. Updated February 3, 2020. Google Scholar4. Novel Coronavirus (2019-nCoV) Situation Report 7. Geneva, Switzerland: World Health Organization. Published online January 27, 2020. Google Scholar5. Su S, Wong G, Shi W, et al. Epidemiology, Genetic Recombination, and Pathogenesis of Coronaviruses. Trends Microbiol 2016;24(6):490–502. Crossref, Medline, Google Scholar6. Cui J, Li F, Shi ZL. Origin and evolution of pathogenic coronaviruses. Nat Rev Microbiol 2019;17(3):181–92. Crossref, Medline, Google Scholar7. Chan JF, Yuan S, Kok KH, et al. A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: a study of a family cluster. Lancet doi: 10.1016/s0140-6736(20)30154-9. Published online January 28, 2020. Google Scholar8. Huang C, Wang Y, Li X, et al. Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet doi: 10.1016/s0140-6736(20)30183-5. Published online January 28, 2020. Google Scholar9. Lei J, Li J, Xiaolong Q. CT Imaging of the 2019 Novel Coronavirus (2019-nCoV) Pneumonia. Radiology doi: https://doi.org/10.1148/radiol.2020200236. Published online January 31, 2020. Google Scholar10. Chung M, Bernheim A, Mei X, et al. CT imaging features of 2019 novel coronavirus (2019-nCoV). Radiology (in press). Google Scholar11. Muller NL, Ooi GC, Khong PL, Zhou LJ, Tsang KW, Nicolaou S. High-resolution CT findings of severe acute respiratory syndrome at presentation and after admission. AJR Am J Roentgenol 2004;182(1):39–44. Crossref, Medline, Google Scholar12. Nicolaou S, Al-Nakshabandi NA, Muller NL. SARS: imaging of severe acute respiratory syndrome. AJR Am J Roentgenol 2003;180(5):1247–1249. Crossref, Medline, Google Scholar13. Ooi GC, Khong PL, Muller NL, et al. Severe acute respiratory syndrome: temporal lung changes at thin-section CT in 30 patients. Radiology 2004;230(3):836–844. Link, Google Scholar14. Das KM, Lee EY, Al Jawder SE, et al. Acute Middle East Respiratory Syndrome Coronavirus: Temporal Lung Changes Observed on the Chest Radiographs of 55 Patients. AJR Am J Roentgenol 2015;205(3):W267–274. Crossref, Medline, Google Scholar15. Das KM, Lee EY, Enani MA, et al. CT correlation with outcomes in 15 patients with acute Middle East respiratory syndrome coronavirus. AJR Am J Roentgenol 2015;204(4):736–742. Crossref, Medline, Google Scholar16. Desai SR, Wells AU, Rubens MB, Evans TW, Hansell DM. Acute respiratory distress syndrome: CT abnormalities at long-term follow-up. Radiology 1999;210(1):29–35. Link, Google Scholar17. Desai SR. Acute respiratory distress syndrome: imaging of the injured lung. Clin Radiol 2002;57(1):8–17. Crossref, Medline, Google ScholarArticle HistoryReceived: Jan 29 2020Revision requested: Jan 30 2020Revision received: Feb 1 2020Accepted: Feb 3 2020Published online: Feb 4 2020Published in print: Apr 2020 FiguresReferencesRelatedDetailsCited ByLung ultrasound score predicts outcomes in patients with acute respiratory failure secondary to COVID-19 treated with non-invasive respiratory support: a prospective cohort studyMauroCastro-Sayat, NicolásColaianni-Alfonso, LuigiVetrugno, GustavoOlaizola, CristianBenay, FedericoHerrera, YasmineSaá, GuillermoMontiel, SantiagoHaedo, IgnacioPrevigliano, AdaToledo, CatalinaSiroti8 March 2024 | The Ultrasound Journal, Vol. 16, No. 1TransDL: A transfer learning-based concatenated model for Covid-19 identification and analysis of posteroanterior chest X-ray imagesManojeetRoy, UjwalaBaruah, VivekVarma19 September 2023 | Multimedia Tools and Applications, Vol. 83, No. 11Effective Screening and Face Mask Detection for COVID Spread Mitigation Using Deep Learning and Edge DevicesXishuangDong, LucyNwosu, SheikhRufsan Reza, XiangfangLi31 January 2024The macrostructure of lungs on multislice computed tomography scans in the long-term period after COVID-19 pneumoniaP. M.Kotlyarov, D. G.Soldatov, I. D.Lagkueva, Z. S.Tsallagova, V. A.Solodkiy11 December 2023 | PULMONOLOGIYA, Vol. 33, No. 6Doubts and concerns about COVID-19 uncertainties on imaging data, clinical score, and outcomesCosimoNardi, AndreaMagnini, LindaCalistri, EdoardoCavigli, Anna JuliePeired, VieriRastrelli, EdoardoCarlesi, GiuliaZantonelli, OlgaSmorchkova, LorenzoCinci, MartinaOrlandi, NicholasLandini, EdoardoBerillo, ChiaraLorini, JessicaMencarini, Maria GraziaColao, LeonardoGori, ValentinaLuzzi, ChiaraLazzeri, ElisaCipriani, ManuelaBonizzoli, FilippoPieralli, CarloNozzoli, AlessandroMorettini, FedericoLavorini, AlessandroBartoloni, Gian MariaRossolini, MarcoMatucci-Cerinic, SaraTomassetti, StefanoColagrande25 November 2023 | BMC Pulmonary Medicine, Vol. 23, No. 1Possibilities of CT in the diagnosis of pulmonary aspergillosis in patients with COVID-19 (literature review)Myo TunNay, A. L.Yudin, Y. A.Abovich17 July 2023 | Medical Visualization, Vol. 27, No. 4The Clinical Practices and Post-Treatment Care for COVID-19 Patients With Heart ComplicationsSumitKumar, TenzinDolma, SonaliDas Gupta2023Nov3Comparison between original SARS-CoV-2 strain and omicron variant on thin-section chest CT imaging of COVID-19 pneumoniaZengpingping, ZhouYanyu, SunXuri, HuangQiming, WangYi, TanGuoliang6 June 2023 | Die Radiologie, Vol. 63, No. S2Automatic statistical diagnosis of COVID-19 based on multi-modal CT feature extractionXiaohongFan, ZhichaoZuo, YunhuaLi, YingjunZhou, HaiboLiu, XiaoZhou, JianpingZhang2023Sep1 | Meta-Radiology, Vol. 1, No. 2Complete Blood Count and saliva parameters as an indicator for infected patients with coronavirus covid-19Sumaiah IHussein, Suha TAbd, Fadia AAL-khayat, Heba kMahmood15 March 2023 | Journal of Baghdad College of Dentistry, Vol. 35, No. 1Top Covers of the CentennialPeter Li, Simon Lennartz, Nikita Consul, Linda Moy, Susanna I. Lee, 19 December 2022 | Radiology, Vol. 306, No. 1Lecture Notes in Networks and SystemsDhirenDommeti, Siva Rama KrishnaNallapati, P. V. V. S.Srinivas, Venkata NareshMandhala2023 | , Vol. 558Lecture Notes in Electrical EngineeringM.Usha, P.Prittopaul, D.Lekha2023 | , Vol. 967Congruence of radiological scoring systems used in COVID-19 pneumonia and effect of comorbid diseases on radiological featuresHasanÖlmez, MustafaTosun, EdhemÜnver, DemetÖzer, ErdalKaravas, Yusuf KemalArslan2023 | Journal of Surgery and Medicine, Vol. 7, No. 1Mathematical Modelling to Predict the Effect of Vaccination on Delay and Rise of COVID-19 Cases ManagementCharuArora, PorasKhetarpal, SaketGupta, NuzhatFatema, HasmatMalik, AsyrafAfthanorhan2023 | Mathematics, Vol. 11, No. 4Multi-Features Disease Analysis Based Smart Diagnosis for COVID-19SirisatiRanga Swamy, S.Phani Praveen, ShakeelAhmed, ParvathaneniNaga Srinivasu, AbdulazizAlhumam2023 | Computer Systems Science and Engineering, Vol. 45, No. 1An enhanced ant colony optimizer with Cauchy-Gaussian fusion and novel movement strategy for multi-threshold COVID-19 X-ray image segmentationXiuzhiZhao, LeiLiu, Ali AsgharHeidari, YiChen, Benedict JunMa, HuilingChen, ShichaoQuan2023 | Frontiers in Neuroinformatics, Vol. 17Radiological Differences in COVID-19 Related Lung Manifestations Between Smokers and Non-smokers: A Single-Center Retrospective Study in JordanReemHasweh, Ghaidaa SKhlaifat, Belal NObeidat, Antoun AKhabaz, Mohammad BGhanayem, Luna FAl-Zioud, Farah JAl-Dabbas, Samer AAl_Shbailat2023 | CureusPediatric COVID-19: Correlations between Clinical and Imaging PerspectivesHeba A.Ali, Shaimaa A.Mohammad, AkioNiimi2023 | Pulmonary Medicine, Vol. 2023DBF-Net: a semi-supervised dual-task balanced fusion network for segmenting infected regions from lung CT imagesXiaoyanLu, YangXu, WenhaoYuan2023 | Evolving Systems, Vol. 14, No. 3Residual Dense Attention Networks for COVID-19 Computed Tomography Images Super ResolutionDefuQiu, YuhuCheng, XuesongWang2023 | IEEE Transactions on Cognitive and Developmental Systems, Vol. 15, No. 2Easy-to-treat and difficult-to-treat radiological phenotypes in coronavirus disease 2019 pneumonia: A single-center experienceShitalPatil, UttareshvarDhumal, DeepakPatil, AbhijitAcharya2023 | Radiology of Infectious Diseases, Vol. 10, No. 1Advances in Experimental Medicine and BiologyAtefehTalebi, NasrinBorumandnia, RamezanJafari, Mohamad AminPourhoseingholi, Nematollah JonaidiJafari, SaraAshtari, SaeidRoozpeykar, FarshidRahimiBashar, LeilaKarimi, Paul C.Guest, TannazJamialahmadi, AmirVahedian-Azimi, KeivanGohari-moghadam, AmirhosseinSahebkar2023 | , Vol. 14122023 4th International Conference on Intelligent Engineering and Management (ICIEM)AbhayChaturvedi, AnuragShrivastava, DevvretVerma, IndradeepKumar, ManishGupta, A. KakoliRao2023Communications in Computer and Information ScienceVandanaSharma, ShaliniSingh2023 | , Vol. 1781Assessing Role of HRCT Screening Policy among COVID-19 Test-Negative Symptomatic Patients in Ahmedabad, IndiaOmPrakash, BhavinSolanki, SanketPatel, DhirenPatel, JaySheth, PareshChaudhary, JayshreeModi2023 | Healthline, Vol. 14, No. 2A CNN based coronavirus disease prediction system for chest X-raysUmairHafeez, MuhammadUmer, AhmadHameed, HassanMustafa, AhmedSohaib, MicheleNappi, Hamza AhmadMadni2023 | Journal of Ambient Intelligence and Humanized Computing, Vol. 14, No. 10A new method for chest X-ray images categorization using transfer learning and CovidNet_2020 employing convolution neural networkP. S.Raghavendran, S.Ragul, R.Asokan, Ashok KumarLoganathan, SureshMuthusamy, Om PravaMishra, PonarunRamamoorthi, Suma Christal MarySundararajan2023 | Soft Computing, Vol. 27, No. 19Comparison of Hematological Parameters Between Survivors and Non-Survivors COVID-19 Patients in Saudi ArabiaNaif KBinsaleh, ReemEltayeb, SubuhiSherwani, Ali AAlmishaal, EmadHindi, HusamQanash, AbdulrahmanBazaid, Abdulmajeed OwayedAlharbi, MohammedBazaid, Shayaa AlsaadiAltamimi2023 | International Journal of General Medicine, Vol. Volume 16Engineering Materials and Devices for the Prevention, Diagnosis, and Treatment of COVID-19 and Infectious DiseasesJenniferSoto, ChaseLinsley, YangSong, BinruChen, JunFang, JosephineNeyyan, RaulDavila, BrandonLee, BenjaminWu, SongLi2023 | Nanomaterials, Vol. 13, No. 17Covid-19'lu Pediatrik Vakalardaki Toraks Tomografisi Bulgularının Yaşlara Göre Dağılımı , Thoracic computed tomography findings of pediatric COVID-19 cases according to age groupsHilal GülsmTURAN ÖZSOY, BehiyeORAL, İsaKILIÇ2023 | Ege Tıp Bilimleri Dergisi, Vol. 6, No. 2ML based prediction of COVID-19 diagnosis using statistical testsŞifaÖZSARI, Fatma ZehraORTAK, Mehmet SerdarGÜZEL, Mükerrem BaharBAŞKIR, Gazi ErkanBOSTANCI20 April 2023 | Communications Faculty of Sciences University of Ankara Series A2-A3 Physical Sciences and Engineering, Vol. 65, No. 2Dmbg-Net: Dilated multiresidual boundary guidance network for COVID-19 infection segmentationZhenwuXiang, QiMao, JintaoWang, YiTian, YanZhang, WenfengWang2023Jan1 | Mathematical Biosciences and Engineering, Vol. 20, No. 11Radiological Diagnosis of SARS-CoV-2 Infected Patients by Automated Classification of Chest Radiographs using DTLOana-IsabelaStirbu, Serban TeodorNicolescu, George CalinSeritan, Ioana RalucaAdochiei, GladiolaPetroiu, FlorinArgatu, Felix-ConstantinAdochiei2022Nov17Pediatric ENT InfectionsSelçukYıldız, Sema ZerToros, PhilippeRombaux2022Contemporary CardiologyStanisławSurma, JoannaLewek, MaciejBanach2022Lecture Notes on Data Engineering and Communications TechnologiesAnkitSharma, NikhilJha, KaushalKishor2022 | , Vol. 90Studies in Computational IntelligenceChiranji LalChowdhary, Harpreet KaurChanni2022 | , Vol. 1039Exploring the Deep-Learning Techniques in Detecting the Presence of Coronavirus in the Chest X-Ray Images: A Comprehensive ReviewK. SilpajaChandrasekar2022 | Archives of Computational Methods in Engineering, Vol. 29, No. 7COVINet: a convolutional neural network approach for predicting COVID-19 from chest X-ray imagesMuhammadUmer, ImranAshraf, SaleemUllah, ArifMehmood, Gyu SangChoi2022 | Journal of Ambient Intelligence and Humanized Computing, Vol. 13, No. 1Predicting pattern of coronavirus using X-ray and CT scan imagesPayalKhurana Batra, ParasAggarwal, DheerajWadhwa, MehulGulati2022 | Network Modeling Analysis in Health Informatics and Bioinformatics, Vol. 11, No. 1Deep Learning for Medical Applications with Unique DataJ.V.N.Lakshmi2022Biomedical Innovations to Combat COVID-19BalamuruganShanmugaraj, NarachKhorattanakulchai, WaranyooPhoolcharoen2022Clinical characteristics of hemodialysis patients with coronavirus disease 2019ShenghuaHuang, YanminZhang, FeiXiong, XinrongZou2022 | Asian Journal of Surgery, Vol. 45, No. 4Aspects scanographiques de la pneumopathie à COVID-19 à Ouagadougou: Étude multicentrique à propos de 1017 casBénilde Marie-AngeTiemtore-Kambou, Nafissa Djara MyrhaDao, AdjirataKoama, Pakisba AliOuedraogo, WilfriedOuedraogo, Arouna DésiréSankara, Issouf Franck N'DamaSieba, OusséiniDiallo, RabiouCisse2022 | Journal of Medical Imaging and Radiation Sciences, Vol. 53, No. 4Comparison of clinical, radiological and laboratory findings in discharged and dead patients with COVID-19MahbobeJafari, MaryamAkbari, MaryamNavidkia, ShirinDashtbin, Seyede FaezehMousavi, MohsenHeidary, SaeedKhoshnood2022 | Vacunas, Vol. 23Feature fusion based VGGFusionNet model to detect COVID-19 patients utilizing computed tomography scan imagesKhandaker Mohammad MohiUddin, Samrat KumarDey, Hafiz Md. HasanBabu, RafidMostafiz, ShahadatUddin, WatsharaShoombuatong, Mohammad AliMoni2022 | Scientific Reports, Vol. 12, No. 1COVID 19: Airway Management and Pharmacological StrategiesSonalChandra, AditiNarang, PratitiChoudhuri, KapilGupta2022 | Journal of Cardiac Critical Care TSS, Vol. 06, No. 03A novel e-healthcare diagnosing system for COVID-19 via whale optimization algorithmS.Punitha, FadiAl-Turjman, ThompsonStephan2022 | Journal of Experimental & Theoretical Artificial IntelligenceCOVID-19: clinical presentation and detection methodsMadhulikaPradhan, KamalShah, AmitAlexander, Ajazuddin, SunitaMinz, Manju RawatSingh, DeependraSingh, KrishnaYadav, Nagendra SinghChauhan2022 | Journal of Immunoassay and Immunochemistry, Vol. 43, No. 1A review on an ongoing pandemic caused by the severe acute respiratory syndrome coronavirus 2: the pathogenesis, epidemiology, immunological features, and currently available diagnostic testsSolmazOhadian Moghadam2022 | Reviews in Medical Microbiology, Vol. 33, No. 1Artificial Intelligence and Internet of Things (AI-IoT) Technologies in Response to COVID-19 Pandemic: A Systematic ReviewJunaid IqbalKhan, JebranKhan, FurqanAli, FarmanUllah, JamshidBacha, SungchangLee2022 | IEEE Access, Vol. 102022 26th International Conference on Pattern Recognition (ICPR)PranabSahoo, SriparnaSaha, SamratMondal, NelsonSharma2022Value of quantitative airspace disease measured on chest CT and chest radiography at initial diagnosis compared to clinical variables for prediction of severe COVID-19Hae-MinJung, RochelleYang, Warren B.Gefter, Florin C.Ghesu, BorisMailhe, AwaisMansoor, SasaGrbic, DorinComaniciu, SebastianVogt, Eduardo J.Mortani Barbosa2022 | Journal of Medical Imaging, Vol. 9, No. 03Increased levels of lactate dehydrogenase and hypertension are associated with severe illness of COVID-19Zhen-MuJin, Ji-ChanShi, MoZheng, Que-LuChen, Yue-YingZhou, FangCheng, JingCai, Xian-GaoJiang2022 | World Journal of Clinical Cases, Vol. 10, No. 1Patterns of HRCT Findings and Its Clinical Correlation in Covid-19 Patients of a Tertiary Care Hospital in AssamNayan ManiSarma, Deep KumarRoy, RupakBhuyan, Mohsina IslamBora2022 | Journal of Evolution of Medical and Dental Sciences, Vol. 11, No. 1Clinical Signs, Laboratory Diagnosis and Treatments Involved in Corona Viruses-19Israa Burhan Raoof, Zahraa Ahmed Okhti, Mayssaa E. Abdalah2022 | Al Mustansiriyah Journal of Pharmaceutical Sciences, Vol. 21, No. 1Distinguishing COVID-19 From Influenza Pneumonia in the Early Stage Through CT Imaging and Clinical FeaturesZhiqiYang, DaiyingLin, XiaofengChen, JinmingQiu, ShengkaiLi, RuibinHuang, ZhijianYang, HongfuSun, YutingLiao, JianningXiao, YanyanTang, XiangguangChen, ShengZhang, ZhuozhiDai2022 | Frontiers in Microbiology, Vol. 13Case Report: Next-Generation Sequencing in Diagnosis of Atypical Aspiration PneumoniaQuanZhang, WeiXu, FeiPeng, SiLei, YanjunZhong, JunYi, ShangjieWu2022 | Frontiers in Public Health, Vol. 9The Capacity of Artificial Intelligence in COVID-19 Response: A Review in Context of COVID-19 Screening and DiagnosisDilber UzunOzsahin, Nuhu AbdulhaqqIsa, BernaUzun2022 | Diagnostics, Vol. 12, No. 12Correlation of Lung Damage on CT Scan with Laboratory Inflammatory Markers in COVID-19 Patients: A Single-Center Study from RomaniaCosminCitu, Oana MariaGorun, AndreiMotoc, Ioana MihaelaCitu, FlorinGorun, DanielMalita2022 | Journal of Clinical Medicine, Vol. 11, No. 15A SINGLE-CENTRE RETROSPECTIVE AND OBSERVATIONAL INVESTIGATION ON THE MANIFESTATIONS OF COVID-19 ON CHEST HRCT IN THEPOPULATION OF ANDHRA PRADESH, INDIASuneethaPentyla, Sharmila BhanuPonnambalam, Devi SankarKaruppiah, HarshithChowdary Kolla, Ahammad BashaShaik2022 | GLOBAL JOURNAL FOR RESEARCH ANALYSISLessons from SARS‑CoV‑2 and its variants (Review)ZiwenQin, YanSun, JianZhang, LingZhou, YujuanChen, ChuanjunHuang2022 | Molecular Medicine Reports, Vol. 26, No. 2Chest multidetector computed tomography imaging of COVID-19 pneumonia patients with hematologic malignanciesAdelEl-Badrawy, NadaElbadrawy2022 | Blood Research, Vol. 57, No. 3Effects of Plant Metabolites on the Growth of COVID-19 (Coronavirus Disease-19) Including Omicron StrainHirojBagde, AshwiniDhopte2022 | CureusInvestigation of Serum Angiotensin-Converting Enzyme (ACE) Concentration and ACE Gene Polymorphism in Patients With SARS-CoV-2 Pneumonia Admitted to the Emergency DepartmentTarikGoren, AtakanYilmaz, MehmetUluturk, RamazanSabirli, AykutKemanci, MuratSeyit, MertOzen, AltenOskay, AylinKoseler, IbrahimTurkcuer2022 | CureusEvaluation of Follow-Up CT Scans in Patients with Severe Initial Pulmonary Involvement by COVID-19BehshadPazooki, AilarAhangari, Mohammad-MehdiMehrabi Nejad, NasimBatavani, FaezeSalahshour, SamiDeniz2022 | Canadian Respiratory Journal, Vol. 2022Encyclopedia of Infection and ImmunityDewaldSchoeman, BiancaGordon, Burtram C.Fielding2022Supervised and weakly supervised deep learning models for COVID-19 CT diagnosis: A systematic reviewHaseebHassan, ZhaoyuRen, ChengminZhou, Muazzam A.Khan, YiPan, JianZhao, BingdingHuang2022 | Computer Methods and Programs in Biomedicine, Vol. 218Communications in Computer and Information ScienceJitendraMehta, RameshPandey, Ravi PrakashTewari2022 | , Vol. 1738A Hybrid Approach for COVID-19 Detection Using Biogeography-Based Optimization and Deep LearningK.Venkatachalam, SiulySiuly, M.Vinoth Kumar, PraveenLalwani, ManasKumar Mishra, EnamulKabir2022 | Computers, Materials & Continua, Vol. 70, No. 2A Lightweight CNN Based on Transfer Learning for COVID-19 DiagnosisXiaoruiZhang, JieZhou, WeiSun, SunilKumar Jha2022 | Computers, Materials & Continua, Vol. 72, No. 1Therapeutic monoclonal antibodies for COVID-19 management: an updateVivek PChavda, RiddhiPrajapati, DishaLathigara, BhumiNagar, JayKukadiya, Elrashdy MRedwan, Vladimir NUversky, Mukesh NKher, RajviPatel2022 | Expert Opinion on Biological Therapy, Vol. 22, No. 6Prognostic Value of Chest CT in the Elderly Patients Admitted with COVID-19 PneumoniaMohammadMİRZA-AGHAZADEH-ATTARİ, AfshinMOHAMMADİ, RezaRİKHTEGAR, EbrahimFARASHİ, Seyed AliMUSAVİ-AGHDAS, AminARASTEH, AlisaMOHEBBİ, MohammadKHALAFİ2022 | Düzce Tıp Fakültesi Dergisi, Vol. 24, No. 2Evaluation of Computed Tomography and PCR Results of Patients Admitted to Pandemic Hospital in Terms of COVID-19GülayMAÇİN, SalihMAÇİN, Prof. Dr. UğurARSLAN2022 | Journal of Contemporary Medicine, Vol. 12, No. 3SARS-CoV-2, MANEJO DIAGNÓSTICO- TERAPEÚTICOManuel AlfredoCampoverde Cisneros, Luisa CeciliaAltamirano Cordero, Adriana FernandaUlloa Castro, Mauro JavierArcentales Cayamcela, Larry MiguelTorres Criollo2022 | Tesla Revista CientíficaThoracic imaging tests for the diagnosis of COVID-19SanamEbrahimzadeh, NayaarIslam, HabenDawit, Jean-PaulSalameh, SakibKazi, NicholasFabiano, LeeTreanor, MarissaAbsi, FarazAhmad, PaulRooprai, AhmedAl Khalil, KellyHarper, NeilKamra, Mariska MGLeeflang, LottyHooft, Christian Bvan der Pol, RossPrager, Samanjit SHare, CaroleDennie, RenéSpijker, Jonathan JDeeks, JacquelineDinnes, KevinJenniskens, Daniël AKorevaar, Jérémie FCohen, AnnVan den Bruel, YemisiTakwoingi, Jannekevan de Wijgert, JunfengWang, ElenaPena, SandraSabongui, Matthew DFMcInnes2022 | Cochrane Database of Systematic Reviews, Vol. 2022, No. 6COVID‐19: A systematic review and update on prevention, diagnosis, and treatmentHoomanAghamirza Moghim Aliabadi, RezaEivazzadeh‐Keihan, ArezooBeig Parikhani, SaraFattahi Mehraban, AliMaleki, SepidehFereshteh, MasoumeBazaz, AshkanZolriasatein, BaharehBozorgnia, SamanRahmati, FatemehSaberi, ZeinabYousefi Najafabadi, ShadiDamough, SaraMohseni, HamidSalehzadeh, VahidKhakyzadeh, HamidMadanchi, Gholam AliKardar, PayamZarrintaj, Mohammad RezaSaeb, MasoudMozafari2022 | MedComm, Vol. 3, No. 1Alta prevalencia de infección por SARS-CoV-2 en pacientes programados para endoscopia digestiva después del pico de la primera onda pandémicaJavierPamplona, RubénSolano, ManelRamírez, RosaDurandez, FatimetuMohamed, LauraPardo, MiriamSàbat2021Nov1 | Gastroenterología y Hepatología, Vol. 44, No. 9Comparación de los hallazgos en la tomografía computarizada de pacientes adultos y pediátricos con COVID-19J.V.Waller, K.K.Lin, M.J.Diaz, T.Miao, A.Amireh, Ch.Agyemang, R.E.Carter, S.Bae, T.Henry2021Nov1 | Radiología, Vol. 63, No. 6Medical imaging and computational image analysis in COVID-19 diagnosis: A reviewShahabedinNabavi, Aza