COVID-19 and MERS: Are their Chest X-ray and Computed Tomography Scanning Signs Related?

被引:0
|
作者
Ghaderian, Mohammad [1 ]
Kiani, Mahboobe [1 ]
Shahbazi-Gahrouei, Sogand [2 ]
Shahbazi-Gahrouei, Daryoush [1 ]
Moghadam, Abdolkarim Ghadimi [3 ]
Haghani, Masoud [4 ]
机构
[1] Isfahan Univ Med Sci, Sch Med, Dept Med Phys, Esfahan, Iran
[2] Islamic Azad Univ, Fac Humanities, Dept Management, Najafabad Branch, Esfahan, Iran
[3] Yasuj Univ Med Sci, Pediat Infect Ward, Yasuj, Iran
[4] Shiraz Univ Med Sci, Sch Paramed Sci, Dept Radiol, Shiraz, Iran
来源
JOURNAL OF MEDICAL SIGNALS & SENSORS | 2022年 / 12卷 / 01期
关键词
Chest X-ray; computed tomography scan; COVID-19; Middle East Respiratory Syndrome-CoV; SARS-coronavirus-2; RESPIRATORY SYNDROME CORONAVIRUS; DISEASE; 2019; COVID-19; IMAGING FEATURES; CT; PNEUMONIA; WUHAN;
D O I
10.4103/jmss.JMSS_84_20
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
Background: COVID-19 is a respiratory infection brought about by SARS-COV-2. Most of the patients contaminated by this pathogen are afflicted by respiratory syndrome with multiple stages ranging from mild upper respiratory involvement to severe dyspnea and acute respiratory distress syndrome cases. Keeping in mind the high sensitivity of computed tomography (CT) scan in detecting abnormalities, it became the number one modality in COVID-19 diagnosis. A wide diversity of CT features can be found in COVID-19 cases, which can be observed before the onset of clinical signs. The review article is aimed to highlight recent discrepancies in CT-scan and chest X-ray (CXR) characteristics between COVID-19 and Middle East Respiratory Syndrome (MERS). Method: This review study was performed in the literature from the beginning of COVID-19 until the middle of April 2021. For this reason, all relevant works through scientific citation websites such as Google Scholar, PubMed, and Web of Science have been investigated in the mentioned period. Results: COVID-19 was more reproductive than MERS, while MERS was significantly higher in terms of mortality rate (COVID-19: 2.3% and MERS: 34.4%). Signs of ground-glass opacity (GGO), peripheral consolidation, and GGO accompanying with consolidation are the same signs CXR in both MERS and COVID-19. Indeed, fever, cough, headache, and sore throat are the most symptoms in all studied patients. Conclusion: Both COVID-19 and MERS have the same imaging signs. The most similar chest CT findings are GGO, peripheral consolidation, and GGO superimposed by consolidation in both studied diseases, and no statistical differences were seen among the mean number of chest CT-scans in MERS and COVID-19 cases.
引用
收藏
页码:1 / 7
页数:7
相关论文
共 50 条
  • [1] Chest X-ray versus chest computed tomography for outcome prediction in hospitalized patients with COVID-19
    Borghesi, Andrea
    Golemi, Salvatore
    Scrimieri, Alessandra
    Nicosia, Costanza Maria Carlotta
    Zigliani, Angelo
    Farina, Davide
    Maroldi, Roberto
    [J]. RADIOLOGIA MEDICA, 2022, 127 (03): : 305 - 308
  • [2] Chest X-ray versus chest computed tomography for outcome prediction in hospitalized patients with COVID-19
    Andrea Borghesi
    Salvatore Golemi
    Alessandra Scrimieri
    Costanza Maria Carlotta Nicosia
    Angelo Zigliani
    Davide Farina
    Roberto Maroldi
    [J]. La radiologia medica, 2022, 127 : 305 - 308
  • [3] Novel coronavirus (COVID-19) pneumonia: Portable chest X-ray or computed tomography? An Italian perspective
    Mazzei, Maria Antonietta
    Guerrini, Susanna
    Zanoni, Matteo
    Franchi, Federico
    Valente, Serafina
    Cusi, Maria Grazia
    Frediani, Bruno
    Volterrani, Luca
    [J]. LUNG INDIA, 2021, 38 (07) : S72 - S73
  • [4] Radiological profile of patients undergoing Chest X-ray and computed tomography scans during COVID-19 outbreak
    Khan, Sohail Ahmed
    Manohar, Murli
    Khan, Maria
    Asad, Samita
    Adil, Syed Omair
    [J]. PAKISTAN JOURNAL OF MEDICAL SCIENCES, 2021, 37 (05) : 1288 - 1294
  • [5] Chest computed tomography signs associated with pejorative evolution in COVID-19 patients
    Auger, Romain
    Dujardin, Paul-Armand
    Bleuzen, Aurore
    Buraschi, Juliette
    Mandine, Natacha
    Marchand-Adam, Sylvain
    Pearson, Arthur
    Derot, Gaelle
    [J]. POLISH JOURNAL OF RADIOLOGY, 2021, 86 : e115 - e121
  • [6] Deep Learning for Reliable Classification of COVID-19, MERS, and SARS from Chest X-ray Images
    Tahir, Anas M.
    Qiblawey, Yazan
    Khandakar, Amith
    Rahman, Tawsifur
    Khurshid, Uzair
    Musharavati, Farayi
    Islam, M. T.
    Kiranyaz, Serkan
    Al-Maadeed, Somaya
    Chowdhury, Muhammad E. H.
    [J]. COGNITIVE COMPUTATION, 2022, 14 (05) : 1752 - 1772
  • [7] Deep Learning for Reliable Classification of COVID-19, MERS, and SARS from Chest X-ray Images
    Anas M. Tahir
    Yazan Qiblawey
    Amith Khandakar
    Tawsifur Rahman
    Uzair Khurshid
    Farayi Musharavati
    M. T. Islam
    Serkan Kiranyaz
    Somaya Al-Maadeed
    Muhammad E. H. Chowdhury
    [J]. Cognitive Computation, 2022, 14 : 1752 - 1772
  • [8] Pediatric chest x-ray in covid-19 infection
    Serrano, C. Oterino
    Alonso, E.
    Andres, M.
    Buitrago, N. M.
    Perez Vigara, A.
    Parron Pajares, M.
    Cuesta Lopez, E.
    Garzon Moll, G.
    Martin Espin, I
    Bueno Barriocanal, M.
    De Ceano-Vivas la Calle, M.
    Calvo Rey, C.
    Bret-Zurita, M.
    [J]. EUROPEAN JOURNAL OF RADIOLOGY, 2020, 131
  • [9] A dataset of COVID-19 x-ray chest images
    Fraiwan, Mohammad
    Khasawneh, Natheer
    Khassawneh, Basheer
    Ibnian, Ali
    [J]. DATA IN BRIEF, 2023, 47
  • [10] Chest X-Ray for Follow-Up of Hospitalized COVID-19 Patients in Settings with Limited Access to Computed Tomography
    Velasquez-Rimachi, Victor
    Chavez-Malpartida, Sandra S.
    Velasquez-Fernandez, Randy
    Campos-Ramirez, Luis
    [J]. KOREAN JOURNAL OF RADIOLOGY, 2021, 22 (05) : 864 - 866