Metrika

  • citati u SCIndeksu: 0
  • citati u CrossRef-u:0
  • citati u Google Scholaru:[]
  • posete u poslednjih 30 dana:29
  • preuzimanja u poslednjih 30 dana:18

Sadržaj

članak: 1 od 1  
2021, vol. 2, br. 3, str. 266-277
Radiološka slika KOVID-19 pneumonije
Klinički centar Srbije, Centar za radiologiju i magnetnu rezonancu, Beograd, Srbija + Univerzitet u Beogradu, Medicinski fakultet, Srbija

e-adresaaleksandra.djuricstefanovic@gmail.com
Ključne reči: KOVID-19 pneumonija; kompjuterizovana tomografija; radiografija pluća
Sažetak
Intrersticijumska pneumonija je dominantna manifestacija oboljenja KOVID-19. Cilj rada je da se prikažu: spektar tipičnih radioloških nalaza (CT - kompjuterizovana tomografija i radiografija) KOVID-19 pneumonije, različite tehnike CT pregleda, tipovi i evolucija inflamatornih promena u plućima, kriterijumi za procenu verovatnoće KOVID-19 pneumonije u odnosu na druge intersticijumske pneumonije, i principi bodovanja (scoring) za definiciju obima KOVID-19 pneumonije, na osnovu CT nalaza i radiografije. Standardni protokol CT pregleda je nativni CT pregled grudnog koša, a zbog visoke senzitivnosti niskodoznih CT protokola za detekciju promena u plućima, ova tehnika snimanja je postala široko zastupljena u radiološkoj praksi tokom pandemije KOVID-19. Obostrane, multiple, kružne ili slivene zone denziteta "mlečnog stakla", dominantno lokalizovane subpleuralno, periferno i posteriorno, obično najobimnije u donjim režnjevima, predstavljaju tipičnu CT prezentaciju KOVID-19 pneumonije. U kasnijem stadijumu se mogu razviti i konsolidacije. Na rendgenskom snimku pluća mogu da se vide: homogeno smanjena transparencija u lateralnim plućnim poljima, kružna i nepravilna oblačasta zasenčenja i slivena mrljasta zasenčenja, obično najobimnija bazalno i lateralno. Za procenu verovatnoće KOVID-19 pneumonije, na osnovu kriterijuma tipičnog/atipičnog CT nalaza, koriste se RSNA i CO-RADS kriterijumi. Prema CT karakteristikama promena u plućima i vremenskoj dinamici njihove prezentacije, definisana su četiri stadijuma KOVID-19 pneumonije: rani, progresivni, stadijum konsolidacije i stadijum organizacije. Za procenu obima i težine pneumonije pomoću CT-a, predloženi su različiti sistemi bodovanja, od kojih je najšire prihvaćen CT severity scoring system, koji se zasniva na vizuelnoj semikvantitativnoj proceni procentualne zahvaćenosti parenhima svakog od pet lobusa pluća zapaljenskim promenama, na skali od 1 (<5%) do 5 (>75%), tako da maksimalni skor može da iznosi 25.
Reference
Abdel-Tawab, M., Basha, M.A.A., Mohamed, I.A.I., Ibrahim, H.M., Zaitoun, M.M.A., Elsayed, S.B., et al. (2021) Comparison of the CO-RADS and the RSNA chest CT classification system concerning sensitivity and reliability for the diagnosis of COVID-19 pneumonia. Insights into Imaging, 12(1): 55
Ai, T., Yang, Z., Hou, H., Zhan, C., Chen, C., Lv, W., et al. (2020) Correlation of chest CT and RT-PCR testing for coronavirus disease 2019 (COVID-19) in China: A report of 1014 cases. Radiology, 296(2): E32-E40
Borghesi, A., Maroldi, R. (2020) COVID-19 outbreak in Italy: experimental chest X-ray scoring system for quantifying and monitoring disease progression. La Radiologia Medica, 125(5): 509-513
Chan, J.F., Yuan, S., Kok, K., To, K.K., Chu, H., Yang, J., et al. (2020) A familial cluster of pneumonia associated with the 2019 novel coronavirus indicating person-to-person transmission: A study of a family cluster. Lancet, 395(10223): 514-523
Chung, M., Bernheim, A., Mei, X., Zhang, N., Huang, M., Zeng, X., et al. (2020) CT imaging features of 2019 novel coronavirus (2019-ncCoV). Radiology, 295(1): 202-207
Colombi, D., Bodini, F.C., Petrini, M., Maffi, G., Morelli, N., Milanese, G., et al. (2020) Well-aerated lung on admitting chest CT to predict adverse outcome in COVID-19 pneumonia. Radiology, 296(2): E86-E96
Guarnera, A., Podda, P., Santini, E., Paolantonio, P., Laghi, A. (2021) Differential diagnoses of COVID-19 pneumonia: The current challenge for the radiologist: A pictorial essay. Insights into Imaging, 12(1): 34
Han, X., Fan, Y., Alwalid, O., Li, N., Jia, X., Yuan, M., et al. (2021) Six-month follow-up chest CT findings after severe COVID-19 pneumonia. Radiology, 299(1): E177-E186
Hani, C., Trieu, N.H., Saab, I., Dangeard, S., Bennani, S., Chassagnon, G., Revel, M.-P. (2020) COVID-19 pneumonia: A review of typical CT findings and differential diagnosis. Diagnostic and Interventional Imaging, 101(5): 263-268
Huang, C., Wang, Y., Li, X., Ren, L., Zhao, J., Hu, Y., et al. (2020) Clinical features of patients infected with 2019 novel coronavirus in Wuhan, China. Lancet, 395(10223): 497-506
Inui, S., Fujikawa, A., Jitsu, M., Kunishima, N., Watanabe, S., Suzuki, Y., et al. (2020) Chest CT findings in cases from the cruise ship diamond princess with coronavirus disease (COVID-19). Radiology: Cardiothoracic Imaging, 2(2): e200110
Kang, Z., Li, X., Zhou, S. (2020) Recommendation of low-dose CT in the detection and management of COVID-2019. European Radiology, 30(8): 4356-4357
Lanza, E., Muglia, R., Bolengo, I., Santonocito, O.G., Lisi, C., Angelotti, G., et al. (2020) Quantitative chest CT analysis in COVID-19 to predict the need for oxygenation support and intubation. European Radiology, 30(12): 6770-6778
Léonard-Lorant, I., Delabranche, X., Séverac, F., Helms, J., Pauzet, C., Collange, O., et al. (2020) Acute pulmonary embolism in patients with COVID-19 at CT angiography and relationship to D-dimer levels. Radiology, 296(3): E189-E191
Li, Y., Yang, Z., Ai, T., Wu, S.T., Xia, L. (2020) Association of 'initial CT' findings with mortality in older patients with coronavirus disease 2019 (COVID-19). European Radiology, 30(11): 6186-6193
Näppi, J., Uemura, T., Watari, C., Hironaka, T., Kamiya, T., Yoshida, H. (2021) U-survival for prognostic prediction of disease progression and mortality of patients with COVID-19. Scientific Reports, 11(1): 9263
Pan, F., Zheng, C., Ye, T., Li, L., Liu, D., Li, L., et al. (2020) Different computed tomography patterns of coronavirus disease 2019 (COVID-19) between survivors and non-survivors. Scientific Reports, 10(1): 11336
Pan, F., Ye, T., Sun, P., Gui, S., Liang, B., Li, L., et al. (2020) Time course of lung changes at chest CT during recovery from coronavirus disease 2019 (COVID-19). Radiology, 295(3): 715-721
Prokop, M., van Everdingen, W., van Rees, V.T., van Ufford, Q.H., Stöger, L., Beenen, L., et al. (2020) COVID-19 standardized reporting working group of the Dutch Radiological Society: CO-RADS: A categorical CT assessment scheme for patients suspected of having COVID-19-Definition and evaluation. Radiology, 296(2):E97-104
Rubin, G.D., Ryerson, C.J., Haramati, L.B., Sverzellati, N., Kanne, J.P., Raoof, S., et al. (2020) The role of chest imaging in patient management during the COVID-19 pandemic: A multinational consensus statement from the fleischner society. Radiology, 296(1): 172-180
Salehi, S., Abedi, A., Balakrishnan, S., Gholamrezanezhad, A. (2020) Coronavirus disease 2019 (COVID-19): A systematic review of imaging findings in 919 patients. American Journal of Roentgenology, 215(1): 87-93
Salehi, S., Abedi, A., Balakrishnan, S., Gholamrezanezhad, A. (2020) Coronavirus disease 2019 (COVID-19) imaging reporting and data system (COVID-RADS) and common lexicon: A proposal based on the imaging data of 37 studies. European Radiology, 30(9): 4930-4942
Simpson, S., Kay, F.U., Abbara, S., Bhalla, S., Chung, J.H., Chung, M., et al. (2020) Radiological Society of North America expert consensus statement on reporting chest CT findings related to COVID-19: Endorsed by the Society of Thoracic Radiology, the American College of Radiology, and RSNA: Secondary publication. Journal of Thoracic Imaging, 35(4): 219-227
Toussie, D., Voutsinas, N., Finkelstein, M., Cedillo, M.A., Manna, S., Maron, S.Z., et al. (2020) Clinical and chest radiography features determine patient outcomes in young and middle-aged adults with COVID-19. Radiology, 297(1): E197-E206
Vespro, V., Andrisani, M.C., Fusco, S., di Meglio, L., Plensich, G., Scarabelli, A., et al. (2021) Chest X-ray findings in a large cohort of 1117 patients with SARS-CoV-2 infection: A multicenter study during COVID-19 outbreak in Italy. Internal and Emergency Medicine, 16(5): 1173-1181
Wang, Y., Luo, H., Liu, S., Huang, S., Zhou, Z., Yu, Q., et al. (2020) Dynamic evolution of COVID-19 on chest computed tomography: experience from Jiangsu province of China. European Radiology, 30(11): 6194-6203
Wasilewski, P.G., Mruk, B., Mazur, S., Półtorak-Szymczak, G., Sklinda, K., Walecki, J. (2020) COVID-19 severity scoring systems in radiological imaging: A review. Polish Journal of Radiology, 85(1): 361-368
Wong, H.Y.F., Lam, H.Y.S., Fong, A.H., Leung, S.T., Chin, T.W., Lo, C.S.Y., et al. (2020) Frequency and distribution of chest radiographic findings in patients positive for COVID-19. Radiology, 296(2): E72-E78
Wu, J., Pan, J., Teng, D., Xu, X., Feng, J., Chen, Y. (2020) Interpretation of CT signs of 2019 novel coronavirus (COVID-19) pneumonia. European Radiology, 30(10): 5455-5462
Xie, X., Zhong, Z., Zhao, W., Zheng, C., Wang, F., Liu, J. (2020) Chest CT for typical coronavirus disease 2019 (COVID-19) pneumonia: Relationship to negative RT-PCR testing. Radiology, 296(2): E41-E45
Yang, R., Li, X., Liu, H., Zhen, Y., Zhang, X., Xiong, Q., et al. (2020) Chest CT severity score: An imaging tool for assessing severe COVID-19. Radiology: Cardiothoracic Imaging, 2(2): e200047
Zhu, N., Zhang, D., Wang, W., Li, X., Yang, B., Song, J., et al., China Novel Coronavirus Investigating and Research Team (2020) A novel coronavirus from patients with pneumonia in China, 2019. N Engl J Med, 382(8): 727-33
 

O članku

jezik rada: srpski, engleski
vrsta rada: pregledni članak
DOI: 10.5937/smclk2-32749
primljen: 14.07.2021.
revidiran: 14.08.2021.
prihvaćen: 23.08.2021.
objavljen onlajn: 30.09.2021.
objavljen u SCIndeksu: 15.10.2021.

Povezani članci

Nema povezanih članaka