COVID-19

=== Imaging ===
<noinclude>[[File:COVID19CTPneumonia.jpg|thumb|A [[Computed tomography|CT]] scan of a person with COVID-19 shows lesions (bright regions) in the lungs]]</noinclude>
[[File:COVID19CT1.webp|thumb|CT scan of rapid progression stage of COVID-19]]
[[File:COVID-19 Pneumonie - 82m Roe Thorax ap - 001.jpg|thumb|Chest X-ray showing COVID‑19 pneumonia]]

Chest CT scans may be helpful to diagnose COVID‑19 in individuals with a high clinical suspicion of infection but are not recommended for routine screening.<ref name="Salehi-2020" /><ref name="acr.org">{{#invoke:Cite web||date=22 March 2020|title=ACR Recommendations for the use of Chest Radiography and Computed Tomography (CT) for Suspected COVID-19 Infection|url=https://www.acr.org/Advocacy-and-Economics/ACR-Position-Statements/Recommendations-for-Chest-Radiography-and-CT-for-Suspected-COVID19-Infection|url-status=live|archive-url=https://web.archive.org/web/20200328055813/https://www.acr.org/Advocacy-and-Economics/ACR-Position-Statements/Recommendations-for-Chest-Radiography-and-CT-for-Suspected-COVID19-Infection|archive-date=28 March 2020|website=American College of Radiology}}</ref> Bilateral multilobar [[Ground-glass opacity|ground-glass opacities]] with a peripheral, asymmetric, and posterior distribution are common in early infection.<ref name="Salehi-2020" /><ref>{{#invoke:cite journal || vauthors = Pormohammad A, Ghorbani S, Khatami A, Razizadeh MH, Alborzi E, Zarei M, Idrovo JP, Turner RJ  | title = Comparison of influenza type A and B with COVID-19: A global systematic review and meta-analysis on clinical, laboratory and radiographic findings | journal = Reviews in Medical Virology | pages = e2179 | date = October 2020 | pmid = 33035373 | pmc = 7646051 | doi = 10.1002/rmv.2179 | s2cid = 222255245 | title-link = doi | volume = 31 | issue = 3 | doi-access = free }}</ref> Subpleural dominance, [[Crazy paving (medicine)|crazy paving]] (lobular septal thickening with variable alveolar filling), and [[Pulmonary consolidation|consolidation]] may appear as the disease progresses.<ref name="Salehi-2020" /><ref>{{#invoke:cite journal || vauthors = Lee EY, Ng MY, Khong PL | title = COVID-19 pneumonia: what has CT taught us? | journal = The Lancet. Infectious Diseases | volume = 20 | issue = 4 | pages = 384–385 | date = April 2020 | pmid = 32105641 | pmc = 7128449 | doi = 10.1016/S1473-3099(20)30134-1 | title-link = doi | doi-access = free }}</ref> Characteristic imaging features on chest [[radiographs]] and [[computed tomography]] (CT) of people who are symptomatic include asymmetric peripheral ground-glass opacities without [[pleural effusion]]s.<ref name="AJR">{{#invoke:cite journal || vauthors = Li Y, Xia L | title = Coronavirus Disease 2019 (COVID-19): Role of Chest CT in Diagnosis and Management | journal = AJR. American Journal of Roentgenology | volume = 214 | issue = 6 | pages = 1280–1286 | date = June 2020 | pmid = 32130038 | doi = 10.2214/AJR.20.22954 | s2cid = 212416282 }}</ref>

Many groups have created [[COVID‑19 datasets]] that include imagery such as the [[Italian Society of Medical and Interventional Radiology|Italian Radiological Society]] which has compiled an international online database of imaging findings for confirmed cases.<ref name="Cx70C">{{#invoke:Cite web||title=COVID-19 Database |url=https://www.sirm.org/category/senza-categoria/covid-19/ |website=Società Italiana di Radiologia Medica e Interventistica |access-date=11 March 2020 |language=it}}</ref> Due to overlap with other infections such as [[adenovirus]], imaging without confirmation by rRT-PCR is of limited [[Specificity (statistics)|specificity]] in identifying COVID‑19.<ref name="AJR" /> A large study in China compared chest CT results to PCR and demonstrated that though imaging is less specific for the infection, it is faster and more [[Sensitivity (statistics)|sensitive]].<ref name="jTxKm" />