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A Comparison of CT Manifestations Between Coronavirus Disease 2019 (COVID-19) and Other Types of Viral Pneumonia.
Mao, Haixia; Li, Xiaoshan; Lin, Xiaoming; Zhou, Lijuan; Zhang, Xiuping; Cao, Yang; Jiang, Yilun; Chen, Hongwei; Fang, Xiangming; Gu, Lan.
  • Mao H; Department of Radiology, Wuxi People's Hospital, Nanjing Medical University, Wuxi, China.
  • Li X; Department of Lung Transplantation Center, Wuxi People's Hospital, Nanjing Medical University, Wuxi, China.
  • Lin X; Department of Radiology, Wuxi Fifth People's Hospital, Wuxi, China.
  • Zhou L; Department of Radiology, Wuxi People's Hospital, Nanjing Medical University, Wuxi, China.
  • Zhang X; Department of Radiology, Wuxi People's Hospital, Nanjing Medical University, Wuxi, China.
  • Cao Y; Department of Radiology, Wuxi Huishan District People' s Hospital, Wuxi, China.
  • Jiang Y; Department of Radiology, Wuxi Xishan District People' s Hospital, Wuxi, China.
  • Chen H; Department of Radiology, Wuxi People's Hospital, Nanjing Medical University, Wuxi, China.
  • Fang X; Department of Radiology, Wuxi People's Hospital, Nanjing Medical University, Wuxi, China.
  • Gu L; Department of Radiology, Wuxi Fifth People's Hospital, Wuxi, China.
Curr Med Imaging ; 17(11): 1316-1323, 2021.
Article in English | MEDLINE | ID: covidwho-1574962
ABSTRACT

BACKGROUND:

Though imaging manifestations of COVID-19 and other types of viral pneumonia are similar, their clinical treatment methods differ. Accurate, non-invasive diagnostic methods using CT imaging can help develop an optimal therapeutic regimen for both conditions.

OBJECTIVE:

To compare the initial CT imaging features in COVID-19 with those in other types of viral pneumonia.

METHODS:

Clinical and imaging data of 51 patients with COVID-19 and 69 with other types of viral pneumonia were retrospectively studied. All significant imaging features (Youden index >0.3) were included for constituting the combined criteria for COVID-19 diagnosis, composed of two or more imaging features with a parallel model. McNemar's chi-square test or Fisher's exact test was used to compare the validity indices (sensitivity and specificity) among various criteria.

RESULTS:

Ground glass opacities (GGO) dominated density, peripheral distribution, unilateral lung, clear margin of lesion, rounded morphology, long axis parallel to the pleura, vascular thickening, and crazy-paving pattern were more common in COVID-19 (p <0.05). Consolidation-dominated density, both central and peripheral distributions, bilateral lung, indistinct margin of lesion, tree-inbud pattern, mediastinal or hilar lymphadenectasis, pleural effusion, and pleural thickening were more common in other types of viral pneumonia (p < 0.05). GGO-dominated density or long axis parallel to the pleura (with the highest sensitivity), and GGO-dominated density or long axis parallel to the pleura or vascular thickening (with the highest specificity) are well combined criteria of COVID-19.

CONCLUSION:

The initial CT imaging features are helpful for the differential diagnosis of COVID-19 and other types of viral pneumonia.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study Limits: Humans Language: English Journal: Curr Med Imaging Year: 2021 Document Type: Article Affiliation country: 1573405617666210218092751

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Full text: Available Collection: International databases Database: MEDLINE Main subject: COVID-19 Type of study: Diagnostic study / Observational study / Prognostic study Limits: Humans Language: English Journal: Curr Med Imaging Year: 2021 Document Type: Article Affiliation country: 1573405617666210218092751