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Analysis of 4 imaging features in patients with COVID-19.
Jin, Jun; Gao, De-Hong; Mo, Xin; Tan, Si-Ping; Kou, Zhen-Xia; Chen, Yi-Bo; Cao, Jin-Bo; Chen, Wen-Jing; Zhang, Ya-Ming; Li, Bing-Qing; Huang, Kuan-Long; Xu, Bing-Ren; Tang, Xiao-Li; Wang, Yu-Li.
Afiliación
  • Jin J; Department of Radiology, Shenzhen Nanshan District Shekou People's Hospital, Shenzhen, 518067, Guangdong Province, China.
  • Gao DH; Concorde Shenzhen Hospital, Huazhong University of Science and Technology, Shenzhen, 518052, Guangdong Province, China.
  • Mo X; Department of Radiology, Shenzhen Nanshan District Shekou People's Hospital, Shenzhen, 518067, Guangdong Province, China.
  • Tan SP; Concorde Shenzhen Hospital, Huazhong University of Science and Technology, Shenzhen, 518052, Guangdong Province, China.
  • Kou ZX; Gansu Province Center for Disease Control and Prevention, LanZhou, 73000, Gansu Province, China.
  • Chen YB; Department of Radiology, Shenzhen Nanshan District Shekou People's Hospital, Shenzhen, 518067, Guangdong Province, China.
  • Cao JB; Department of Radiology, Shenzhen Nanshan District Shekou People's Hospital, Shenzhen, 518067, Guangdong Province, China.
  • Chen WJ; Department of Radiology, Shenzhen Nanshan District Shekou People's Hospital, Shenzhen, 518067, Guangdong Province, China.
  • Zhang YM; Department of Radiology, Shenzhen Nanshan District Shekou People's Hospital, Shenzhen, 518067, Guangdong Province, China.
  • Li BQ; Department of Radiology, Shenzhen Nanshan District Shekou People's Hospital, Shenzhen, 518067, Guangdong Province, China.
  • Huang KL; Department of Radiology, Shenzhen Nanshan District Shekou People's Hospital, Shenzhen, 518067, Guangdong Province, China.
  • Xu BR; Department of Radiology, Shenzhen Nanshan District Shekou People's Hospital, Shenzhen, 518067, Guangdong Province, China.
  • Tang XL; Department of Radiology, Shenzhen Nanshan District Shekou People's Hospital, Shenzhen, 518067, Guangdong Province, China. 303175614@qq.com.
  • Wang YL; Department of Imaging, Shenzhen Second People's Hospital / the First Affiliated Hospital of Shenzhen University, Shenzhen, 518035, Guangdong Province, China. wangyuli777@163.com.
BMC Med Imaging ; 20(1): 84, 2020 07 23.
Article en En | MEDLINE | ID: mdl-32703209
BACKGROUND: The aim of this was to analyze 4 chest CT imaging features of patients with coronavirus disease 2019 (COVID-19) in Shenzhen, China so as to improve the diagnosis of COVID-19. METHODS: Chest CT of 34 patients with COVID-19 confirmed by the nucleic acid test (NAT) were retrospectively analyzed. Analyses were performed to investigate the pathological basis of four imaging features("feather sign","dandelion sign","pomegranate sign", and "rime sign") and to summarize the follow-up results. RESULTS: There were 22 patients (65.2%) with typical "feather sign"and 18 (52.9%) with "dandelion sign", while few patients had "pomegranate sign" and "rime sign". The "feather sign" and "dandelion sign" were composed of stripe or round ground-glass opacity (GGO), thickened blood vessels, and small-thickened interlobular septa. The "pomegranate sign" was characterized as follows: the increased range of GGO, the significant thickening of the interlobular septum, complicated with a small amount of punctate alveolar hemorrhage. The "rime sign" was characterized by numerous alveolar edemas. Microscopically, the wall thickening, small vascular proliferation, luminal stenosis, and occlusion, accompanied by interstitial infiltration of inflammatory cells, as well as numerous pulmonary interstitial fibrosis and partial hyaline degeneration were observed. Repeated chest CT revealed the mediastinal lymphadenectasis in one patient. Re-examination of the NAT showed another positive anal swab in two patients. CONCLUSION: "Feather sign" and "dandelion sign" were typical chest CT features in patients withCOVID-19; "pomegranate sign" was an atypical feature, and "rime sign" was a severe feature. In clinical work, accurate identification of various chest CT signs can help to improve the diagnostic accuracy of COVID-19 and reduce the misdiagnosis or missed diagnosis rate.
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neumonía Viral / Interpretación de Imagen Radiográfica Asistida por Computador / Infecciones por Coronavirus / Betacoronavirus / Pulmón Límite: Adult / Aged / Female / Humans / Male / Middle aged País/Región como asunto: Asia Idioma: En Revista: BMC Med Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2020 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Neumonía Viral / Interpretación de Imagen Radiográfica Asistida por Computador / Infecciones por Coronavirus / Betacoronavirus / Pulmón Límite: Adult / Aged / Female / Humans / Male / Middle aged País/Región como asunto: Asia Idioma: En Revista: BMC Med Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2020 Tipo del documento: Article País de afiliación: China