Literature DB >> 29757717

Radiographic and CT Features of Viral Pneumonia.

Hyun Jung Koo1, Soyeoun Lim1, Jooae Choe1, Sang-Ho Choi1, Heungsup Sung1, Kyung-Hyun Do1.   

Abstract

Viruses are the most common causes of respiratory infection. The imaging findings of viral pneumonia are diverse and overlap with those of other nonviral infectious and inflammatory conditions. However, identification of the underlying viral pathogens may not always be easy. There are a number of indicators for identifying viral pathogens on the basis of imaging patterns, which are associated with the pathogenesis of viral infections. Viruses in the same viral family share a similar pathogenesis of pneumonia, and the imaging patterns have distinguishable characteristics. Although not all cases manifest with typical patterns, most typical imaging patterns of viral pneumonia can be classified according to viral families. Although a definite diagnosis cannot be achieved on the basis of imaging features alone, recognition of viral pneumonia patterns may aid in differentiating viral pathogens, thus reducing the use of antibiotics. Recently, new viruses associated with recent outbreaks including human metapneumovirus, severe acute respiratory syndrome coronavirus, and Middle East respiratory syndrome coronavirus have been discovered. The imaging findings of these emerging pathogens have been described in a few recent studies. This review focuses on the radiographic and computed tomographic patterns of viral pneumonia caused by different pathogens, including new pathogens. Clinical characteristics that could affect imaging, such as patient age and immune status, seasonal variation and community outbreaks, and pathogenesis, are also discussed. The first goal of this review is to indicate that there are imaging features that should raise the possibility of viral infections. Second, to help radiologists differentiate viral infections, viruses in the same viridae that have similar pathogenesis and can have similar imaging characteristics are shown. By considering both the clinical and radiologic characteristics, radiologists can suggest the diagnosis of viral pneumonia. ©RSNA, 2018.

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Year:  2018        PMID: 29757717     DOI: 10.1148/rg.2018170048

Source DB:  PubMed          Journal:  Radiographics        ISSN: 0271-5333            Impact factor:   5.333


  238 in total

1.  Utility of chest CT in diagnosis of COVID-19 pneumonia.

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2.  Low-Dose Chest CT for the Diagnosis of COVID-19—A Systematic, Prospective Comparison With PCR

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Journal:  Dtsch Arztebl Int       Date:  2020-06-01       Impact factor: 5.594

3.  Variable computed tomography appearances of COVID-19.

Authors:  Zhan Ye Lim; Hau Wei Khoo; Terrence Chi Hong Hui; Shawn Shi Xian Kok; Kenneth Eng Ling Kwan; Barnaby Edward Young; Cher Heng Tan; Gregory Jon Leng Kaw
Journal:  Singapore Med J       Date:  2020-04-21       Impact factor: 1.858

4.  Automated Diagnosis of COVID-19 Using Deep Features and Parameter Free BAT Optimization.

Authors:  Taranjit Kaur; Tapan K Gandhi; Bijaya K Panigrahi
Journal:  IEEE J Transl Eng Health Med       Date:  2021-05-03       Impact factor: 3.316

5.  Ultra-low-dose chest CT performance for the detection of viral pneumonia patterns during the COVID-19 outbreak period: a monocentric experience.

Authors:  Joël Greffier; Adel Hoballah; Alexandre Sadate; Fabien de Oliveira; Pierre-Geraud Claret; Hélène de Forges; Paul Loubet; Jean-Marc Mauboussin; Aymeric Hamard; Jean-Paul Beregi; Julien Frandon
Journal:  Quant Imaging Med Surg       Date:  2021-07

6.  Association between clinical, laboratory findings and chest CT in COVID-19 in a secondary hospital in Jakarta, Indonesia.

Authors:  Muhammad Hafiz; Aziza Ghanie Icksan; Annisa Dian Harlivasari; Sita Andarini; Febrina Susanti; Merryl Esther Yuliana
Journal:  Germs       Date:  2021-03-15

7.  COVID-19 mimics on chest CT: a pictorial review and radiologic guide.

Authors:  Bruno Hochhegger; Matheus Zanon; Stephan Altmayer; Nicole S Mandelli; Guilherme Stüker; Tan-Lucien Mohammed; Nupur Verma; Gustavo Souza Portes Meirelles; Edson Marchiori
Journal:  Br J Radiol       Date:  2020-12-09       Impact factor: 3.039

8.  Learning from pathophysiological aspects of COVID-19 clinical, laboratory, and high-resolution CT features: a retrospective analysis of 128 cases by disease severity.

Authors:  Sameh Mostafa Azab; Ashraf Anas Zytoon; Zeinab Abdel Aziz Kasemy; Suzan Fouad Omar; Suzy Fayez Ewida; Karim Ayman Sakr; Tarek Fawzy Abd Ella
Journal:  Emerg Radiol       Date:  2021-01-08

9.  Characteristics of chest high resolution computed tomography images of COVID-19: A retrospective study of 46 patients.

Authors:  Yibo Lu; Jingru Zhou; Yimei Mo; Shulin Song; Xue Wei; Ke Ding
Journal:  Pak J Med Sci       Date:  2021 May-Jun       Impact factor: 1.088

Review 10.  Recent advances in detection technologies for COVID-19.

Authors:  Tingting Han; Hailin Cong; Youqing Shen; Bing Yu
Journal:  Talanta       Date:  2021-06-12       Impact factor: 6.057

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