Fariba Zarei1, Reza Jalli1, Pooya Iranpour1, Sepideh Sefidbakht1, Sahar Soltanabadi2, Maryam Rezaee3, Reza Jahankhah4, Alireza Manafi2. 1. Department of Radiology, Medical Imaging Research Center, Shiraz University of Medical Sciences, Shiraz, Iran. 2. Student Research Committee, Shiraz University of Medical Sciences, Shiraz, Iran. 3. Dermatology Department, Molecular Dermatology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran. 4. Department of Radiology, Medical Imaging Research Center, Shiraz University of Medical Sciences, Shiraz, Iran. Electronic address: jahankhah@sums.ac.ir.
Abstract
OBJECTIVES: To investigate the chest CT and clinical characteristics of COVID-19 pneumonia and H1N1 influenza, and explore the radiologist diagnosis differences between COVID-19 and influenza. MATERIALS AND METHODS: This cross-sectional study included a total of 43 COVID-19-confirmed patients (24 men and 19 women, 49.90 ± 18.70 years) and 41 influenza-confirmed patients (17 men and 24 women, 61.53 ± 19.50 years). Afterwards, the chest CT findings were recorded and 3 radiologists recorded their diagnoses of COVID-19 or of H1N1 influenza based on the CT findings. RESULTS: The most frequent clinical symptom in patients with COVID-19 and H1N1 pneumonia were dyspnea (96.6%) and cough (62.5%), respectively. The CT findings showed that the COVID-19 group was characterized by GGO (88.1%), while the influenza group had features such as GGO (68.4%) and consolidation (66.7%). Compared to the influenza group, the COVID-19 group was more likely to have GGO (88.1% vs. 68.4%, p = 0.032), subpleural sparing (69.0% vs. 7.7%, p <0.001) and subpleural band (50.0% vs. 20.5%, p = 0.006), but less likely to have pleural effusion (4.8% vs. 33.3%, p = 0.001). The agreement rate between the 3 radiologists was 65.8%. CONCLUSION: Considering similarities of respiratory infections especially H1N1 and COVID-19, it is essential to introduce some clinical and para clinical modalities to help differentiating them. In our study we extracted some lung CT scan findings from patients suspected to COVID-19 as a newly diagnosed infection comparing with influenza pneumonia patients.
OBJECTIVES: To investigate the chest CT and clinical characteristics of COVID-19 pneumonia and H1N1influenza, and explore the radiologist diagnosis differences between COVID-19 and influenza. MATERIALS AND METHODS: This cross-sectional study included a total of 43 COVID-19-confirmed patients (24 men and 19 women, 49.90 ± 18.70 years) and 41 influenza-confirmed patients (17 men and 24 women, 61.53 ± 19.50 years). Afterwards, the chest CT findings were recorded and 3 radiologists recorded their diagnoses of COVID-19 or of H1N1influenza based on the CT findings. RESULTS: The most frequent clinical symptom in patients with COVID-19 and H1N1pneumonia were dyspnea (96.6%) and cough (62.5%), respectively. The CT findings showed that the COVID-19 group was characterized by GGO (88.1%), while the influenza group had features such as GGO (68.4%) and consolidation (66.7%). Compared to the influenza group, the COVID-19 group was more likely to have GGO (88.1% vs. 68.4%, p = 0.032), subpleural sparing (69.0% vs. 7.7%, p <0.001) and subpleural band (50.0% vs. 20.5%, p = 0.006), but less likely to have pleural effusion (4.8% vs. 33.3%, p = 0.001). The agreement rate between the 3 radiologists was 65.8%. CONCLUSION: Considering similarities of respiratory infections especially H1N1 and COVID-19, it is essential to introduce some clinical and para clinical modalities to help differentiating them. In our study we extracted some lung CT scan findings from patients suspected to COVID-19 as a newly diagnosed infection comparing with influenzapneumoniapatients.
Authors: Tim Fischer; Yassir El Baz; Giulia Scanferla; Nicole Graf; Frederike Waldeck; Gian-Reto Kleger; Thomas Frauenfelder; Jens Bremerich; Sabine Schmidt Kobbe; Jean-Luc Pagani; Sebastian Schindera; Anna Conen; Simon Wildermuth; Sebastian Leschka; Carol Strahm; Stephan Waelti; Tobias Johannes Dietrich; Werner C Albrich Journal: Eur J Radiol Open Date: 2022-06-24
Authors: Jordan H Chamberlin; Gilberto Aquino; Uwe Joseph Schoepf; Sophia Nance; Franco Godoy; Landin Carson; Vincent M Giovagnoli; Callum E Gill; Liam J McGill; Jim O'Doherty; Tilman Emrich; Jeremy R Burt; Dhiraj Baruah; Akos Varga-Szemes; Ismail M Kabakus Journal: Acad Radiol Date: 2022-04-04 Impact factor: 5.482