Literature DB >> 32755198

Lung Ultrasound Findings in Patients With Coronavirus Disease (COVID-19).

Yao Zhang1, Heng Xue2, Mixue Wang1, Nan He1, Zhibin Lv3, Ligang Cui2.   

Abstract

OBJECTIVE. Although chest CT is the standard imaging modality in early diagnosis and management of coronavirus disease (COVID-19), the use of lung ultrasound (US) presents some advantages over the use of chest CT and may play a complementary role in the workup of COVID-19. The objective of our study was to investigate US findings in patients with COVID-19 and the relationship of the US findings with the duration of symptoms and disease severity. MATERIALS AND METHODS. From March 3, 2020, to March 30, 2020, consecutive patients with a positive reverse transcriptase polymerase chain reaction test result for the virus that causes COVID-19 were enrolled in this study. Lung US was performed, and the imaging features were analyzed. The Fisher exact test was used to compare the percentages of patients with each US finding between groups with different symptom durations and disease severity. RESULTS. Our study population comprised 28 patients (14 men and 14 women; mean age ± SD, 59.8 ± 18.3 years; age range, 21-92 years). All 28 patients (100.0%, 28/28) had positive lung US findings. The most common findings were the following: B-lines (100.0%, 28/28), consolidation (67.9%, 19/28), and a thickened pleural line (60.7%, 17/28). A thickened pleural line was observed in a higher percentage of patients with a longer duration of the disease than in those with a shorter duration of the disease, and pulmonary consolidations were more common in severe and critical cases than in moderate cases. CONCLUSION. Typical lung US findings in patients with COVID-19 included B-lines, pulmonary consolidation, and a thickened pleural line. In addition, our results indicate that lung US findings can be be used to reflect both the infection duration and disease severity.

Entities:  

Keywords:  COVID-19; US; coronavirus disease; sonography; ultrasound

Mesh:

Year:  2020        PMID: 32755198     DOI: 10.2214/AJR.20.23513

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  14 in total

1.  From the Triage to the Intermediate Area: A Simple and Fast Model for COVID-19 in the Emergency Department.

Authors:  Erika Poggiali; Enrico Fabrizi; Davide Bastoni; Teresa Iannicelli; Claudia Galluzzo; Chiara Canini; Maria Grazia Cillis; Davide Giulio Ponzi; Andrea Magnacavallo; Andrea Vercelli
Journal:  Int J Environ Res Public Health       Date:  2022-06-30       Impact factor: 4.614

2.  Lung Ultrasound Findings in Patients Hospitalized With COVID-19.

Authors:  Andre Kumar; Yingjie Weng; Youyou Duanmu; Sally Graglia; Farhan Lalani; Kavita Gandhi; Viveta Lobo; Trevor Jensen; Sukyung Chung; Jeffrey Nahn; John Kugler
Journal:  J Ultrasound Med       Date:  2021-03-05       Impact factor: 2.754

3.  Lung Ultrasound for Identification of Patients Requiring Invasive Mechanical Ventilation in COVID-19.

Authors:  Claudia Seiler; Cecilia Klingberg; Maria Hårdstedt
Journal:  J Ultrasound Med       Date:  2021-01-26       Impact factor: 2.754

Review 4.  Ultrasound findings of lung ultrasonography in COVID-19: A systematic review.

Authors:  Jaime Gil-Rodríguez; Javier Pérez de Rojas; Pablo Aranda-Laserna; Alberto Benavente-Fernández; Michel Martos-Ruiz; José-Antonio Peregrina-Rivas; Emilio Guirao-Arrabal
Journal:  Eur J Radiol       Date:  2022-01-20       Impact factor: 3.528

5.  COVID-19: persistence of symptoms and lung alterations after 3-6 months from hospital discharge.

Authors:  Alberto Fortini; Arianna Torrigiani; Serena Sbaragli; Aldo Lo Forte; Andrea Crociani; Paolo Cecchini; Giulia Innocenti Bruni; Antonio Faraone
Journal:  Infection       Date:  2021-06-06       Impact factor: 7.455

Review 6.  Imaging of Coronavirus Disease 2019 Infection From Head to Toe: A Primer for the Radiologist.

Authors:  Zohra Ahmad; Sneha Goswami; Ambikapathi Paneerselvam; Kaviraj Kabilan; Himanshu Chowdhury; Ambuj Roy; Randeep Guleria; Kapil Dev Soni; Udismita Baruah; Chandan J Das
Journal:  Curr Probl Diagn Radiol       Date:  2021-07-05

Review 7.  Medical imaging and computational image analysis in COVID-19 diagnosis: A review.

Authors:  Shahabedin Nabavi; Azar Ejmalian; Mohsen Ebrahimi Moghaddam; Ahmad Ali Abin; Alejandro F Frangi; Mohammad Mohammadi; Hamidreza Saligheh Rad
Journal:  Comput Biol Med       Date:  2021-06-23       Impact factor: 6.698

Review 8.  Laboratory diagnosis of COVID-19.

Authors:  Ekaterini S Goudouris
Journal:  J Pediatr (Rio J)       Date:  2020-08-31       Impact factor: 2.990

Review 9.  Thoracic imaging outcomes in COVID-19 survivors.

Authors:  Jaber S Alqahtani; Saeed M Alghamdi; Abdulelah M Aldhahir; Malik Althobiani; Reynie Purnama Raya; Tope Oyelade
Journal:  World J Radiol       Date:  2021-06-28

Review 10.  Comprehensive Survey of Using Machine Learning in the COVID-19 Pandemic.

Authors:  Nora El-Rashidy; Samir Abdelrazik; Tamer Abuhmed; Eslam Amer; Farman Ali; Jong-Wan Hu; Shaker El-Sappagh
Journal:  Diagnostics (Basel)       Date:  2021-06-24
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