Literature DB >> 32331781

Ultrasound in COVID-19: a timeline of ultrasound findings in relation to CT.

M J Fiala1.   

Abstract

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Year:  2020        PMID: 32331781      PMCID: PMC7165267          DOI: 10.1016/j.crad.2020.04.003

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


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Sir—The novel coronavirus (Sars-Cov-2) produces a mild to severe lower respiratory tract infection that is commonly identified by imaging in affected patients, in some cases even before symptom development. Computed tomography (CT) has been the primary imaging method evaluated to date and is often being recommended as a screening tool for patients suspected of having COVID-19. Lung ultrasound is an alternative imaging method with emerging evidence that supports its ability to identify characteristic lesions seen in COVID-19 that are highly consistent with CT imaging, , without many of the downsides. For clinicians wishing to use ultrasound in the management of patients with COVID-19, it is important to understand the characteristic findings and the timeline in which they would occur. These are described below in comparison to CT. It is estimated that lung abnormalities present early in the course of disease with bilateral, basal, and peripheral involvement in approximately 50–75% of patients , and occur in identifiable stages. Using CT, Jin et al. described five temporal stages of the disease in the lungs as ultra-early (asymptomatic, 1–2 weeks after exposure), early (1–3 days from symptom presentation), rapid progression (3–7 days from symptom presentation), consolidation (7–14 days from symptom presentation), and dissipation (2–3 weeks after symptom onset), each occurring with associated findings. Similar categories were described by Pan et al. with the exception of a pre-symptomatic phase. CT findings begin as single or multifocal ground-glass opacities, pulmonary nodules, or air bronchograms, which progress with development of interlobular septal thickening and crazy paving, before regression in both size and density at the end of the second week of infection. Opacities often have extensive distribution, typically bilaterally, but also seen unilaterally, with occasional round morphology or reversed-halo or atoll sign. In the dissipation phase, there may be continued patchy consolidative opacities in addition to reticular “strip-like” opacities, bronchial wall thickening, and interlobular septal thickening. , The characteristic ultrasound findings (bilateral and multilobar B-lines, subpleural consolidates, irregular pleural line, and decreased blood flow , , ) have been shown to be highly consistent with CT findings , and can be expected to develop over a similar timeline. During the first few days of symptom presentation, scattered unilateral or bilateral multilobar B-lines can be visualised. , As the disease progresses from the end of week 1 through week 2, development of alveolar interstitial syndrome with diffuse, bilateral B-lines can occur in addition to an irregular pleural line with punctate defects and formation of subpleural consolidations with visible air bronchograms. Lastly, after the end of week 2 during convalescence, there can be an expected regression of prior findings with re-emergence of A-lines. A summary of findings is listed in Table 1 .
Table 1

Timeline of common findings of COVID-19 in computed tomography (CT) and ultrasound.,3, 4, 5, 6, 7, 8, 9

Symptom onset (days)CTUltrasound
0–3Single or multiple scattered and patchy GGO, patchy grid-like thickness of interlobular septaUnilateral or bilateral focal B-lines
3–7Fused and large-scale consolidation with internal air bronchograms, crazy-paving pattern, multi-lobe GGOBilateral diffuse B-lines with irregular pleural line and punctate defects, subpleural consolidations, air bronchograms
7–14Multiple patchy consolidations that are reduced in size and density, crazy-paving pattern
14–21Reduced patchy consolidations, strip-like opacities, grid-like thickening of interlobular septum, minimal crazy pavingResolving consolidations, A-lines

GGO, ground-glass opacity.

Timeline of common findings of COVID-19 in computed tomography (CT) and ultrasound.,3, 4, 5, 6, 7, 8, 9 GGO, ground-glass opacity. Although the literature remains limited, there is still a clear benefit for clinicians to be familiar with ultrasound findings and their progression in COVID-19 patients. It may be particularly useful in helping emergency personnel to triage and diagnose suspected patients, but also for monitoring progression of the disease throughout hospitalisation. Additionally, it offers substantial benefits in comparison to CT imaging, including portability, lower cost, reduced radiation, and ease of sterilisation. Physicians are encouraged to be familiar with and to utilise lung ultrasound in the management of COVID-19 patients.

Conflict of interest

The author declares no conflict of interest.
  7 in total

1.  Coronavirus Disease 2019 (COVID-19): A Systematic Review of Imaging Findings in 919 Patients.

Authors:  Sana Salehi; Aidin Abedi; Sudheer Balakrishnan; Ali Gholamrezanezhad
Journal:  AJR Am J Roentgenol       Date:  2020-03-14       Impact factor: 3.959

2.  Essentials for Radiologists on COVID-19: An Update-Radiology Scientific Expert Panel.

Authors:  Jeffrey P Kanne; Brent P Little; Jonathan H Chung; Brett M Elicker; Loren H Ketai
Journal:  Radiology       Date:  2020-02-27       Impact factor: 11.105

3.  Time Course of Lung Changes at Chest CT during Recovery from Coronavirus Disease 2019 (COVID-19).

Authors:  Feng Pan; Tianhe Ye; Peng Sun; Shan Gui; Bo Liang; Lingli Li; Dandan Zheng; Jiazheng Wang; Richard L Hesketh; Lian Yang; Chuansheng Zheng
Journal:  Radiology       Date:  2020-02-13       Impact factor: 11.105

4.  Chest CT Findings in Coronavirus Disease-19 (COVID-19): Relationship to Duration of Infection.

Authors:  Adam Bernheim; Xueyan Mei; Mingqian Huang; Yang Yang; Zahi A Fayad; Ning Zhang; Kaiyue Diao; Bin Lin; Xiqi Zhu; Kunwei Li; Shaolin Li; Hong Shan; Adam Jacobi; Michael Chung
Journal:  Radiology       Date:  2020-02-20       Impact factor: 11.105

5.  Can Lung US Help Critical Care Clinicians in the Early Diagnosis of Novel Coronavirus (COVID-19) Pneumonia?

Authors:  Erika Poggiali; Alessandro Dacrema; Davide Bastoni; Valentina Tinelli; Elena Demichele; Pau Mateo Ramos; Teodoro Marcianò; Matteo Silva; Andrea Vercelli; Andrea Magnacavallo
Journal:  Radiology       Date:  2020-03-13       Impact factor: 11.105

6.  A rapid advice guideline for the diagnosis and treatment of 2019 novel coronavirus (2019-nCoV) infected pneumonia (standard version).

Authors:  Ying-Hui Jin; Lin Cai; Zhen-Shun Cheng; Hong Cheng; Tong Deng; Yi-Pin Fan; Cheng Fang; Di Huang; Lu-Qi Huang; Qiao Huang; Yong Han; Bo Hu; Fen Hu; Bing-Hui Li; Yi-Rong Li; Ke Liang; Li-Kai Lin; Li-Sha Luo; Jing Ma; Lin-Lu Ma; Zhi-Yong Peng; Yun-Bao Pan; Zhen-Yu Pan; Xue-Qun Ren; Hui-Min Sun; Ying Wang; Yun-Yun Wang; Hong Weng; Chao-Jie Wei; Dong-Fang Wu; Jian Xia; Yong Xiong; Hai-Bo Xu; Xiao-Mei Yao; Yu-Feng Yuan; Tai-Sheng Ye; Xiao-Chun Zhang; Ying-Wen Zhang; Yin-Gao Zhang; Hua-Min Zhang; Yan Zhao; Ming-Juan Zhao; Hao Zi; Xian-Tao Zeng; Yong-Yan Wang; Xing-Huan Wang
Journal:  Mil Med Res       Date:  2020-02-06

7.  Findings of lung ultrasonography of novel corona virus pneumonia during the 2019-2020 epidemic.

Authors:  Qian-Yi Peng; Xiao-Ting Wang; Li-Na Zhang
Journal:  Intensive Care Med       Date:  2020-03-12       Impact factor: 17.440

  7 in total
  23 in total

1.  The evolution of ultrasound role in COVID-19 pandemic: from triage to screening.

Authors:  Giuseppe Pascarella; Alessandro Strumia; Michael Benjamin Stone; Chiara Piliego
Journal:  Anesth Analg       Date:  2020-07-21       Impact factor: 5.108

2.  Difficulties faced by a medical team based at a COVID-19 quarantine facility.

Authors:  Sanjeev Shanker; Dennis Wen Jie Chia; Sameera Ganti
Journal:  Singapore Med J       Date:  2020-07-30       Impact factor: 3.331

3.  Lung ultrasound score as a tool to monitor disease progression and detect ventilator-associated pneumonia during COVID-19-associated ARDS.

Authors:  Auguste Dargent; Emeric Chatelain; Salim Si-Mohamed; Marie Simon; Thomas Baudry; Louis Kreitmann; Jean-Pierre Quenot; Martin Cour; Laurent Argaud
Journal:  Heart Lung       Date:  2021-05-31       Impact factor: 2.210

4.  Frequency of Abnormalities Detected by Point-of-Care Lung Ultrasound in Symptomatic COVID-19 Patients: Systematic Review and Meta-Analysis.

Authors:  Mouhand F H Mohamed; Shaikha Al-Shokri; Zohaib Yousaf; Mohammed Danjuma; Jessiya Parambil; Samreen Mohamed; Mahmood Mubasher; Mujahed M Dauleh; Bara Hasanain; Mohamed Awni AlKahlout; Ibrahim Y Abubeker
Journal:  Am J Trop Med Hyg       Date:  2020-06-02       Impact factor: 2.345

Review 5.  [Lung ultrasound in COVID-19].

Authors:  A Seibel; W Heinz; C-A Greim; S Weber
Journal:  Anaesthesist       Date:  2020-11-13       Impact factor: 1.041

6.  Lung Ultrasound in COVID-19.

Authors:  Arushi Yadav; Jogender Kumar
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7.  Modality alignment contrastive learning for severity assessment of COVID-19 from lung ultrasound and clinical information.

Authors:  Wufeng Xue; Chunyan Cao; Jie Liu; Yilian Duan; Haiyan Cao; Jian Wang; Xumin Tao; Zejian Chen; Meng Wu; Jinxiang Zhang; Hui Sun; Yang Jin; Xin Yang; Ruobing Huang; Feixiang Xiang; Yue Song; Manjie You; Wen Zhang; Lili Jiang; Ziming Zhang; Shuangshuang Kong; Ying Tian; Li Zhang; Dong Ni; Mingxing Xie
Journal:  Med Image Anal       Date:  2021-01-20       Impact factor: 8.545

8.  The association of lung ultrasound images with COVID-19 infection in an emergency room cohort.

Authors:  S Bar; A Lecourtois; M Diouf; E Goldberg; C Bourbon; E Arnaud; L Domisse; H Dupont; P Gosset
Journal:  Anaesthesia       Date:  2020-07-01       Impact factor: 12.893

9.  Focus on the Potential Role of Lung Ultrasound in COVID-19 Pandemic: What More to Do?

Authors:  Beatrice Ragnoli; Mario Malerba
Journal:  Int J Environ Res Public Health       Date:  2020-11-13       Impact factor: 3.390

10.  In Response.

Authors:  Giuseppe Pascarella; Alessandro Strumia; Michael Benjamin Stone; Chiara Piliego
Journal:  Anesth Analg       Date:  2020-11       Impact factor: 6.627

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