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Ultra-high-resolution computed tomography can demonstrate alveolar collapse in novel coronavirus (COVID-19) pneumonia.
Jpn J Radiol. 2020 May; 38(5):394-398.JJ

Abstract

PURPOSE

To review the chest computed tomography (CT) findings on the ultra-high-resolution CT (U-HRCT) in patients with the Novel coronavirus disease 2019 (COVID-19).

MATERIALS AND METHODS

In February 2020, six consecutive patients with COVID-19 pneumonia (median age, 69 years) underwent U-HR CT imaging. U-HR-CT has a larger matrix size of 1024 × 1024 thinner slice thickness of 0.25 mm and can demonstrate terminal bronchioles in the normal lungs; as a result, Reid's secondary lobules and their abnormalities can be identified. The distribution and hallmarks (ground-glass opacity, consolidation with or without architectural distortion, linear opacity, crazy paving) of the lung opacities on U-HRCT were visually evaluated on a 1 K monitor by two experienced reviewers. The CT lung volume was measured, and the ratio of the measured lung volume to the predicted total lung capacity (predTLC) based on sex, age and height was calculated.

RESULTS

All cases showed crazy paving pattern in U-HRCT. In these lesions, the secondary lobules were smaller than those in the un-affected lungs. CT lung volume decreased in two cases comparing predTLC.

CONCLUSION

U-HRCT can evaluate not only the distribution and hallmarks of COVID-19 pneumonia but also visualize local lung volume loss.

Links

Publisher Full Text
ncbi.nlm.nih.gov
dx.doi.org
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Authors+Show Affiliations

Iwasawa T
Department of Radiology, Kanagawa Cardiovascular and Respiratory Center, 6-16-1, Tomioka-higashi, Kanazawa-ku, Yokohama, 236-0051, Japan. tae_i_md@wb3.so-net.ne.jp. Departement of Diagnostic Radiology, Yokohama City University, School of Medicine, Yokohama, Japan. tae_i_md@wb3.so-net.ne.jp.
Sato M
Department of Respiratory Medicine, Kanagawa Cardiovascular & Respiratory Centerr, Yokohama, Japan.
Yamaya T
Department of Respiratory Medicine, Kanagawa Cardiovascular & Respiratory Centerr, Yokohama, Japan.
Sato Y
Department of Respiratory Medicine, Kanagawa Cardiovascular & Respiratory Centerr, Yokohama, Japan.
Uchida Y
Department of Respiratory Medicine, Kanagawa Cardiovascular & Respiratory Centerr, Yokohama, Japan.
Kitamura H
Department of Respiratory Medicine, Kanagawa Cardiovascular & Respiratory Centerr, Yokohama, Japan.
Hagiwara E
Department of Respiratory Medicine, Kanagawa Cardiovascular & Respiratory Centerr, Yokohama, Japan.
Komatsu S
Department of Respiratory Medicine, Kanagawa Cardiovascular & Respiratory Centerr, Yokohama, Japan.
Utsunomiya D
Department of Radiology, Kanagawa Cardiovascular and Respiratory Center, 6-16-1, Tomioka-higashi, Kanazawa-ku, Yokohama, 236-0051, Japan. Departement of Diagnostic Radiology, Yokohama City University, School of Medicine, Yokohama, Japan.
Ogura T
Department of Respiratory Medicine, Kanagawa Cardiovascular & Respiratory Centerr, Yokohama, Japan.

MeSH

AgedBetacoronavirusCOVID-19Coronavirus InfectionsFemaleHumansLungMaleMiddle AgedPandemicsPneumonia, ViralPulmonary AlveoliSARS-CoV-2Tomography, X-Ray Computed

Pub Type(s)

Journal Article

Language

eng

PubMed ID

32236856

Citation

Iwasawa, Tae, et al. "Ultra-high-resolution Computed Tomography Can Demonstrate Alveolar Collapse in Novel Coronavirus (COVID-19) Pneumonia." Japanese Journal of Radiology, vol. 38, no. 5, 2020, pp. 394-398.
Iwasawa T, Sato M, Yamaya T, et al. Ultra-high-resolution computed tomography can demonstrate alveolar collapse in novel coronavirus (COVID-19) pneumonia. Jpn J Radiol. 2020;38(5):394-398.
Iwasawa, T., Sato, M., Yamaya, T., Sato, Y., Uchida, Y., Kitamura, H., Hagiwara, E., Komatsu, S., Utsunomiya, D., & Ogura, T. (2020). Ultra-high-resolution computed tomography can demonstrate alveolar collapse in novel coronavirus (COVID-19) pneumonia. Japanese Journal of Radiology, 38(5), 394-398. https://doi.org/10.1007/s11604-020-00956-y
Iwasawa T, et al. Ultra-high-resolution Computed Tomography Can Demonstrate Alveolar Collapse in Novel Coronavirus (COVID-19) Pneumonia. Jpn J Radiol. 2020;38(5):394-398. PubMed PMID: 32236856.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Ultra-high-resolution computed tomography can demonstrate alveolar collapse in novel coronavirus (COVID-19) pneumonia. AU - Iwasawa,Tae, AU - Sato,Midori, AU - Yamaya,Takafumi, AU - Sato,Yozo, AU - Uchida,Yoshinori, AU - Kitamura,Hideya, AU - Hagiwara,Eri, AU - Komatsu,Shigeru, AU - Utsunomiya,Daisuke, AU - Ogura,Takashi, Y1 - 2020/03/31/ PY - 2020/03/06/received PY - 2020/03/10/accepted PY - 2020/4/3/pubmed PY - 2020/5/1/medline PY - 2020/4/3/entrez KW - Crazy-paving pattern KW - Novel coronavirus KW - Pneumonia KW - Ultra-high-resolution computed tomography SP - 394 EP - 398 JF - Japanese journal of radiology JO - Jpn J Radiol VL - 38 IS - 5 N2 - PURPOSE: To review the chest computed tomography (CT) findings on the ultra-high-resolution CT (U-HRCT) in patients with the Novel coronavirus disease 2019 (COVID-19). MATERIALS AND METHODS: In February 2020, six consecutive patients with COVID-19 pneumonia (median age, 69 years) underwent U-HR CT imaging. U-HR-CT has a larger matrix size of 1024 × 1024 thinner slice thickness of 0.25 mm and can demonstrate terminal bronchioles in the normal lungs; as a result, Reid's secondary lobules and their abnormalities can be identified. The distribution and hallmarks (ground-glass opacity, consolidation with or without architectural distortion, linear opacity, crazy paving) of the lung opacities on U-HRCT were visually evaluated on a 1 K monitor by two experienced reviewers. The CT lung volume was measured, and the ratio of the measured lung volume to the predicted total lung capacity (predTLC) based on sex, age and height was calculated. RESULTS: All cases showed crazy paving pattern in U-HRCT. In these lesions, the secondary lobules were smaller than those in the un-affected lungs. CT lung volume decreased in two cases comparing predTLC. CONCLUSION: U-HRCT can evaluate not only the distribution and hallmarks of COVID-19 pneumonia but also visualize local lung volume loss. SN - 1867-108X UR - https://www.unboundmedicine.com/medline/citation/32236856/Ultra_high_resolution_computed_tomography_can_demonstrate_alveolar_collapse_in_novel_coronavirus__COVID_19__pneumonia_ L2 - https://dx.doi.org/10.1007/s11604-020-00956-y DB - PRIME DP - Unbound Medicine ER -