Ultra-high-resolution computed tomography can demonstrate alveolar collapse in novel coronavirus (COVID-19) pneumonia
| العنوان: | Ultra-high-resolution computed tomography can demonstrate alveolar collapse in novel coronavirus (COVID-19) pneumonia |
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| المؤلفون: | Eri Hagiwara, Tae Iwasawa, Takafumi Yamaya, Hideya Kitamura, Daisuke Utsunomiya, Shigeru Komatsu, Yoshinori Uchida, Midori Sato, Yozo Sato, Takashi Ogura |
| المصدر: | Japanese Journal of Radiology |
| بيانات النشر: | Springer Science and Business Media LLC, 2020. |
| سنة النشر: | 2020 |
| مصطلحات موضوعية: | Lung, Coronavirus disease 2019 (COVID-19), medicine.diagnostic_test, business.industry, medicine.medical_treatment, Computed tomography, respiratory system, medicine.disease_cause, Ultra high resolution, respiratory tract diseases, 030218 nuclear medicine & medical imaging, Radiation therapy, 03 medical and health sciences, 0302 clinical medicine, medicine.anatomical_structure, Radiology Nuclear Medicine and imaging, 030220 oncology & carcinogenesis, medicine, Radiology, Nuclear Medicine and imaging, Lung volumes, Tomography, business, Nuclear medicine, Coronavirus |
| الوصف: | 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). 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. 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. U-HRCT can evaluate not only the distribution and hallmarks of COVID-19 pneumonia but also visualize local lung volume loss. |
| اللغة: | English |
| تدمد: | 1867-108X 1867-1071 |
| DOI: | 10.1007/s11604-020-00956-y |
| الوصول الحر: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ed75acb6ca981c49489062ae468b496aTest |
| حقوق: | OPEN |
| رقم الانضمام: | edsair.doi.dedup.....ed75acb6ca981c49489062ae468b496a |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 1867108X 18671071 |
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| DOI: | 10.1007/s11604-020-00956-y |