Literature DB >> 31574362

Direct evaluation of peripheral airways using ultra-high-resolution CT in chronic obstructive pulmonary disease.

Naoya Tanabe1, Hiroshi Shima2, Susumu Sato3, Tsuyoshi Oguma4, Takeshi Kubo5, Satoshi Kozawa6, Koji Koizumi7, Atsuyasu Sato8, Kaori Togashi9, Toyohiro Hirai10.   

Abstract

PURPOSE: Disease in small airways <2 mm in diameter is a major pathology of chronic obstructive pulmonary disease (COPD). However, compared to airways <1 mm in diameter, the pathophysiological role of airways 1-2 mm in diameter remains unclear. This study analysed phantom and human COPD data to test the hypothesis that ultra-high-resolution computed tomography (U-HRCT) can accurately measure peripheral airways that are difficult to measure with conventional CT.
METHOD: The lower limit of lumen sizes measurable on U-HRCT was determined using phantom tubes. In the cross-sectional data of 110 males with COPD who underwent U-HRCT (1024 × 1024 matrix, 0.25 mm slice thickness) and spirometry, all 3rd (segmental) to 6th generation airways of the right apical and basal posterior bronchus (RB1 and RB10) were analysed.
RESULTS: The errors in measuring the lumen area (LA) of phantom tubes ≥1.3 and 1.0 mm in diameter were within ±10 and -24%, respectively. The internal diameters for 70 and 62% of the 6th generation RB1 and RB10 airways were <2 mm. The numbers of 6th generation RB1 and RB10 airways decreased as the airflow limitation severity increased. Among the mean LA and sum of LA(sum-LA) of the 3rd to 6th generation airways, the sum-LA of the 6th generation had the largest impact on airflow limitation.
CONCLUSIONS: U-HRCT enables accurate and direct evaluation of peripheral airways 1-2 mm in diameter. The 6th generation airways are commonly <2 mm in diameter, and the sum-LA can be a useful CT biomarker that reflects airflow limitation in COPD.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Chronic obstructive pulmonary disease; Computed tomography; Emphysema; Lung; Small airway

Mesh:

Year:  2019        PMID: 31574362     DOI: 10.1016/j.ejrad.2019.108687

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  5 in total

1.  Comparison of lung CT number and airway dimension evaluation capabilities of ultra-high-resolution CT, using different scan modes and reconstruction methods including deep learning reconstruction, with those of multi-detector CT in a QIBA phantom study.

Authors:  Yoshiharu Ohno; Naruomi Akino; Yasuko Fujisawa; Hirona Kimata; Yuya Ito; Kenji Fujii; Yumi Kataoka; Yoshihiro Ida; Yuka Oshima; Nayu Hamabuchi; Chika Shigemura; Ayumi Watanabe; Yuki Obama; Satomu Hanamatsu; Takahiro Ueda; Hirotaka Ikeda; Kazuhiro Murayama; Hiroshi Toyama
Journal:  Eur Radiol       Date:  2022-07-16       Impact factor: 7.034

2.  Evaluation of peripheral bronchiole visualization using model-based iterative reconstruction in quarter-detector computed tomography.

Authors:  Yukiko Usui; Ryo Kurokawa; Eriko Maeda; Harushi Mori; Shiori Amemiya; Jiro Sato; Kenji Ino; Rumiko Torigoe; Osamu Abe
Journal:  PLoS One       Date:  2020-09-18       Impact factor: 3.240

3.  Differences in airway lumen area between supine and upright computed tomography in patients with chronic obstructive pulmonary disease.

Authors:  Shotaro Chubachi; Yoshitake Yamada; Minoru Yamada; Yoichi Yokoyama; Akiko Tanabe; Shiho Matsuoka; Yuki Niijima; Wakako Yamasawa; Hidehiro Irie; Mitsuru Murata; Koichi Fukunaga; Masahiro Jinzaki
Journal:  Respir Res       Date:  2021-03-31

4.  A Pilot Study to Estimate the Impact of High Matrix Image Reconstruction on Chest Computed Tomography.

Authors:  Akitoshi Inoue; Tucker F Johnson; Benjamin A Voss; Yong S Lee; Shuai Leng; Chi Wan Koo; Brian D McCollough; Jayse M Weaver; Hao Gong; Rickey E Carter; Cynthia H McCollough; Joel G Fletcher
Journal:  J Clin Imaging Sci       Date:  2021-09-30

5.  Workload of diagnostic radiologists in the foreseeable future based on recent scientific advances: growth expectations and role of artificial intelligence.

Authors:  Thomas C Kwee; Robert M Kwee
Journal:  Insights Imaging       Date:  2021-06-29
  5 in total

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