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タイトル: | Recent advances in airway imaging using micro-computed tomography and computed tomography for chronic obstructive pulmonary disease |
著者: | Tanabe, Naoya ![]() ![]() ![]() Hirai, Toyohiro |
著者名の別形: | 田辺, 直也 平井, 豊博 |
キーワード: | Airway obstruction Tomography X-ray computed Pulmonary disease chronic obstructive Pathology Emphysema |
発行日: | Oct-2021 |
出版者: | Korean Association of Internal Medicine |
誌名: | The Korean Journal of Internal Medicine |
巻: | 36 |
号: | 6 |
開始ページ: | 1294 |
終了ページ: | 1304 |
抄録: | Chronic obstructive pulmonary disease (COPD) is a complex lung disease characterized by a combination of airway disease and emphysema. Emphysema is classified as centrilobular emphysema (CLE), paraseptal emphysema (PSE), or panlobular emphysema (PLE), and airway disease extends from the respiratory, terminal, and preterminal bronchioles to the central segmental airways. Although clinical computed tomography (CT) cannot be used to visualize the small airways, micro-CT has shown that terminal bronchiole disease is more severe in CLE than in PSE and PLE, and micro-CT findings suggest that the loss and luminal narrowing of terminal bronchioles is an early pathological change in CLE. Furthermore, the introduction of ultra-high-resolution CT has enabled direct evaluation of the proximal small (1 to 2-mm diameter) airways, and new CT analytical methods have enabled estimation of small airway disease and prediction of future COPD onset and lung function decline in smokers with and without COPD. This review discusses the literature on micro-CT and the technical advancements in clinical CT analysis for COPD. Hopefully, novel micro-CT findings will improve our understanding of the distinct pathogeneses of the emphysema subtypes to enable exploration of new therapeutic targets, and sophisticated CT imaging methods will be integrated into clinical practice to achieve more personalized management. |
著作権等: | Copyright © 2021 The Korean Association of Internal Medicine This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License, which permits unrestricted noncommercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
URI: | http://hdl.handle.net/2433/277923 |
DOI(出版社版): | 10.3904/kjim.2021.124 |
PubMed ID: | 34607419 |
出現コレクション: | 学術雑誌掲載論文等 |

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