Fractal dimension in CT low attenuation areas is predictive of long-term oxygen therapy initiation in COPD patients: Results from two observational cohort studies.

• Material Type: 博士論文
• Title: Fractal dimension in CT low attenuation areas is predictive of long-term oxygen therapy initiation in COPD patients: Results from two observational cohort studies.
• Author/Editor: Ibaraki, Takahiro; Tomoda, Koich; Fujioka, Nobuhiro; Sakaguchi, Kazuhiro; Fujita, Yukio; Yamamoto, Yoshifumi; Hontsu, Shigeto; Yamauchi, Motoo; Yoshikawa, Masanori; Tanabe, Naoya; Tanimura, Kazuya; Sato, Susumu; Saeki, Keigo; Muro, Shigeo
• Author Heading: Ibaraki, Takahiro; Tomoda, Koich; Fujioka, Nobuhiro; Sakaguchi, Kazuhiro; Fujita, Yukio; Yamamoto, Yoshifumi; Hontsu, Shigeto; Yamauchi, Motoo; Yoshikawa, Masanori; Tanabe, Naoya; Tanimura, Kazuya; Sato, Susumu; Saeki, Keigo; Muro, Shigeo
• Publication, Distribution, etc.: Elsevier
• Publication Date: 2022-01
• Publication Date (W3CDTF): 2022-01
• Alternative Title: CTにおける低吸収領域のフラクタル次元は、COPD患者の長期酸素療法開始を予測する : 2つのコホート研究結果より
• Periodical title: Respiratory investigation
• No. or year of volume/issue: 60 1
• Volume: 60
• Issue: 1
• Pages: 137-145
• ISSN (Periodical Title): ISSN : 2212-5345
• Degree grantor/type: 奈良県立医科大学
• Date Granted: 2022-03-15
• Dissertation Number: 甲第824号
• Degree Type: 博士（医学）
• Text Language Code: eng
• Subject Heading: COPD; Computed tomography; Fractal property; Long term oxygen therapy (LTOT); Pulmonary function test
• Target Audience: 一般
• Note (General): type:Thesis; Background: Some chronic obstructive pulmonary disease (COPD) patients develop hypoxemia with disease progression, with some even requiring long-term oxygen therapy (LTOT). Lung function, especially diffusing capacity, and the annual decline in PaO₂, are reported to be predictive factors of chronic respiratory failure. However, the association between lung morphometry evaluated using computed tomography (CT) images and LTOT initiation is unknown. Methods: We retrospectively evaluated the relationship between clinical indices, including pulmonary function, body mass index (BMI), and CT parameters, at baseline and LTOT initiation in two prospective COPD cohorts. In the Nara Medical University cohort (n = 76), the low attenuation area (LAA) and its fractal dimension (fractal D) were adapted as the indices for parenchymal destruction in CT images. The association between these CT measurements and LTOT initiation was replicated in the Kyoto University cohort (n = 130). Results: In the Nara Medical University cohort, lower BMI (hazard ratio [HR]:0.70, p = 0.006), lower % diffusing capacity (%DLCO) (HR: 0.92, p = 0.006), lower %DLCO/VA (HR, 0.90, p = 0.008), higher RV/TLC (HR, 1.26, p = 0.012), higher LAA% (HR: 1.18, p = 0.001), and lower fractal D (HR: 3.27 × 10⁻⁸, p < 0.001) were associated with LTOT initiation. Multivariate analysis in the Kyoto University cohort confirmed that lower %DLCO and lower fractal D were independently associated with LTOT initiation, whereas LAA% was not. Conclusion: Fractal D, which is the index for morphometric complexity of LAA in CT analysis, is predictive of LTOT initiation in COPD patients.; 博士（医学）・甲第824号・令和4年3月15日; © 2021 The Authors Published by Elsevier B.V. on behalf of The Japanese Respiratory Society.; identifier:Respiratory investigation Vol.60 No.1 p.137-145 (2022 Jan); identifier:22125345; identifier:http://ginmu.naramed-u.ac.jp/dspace/handle/10564/4007; identifier:Respiratory investigation, 60(1): 137-145
• Source: fulltext; http://ginmu.naramed-u.ac.jp/dspace/bitstream/10564/4007/1/01%e7%94%b2824%e6%9c%ac%e6%96%87%e3%81%ae%e8%a6%81%e6%97%a8.pdf; http://ginmu.naramed-u.ac.jp/dspace/bitstream/10564/4007/2/02%e7%94%b2824%e5%af%a9%e6%9f%bb%e8%a6%81%e6%97%a8.pdf; http://ginmu.naramed-u.ac.jp/dspace/bitstream/10564/4007/3/03%e7%94%b2824%e6%9c%ac%e6%96%87.pdf
• Access Restrictions: インターネット公開
• Related Material (DOI): 10.1016/j.resinv.2021.09.001
• Periodical Title (NCID): AA12579673; https://ci.nii.ac.jp/ncid/AA12579673
• Data Provider (Database): 国立情報学研究所 : 学術機関リポジトリデータベース（IRDB）（機関リポジトリ）; https://irdb.nii.ac.jp
• Original Data Provider (Database): 奈良県立医科大学 : 奈良県立医科大学機関リポジトリ GINMU