2021 Fiscal Year Final Research Report
Quantitative analysis of peripheral airway using inspiratory/expiratory ultrahigh resolution CT in patients with COPD
| Project/Area Number |
19K08175
|
|---|
| Research Category |
Grant-in-Aid for Scientific Research (C)
|
| Allocation Type | Multi-year Fund |
|---|
| Section | 一般 |
|---|
| Review Section |
Basic Section 52040:Radiological sciences-related
|
|---|
| Research Institution | Kyushu University |
|---|
Principal Investigator |
|
|---|
| Co-Investigator(Kenkyū-buntansha) |
神谷 武志 九州大学, 大学病院, 助教 (20419534)
佐々木 雅之 九州大学, 医学研究院, 教授 (40240907)
|
|---|
| Project Period (FY) |
2019-04-01 – 2022-03-31
|
| Keywords | 吸気呼気CT / 超高精細CT / COPD / 残基率 / 移動量 |
|---|
| Outline of Final Research Achievements |
We collected inspiratory and expiratory whole lung volume data using UHRCT and spirometric data in 30 COPD patients. We compared LAA%insp, LAA%exp, RVC860-950, transitional volume, volume change ratio, and expansive ratio per voxel between increased residual volume ratio group and decreased residual volume ratio group. There were significant differences in RVC860-950, transitional volume, volume change ratio, and expansive ratio per voxel between the two groups. Transitional volume proved to be the best significant discriminator. We also preoperatively collected inspiratory and expiratory whole lung volume data using UHRCT for 30 patients with primary lung cancer. We investigated whether there was any correlations existed between histopathological grade and several CT parameters.There was significant correlation between histopathological grade and solid part ratio, Δvolume ratio between inspiratory and expiratory phase, and Δsolid part ratio between inspiratory and expiratory phase.
|
| Free Research Field |
画像診断
|
| Academic Significance and Societal Importance of the Research Achievements |
残気率は肺気腫患者の予後と高い関連性が先行研究で報告されており、測定間変動が指摘されている。これまで報告されている肺気腫のCT定量評価パラメータとしてLAA％が広く使われているが、肺気腫患者におけるair-trapは呼気中に最大となると報告されており、吸気・呼気超高精細CTで得られるパラメータ（容積変化率、膨張率）により肺気腫患者の重症度判定や治療効果判定に有用であることが示唆された。
肺癌の病理組織亜型の構成によるグレード分類は予後を反映するため、縮小手術の適応決定や予後予測を吸気・呼気超高精細CTで得られるパラメータ（腫瘍容積の変化率、充実成分比変化率）により正確に行える可能性が示唆された。
|
