Quantitative Evaluation of Airway Lesions in Chronic Obstructive Pulmonary Disease by Applying Deep Learning Reconstruction to Ultra-high-resolution CT Images: Correlation between Wall Area Percentage and Forced Expiratory Volume in One Second Percentage
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- Muramatsu Shun
- Department of Radiology, Ohara General Hospital
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- Sato Kazuhiro
- Faculty of Health Sciences, Hokkaido University of Science
Bibliographic Information
- Other Title
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- 高精細CT画像にdeep learning reconstructionを適用した慢性閉塞性肺疾患の気道病変の定量評価: wall area percentageとforced expiratory volume in one second percentageとの相関
- コウセイサイ CT ガゾウ ニ deep learning reconstruction オ テキヨウ シタ マンセイ ヘイソクセイ ハイ シッカン ノ キドウ ビョウヘン ノ テイリョウ ヒョウカ : wall area percentage ト forced expiratory volume in one second percentage ト ノ ソウカン
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Abstract
<p>Purpose: Using ultra-high-resolution images reconstructed with the Advanced intelligent Clear-IQ Engine (AiCE) lung to measure wall area percentage (WA%), we demonstrated that WA% measured in more distal bronchus has a stronger correlation with respiratory function (FEV1%). Furthermore, we also demonstrated that WA% measured from images with the higher spatial resolution has a stronger correlation with FEV1%. Methods: The modulation transfer function (MTF) and noise power spectrum (NPS) of the ultra-high-resolution images reconstructed by the AiCE body and the AiCE lung were compared. In addition, WA% from the first- to seventh-generation bronchus was measured for B1 and B10 in the right lung from clinical images obtained with the two reconstruction methods, and the correlation coefficients with FEV1% were evaluated. Results: The MTF was more superior for the AiCE lung than for the AiCE body, and the NPS was lower for the AiCE lung than for the AiCE body in the low-frequency region. The correlation between WA% and FEV1% was slightly stronger in the AiCE lung than in the AiCE body. Conclusion: This study showed that WA% measured from the 7th-generation bronchus using ultra-high-resolution images reconstructed with the AiCE lung strengthens the correlation with FEV1%. Furthermore, the higher the spatial resolution of the measurement images, the stronger the correlation between WA% and FEV1%.</p>
Journal
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- Japanese Journal of Radiological Technology
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Japanese Journal of Radiological Technology 78 (10), 1167-1175, 2022
Japanese Society of Radiological Technology
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Keywords
Details 詳細情報について
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- CRID
- 1390293810374967296
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- NII Book ID
- AN00197784
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- ISSN
- 18814883
- 03694305
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- NDL BIB ID
- 032488936
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- PubMed
- 35989253
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- Crossref
- PubMed
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- Abstract License Flag
- Disallowed