ArticleInternational journal of chronic obstructive pulmonary disease2017
Size variation and collapse of emphysema holes at inspiration and expiration CT scan: evaluation with modified length scale method and image co-registration.
Article in International journal of chronic obstructive pulmonary disease, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.
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8 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Chest CT in the evaluation of chronic obstructive pulmonary disease: recommendations of Asian Society of Thoracic Radiology.The British journal of radiology · 2026Guideline
- Structural determinants of pulmonary diffusing capacity identified by network analysis and machine learning on quantitative CT.Scientific reports · 2026Article
- Evaluation of retrieval accuracy and visual similarity in content-based image retrieval of chest CT for obstructive lung disease.Scientific reports · 2024Article
- Progression of pulmonary cysts in Birt-Hogg-Dubé syndrome: longitudinal thoracic computed tomography study with quantitative assessment.BMC pulmonary medicine · 2023Article
- Bullous Parametric Response Map for Functional Localization of COPD.Journal of digital imaging · 2022Article
- Quantitative CT parameters correlate with lung function in chronic obstructive pulmonary disease: A systematic review and meta-analysis.Frontiers in surgery · 2022Review
- When Treatment of Pulmonary Emphysema with Endobronchial Valves Did Not Work: Evaluation of Quantitative CT Analysis and Pulmonary Function Tests Before and After Valve Explantation.International journal of chronic obstructive pulmonary disease · 2022Article
- Radiomics approach for survival prediction in chronic obstructive pulmonary disease.European radiology · 2021Article
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7 authors.
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Abstract
A novel approach of size-based emphysema clustering has been developed, and the size variation and collapse of holes in emphysema clusters are evaluated at inspiratory and expiratory computed tomography (CT). Thirty patients were visually evaluated for the size-based emphysema clustering technique and a total of 72 patients were evaluated for analyzing collapse of the emphysema hole in this study. A new approach for the size differentiation of emphysema holes was developed using the length scale, Gaussian low-pass filtering, and iteration approach. Then, the volumetric CT results of the emphysema patients were analyzed using the new method, and deformable registration was carried out between inspiratory and expiratory CT. Blind visual evaluations of EI by two readers had significant correlations with the classification using the size-based emphysema clustering method (
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