医学
肺气肿
连接(拓扑)
放射科
核医学
内科学
肺
组合数学
数学
作者
Sukhraj Virdee,Wan C. Tan,James C. Hogg,Jean Bourbeau,Cameron Hague,Miranda Kirby,Elizabeth Weintraub,Jonathon Samet,Milo A. Puhan,Qutayba Hamid,Carolyn J. Baglole,Palmina Mancino,Peizhi Li,Zhi Gang Song,Dennis Jensen,Benjamin M. Smith,Yvan Fortier,Mina Dligui,Kenneth R. Chapman,Jane Duke
出处
期刊:Radiology
[Radiological Society of North America]
日期:2024-07-01
卷期号:312 (1)
标识
DOI:10.1148/radiol.233265
摘要
Background Pre-existing emphysema is recognized as an indicator of future worsening in patients with chronic obstructive pulmonary disease (COPD) when observed through CT imaging. However, it remains uncertain whether additional factors, such as the spatial compactness of CT emphysema, might also serve as predictors of disease progression. Purpose To evaluate the relationship between the compactness of CT emphysema voxels and emphysema progression. Materials and Methods This secondary analysis uses data from the prospective Canadian Cohort Obstructive Lung Disease (CanCOLD) study, examining CT images obtained in participants with and without COPD at baseline and a 3-year follow-up time point (November 2009 to November 2018). Measurements of forced expiratory volume in first second of expiration (FEV
科研通智能强力驱动
Strongly Powered by AbleSci AI