The Use of Computed Tomography Densitometry for the Assessment of Emphysema in Clinical Trials: A Position Paper from the Fleischner Society

医学 密度测定 职位(财务) 核医学 临床试验 放射科 肺气肿 内科学 财务 经济
作者
Raúl San Jośe Estépar,R. Graham Barr,Sean B. Fain,Philippe Greniér,Eric A. Hoffman,Stephen M. Humphries,Miranda Kirby,Nancy A. Obuchowski,Christopher J. Ryerson,Joon Beom Seo,Ruth Tal‐Singer,Samuel Y. Ash,Alexander A. Bankier,James D. Crapo,Meilan Han,Liz Kellermeyer,Jonathan Goldin,Cynthia H. McCollough,John D. Newell,Bruce E. Miller
出处
期刊:American Journal of Respiratory and Critical Care Medicine [American Thoracic Society]
卷期号:211 (5): 709-728 被引量:13
标识
DOI:10.1164/rccm.202410-2012so
摘要

Emphysema's significant morbidity and mortality underscore the need for reliable outcome metrics in clinical trials. However, commonly accepted chronic obstructive pulmonary disease outcome measures do not adequately capture emphysema severity or progression. Computed tomography (CT) metrics have been validated as accurate indicators of pathological emphysema and predictors of chronic obstructive pulmonary disease progression, exacerbations, and mortality. This position paper reviews the evidence supporting CT densitometry as a biomarker for emphysema, establishes implementation standards, and highlights areas for future research. A systematic literature review addressed three key questions: whether CT densitometry can be used as a diagnostic biomarker of emphysema, whether CT densitometry can be used as a prognostic biomarker, and whether longitudinal change in densitometry can be used as a disease progression monitoring biomarker. Emphysema metrics, such as the percentage of low attenuation areas below -950 Hounsfield units, are validated, highly reproducible diagnostic and prognostic biomarkers. Volume-adjusted lung density is recommended for disease monitoring. Both metrics demonstrate a scan-rescan intraclass correlation coefficient of 0.99 with proper technique. The paper also discusses relevant CT physics, techniques, and sources of variation, including technical factors, physiological changes, and software analysis. Key recommendations for clinical trials include using standardized CT techniques, proper subject selection, and longitudinal evaluation with volume-adjusted lung density.
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