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Longitudinal Imaging-Based Clusters in Former Smokers of the COPD Cohort Associate with Clinical Characteristics: The SubPopulations and Intermediate Outcome Measures in COPD Study (SPIROMICS).

Chunrui ZouFrank LiJiwoong ChoiBabak HaghighiSanghun ChoiPrathish K RajaramanAlejandro P ComellasJohn D NewellChang Hyun LeeR Graham BarrEugene BleeckerChristopher B CooperDavid J CouperMeilan HanNadia N HanselRichard E KannerElla A KazerooniEric C KleerupFernando J MartinezWanda O'NealRobert PaineStephen I RennardBenjamin M SmithPrescott G WoodruffEirc A HoffmanChing-Long Lin
Published in: International journal of chronic obstructive pulmonary disease (2021)
qCT imaging-based metrics at two visits for former smokers allow for the derivation of four statistically stable clusters associated with unique progression patterns and clinical characteristics. Use of baseline variables and their progression rates enables identification of longitudinal clusters, resulting in a refinement of cross-sectional clusters.
Keyphrases
  • cross sectional
  • chronic obstructive pulmonary disease
  • high resolution
  • smoking cessation
  • lung function
  • mass spectrometry