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MRI-assessed Dynamic Hyperinflation Induced by Tachypnea in Chronic Obstructive Pulmonary Disease: The SPIROMICS-HF Study

  • Xuzhe Zhang
  • , Christopher B. Cooper
  • , Martin R. Prince
  • , Bharath Ambale-Venkatesh
  • , Prachi P. Agarwal
  • , Michael C. Backman
  • , David A. Bluemke
  • , David Couper
  • , Stephen M. Dashnaw
  • , John P. Finn
  • , Nadia N. Hansel
  • , Eric A. Hoffman
  • , Sachin Jambawalikar
  • , Dalane W. Kitzman
  • , Jerry A. Krishnan
  • , Yoo Jin Lee
  • , João A.C. Lima
  • , Jing Liu
  • , Martha G. Menchaca
  • , Jill Ohar
  • Victor E. Ortega, Robert Paine, Stephen P. Peters, Joyce D. Schroeder, Jens Vogel-Claussen, Prescott G. Woodruff, R. Graham Barr, Wei Shen

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose: To assess the repeatability of real-time cine pulmonary MRI measures of metronome-paced tachypnea (MPT)–induced dynamic hyperinflation and its relationship with chronic obstructive pulmonary disease (COPD) severity. Materials and Methods: SubPopulations and InteRmediate Outcome Measures In COPD Study (SPIROMICS) (ClinicalTrials.gov identifier no. NCT01969344) is a multicenter prospective cohort study that recruited individuals with COPD with 20 or more pack-years smoking history and controls aged 40–80 years. SPIROMICS-HF is a cross-sectional study evaluating cardiopulmonary interactions in COPD from December 2019 to April 2024. Two-dimensional coronal real-time cine pulmonary MRI (3.2 frames/sec) was performed during MPT twice. Lung masks and lung MR images from an independent study were used for transfer learning to segment real-time cine pulmonary MR images. Dynamic hyperinflation was evaluated as the increase in end-expiratory lung volume (EELV) during tidal breathing to the end of MPT. Repeatability was assessed with intraclass correlation coefficients, and multivariable associations with COPD severity were examined. Results: Of the 70 participants (mean age, 67 years ± 10 [SD]; 37 male, 33 female) included in the study, 59% had COPD. The transfer learning model achieved high accuracy in lung segmentation (Dice similarity coefficient, 0.94 ± 0.03). There was good scan-rescan agreement for EELV and dynamic hyperinflation (intraclass correlation coefficient, 0.99 and 0.87, respectively). Dynamic hyperinflation was associated with COPD severity (P trend = .01, with a mean difference between severe COPD and controls of 0.24 L). Conclusion: A transfer learning model yielded reproducible quantification of MPT-induced dynamic hyperinflation at real-time cine pulmonary MRI, with greater dynamic hyperinflation in participants with more severe COPD.

Original languageEnglish (US)
Article numbere240053
JournalRadiology: Cardiothoracic Imaging
Volume7
Issue number1
DOIs
StatePublished - Feb 2025

Keywords

  • Chronic Obstructive Pulmonary Disease
  • Lung
  • MR Imaging
  • Pulmonary
  • Technology Assessment

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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