Feasibility of dynamic chest radiography to calculate lung volumes in adult people with cystic fibrosis: a pilot study

BMJ Open Respir Res. 2023 May;10(1):e001309. doi: 10.1136/bmjresp-2022-001309.

Abstract

Introduction: Dynamic chest radiography (DCR) is a novel, low-dose, real-time digital imaging system where software identifies moving thoracic structures and can automatically calculate lung areas. In an observational, prospective, non-controlled, single-centre pilot study, we compared it with whole-body plethysmography (WBP) in the measurement of lung volume subdivisions in people with cystic fibrosis (pwCF).

Methods: Lung volume subdivisions were estimated by DCR using projected lung area (PLA) during deep inspiration, tidal breathing and full expiration, and compared with same-day WBP in 20 adult pwCF attending routine review. Linear regression models to predict lung volumes from PLA were developed.

Results: Total lung area (PLA at maximum inspiration) correlated with total lung capacity (TLC) (r=0.78, p<0.001), functional residual lung area with functional residual capacity (FRC) (r=0.91, p<0.001), residual lung area with residual volume (RV) (r=0.82, p=0.001) and inspiratory lung area with inspiratory capacity (r=0.72, p=0.001). Despite the small sample size, accurate models were developed for predicting TLC, RV and FRC.

Conclusion: DCR is a promising new technology that can be used to estimate lung volume subdivisions. Plausible correlations between plethysmographic lung volumes and DCR lung areas were identified. Further studies are needed to build on this exploratory work in both pwCF and individuals without CF.

Trial registration number: ISRCTN64994816.

Keywords: Cystic Fibrosis; Imaging/CT MRI etc; Lung Physiology; Respiratory Measurement.

Publication types

  • Observational Study

MeSH terms

  • Adult
  • Cystic Fibrosis* / diagnostic imaging
  • Feasibility Studies
  • Humans
  • Lung Volume Measurements / methods
  • Pilot Projects
  • Polyesters
  • Prospective Studies
  • Radiography

Substances

  • Polyesters

Associated data

  • ISRCTN/ISRCTN64994816