# Assessment of lung parenchymal elasticity in smokers using magnetic resonance elastography and oscillometry

S Bensamoun, P Pouletaut, F Charleux, S Bayat

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S Bensamoun, P Pouletaut, F Charleux, S Bayat. Assessment of lung parenchymal elasticity in smokers using magnetic resonance elastography and oscillometry. ERS Congress, European Respiratory Society (ERS), Sep 2025, Amsterdam, Netherlands. [hal-05142949](https://hal.science/hal-05142949v1)

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https://hal.science/hal-05142949v1

Submitted on 3 Jul 2025

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## Assessment of lung parenchymal elasticity in smokers using magnetic resonance elastography and oscillometry

Smoking, Lung mechanics, Measurement properties

**S. Bensamoun**<fnref n="1" />, **P. Pouletaut**<fnref n="1" />, **F. Charleux**<fnref n="2" />, **S. Bayat**³

**Context:** Smoking progressively damages the lungs through chronic inflammation, airway remodeling, and alveolar destruction. Early detection is key to slowing or preventing irreversible decline.

**Aim:** To measure the lung parenchymal shear modulus using Magnetic Resonance Elastography (MRE) [1-2] and to compare it to the area AX of the reactance curve, measured by oscillometry in smokers.

**Methods:** Thirty smokers (mean age 52.0±8.2 years, 21 women) referred for lung CT imaging (Fig. 1A) were prospectively recruited at the radiology department (ACRIM) (#A01496-33-MS) after informed consent. MRE is based on the analysis of the shear wave velocity, which varies with the shear modulus of the tissue. MRE was performed with a 1.5 T MRI machine (GE) using a fast gradient echo sequence. Oscillometry (TremoFlo C100, Thorasys) was performed on the same day as MRE following the ATS/ERS technical recommendations.

**Results:** A personalized 2D map of shear modulus in right lung was obtained for each subject (Fig.1B). A significant Spearman correlation (ρ=0.36, P=0.050) was found between the shear modulus and AX parameter.

**Conclusion:** Preliminary results show that MRE appears as a promising method to detect regional lung parenchymal properties in subjects at risk of tobacco-induced lung diseases.

Figure 1.

<footnote n="1">¹Université de technologie de Compiègne, CNRS, BMBI, UMR7338 - Compiègne cedex (France),</footnote>

<footnote n="2">²ACRIM-Polyclinique Saint Côme, Radiologie médicale - Compiègne cedex (France), ³Université Grenoble Alpes, Inserm UA07 STROBE Laboratory - Grenoble (France)</footnote>

<footnote n="1">1. Bensamoun, S.F. et al. Magnetic Resonance Imaging 2025; 115:110269.</footnote>

<footnote n="2">2. Chakouch, M. et al. CMBBE 2023; 26:sup1:S128.</footnote>
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