Free-breathing Pulmonary MR Imaging to Quantify Regional Ventilation.

Capaldi, Dante P I; Eddy, Rachel L; Svenningsen, Sarah; Guo, Fumin; Baxter, John S H; McLeod, A Jonathan; Nair, Parameswaran; McCormack, David G et al. · Radiology · 2018

prospective_cohort · Level II

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Abstract

Purpose To measure regional specific ventilation with free-breathing hydrogen 1 (<sup>1</sup>H) magnetic resonance (MR) imaging without exogenous contrast material and to investigate correlations with hyperpolarized helium 3 (<sup>3</sup>He) MR imaging and pulmonary function test measurements in healthy volunteers and patients with asthma. Materials and Methods Subjects underwent free-breathing <sup>1</sup>H and static breath-hold hyperpolarized <sup>3</sup>He MR imaging as well as spirometry and plethysmography; participants were consecutively recruited between January and June 2017. Free-breathing <sup>1</sup>H MR imaging was performed with an optimized balanced steady-state free-precession sequence; images were retrospectively grouped into tidal inspiration or tidal expiration volumes with exponentially weighted phase interpolation. MR imaging volumes were coregistered by using optical flow deformable registration to generate <sup>1</sup>H MR imaging-derived specific ventilation maps. Hyperpolarized <sup>3</sup>He MR imaging- and <sup>1</sup>H MR imaging-derived specific ventilation maps were coregistered to quantify regional specific ventilation within hyperpolarized <sup>3</sup>He MR imaging ventilation masks. Differences between groups were determined with the Mann-Whitney test and relationships were determined with Spearman (ρ) correlation coefficients. Statistical analyses were performed with software. Results Thirty subjects (median age: 50 years; interquartile range [IQR]: 30 years), including 23 with asthma and seven healthy volunteers, were evaluated. Both <sup>1</sup>H MR imaging-derived specific ventilation and hyperpolarized <sup>3</sup>He MR imaging-derived ventilation percentage were significantly greater in healthy volunteers than in patients with asthma (specific ventilation: 0.14 [IQR: 0.05] vs 0.08 [IQR: 0.06], respectively, P < .0001; ventilation percentage: 99% [IQR: 1%] vs 94% [IQR: 5%], P < .0001). For all subjects, <sup>1</sup>H MR imaging-derived specific ventilation correlated with plethysmography-derived specific ventilation (ρ = 0.54, P = .002) and hyperpolarized <sup>3</sup>He MR imaging-derived ventilation percentage (ρ = 0.67, P < .0001) as well as with forced expiratory volume in 1 second (FEV<sub>1</sub>) (ρ = 0.65, P = .0001), ratio of FEV<sub>1</sub> to forced vital capacity (ρ = 0.75, P < .0001), ratio of residual volume to total lung capacity (ρ = -0.68, P < .0001), and airway resistance (ρ = -0.51, P = .004). <sup>1</sup>H MR imaging-derived specific ventilation was significantly greater in the gravitational-dependent versus nondependent lung in healthy subjects (P = .02) but not in patients with asthma (P = .1). In patients with asthma, coregistered <sup>1</sup>H MR imaging specific ventilation and hyperpolarized <sup>3</sup>He MR imaging maps showed that specific ventilation was diminished in corresponding <sup>3</sup>He MR imaging ventilation defects (0.05 ± 0.04) compared with well-ventilated regions (0.09 ± 0.05) (P < .0001). Conclusion <sup>1</sup>H MR imaging-derived specific ventilation correlated with plethysmography-derived specific ventilation and ventilation defects seen by using hyperpolarized <sup>3</sup>He MR imaging. <sup>©</sup> RSNA, 2018 Online supplemental material is available for this article.

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