Free-breathing Pulmonary 1H and Hyperpolarized 3He MRI

Capaldi, Dante P. I.; Sheikh, Khadija; Guo, Fumin; Svenningsen, Sarah; Etemad-Rezai, Roya; Coxson, Harvey O.; Leipsic, Jonathon; McCormack, David G.; Párraga, Grace

doi:10.1016/j.acra.2014.10.003

Cited by 50 publications

(66 citation statements)

References 41 publications

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“…In previous studies, Bauman et al validated FD-MRI in a porcine model: ventilation-weighted as well as perfusion-weighted FD images were shown to be in agreement with SPECT/CT 21 using visual scores and hyperpolarized 3 He MRI both qualitatively and semiquantitatively. 24 However, there was a strong bias towards higher VDP measurements on the hyperpolarized 3 He-MRI (mean value 24%) compared to the FD-MRI (mean value 7%), while in the present study the median FV values of the FD method (0.13) and the 19 F method (0.10) were similar, with only a small bias towards higher FV values of the FD method. 22,23 Capaldi et al compared ventilation defect percentages (VDP) assessed by FD-MRI with VDP derived from pulmonary hyperpolarized 3 He MRI in 12 COPD patients and reported that VDP strongly correlated globally and spatially with VDP derived from hyperpolarized 3 He-MRI and CT measurements of emphysema.…”

Section: Discussioncontrasting

confidence: 61%

Comparison of quantitative regional ventilation‐weighted fourier decomposition MRI with dynamic fluorinated gas washout MRI and lung function testing in COPD patients

Kaireit

Gutberlet

Voskrebenzev

et al. 2017

Magnetic Resonance Imaging

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Section: Discussioncontrasting

confidence: 61%

Comparison of quantitative regional ventilation‐weighted fourier decomposition MRI with dynamic fluorinated gas washout MRI and lung function testing in COPD patients

Kaireit

Gutberlet

Voskrebenzev

et al. 2017

Magnetic Resonance Imaging

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“…While gas MRI techniques (such as hyperpolarized 129 Xe or 19 F) directly depict the gas distribution typically during breath‐hold, FD MRI uses regional lung motion during normal tidal breathing to calculate regional ventilation. Also, several studies show promising data derived from FD for diseases such as asthma, chronic obstructive pulmonary disease, cystic fibrosis or chronic thromboembolic pulmonary hypertension, which positions FD as a valuable candidate for clinical translation in the near future …”

Section: Introductionmentioning

confidence: 99%

Free‐breathing quantification of regional ventilation derived by phase‐resolved functional lung (PREFUL) MRI

et al. 2019

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Purpose To test the feasibility of regional fully quantitative ventilation measurement in free breathing derived by phase‐resolved functional lung (PREFUL) MRI in the supine and prone positions. In addition, the influence of T2* relaxation time on ventilation quantification is assessed. Methods Twelve healthy volunteers underwent functional MRI at 1.5 T using a 2D triple‐echo spoiled gradient echo sequence allowing for quantitative measurement of T2* relaxation time. Minute ventilation (ΔV) was quantified by conventional fractional ventilation (FV) and the newly introduced regional ventilation (VR), which corrects volume errors due to image registration. ΔVFV versus ΔVVR and ΔVVR versus ΔVVR with T2* correction were compared using Bland–Altman plots and correlation analysis. The repeatability and physiological plausibility of all measurements were tested in the supine and prone positions. Results On global and regional scales a strong correlation was observed between ΔVFV versus ΔVVR and ΔVVR versus ΔVVRT2* (r > 0.93); however, regional Bland–Altman analysis showed systematic differences (p < 0.0001). Unlike ΔVVRT2*, ΔVVR and ΔVFV showed expected physiologic anterior–posterior gradients, which decreased in the supine but not in the prone position at second measurement during 3 min in the same position. For all quantification methods a moderate repeatability (coefficient of variation <20%) of ventilation was found. Conclusion A fully quantified regional ventilation measurement using ΔVVR in free breathing is feasible and shows physiologically plausible results. In contrast to conventional ΔVFV, volume errors due to image registration are eliminated with the ΔVVR approach. However, correction for the T2* effect remains challenging.

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“…for three COPD patients) and perfusion maps can be generated to evaluate ventilation/perfusion mismatch in COPD patients. As shown in Figure , regions of signal void represent ‘ventilation defects’ that spatially correlated with inhaled gas MRI ventilation defects and bullae . Clearly, the time constants for filling and emptying the lung may explain the lack of ventilation in some regions of the lung.…”

Section: Magnetic Resonance Imagingmentioning

confidence: 96%

This is what COPD looks like

2015

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Despite decades of research, and the growing healthcare and societal burden of chronic obstructive pulmonary disease (COPD), therapeutic COPD breakthroughs have not occurred. Sub-optimal COPD patient phenotyping, an incomplete understanding of COPD pathogenesis and a scarcity of sensitive tools that provide patient-relevant intermediate endpoints likely all play a role in the lack of new, efficacious COPD interventions. In other words, COPD patients are still diagnosed based on the presence of persistent airflow limitation measured using spirometry. Spirometry measurements reflect the global sum of all the different possible COPD pathologies and perhaps because of this, we lose sight of the different contributions of airway and parenchymal abnormalities. With recent advances in thoracic X-ray computed tomography (CT) and magnetic resonance imaging (MRI), lung structure and function abnormalities may be regionally identified and measured.These imaging endpoints may serve as biomarkers of COPD that can be used to better phenotype patients. Therefore, here we review novel CT and MRI measurements that help reveal COPD phenotypes and what COPD really 'looks' like, beyond spirometric indices. We discuss MR and CT imaging approaches for generating reproducible and sensitive measurements of COPD phenotypes related to pulmonary ventilation and perfusion as well as airway and parenchyma anatomical and morphological features. These measurements may provide a way to advance the development and testing of new COPD interventions and therapies.

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Free-breathing Pulmonary 1H and Hyperpolarized 3He MRI

Cited by 50 publications

References 41 publications

Comparison of quantitative regional ventilation‐weighted fourier decomposition MRI with dynamic fluorinated gas washout MRI and lung function testing in COPD patients

Comparison of quantitative regional ventilation‐weighted fourier decomposition MRI with dynamic fluorinated gas washout MRI and lung function testing in COPD patients

Free‐breathing quantification of regional ventilation derived by phase‐resolved functional lung (PREFUL) MRI

This is what COPD looks like

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