Characterization of acinar airspace involvement in asthmatic patients by using inert gas washout and hyperpolarized 3helium magnetic resonance Sherif.

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Characterization of acinar airspace involvement in asthmatic patients by using inert gas washout and hyperpolarized 3helium magnetic resonance Sherif.

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Presentation transcript:

Characterization of acinar airspace involvement in asthmatic patients by using inert gas washout and hyperpolarized 3helium magnetic resonance Sherif Gonem, PhD, Steven Hardy, MPhys, Niels Buhl, PhD, Ruth Hartley, MB, ChB, Marcia Soares, BSc, Richard Kay, PhD, Rino Costanza, PhD, Per Gustafsson, PhD, Christopher E. Brightling, PhD, John Owers-Bradley, PhD, Salman Siddiqui, PhD Journal of Allergy and Clinical Immunology Volume 137, Issue 2, Pages 417-425 (February 2016) DOI: 10.1016/j.jaci.2015.06.027 Copyright © 2015 Terms and Conditions

Fig 1 Schematic diagram of length scales probed by helium ADCs. The dotted line represents maximal anatomic sensitivity of SF6 phase III slopes.17 Journal of Allergy and Clinical Immunology 2016 137, 417-425DOI: (10.1016/j.jaci.2015.06.027) Copyright © 2015 Terms and Conditions

Fig 2 Quantitative CT densitometry between asthma groups. A and B, Quantitative assessment of expiratory air trapping in patients with low and high levels of air trapping, respectively. Colored spheres represent lung areas greater than 1 mL in volume with an attenuation on expiratory scans of less than −856 Hounsfield units (HU). C and D, MLD E/I and P15, respectively, in asthmatic patients. Error bars indicate means ± SEMs. Journal of Allergy and Clinical Immunology 2016 137, 417-425DOI: (10.1016/j.jaci.2015.06.027) Copyright © 2015 Terms and Conditions

Fig 3 ADCs across groups. ADCs at 13 ms (A) and 1 second (B) are shown across healthy and asthmatic groups. Error bars indicate means ± SEMs. Journal of Allergy and Clinical Immunology 2016 137, 417-425DOI: (10.1016/j.jaci.2015.06.027) Copyright © 2015 Terms and Conditions

Fig 4 Correlations between 3He-MR, CT, and physiologic variables in asthmatic patients. Correlations are shown between ADCs and Sacin (A and B), FRC percent predicted (C and D), and MLD E/I (E and F). Best-fit linear regression lines and Pearson correlation coefficients are shown. Journal of Allergy and Clinical Immunology 2016 137, 417-425DOI: (10.1016/j.jaci.2015.06.027) Copyright © 2015 Terms and Conditions

Fig 5 Change in ADCs (percentage) against change in volume of gas in the lungs (percentage) in healthy subjects and asthmatic patients. Correlations are shown between percentage change in ADC and percentage change in volume of gas in the lungs in 3 healthy subjects (A) and 3 asthmatic patients (B). The 3 participants in each case are denoted with different symbols. ADCFRC, ADC at FRC (extrapolated); ADCV, ADC at lung volume V; V, volume of gas in lungs; VFRC, volume of gas in lungs at FRC. Journal of Allergy and Clinical Immunology 2016 137, 417-425DOI: (10.1016/j.jaci.2015.06.027) Copyright © 2015 Terms and Conditions