INTRODUCTION: Dynamic magnetic resonance imaging (MRI) has the potential for rapid noninvasive evaluation of changes in lung volume. The aim of this study was to perform rapid lung volumetry using ultrafast dynamic MRI to capture a forced vital capacity (FVC) maneuver. MATERIALS AND METHODS: Nine healthy volunteers underwent 2-dimensional spoiled gradient echo imaging in coronal and sagittal planes during FVC maneuvers. An elliptical model of the axial cross section of the lungs was used to generate rapid volume-time curves. Spirometric indices were correlated with MR volumetry findings. RESULTS: Total lung volume calculated from static MRI correlated well with the dynamic MR scans (r = 0.83; P < 0.01). Spirometric indices (first second of forced expiration and FVC) calculated from our MR volumetry technique correlated well with conventional spirometry (P < 0.01). CONCLUSION: The technique provides a means of sampling lung volume change during the rapid subsecond movements that take place during a FVC maneuver.
INTRODUCTION: Dynamic magnetic resonance imaging (MRI) has the potential for rapid noninvasive evaluation of changes in lung volume. The aim of this study was to perform rapid lung volumetry using ultrafast dynamic MRI to capture a forced vital capacity (FVC) maneuver. MATERIALS AND METHODS: Nine healthy volunteers underwent 2-dimensional spoiled gradient echo imaging in coronal and sagittal planes during FVC maneuvers. An elliptical model of the axial cross section of the lungs was used to generate rapid volume-time curves. Spirometric indices were correlated with MR volumetry findings. RESULTS: Total lung volume calculated from static MRI correlated well with the dynamic MR scans (r = 0.83; P < 0.01). Spirometric indices (first second of forced expiration and FVC) calculated from our MR volumetry technique correlated well with conventional spirometry (P < 0.01). CONCLUSION: The technique provides a means of sampling lung volume change during the rapid subsecond movements that take place during a FVC maneuver.
Authors: Francesca Pennati; James D Quirk; Dmitriy A Yablonskiy; Mario Castro; Andrea Aliverti; Jason C Woods Journal: Radiology Date: 2014-06-15 Impact factor: 11.105
Authors: J M Wild; H Marshall; M Bock; L R Schad; P M Jakob; M Puderbach; F Molinari; E J R Van Beek; J Biederer Journal: Insights Imaging Date: 2012-06-13