Prostate T1 quantification using a magnetization-prepared spiral technique
Article first published online: 27 JAN 2011
Copyright © 2011 Wiley-Liss, Inc.
Journal of Magnetic Resonance Imaging
Volume 33, Issue 2, pages 474–481, February 2011
How to Cite
Foltz, W. D., Haider, M. A., Chung, P., Bayley, A., Catton, C., Ramanan, V., Jaffray, D., Wright, G. A. and Ménard, C. (2011), Prostate T1 quantification using a magnetization-prepared spiral technique. J. Magn. Reson. Imaging, 33: 474–481. doi: 10.1002/jmri.22450
- Issue published online: 27 JAN 2011
- Article first published online: 27 JAN 2011
- Manuscript Accepted: 10 NOV 2010
- Manuscript Received: 6 AUG 2010
- T1 quantification;
- prostate gland;
- quantitative MRI
To adapt a magnetization-prepared spiral imaging technique, termed T1prep, for time-efficient radiofrequency (RF)-insensitive prostate T1 quantification at 1.5 T and evaluate signal-to-noise ratio (SNR) limits to voxel-based versus subregion analysis.
Materials and Methods
A magnetization-prepared spiral imaging technique was adapted for robust T1 contrast development, multislice imaging within 5 minutes, and data regression to a monoexponential decay. In vitro testing evaluated RF insensitivity of the multislice acquisition plus method accuracy. A pilot study was performed in 15 patients with low or intermediate risk localized prostate cancer.
The multislice design displayed excellent RF insensitivity (<1% error for RF mistunings to ± 20%) and accuracy (within 3% of gold standard for T1 values between 140 and 2100 msec). A clinical pilot study reported significantly reduced T1 from PZ to CG to tumor subregions (PZ: 1421 ± 168 msec, n = 11; CG: 1314 ± 49 msec, n = 13; 1246 ± 68 msec, n = 8). SNR measurements identified an inappropriateness of voxel-based analysis.
T1prep can quantify prostate T1 as an adjunct measure for quantitative perfusion measurements and longitudinal treatment response monitoring. Intrapatient heterogeneities support T1 assessment within individual patients. SNR calculations will support a transition to voxel-based analysis in future trials. J. Magn. Reson. Imaging 2011. © 2011 Wiley-Liss, Inc.