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Prostate T 1 quantification using a magnetization‐prepared spiral technique
Author(s) -
Foltz Warren D.,
Haider Masoom A.,
Chung Peter,
Bayley Andrew,
Catton Charles,
Ramanan Venkat,
Jaffray David,
Wright Graham A.,
Ménard Cynthia
Publication year - 2011
Publication title -
journal of magnetic resonance imaging
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.563
H-Index - 160
eISSN - 1522-2586
pISSN - 1053-1807
DOI - 10.1002/jmri.22450
Subject(s) - voxel , multislice , spiral (railway) , nuclear medicine , magnetic resonance imaging , nuclear magnetic resonance , contrast (vision) , prostate cancer , medicine , materials science , physics , radiology , mathematics , optics , cancer , mathematical analysis
Purpose To adapt a magnetization‐prepared spiral imaging technique, termed T1prep, for time‐efficient radiofrequency (RF)‐insensitive prostate T 1 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 T 1 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. Results The multislice design displayed excellent RF insensitivity (<1% error for RF mistunings to ± 20%) and accuracy (within 3% of gold standard for T 1 values between 140 and 2100 msec). A clinical pilot study reported significantly reduced T 1 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. Conclusion T1prep can quantify prostate T 1 as an adjunct measure for quantitative perfusion measurements and longitudinal treatment response monitoring. Intrapatient heterogeneities support T 1 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.