MR measurement of luminal water in prostate gland: Quantitative correlation between MRI and histology
- 27 January 2017
- journal article
- research article
- Published by Wiley in Journal of Magnetic Resonance Imaging
- Vol. 46 (3), 861-869
- https://doi.org/10.1002/jmri.25624
Abstract
Purpose To determine the relationship between parameters measured from luminal water imaging (LWI), a new magnetic resonance imaging (MRI) T2 mapping technique, and the corresponding tissue composition in prostate. Materials and Methods In all, 17 patients with prostate cancer were examined with a 3D multiecho spin echo sequence at 3T prior to undergoing radical prostatectomy. Maps of seven MR parameters, called N, T2‐short, T2‐long, Ashort, Along, geometric mean T2 time (gmT2), and luminal water fraction (LWF), were generated using nonnegative least squares (NNLS) analysis of the T2 decay curves. MR parametric maps were correlated to digitized whole‐mount histology sections. Percentage area of tissue components, including luminal space, nuclei, and cytoplasm plus stroma, was measured on the histology sections by using color‐based image segmentation. Spearman's rank correlation test was used to evaluate the correlation between MR parameters and the corresponding tissue components, with particular attention paid to the correlation between LWF and percentage area of luminal space. Results N, T2‐short, Along, gmT2, and LWF showed significant correlation (P < 0.05) with percentage area of luminal space and stroma plus cytoplasm. T2‐short and gmT2 also showed significant correlation (P < 0.05) with percentage area of nuclei. Overall, the strongest correlation was observed between LWF and luminal space (Spearman's coefficient of rank correlation = 0.75, P < 0.001). Conclusion Results of this study show that LWF measured with MRI is strongly correlated with the fractional amount of luminal space in prostatic tissue. This result suggests that LWI can potentially be applied for evaluation of prostatic diseases in which the extent of luminal space differs between normal and abnormal tissues. Level of Evidence: 1 Technical Efficacy: Stage 1 J. MAGN. RESON. IMAGING 2017;46:861–869Keywords
Funding Information
- Canadian Institutes of Health Research (MOP-115052)
This publication has 22 references indexed in Scilit:
- Tissue Shrinkage and Stereological StudiesCold Spring Harbor Protocols, 2013
- AnalyzeNNLS: Magnetic resonance multiexponential decay image analysisJournal of Magnetic Resonance, 2010
- Device for sectioning prostatectomy specimens to facilitate comparison between histology and in vivo MRIJournal of Magnetic Resonance Imaging, 2010
- Multicomponent T2* mapping of knee cartilage: Technical feasibility ex vivoMagnetic Resonance in Medicine, 2010
- Three‐dimensional balanced steady state free precession imaging of the prostate: Flip angle dependency of the signal based on a two component T2‐decay modelJournal of Magnetic Resonance Imaging, 2010
- Complementary information from multi-exponential T2 relaxation and diffusion tensor imaging reveals differences between multiple sclerosis lesionsNeuroImage, 2008
- High‐resolution myelin water measurements in rat spinal cordMagnetic Resonance in Medicine, 2008
- MRI relaxometry: methods and applicationsBrazilian Journal of Physics, 2006
- Gleason grading and prognostic factors in carcinoma of the prostateLaboratory Investigation, 2004
- In vivo visualization of myelin water in brain by magnetic resonanceMagnetic Resonance in Medicine, 1994