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Feasibility of shutter‐speed DCE‐MRI for improved prostate cancer detection
Author(s) -
Li Xin,
Priest Ryan A.,
Woodward William J.,
Tagge Ian J.,
Siddiqui Faisal,
Huang Wei,
Rooney William D.,
Beer Tomasz M.,
Garzotto Mark G.,
Springer Charles S.
Publication year - 2013
Publication title -
magnetic resonance in medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.696
H-Index - 225
eISSN - 1522-2594
pISSN - 0740-3194
DOI - 10.1002/mrm.24211
Subject(s) - prostate cancer , shutter , prostate , dynamic contrast enhanced mri , biopsy , nuclear medicine , biomarker , population , cancer , detection limit , medicine , pathology , magnetic resonance imaging , chemistry , radiology , physics , optics , biochemistry , environmental health , chromatography
The feasibility of shutter‐speed model dynamic‐contrast‐enhanced MRI pharmacokinetic analyses for prostate cancer detection was investigated in a prebiopsy patient cohort. Differences of results from the fast‐exchange‐regime‐allowed (FXR‐a) shutter‐speed model version and the fast‐exchange‐limit‐constrained (FXL‐c) standard model are demonstrated. Although the spatial information is more limited, postdynamic‐contrast‐enhanced MRI biopsy specimens were also examined. The MRI results were correlated with the biopsy pathology findings. Of all the model parameters, region‐of‐interest‐averaged K trans difference [Δ K trans ≡ K trans (FXR‐a) − K trans (FXL‐c)] or two‐dimensional K trans (FXR‐a) vs. k ep (FXR‐a) values were found to provide the most useful biomarkers for malignant/benign prostate tissue discrimination (at 100% sensitivity for a population of 13, the specificity is 88%) and disease burden determination. (The best specificity for the fast‐exchange‐limit‐constrained analysis is 63%, with the two‐dimensional plot.) K trans and k ep are each measures of passive transcapillary contrast reagent transfer rate constants. Parameter value increases with shutter‐speed model (relative to standard model) analysis are larger in malignant foci than in normal‐appearing glandular tissue. Pathology analyses verify the shutter‐speed model (FXR‐a) promise for prostate cancer detection. Parametric mapping may further improve pharmacokinetic biomarker performance. Magn Reson Med, 2013. © 2012 Wiley Periodicals, Inc.