We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Diagnosis and Grading of Prostate Cancer by Relaxation Maps From Synthetic MRI.
- Authors
Cui, Yadong; Han, Siyuan; Liu, Ming; Wu, Pu‐yeh; Zhang, Wei; Zhang, Jintao; Li, Chunmei; Chen, Min; Wu, Pu-Yeh
- Abstract
<bold>Background: </bold>The interpretation system for prostate MRI is largely based on qualitative image contrast of different tissue types. Therefore, a fast, standardized, and robust quantitative technique is necessary. Synthetic MRI is capable of quantifying multiple relaxation parameters, which might have potential applications in prostate cancer (PCa).<bold>Purpose: </bold>To investigate the use of quantitative relaxation maps derived from synthetic MRI for the diagnosis and grading of PCa.<bold>Study Type: </bold>Prospective.<bold>Subjects: </bold>In all, 94 men with pathologically confirmed PCa or benign pathological changes.<bold>Field Strength/sequence: </bold>T1 -weighted imaging, T2 -weighted imaging, diffusion-weighted imaging, and synthetic MRI at 3.0T.<bold>Assessment: </bold>Four kinds of tissue types were identified on pathology, including PCa, stromal hyperplasia (SH), glandular hyperplasia (GH), and noncancerous peripheral zone (PZ). PCa foci were grouped as low-grade (LG, Gleason score ≤6) and intermediate/high-grade (HG, Gleason score ≥7). Regions of interest were manually drawn by two radiologists in consensus on parametric maps according to the pathological results.<bold>Statistical Tests: </bold>Independent sample t-test, Mann-Whitney U-test, and receiver operating characteristic curve analysis.<bold>Results: </bold>T1 and T2 values of PCa were significantly lower than SH (P = 0.015 and 0.002). The differences of T1 and T2 values between PCa and noncancerous PZ were also significant (P ≤ 0.006). The area under the curve (AUC) of the apparent diffusion coefficient (ADC) value was significantly higher than T1 , T2 , and proton density (PD) values in discriminating PCa from SH and noncancerous PZ (P ≤ 0.025). T2 , PD, and ADC values demonstrated similar diagnostic performance in discriminating LG from HG PCa (AUC = 0.806 [0.640-0.918], 0.717 [0.542-0.854], and 0.817 [0.652-0.925], respectively; P ≥ 0.535).<bold>Data Conclusion: </bold>Relaxation maps derived from synthetic MRI were helpful for discriminating PCa from other benign pathologies. But the overall diagnostic performance was inferior to the ADC values. T2 , PD, and ADC values performed similarly in discriminating LG from HG PCa lesions.<bold>Level Of Evidence: </bold>2 Technical Efficacy Stage: 2 J. Magn. Reson. Imaging 2020;52:552-564.
- Subjects
CANCER diagnosis; RECEIVER operating characteristic curves; GLEASON grading system; DIFFUSION magnetic resonance imaging; DIFFUSION coefficients; RESEARCH; RESEARCH methodology; RETROSPECTIVE studies; MAGNETIC resonance imaging; MEDICAL cooperation; EVALUATION research; COMPARATIVE studies; RESEARCH funding; PROSTATE tumors; LONGITUDINAL method; TUMOR grading
- Publication
Journal of Magnetic Resonance Imaging, 2020, Vol 52, Issue 2, p552
- ISSN
1053-1807
- Publication type
journal article
- DOI
10.1002/jmri.27075