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Performance of Ultrafast DCE-MRI for Diagnosis of Prostate Cancer

Authors :
Federico Pineda
Ambereen Yousuf
Xiaobing Fan
Aritrick Chatterjee
Teodora Szasz
Melvy Mathew
Tatjana Antic
Dianning He
Aytekin Oto
Gregory S. Karczmar
Shiyang Wang
Source :
Academic Radiology. 25:349-358
Publication Year :
2018
Publisher :
Elsevier BV, 2018.

Abstract

RATIONALE AND OBJECTIVES: This study aimed to test high temporal resolution dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) for different zones of the prostate and evaluate its performance in the diagnosis of prostate cancer (PCa). Determine whether the addition of ultrafast DCE-MRI improves the performance of multiparametric MRI. MATERIALS AND METHODS: Patients (n = 20) with pathologically confirmed PCa underwent preoperative 3T MRI with T2-weighted, diffusion-weighted, and high temporal resolution (~2.2 seconds) DCE-MRI using gadoterate meglumine (Guerbet, Bloomington, IN) without an endorectal coil. DCE-MRI data were analyzed by fitting signal intensity with an empirical mathematical model to obtain parameters: percent signal enhancement, enhancement rate (α), washout rate (β), initial enhancement slope, and enhancement start time along with apparent diffusion coefficient (ADC) and T2 values. Regions of interests were placed on sites of prostatectomy verified malignancy (n = 46) and normal tissue (n = 71) from different zones. RESULTS: Cancer (α = 6.45 ± 4.71 s(−1), β = 0.067 ± 0.042 s(−1), slope = 3.78 ± 1.90 s(−1)) showed significantly (P < .05) faster signal enhancement and washout rates than normal tissue (α = 3.0 ± 2.1 s(−1), β = 0.034 ± 0.050 s(−1), slope = 1.9 ± 1.4 s(−1)), but showed similar percentage signal enhancement and enhancement start time. Receiver operating characteristic analysis showed area under the curve for DCE parameters was comparable to ADC and T2 in the peripheral (DCE 0.67–0.82, ADC 0.80, T2 0.89) and transition zones (DCE 0.61–0.72, ADC 0.69, T2 0.75), but higher in the central zone (DCE 0.79–0.88, ADC 0.45, T2 0.45) and anterior fibromuscular stroma (DCE 0.86–0.89, ADC 0.35, T2 0.12). Importantly, combining DCE with ADC and T2 increased area under the curve by ~30%, further improving the diagnostic accuracy of PCa detection. CONCLUSION: Quantitative parameters from empirical mathematical model fits to ultrafast DCE-MRI improve diagnosis of PCa. DCE-MRI with higher temporal resolution may capture clinically useful information for PCa diagnosis that would be missed by low temporal resolution DCE-MRI. This new information could improve the performance of multiparametric MRI in PCa detection.

Details

ISSN :
10766332
Volume :
25
Database :
OpenAIRE
Journal :
Academic Radiology
Accession number :
edsair.doi.dedup.....e68eed82822785b90ed3f033ff5d5104
Full Text :
https://doi.org/10.1016/j.acra.2017.10.004