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Intravoxel Incoherent Motion MR Imaging for Prostate Cancer: an Evaluation of Perfusion Fraction and Diffusion Coefficient Derived from Different B-value Combinations

Overview
Journal Magn Reson Med
Publisher Wiley
Specialty Radiology
Date 2012 Apr 11
PMID 22488794
Citations 85
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Abstract

There has been a resurgent interest in intravoxel incoherent motion (IVIM) MR imaging to obtain perfusion as well as diffusion information on lesions, in which the diffusion was modeled as Gaussian diffusion. However, it was observed that this diffusion deviated from expected monoexponential decay at high b-values and the reported perfusion in prostate is contrary to the findings in dynamic contrast-enhanced (DCE) MRI studies and angiogenesis. Thus, this work is to evaluate the effect of different b-values on IVIM perfusion fractions (f) and diffusion coefficients (D) for prostate cancer detection. The results show that both parameters depended heavily on the b-values, and those derived without the highest b-value correlated best with the results from DCE-MRI studies; specifically, f was significantly elevated (7.2% vs. 3.7%) in tumors when compared with normal tissues, in accordance with the volume transfer constant (K(trans); 0.39 vs. 0.18 min(-1)) and plasma fractional volume (v(p) ; 8.4% vs. 3.4%). In conclusion, it is critical to choose an appropriate range of b-values in studies or include the non-Gaussian diffusion contribution to obtain unbiased IVIM measurements. These measurements could eliminate the need for DCE-MRI, which is especially relevant in patients who cannot receive intravenous gadolinium-based contrast media.

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References
1.
Itou Y, Nakanishi K, Narumi Y, Nishizawa Y, Tsukuma H . Clinical utility of apparent diffusion coefficient (ADC) values in patients with prostate cancer: can ADC values contribute to assess the aggressiveness of prostate cancer?. J Magn Reson Imaging. 2010; 33(1):167-72. DOI: 10.1002/jmri.22317. View

2.
Padhani A, Liu G, Koh D, Chenevert T, Thoeny H, Takahara T . Diffusion-weighted magnetic resonance imaging as a cancer biomarker: consensus and recommendations. Neoplasia. 2009; 11(2):102-25. PMC: 2631136. DOI: 10.1593/neo.81328. View

3.
Pinto P, Chung P, Rastinehad A, Baccala Jr A, Kruecker J, Benjamin C . Magnetic resonance imaging/ultrasound fusion guided prostate biopsy improves cancer detection following transrectal ultrasound biopsy and correlates with multiparametric magnetic resonance imaging. J Urol. 2011; 186(4):1281-5. PMC: 3193933. DOI: 10.1016/j.juro.2011.05.078. View

4.
Xu J, Humphrey P, Kibel A, Snyder A, Narra V, Ackerman J . Magnetic resonance diffusion characteristics of histologically defined prostate cancer in humans. Magn Reson Med. 2009; 61(4):842-50. PMC: 3080096. DOI: 10.1002/mrm.21896. View

5.
Vargas H, Akin O, Franiel T, Mazaheri Y, Zheng J, Moskowitz C . Diffusion-weighted endorectal MR imaging at 3 T for prostate cancer: tumor detection and assessment of aggressiveness. Radiology. 2011; 259(3):775-84. PMC: 3099046. DOI: 10.1148/radiol.11102066. View