TY - JOUR

T1 - Diffusion-weighted imaging of prostate cancer using a statistical model based on the gamma distribution

AU - Shinmoto, Hiroshi

AU - Oshio, Koichi

AU - Tamura, Chiharu

AU - Soga, Shigeyoshi

AU - Okamura, Teppei

AU - Yamada, Kentaro

AU - Kaji, Tastumi

AU - Mulkern, Robert V.

PY - 2015/7/1

Y1 - 2015/7/1

N2 - Purpose To assess the adequacy of a statistical model based on the gamma distribution for diffusion signal decays of prostate cancer (PCa) using b-values ranging up to 2000 sec/mm2, and to evaluate the differences in gamma model parameters for PCa, benign prostatic hyperplasia (BPH), and peripheral zone (PZ). Materials and Methods Twenty-six patients with histologically proven PCa underwent diffusion-weighted magnetic resonance imaging using five b-values (0, 500, 1000, 1500, 2000 sec/mm2). The acquired signal decay curves were fit with both gamma and truncated Gaussian models and a statistical comparison between the two fits was performed. The acquired parameters using the gamma model (mean, standard deviation, the area fraction for D<1.0 mm2/s [Frac<1.0], the area fraction of D>3.0 mm2/s [Frac>3.0]) were compared between PCa, BPH, and PZ. Results The gamma model provided a statistically improved fit over the truncated Gaussian model in PCa. The mean and the standard deviation were significantly lower in PCa than in BPH and PZ (P<0.01). Frac<1.0 was significantly higher in PCa than in BPH and PZ, and Frac>3.0 was significantly lower in PCa than in BPH and PZ (P<0.01). Conclusion A statistical model based on the gamma distribution proved suitable for describing diffusion signal decay curves of PCa. This approach may provide better correlation between diffusion signal decay and histological information in the prostate gland.

AB - Purpose To assess the adequacy of a statistical model based on the gamma distribution for diffusion signal decays of prostate cancer (PCa) using b-values ranging up to 2000 sec/mm2, and to evaluate the differences in gamma model parameters for PCa, benign prostatic hyperplasia (BPH), and peripheral zone (PZ). Materials and Methods Twenty-six patients with histologically proven PCa underwent diffusion-weighted magnetic resonance imaging using five b-values (0, 500, 1000, 1500, 2000 sec/mm2). The acquired signal decay curves were fit with both gamma and truncated Gaussian models and a statistical comparison between the two fits was performed. The acquired parameters using the gamma model (mean, standard deviation, the area fraction for D<1.0 mm2/s [Frac<1.0], the area fraction of D>3.0 mm2/s [Frac>3.0]) were compared between PCa, BPH, and PZ. Results The gamma model provided a statistically improved fit over the truncated Gaussian model in PCa. The mean and the standard deviation were significantly lower in PCa than in BPH and PZ (P<0.01). Frac<1.0 was significantly higher in PCa than in BPH and PZ, and Frac>3.0 was significantly lower in PCa than in BPH and PZ (P<0.01). Conclusion A statistical model based on the gamma distribution proved suitable for describing diffusion signal decay curves of PCa. This approach may provide better correlation between diffusion signal decay and histological information in the prostate gland.

KW - diffusion-weighted imaging

KW - magnetic resonance imaging

KW - non-Gaussian diffusion

KW - prostate neoplasms

KW - statistical model

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U2 - 10.1002/jmri.24761

DO - 10.1002/jmri.24761

M3 - Article

C2 - 25223894

AN - SCOPUS:84931955283

VL - 42

SP - 56

EP - 62

JO - Journal of Magnetic Resonance Imaging

JF - Journal of Magnetic Resonance Imaging

SN - 1053-1807

IS - 1

ER -