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Abstract #4099

Histogram analysis of apparent diffusion coefficient in differentiating pancreatic adenocarcinoma and neuroendocrine tumor

YOSHIHIKO FUKUKURA 1 , Toshikazu Shindo 1 , Tomokazu Umanodan 1 , Tomoyuki Okuaki 2 , Koji Takumi 1 , Aya Umanodan 1 , Junichi Ideue 1 , Hiroto Hakamada 1 , Kiyohisa Kamimura 1 , Masanori Nakajo 1 , and Takashi Yoshiura 1

1 Kagoshima University Graduate School of Medical and Dental Sciences, Kagoshima, Kagoshima, Japan, 2 Philips Healthcare, Tokyo, Japan

This study focused on the potential of apparent diffusion coefficient (ADC) histogram analysis on DWI to differentiate pancreatic adenocarcinoma from neuroendocrine tumor. Adenocarcinomas and neuroendocrine tumors were not significantly different in mean, skewness, or 25th, 50th, or 75th percentiles of ADC values calculated at any b-value combination derived from b-values of 0 and 200 s/mm2, 0 and 400 s/mm2, or 0 and 800 s/mm2. Variance, CV, and kurtosis of the ADC values were significantly higher in adenocarcinomas than in neuroendocrine tumors at all b-value combinations. Histogram analysis of ADC maps could be helpful in differentiating pancreatic adenocarcinomas from neuroendocrine tumors.

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