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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