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Abstract #0372

Prediction of Overall Survival in Patients with Pancreatic Cancer: Texture Analysis of ADC Value and Correlation with Intratumoral Necrosis

Yoshifumi Noda1, Nobuyuki Kawai1, Hiroyuki Tomita2, Takuma Ishihara3, Yoshiki Tsuboi3, Masaya Kawaguchi1, Tetsuro Kaga1, Fuminori Hyodo4, Akira Hara2, and Masayuki Matsuo1
1Department of Radiology, Gifu University, Gifu, Japan, 2Department of Tumor Pathology, Gifu University, Gifu, Japan, 3Innovative and Clinical Research Promotion Center, Gifu University Hospital, Gifu, Japan, 4Department of Frontier Science for imaging, Gifu University, Gifu, Japan

The use of texture analysis in clinical images can provide surrogate information on tumor microenvironment and predict the prognosis of patients. In this study, we evaluate the utility of texture analysis of tumor ADC values to predict the overall survival in patients with pancreatic cancer and to correlate with pathological evaluated massive intratumoral necrosis. Our results showed that the kurtosis of tumor ADC values obtained from texture analysis is correlated with massive intratumoral necrosis and is associated with poor prognosis in patients with pancreatic cancer.

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