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.

This abstract and the presentation materials are available to members only; a login is required.

Join Here