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Abstract #2403

Evaluating the feasibility of predicting the multiple pathological indexes of hepatocellular carcinoma with a single MR scan

Xue Han1, Yunfei Zhang2, Qi Wang1, Yan Ding1, Hui Liu1, Xiaojing Ma1, Gaofeng Shi1, and Yongming Dai2
1The Fourth Affiliated Hospital of Hebei Medical University, Shijiazhuang, China, 2United Imaging Healthcare, Shanghai, China

Imaging manifestations and pathological findings are tightly correlated to each other as they all provide the portraying of the tumor from different perspectives. We hypothesized that exploiting the quantitative markers from MR images would be a feasible way for simultaneously predicting the multiple pathological indexes. With regard to conventional “mean value” of ROI, histogram metrics, taking the tumor heterogeneity into consideration, can give full play of quantitative indicators. This research aims to preliminarily evaluate the feasibility of simultaneously predicting the multiple pathological indexes with a single Intravoxel incoherent motion (IVIM) scan by extracting multiple histogram metrics of parametric images.

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