This work aimed for ADC and FA texture features based strategy to identify intrahepatic mass-forming cholangiocarcinoma (IMCC) and solitary hypovascular hepatic metastasis (SHHM) which may represent a diagnostic challenge due to many overlapping MRI features. The results showed that ADC and FA texture features can differentiate IMCC and SHHM. The Grey Level Non-uniformity (GLN) achieved the best result (AUC: 0.820; sensitivity: 79.2%; specificity: 86.2%) on ADC signal intensity map, forming a valuable strategy for clinical practice.
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