Keywords: Liver, Cancer, Habitat imaging
Motivation: Isocitrate dehydrogenase 1 (IDH1) mutation is an important therapeutic target for intrahepatic cholangiocarcinoma (ICC).
Goal(s): To achieve non-invasive prediction of IDH1 mutation in ICC to assist in clinical management.
Approach: Preoperative Gd-EOB-DTPA-enhanced MRI features and clinical information were retrospectively collected. Habitat analysis was performed based on pre- and post-enhancement T1 maps. Nomogram prediction model was established based on filtered variables.
Results: Higher serum AFP level, higher T1 change ratio, more frequent intratumoral vessel and T2 central brightness, and habitat 5 are risk factors for IDH1-mutated ICC. The combined nomogram model demonstrated the highest diagnostic performance over the clinilal+imaging model and the habitat model.
Impact: The proposed strategy, Gd-EOB-DTPA-enhanced MRI and T1–based habitat imaging, can be applied for preoperatively and noninvasively identifying IDH1-mutation status in ICC, which offers potential benefits in terms to aid in clinical management.
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