Ultrafast dynamic contrast-enhanced (UF-DCE) MRI allows us to obtain kinetic information based on early inflow of contrast medium. A prediction model of diagnosing malignancy using maximum slope (MS) derived from UF-DCE MRI, ADC from DWI, lesion size and patient’s age was constructed. The second model using washout index (WI) derived from conventional DCE MRI instead of MS was constructed for comparison. The two multiparametric prediction models achieved almost the same AUC (AUC 0.91 vs 0.89, p=0.20). The multiparametric approach based on UF-DCE MRI, DWI and patient’s age provided excellent diagnostic performance with decreased scanning time.
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