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Abstract #2332

Multiparametric approach of diagnosing breast lesions using DWI and ultrafast DCE MRI: compared with conventional DCE MRI

Akane Ohashi1, Masako Kataoka1, Mami Iima1, Maya Honda1, Ayami Ohno Kishimoto1, Rie Ota1, Kanae Kawai Miyake1, Masakazu Toi2, and Kaori Togashi1
1Diagnostic Imaging and Nuclear Medicine, Kyoto University Graduate School of Medicine, Kyoto, Japan, 2Breast Surgery, Kyoto University Graduate School of Medicine, Kyoto, Japan

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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