Abstract #2375

Perfusion analyses of breast benign and malignant lesions using super high frame rate reconstruction with stack-of-stars acquisition

Yoshie Omiya¹, Tetsuya Wakayama², Daiki Tamada¹, Sagar Mandava³, Ty A Cashen⁴, Hiroshi Onishi¹, and Utaroh Motosugi¹

¹University of Yamanashi, Chuo, Japan, ²MR Collaboration and Development, GE Healthcare, Hino, Japan, ³MR Collaboration and Development, GE Healthcare, Tucson, AZ, United States, ⁴MR Collaboration and Development, GE Healthcare, Madison, WI, United States

Dynamic contrast-enhanced MRI (DCE-MRI) is used to diagnose breast cancer. Although 3-phase DCE-MRI is used in clinical settings according to BI-RADS, higher temporal resolution with perfusion analyses may be essential to precisely distinguish between benign and malignant breast lesions. Stack-of-stars (SOS) acquisition enables motion-robust DCE-MRI with arbitrary high temporal resolution. We performed perfusion analyses of breast lesions using super-high frame rate reconstruction (3.2 s/phase) with SOS acquisition, compared with BI-RADS-based enhancement category using typical temporal resolution (32 s/phase), and found that two more lesions were accurately diagnosed via perfusion-based analyses using super-high frame reconstruction compared to BI-RADS-based evaluation.

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