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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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