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Abstract #4240

A High Specificity Biomarker for Breast Cancer Diagnosis: Shutter-Speed DCE-MRI Discrimination Among Seventy Seven Suspicious Lesions

Wei Huang1, Xin Li1, Alina Tudorica1, Elizabeth Morris2, Yiyi Chen1, Ian Tagge1, Sunitha Thakur2, Maayan Korenblit2, Ya Wang2, Zhigang Zhang2, Jason Koutcher2, Charles Springer1

1Oregon Health & Science University, Portland, OR, USA; 2Memorial Sloan Kettering Cancer Center, New York, NY, USA


In a DCE-MRI study of 77 suspicious breast lesions, it is demonstrated that, for the purpose of benign and malignant lesion discrimination, the region-of-interest (ROI) pharmacokinetic biomarkers extracted from the shutter-speed model (SSM) analysis of the time-course data perform significantly better than those derived from the standard model (SM) analysis or conventional clinical MRI interpretations. The Ktrans difference, ╬┤Ktrans (SSM Ktrans SM Ktrans), represents the strongest binary classifier with 88% specificity for 100% sensitivity. Parametric maps may allow even greater specificity.