Meeting Banner
Abstract #3379

Predicting Malignancy in High-Risk Breast Cancer Patients: Evaluating Diagnostic Accuracy of Pre-Treatment Contrast-Enhanced MRI

Yousef Mazaheri1, Charles W. Fry2, Sandra B. Brennan2, Elizabeth A. Morris2

1Medical Physics, Memorial Sloan-Kettering Cancer Center, New York, NY, United States; 2Radiology, Memorial Sloan-Kettering Cancer Center, New York, NY, United States

To evaluate three empirical parametric models of enhancement (Liner-slope model, Ricker model, and Gamma-variate model) fitted to normalized contrast-enhanced magnetic resonance imaging (CE-MRI) data to better stratify risk in high-risk breast cancer patients.

Keywords

acquisition administration agent appearance assisted atypical automatic available bandwidth benign better biopsy board body borderline breast cancer carcinoma care categorized characteristics clinical coil compliant concern considered contrast core criteria curves dedicated diagnosed diagnosis diagnostic dilated dynamic empirical enhanced enhancement enhancing evaluate evaluated evaluating examinations excised experienced field findings fitted flush fulfilled gamma guided health hyperplasia include included inclusion informed institution institutional intensity intravenous kilogram kinetic lesion lesions linear liner lobular major malignancy malignant many matrix medical memorial model modeling models morris needle normalized parametric pathologic patients pattern peak persistently pharmaceuticals physics placed play plots predicting predictive preliminary probably prone qualitative qualitatively quantify radial radiation radiologist radiology rank recently reported review risk role saline samples scaling scar scars semi sensitivity seven several slice slope specificity statistically strategies stratify suggest suggested summarizes suppressed surface surgery systems table treatment twenty type typical typically undergo underwent unit unnecessary variability variate waiver wash washout wide women