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Abstract #0201

Impact of Factors Affecting the Accuracy of Breast MRI in Determining Residual Tumor Size Following Neoadjuvant Chemotherapy

Jeon-Hor Chen1, 2, Shadfar Bahri1, Rita S. Mehta3, Philip M. Carpenter4, Christine E. Mclaren5, Wen-Pin Chen6, David J. B. Hsiang7, Min-Ying Su1

1Center for Functional Onco-Imaging,Department of Radiological Sciences, University of California Irvine, Irvine, CA, United States; 2Department of Radiology, E-Da Hospital and I-Shou University, Kaohsiung, Taiwan; 3Department of Medicine, University of California Irvine, Irvine, CA, United States; 4Department of Pathology, University of California Irvine, Irvine, CA, United States; 5Department of Epidemiology, University of California Irvine, Irvine, CA, United States; 6Chao Family Comprehensive Cancer Center, University of California Irvine, Irvine, CA, United States; 7Department of Surgery, University of California Irvine, Irvine, CA, United States

This study was to investigate the role of multiple factors, including tumor characteristics, NAC regimens, MR systems, and time to operation, in affecting the accuracy of MRI evaluation of residual tumor size following NAC treatment. A total of 98 patients were studied. Univariate analysis revealed significant predictors including tumor type, morphology, ER, and MR scanner. Multivariate regression analyses demonstrated that only tumor type, tumor morphology, ER status, and HER-2 were independent predictors (all p<0.05). MRI diagnosis is less accurate in cancers with lobular component, cancers presenting non-mass-like enhancements, and cancers with ER positive and HER-2 negative status.

Keywords

absolute accuracy accurate achieve achieved affect affecting analyses assess assessment association background better bottom breast cancer cancers carpenter characteristic characteristics chemotherapy clinical combination complete component comprehensive considered crucial days decreased definitive detection determination determining diagnosed diagnoses diagnosis diagnostic differently dimension discrepancy disease distribution enhancements epidemiology examination examined examples excision facilitate false family final findings free function functional grade heterogeneous important improved include increasingly independent individual inoperable investigate knowledge lesion like linear lobular local made many margin mass materials measured medicine minimize modalities model models morphology multivariate nature negative noted optimal outcome outcomes overall overestimated partridge pathological pathology patient patients plan planning positive post prediction predictive predictors program radiological radiology recurrence reduce regimen regimens regression residual respectively respond response retrospective role scanner sciences selection sensitivity separate shin shrinks specificity stage statistic status strongest studies subtraction suggested summarized superior supported surgeons surgery surgical table treatment true tumor type underestimated univariate useful variable woman