Diagnostic Accuracy of MRI in Predicting @entity0 Size: Comparative Analysis of MRI vs Histopathological Assessed XXXX Size.

@entity1 @entity1137 @entity3821 @entity0 @entity5 @entity513
BACKGROUND: Diagnostic accuracy of MRI in predicting @entity0 size: comparative analysis of @entity0 size byMRI vs histopathological assessment. PURPOSE: Tumor size is one of the most important factors in making a clinical and pathological assessment of @entity0 . The purpose of this study is to evaluate if MRI imaging is helpful for the surgeon in the preoperative accurate assessment of @entity5 size. METHODS: We retrospectively reviewed the charts of 124 @entity1 who were diagnosed or managed at the Saint Francis /Mt. Sinai Regional @entity5 Center. We then compared the preoperative @entity5 size with the histopathological @entity5 size obtained at surgical resection. @entity5 were divided into four histological groups: @entity513 ( @entity513 ), @entity1137 ( @entity1137 ), @entity3821 ( @entity3821 ), and @entity5 (including mucinous, papillary, tubular, and apocrine @entity0 ). MRI measurement of @entity5 size was compared against the reference size obtained from the microscopic measurement of the largest diameter of @entity5 . Concordance was defined as a difference  <= 0.5 cm between MRI and pathology. RESULTS: A total of 124 @entity1 with 147 @entity0 were included in our study. The mean age was 59.8    12.72 years. Histologically, there were 81 @entity513 (55.10%), 35 @entity3821 (23.81%), 15 @entity1137 (10.20%), and 16 @entity5 (10.88%). Out of 147 @entity5 , 55.78% showed concordance of MRI and pathologic @entity5 size within 0.5 cm. MRI overestimated 31.97% and underestimated 12.24% of @entity5 . CONCLUSION: Breast MRI provides an additional tool for preoperative assessment of @entity5 size. In our study, we noted 56% concordance between MRI with pathological @entity5 size within 0.5 cm. Several factors, including grading of @entity5 , @entity5 type, and size, strongly affect the accuracy of MRI in the preoperative assessment of @entity5 size. High-grade @entity5 and @entity3821 are the two strongest negative factors resulting in overestimation of @entity5 size on MRI.
