Open AccessPredictive value of ADC mapping in discriminating probably benign and suspicious breast lesions
Author(s) -
Mohamed Hamed Abowarda,
Doaa Ibrahim Hasan,
Osama Abdelaziz Elteeh
Publication year - 2015
Publication title -
the egyptian journal of radiology and nuclear medicine /the egyptian journal of radiology and nuclear medicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.19
H-Index - 13
eISSN - 2090-4762
pISSN - 0378-603X
DOI - 10.1016/j.ejrnm.2015.02.004
Subject(s) - medicine , effective diffusion coefficient , radiology , predictive value , bi rads , breast imaging , breast mri , nuclear medicine , breast cancer , mammography , magnetic resonance imaging , cancer
PurposeThe purpose of this study was to evaluate the usefulness of apparent diffusion coefficient (ADC value) in differentiating between probably benign breast lesions and, suspicious lesions (ACR-BIRADS categories 3 and 4 respectively).Patients and methodsBreast lesions meeting study criteria were identified on dynamic contrast enhanced (DCE)-MRI examinations in 48 women over the course of the study period for 2years. We found 27 (56.2%) of the cases probably benign as their BIRADS category 3 and the remaining 21 (43.7%) cases were category 4. Images were obtained with diffusion sensitizing gradients of 0 and 750mm2/s. The apparent diffusion coefficient (ADC) was calculated and correlated with the histological data.ResultsThe ADC values recorded a sensitivity of 97.9% and a specificity of 80%. The positive predictive value was 95.7% in differentiation between the benign and suspicious breast lesions. The difference in mean ADC for benign breast lesions (BIRADS-3, 1.45±0.46×10−3mm2/s), and suspicious lesions (BIRADS-4, 1.06±0.56×10−3mm2/s) was statistically significant.ConclusionIncluding the ADC diffusion coefficient in the diagnostic work up of patients with indeterminate breast lesions can help in the differentiation between benign and malignant breast lesions