Enhanced mass on contrast-enhanced breast MR imaging: Lesion characterization using combination of dynamic contrast-enhanced and diffusion-weighted MR images.
ABSTRACT To evaluate the diagnostic accuracy of a combination of dynamic contrast-enhanced MR imaging (DCE-MRI) and diffusion-weighted MR imaging (DWI) in characterization of enhanced mass on breast MR imaging and to find the strongest discriminators between carcinoma and benignancy.
We analyzed consecutive breast MR images in 270 patients; however, 13 lesions in 93 patients were excluded based on our criteria. We analyzed tumor size, shape, margin, internal mass enhancement, kinetic curve pattern, and apparent diffusion coefficient (ADC) values. We applied univariate and multivariate analyses to find the strongest indicators of malignancy and calculate a predictive probability for malignancy. We added the corresponding categories to these prediction probabilities for malignancy and calculated diagnostic accuracy when we consider category 4b, 4c, and 5 lesions as malignant and category 4a, 3, and 2 lesions as benign. In a validation study, 75 enhancing lesions in 71 patients were examined consecutively.
Irregular margin, heterogeneous internal enhancement, rim enhancement, plateau time-intensity curve (TIC) pattern, and washout TIC pattern were the strongest indicators of malignancy as well as past studies, and ADC values less than 1.1x10(-3) mm2/s were also the strongest indicators of malignancy. In a validation study, sensitivity, specificity, positive predictive value, negative predictive value, and accuracy were 92% (56/61), 86% (12/14), 97% (56/58), 71% (12/17), and 91% (68/75), respectively.
The combination of DWI and DCE-MRI could produce high diagnostic accuracy in the characterization of enhanced mass on breast MR imaging.
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ABSTRACT: The apparent diffusion coefficient (ADC) is a highly diagnostic factor in discriminating malignant and benign breast masses in diffusion-weighted magnetic resonance imaging (DW-MRI). The combination of ADC and other pictorial characteristics has improved lesion type identification accuracy. The objective of this study was to reassess the findings on an independent patient group by changing the magnetic field from 1.5-Tesla to 3.0-Tesla.BMC Cancer 05/2014; 14(1):366. · 3.32 Impact Factor
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ABSTRACT: The role of magnetic resonance diffusion-weighted imaging (DWI) to differentiate between malignant and benign lesions in the breast using mean apparent diffusion coefficient (ADC) values was evaluated prospectively in this study. Fifty female patients with 61 histopathologically proven solid breast lesions underwent dynamic contrast-enhanced magnetic resonance imaging and DWI using the spin-echo echo-planar technique. ADC maps have been obtained and ADCs of the lesions were calculated without knowledge of histopathological diagnosis. Golden standard was histology to define benign and malignant lesions. Statistical analysis was used to compare ADC values in the benign and malignant group and to calculate best cut-off value for distinguishing both groups based on receiver operator-curve characteristics (ROC). Differentiation of the benign and the malignant masses revealed that the threshold value of the ADC in maximum sensitivity and specificity was 1.22×10-3 mm2/s; at this threshold sensitivity was 96.2%, its specificity was 88.5%, and its positive predictive value was 86.2%. Its negative predictive value was 96.9%, and the accuracy rate was 91.8%. ROC analysis showed an area under the curve of 0.924 (p<0.001). Breast MRI with DWI using ADC measurements can be useful in the differentiation of benign and malignant breast lesions.Journal of Experimental and Clinical Medicine 01/2013; 30(4):305-310.
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ABSTRACT: OBJECTIVE. The purpose of this study is to assess associations between patient characteristics and apparent diffusion coefficient (ADC) values of normal breast fibroglandular tissue on diffusion-weighted imaging (DWI) at 3 T. MATERIALS AND METHODS. The retrospective study included 103 women with negative bilateral findings on 3-T breast MRI examinations (BI-RADS category 1). DWI was acquired during clinical breast MRI scans using b = 0 and b = 800 s/mm(2). Mean ADC of normal breast fibroglandular tissue was calculated for each breast using a semiautomated software tool in which parenchyma pixels were selected by interactive thresholding of the b = 0 s/mm(2) image to exclude fat. Intrasubject right- and left-breast ADC values were compared and averaged together to evaluate the association of mean breast ADC with age, mammographic breast density, and background parenchymal enhancement. RESULTS. Overall mean ± SD breast ADC was 1.62 ± 0.30 × 10(-3) mm(2)/s. Intrasubject right- and left-breast ADC measurements were highly correlated (R(2) = 0.89; p < 0.0001). Increased breast density was strongly associated with increased ADC (p ≤ 0.0001). Age and background parenchymal enhancement were not associated with ADC. CONCLUSION. Normal breast parenchymal ADC values increase with mammographic density but are independent of age and background parenchymal enhancement. Because breast malignancies have been shown to have low ADC values, DWI may be particularly valuable in women with dense breasts owing to greater contrast between lesion and normal tissue.American Journal of Roentgenology 05/2014; 202(5):W496-502. · 2.74 Impact Factor