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  • Title: Accuracy of diffusion kurtosis imaging in characterization of breast lesions.
    Author: Christou A, Ghiatas A, Priovolos D, Veliou K, Bougias H.
    Journal: Br J Radiol; 2017 May; 90(1073):20160873. PubMed ID: 28383279.
    Abstract:
    OBJECTIVE: The aim of this study was to evaluate the accuracy of diffusion kurtosis in the characterization and differentiation of breast lesions. METHODS: 49 females with 53 breast lesions underwent breast MRI. The MRI magnetic field is 1.5 T, and the protocol is standard MRI sequences, dynamic sequences pre- and post-contrast agent administration and diffusion images. Diffusion kurtosis imaging (DKI) was applied as part of our standard breast MRΙ protocol. Two experienced radiologists on breast MRI, blinded to the final diagnosis, reviewed the parametric maps and placed a volume of interest on all slices including each lesion. Kurtosis [K apparent (Kapp)] and corrected apparent diffusion coefficient [D apparent (Dapp)] median values were then calculated from the whole-lesion histogram analysis. Receiver-operating characteristic analysis was used to determine the most effective cut-off values for the differentiation between benign and malignant pathologies. Histological analysis of the breast lesions was performed, and further comparative analysis of the results was performed to investigate the accuracy of the method. RESULTS: Benign (n = 19) and malignant lesions (n = 34) had mean diameters of 20.8 mm (10.1-31.5 mm) and 26.4 mm (10.5-42.3 mm), respectively. The lowest and the highest kurtosis values (Kapp) of malignant lesions were significantly higher than those of benign lesions. A cut-off of 0.71 provided specificity of 93.7% and sensitivity 97.1%, and the area under the curve (AUC) was 0.976 (p < 0.0001). The lowest and the highest Dapp values of malignant lesions were lower than those of benign lesions. A cut-off value of 1.57 × 10-3 mm2 s-1 provided specificity of 93.7% and sensitivity of 91.2% with AUC of 0.949 (p < 0.0001). CONCLUSION: DKI is an accurate additional tool for the characterization and differentiation of breast lesions with high Kapp and Dapp sensitivity and specificity rates. Advances in knowledge: DKI is able to distinguish benign from malignant breast pathologies. DKI increases the specificity of breast MRI.
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