Adoption of Dynamic Contrast Enhanced Magnetic Resonance Imaging in Qualitative Diagnosis of Solid Breast Mass

Abstract

To investigate the effect of multiphase dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) and diffusion weighted imaging (DWI) in the diagnosis of breast tumor, this study was conducted on 60 patients with breast solid mass disease confirmed by pathology in xxx hospital from January 2016 to December 2018. Based on magnetic resonance imaging (MRI) examination images of patients, the application effects of homomorphic filtering algorithm, non-parametric algorithm and the energy minimization algorithm based on homomorphic filtering proposed in this study were compared in the non-uniform field correction of MRI images. Morphology, time-intensity curve (TIC) curve typing based on DCE-MRI, apparent diffusion coefficient (ADC) value based on diffusion-weighted imaging (DWI) and the combination of three methods were compared in the diagnosis of benign and malignant breast lesions The results showed that the energy minimization algorithm based on homomorphic filtering proposed in this study can effectively improve the non-uniformity in MRI images, and the coefficient of variation was 0.82. The sensitivity of different single and combined methods to the diagnosis of lesion location was 90.91%, 86.36%, 90.91% and 97.73%, respectively. Comparison of Kappa consistency with pathological diagnosis revealed that k values were 0.53 (consistent), 0.59 (consistent), 0.74 (consistent) and 0.85 (consistent), respectively, which indicated that the energy minimization algorithm based on homomorphic filtering could be applied to the non-uniform field correction of MRI images, and the combined diagnosis of morphology, DCE-MRI and DWI could effectively improve the diagnostic accuracy of benign and malignant breast masses.