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Abstract
To evaluate and compare the performance of synthetic magnetic resonance imaging (SyMRI) in classifying benign and malignant breast lesions and predicting the expression status of immunohistochemistry (IHC) markers. We retrospectively analysed 121 patients with breast lesions who underwent dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and SyMRI before surgery in our hospital. DCE-MRI was used to assess the lesions, and then regions of interest (ROIs) were outlined on SyMRI (before and after enhancement), and apparent diffusion coefficient (ADC) maps to obtain quantitative values. After being grouped according to benign and malignant status, the malignant lesions were divided into high and low expression groups according to the expression status of IHC markers. Logistic regression was used to analyse the differences in independent variables between groups. The performance of the modalities in classification and prediction was evaluated by receiver operating characteristic (ROC) curves. In total, 57 of 121 lesions were benign, the other 64 were malignant, and 56 malignant lesions performed immunohistochemical staining. Quantitative values from proton density-weighted imaging prior to an injection of the contrast agent (PD-Pre) and T2-weighted imaging (T2WI) after the injection (T2-Gd), as well as its standard deviation (SD of T2-Gd), were valuable SyMRI parameters for the classification of benign and malignant breast lesions, but the performance of SyMRI (area under the curve, AUC = 0.716) was not as good as that of ADC values (AUC = 0.853). However, ADC values could not predict the expression status of breast cancer markers, for which SyMRI had excellent performance. The AUCs of androgen receptor (AR), estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER-2), p53 and Ki-67 were 0.687, 0.890, 0.852, 0.746, 0.813 and 0.774, respectively. SyMRI had certain value in distinguishing between benign and malignant breast lesions, and ADC values were still the ideal method. However, to predict the expression status of IHC markers, SyMRI had an incomparable value compared with ADC values.
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Details
1 Shanxi Medical University, Department of Medical Imaging, Taiyuan, China (GRID:grid.263452.4) (ISNI:0000 0004 1798 4018); Cancer Hospital Chinese Academy of Medical Sciences, Shenzhen Center, Department of Radiology, Shenzhen, China (GRID:grid.459409.5) (ISNI:0000 0004 0632 3230)
2 Shanxi Medical University, Department of Medical Imaging, Taiyuan, China (GRID:grid.263452.4) (ISNI:0000 0004 1798 4018)
3 Cancer Hospital Chinese Academy of Medical Sciences, Shenzhen Center, Department of Breast Surgery, Shenzhen, China (GRID:grid.459409.5) (ISNI:0000 0004 0632 3230)
4 The 2nd Affiliated Hospital of Shanxi Medical University, Department of Radiology, Taiyuan, China (GRID:grid.263452.4) (ISNI:0000 0004 1798 4018)
5 The 2nd Affiliated Hospital of Shanxi Medical University, Department of Pathology, Taiyuan, China (GRID:grid.263452.4) (ISNI:0000 0004 1798 4018)
6 First Hospital of Shanxi Medical University, Department of Radiology, Taiyuan, China (GRID:grid.452461.0) (ISNI:0000 0004 1762 8478)