Abstract：Objective: To explore the significance of multimodal MRI in the identification of malignant breast lesions. Methods: We collected 51 cases of mammary gland patients with mammary gland nodules(diameter≤3 cm) from January 2013 to September 2016. The patient’s age, morphology of lesions, spiculation, boundary, ADC values and enhancement curve type were statistical analysis. Results: There was no statistically significant difference in the patient’s age(P=0.382). And there were statistical difference between the shape of the lesion, spiculation, boundary, ADC value, and enhancement curve type(P<0.05). In addition, the Logistic model was established to select two independent variables. The model was: Logit(P)=-0.503+0.387X5+0.257X6. And the sensitivity of its prediction ability was 91.9% and the specificity was 92.2%. Conclusion: Logistic regression model can be used to identify the most characteristic of benign malignant breast nodules, improve the ability of differential diagnosis of breast diseases, and provide more accurate imaging information for clinical diagnosis and treatment.
曾仲刚，李雪霞，李 刚，李志娟，陆火丽，李扬彬. 多模态MRI技术诊断乳腺单发良恶性结节的Logistic分析[J]. 中国临床医学影像杂志, 2018, 29(6): 395-399.
ZENG Zhong-gang, LI Xue-xia, LI Gang, LI Zhi-juan, LU Huo-li, LI Yang-bin. The Logistic analysis of multimodal MRI technique in diagnosis of single benign and malignant breast nodules. JOURNAL OF CHINA MEDICAL IMAGING, 2018, 29(6): 395-399.
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