多模态MRI技术诊断乳腺单发良恶性结节的Logistic分析

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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.

Key words： Breast diseases Breast neoplasms Magnetic resonance imaging

Received: 18 September 2017

PACS:	Ｒ655.8
	Ｒ737.9
	Ｒ445.2

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	Articles by authors
	ZENG Zhong-gang
	LI Xue-xia
	LI Gang
	LI Zhi-juan
	LU Huo-li
	LI Yang-bin

Cite this article:

ZENG Zhong-gang,LI Xue-xia,LI Gang, et al. The Logistic analysis of multimodal MRI technique in diagnosis of single benign and malignant breast nodules[J]. JOURNAL OF CHINA MEDICAL IMAGING, 2018, 29(6): 395-399.

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http://www.jccmi.com.cn/EN/ OR http://www.jccmi.com.cn/EN/Y2018/V29/I6/395

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