IVIM-DWI模型各参数与乳腺癌预后因子及分子亚型的相关性分析

doi:10.19739/j.cnki.issn1001-9510.2019.05.009

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Abstract Objective To explore the correlation analysis among the parameters of IVIM-DWI model and the prognostic factors and molecular subtypes of breast cancer. Methods The DCE-MRI and IVIM-DWI data of 152 patients with breast cancer were retrospective analyzed, the parameters of IVIM-DWI (f value, D value and D^* value) and the expression of prognostic factors (ER, PR, HER-2, Ki-67) were used to analyze the correlation among IVIM-DWI parameters and prognostic factors. The molecular subtypes of the lesions were determined by the immunohistochemical Results and then the correlations between the IVIM-DWI parameters and molecular subtypes were analyzed. Results There was no significant difference of D value, D^*value and f value between the ER positive and negative groups. The D value was negatively correlated with the expression of PR, HER-2 receptors and Ki-67. The D^* value was positive correlated with the expression of HER-2. The D value of the Luminal A type group was significantly higher than that of the other groups; The D value of the triple negative breast cancer was the lowest among of them, there was significant difference of Luminal A type and HER overexpression, however, there was no significant difference between the triple negative breast cancer and the Luminal B type. D^* value and f value had no significant difference among the molecular subtypes. Conclusion The D value had some correlation with PR, HER-2 receptors and Ki-67 expression. And the D value might have a potential value in distinguishing different molecular subtypes of breast cancer.

Key words： breast cancer intravoxel incoherent motion diffusion-weighted imaging molecular subtypes prognostic factor

Received: 19 March 2019

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R473.6

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	Articles by authors
	MA Dejing
	LU Feng
	ZHANG Hu
	DONG Jingmin
	MA Mimi

Cite this article:

MA Dejing,LU Feng,ZHANG Hu, et al. Correlation analysis among parameters of IVIM-DWI model, prognostic factors and molecular subtypes of breast cancer[J]. 滨州医学院学报, 2019, 42(5): 349-352.

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http://manu58.magtech.com.cn/Jwk_bzyxy/EN/10.19739/j.cnki.issn1001-9510.2019.05.009 OR http://manu58.magtech.com.cn/Jwk_bzyxy/EN/Y2019/V42/I5/349

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