|Table of Contents|

Diagnostic value of DWI and dynamic contrast-enhanced MRI in patients with four different types of breast cancer

Journal Of Modern Oncology[ISSN:1672-4992/CN:61-1415/R]

Issue:
2021 01
Page:
116-120
Research Field:
Publishing date:

Info

Title:
Diagnostic value of DWI and dynamic contrast-enhanced MRI in patients with four different types of breast cancer
Author(s):
XU Lina; TANG Zhuxiao; LI Shuangbiao; LI Li; XU Wenli; LI Ruinan
Department of Imaging，Cangzhou Combination of Traditional Chinese and Western Medicine of Hebei Province, Hebei Cangzhou 061001，China.
Keywords:
breast cancer; MRI; molecular subtype; diagnosis
PACS:
R737.9
DOI:
10.3969/j.issn.1672-4992.2021.01.026
Abstract:
Objective：To explore the diagnostic value of DWI and dynamic contrast-enhanced MRI in patients with four different types of breast cancer.Methods：98 patients diagnosed as breast cancer in our hospital from september 2016 to september 2018 were selected，and all were scanned with DWI and DCE-MRI，and then underwent breast cancer surgery for pathological molecular typing.Mann Whitney U test and univariate logistic regression were used to analyze each variable and univariate.Multivariate logistic regression was used to further analyze and model the variables with statistical significance in univariate analysis.Receiver operating characteristic curve was used to evaluate the diagnostic efficiency of the model.Hosmer lemeshow test was used to test the goodness of the model.Results：There were 32 cases of luminal A，45 cases of luminal B，10 cases of HER-2 overexpression and 11 cases of TN.The AUC of ADC and IER were lower than 0.07 and were limited in differentiating molecular classification of breast cancer.The AUC of DCE_bior3.1_3_correlation was 0.732 when diagnosing luminal A breast cancer.The AUC of ADC_rbio1.1_1_sum_variance was 0.722 when diagnosing luminal B breast cancer.The AUC of ADC_L_G_2.5_min was 0.747 when diagnosing HER-2 overexpressing breast cancer.The AUC of five imaging features in differentiating LN breast cancer were all over 0.07.The model for identification of luminal A and non luminal A was 0.005×ADC_rbio1.1_1_sum_variance+0.032×DCE_bior3.1_3_correlation－0.273.The model for identification of luminal B and non luminal B was-0.008×ADC_rbio1.1_1_sum_variance－0.003×DCE_rbio3.1_3_variance+3.204.The model for identification of TN and non-TN was -0.163×DCE_L_G_2.5_autocorrelation+8.904.And the AUC of the three model was 0.7876，0.744 and 0.773.P value of each model was more than 0.05 by Hosmer lemeshow test.There was no statistical significance between the predicted value and the observed value of each model，and the model fitting effect was good.Conclusion：ADC and IER are limited in differentiating breast cancer molecular subtypes.DWI and DCE-MRI are useful in differentiating breast cancer molecular subtypes.

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Memo

Memo:
沧州市科技局项目基金（编号：162302052）
Last Update: 2020-11-30