Histogram analysis of apparent diffusion coefficient at 3.0T:correlation with different subtypes of invasive ductal carcinoma
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    Abstract:

    Objective:To investigate multiple apparent diffusion coefficient(ADC)histogram parameters that show correlations with different subtypes of invasive ductal carcinoma. Materials and Methods:From March 2014 to March 2016,a total of 182 invasive ductal carcinomas were included in this retrospective study. Various ADC histogram parameters were calculated including the entire tumor volume:the ADCmin,ADC10,ADCmean,ADCmedian,ADC90,ADCmax,skewness and kurtosis. The ADC multiple parameters of the histogram were calculated through Firevoxel software. The normality and homoscedasticity of imaging measures were tested using the Levene’s tests. Data satisfying the assumption were subjected to ANOVA and independent-sample t test. Conversely,data not satisfying the assumption were analyzed by using the Kruskal-Wallis test and Mann-Whitney U test. The correlation between ADC parameters with different subtypes of invasive ductal carcinoma were analyzed. Results:For most ADC parameters except for ADCmin,the mean of variable ADC parameters of HER-2 positivity,Luminal A,triple-negative,and Luminal B diseases were arranged in descending order(e.g. 1.501×10-3,1.401×10-3,1.330×10-3,1.223×10-3 mm2/s in ADC90,respectively)with statistical significant difference(P=0.019,0.035,< 0.001,respectively). Conclusion:Various ADC parameters were correlated with prognostic factors and subtype,except for ADCmin. HER-2 positivity showed high ADC values than other subgroups.

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Liu Hongli, Wei Han, Zou Qigui, Wang Siqi, Lou Jianjuan, Jiang Yanni. Histogram analysis of apparent diffusion coefficient at 3.0T:correlation with different subtypes of invasive ductal carcinoma[J].,2018,(2):211-216.

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History
  • Received:July 19,2017
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  • Online: March 02,2018
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