DCE-MRI quantitative parameter global histogram in differential diagnosis of breast ductal carcinoma in situ and breast ductal carcinoma in situ with microinvasion
10.13929/j.1003-3289.201812174
- Author:
Peng WU
1
Author Information
1. Department of Imaging, The First Hospital Affiliated to Hebei North University
- Publication Type:Journal Article
- Keywords:
Breast neoplasms;
Carcinoma in situ;
Dynamic contrast enhancement;
Histogram;
Magnetic resonance imaging
- From:
Chinese Journal of Medical Imaging Technology
2019;35(7):1022-1027
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To explore the value of dynamic enhanced MRI (DCE-MRI) quantitative parameter global histogram in differential diagnosis of breast ductal carcinoma in situ (DCIS) and DCIS with micro-invasion (DCIS-Mi). Methods: Totally 41 patients with DCIS-Mi and 37 patients with DCIS underwent DCE-MRI before operation. The volume transport constant (Ktrans), rate constant (Kep) and plasma volume fraction (Vp) were calculated, and the parameters of the global histogram were recorded, including mean, median and the quantiles of 10%, 25%, 50%, 75% and 90% (P10, P25, P50, P75 and P90). The parameters were compared between DCIS-Mi and DCIS patients, and the diagnostic values were evaluated. Results: The mean and percentiles of Ktrans parameters, the mean, median, P50, P75 and P90 of Kep parameters, the mean, median, P25, P50 and P75 of Vp parameters of DCIS-Mi patients were all higher than those of DCIS patients (all P<0.05). Logistic regression results showed that Ktrans mean, Ktrans-P25, Ktrans-P50, Ktrans-P75, Ktrans-P90, Kep-P50, Kep-P75, Kep-P90, Vp mean, Vp-P75 were the best variables for diagnosis of DCIS-Mi, and AUC>0.80. The joint variable Logistic regression model had the highest AUC (0.968), and its cut-off value, sensitivity and specificity was 2.152, 0.962 and 0.947, respectively. Conclusion: DCE-MRI global histogram analysis can quantitatively reflect tumor characteristics, accurately differentiate breast DCIS and DCIS-Mi.
