The value of tumor hemodynamics and morphological features in predicting the postoperative recurrence time of breast cancer based on dynamic contrast-enhanced MRI
10.3760/cma.j.issn.1005-1201.2020.03.007
- VernacularTitle:基于动态对比增强MRI的肿瘤血流动力学及形态学特征预测乳腺癌术后复发时间的价值
- Author:
Wei NIU
1
;
Yahong LUO
;
Tao YU
;
Yan GUO
;
Yi ZHANG
;
Tengfei PENG
;
Xiaowen MA
;
Puchen LI
Author Information
1. 中国医科大学肿瘤医院 辽宁省肿瘤医院医学影像科，沈阳 110042
- From:
Chinese Journal of Radiology
2020;54(3):209-214
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the value of tumor hemodynamics and morphological features from conventional dynamic contrast-enhanced MRI (DCE-MRI) scan before surgery in predicting postoperative recurrence time in breast cancer patients.Methods:A retrospective analysis of 58 patients with breast cancer who had recurred after operation from November 2012 to December 2014 in Liaoning Cancer Hospital was performed. According to the recurrence time, the patients were divided into early recurrence group (≤2 years after surgery, 33 cases) and late recurrence group (>2 years after surgery, 25 cases). All patients underwent routine DCE-MRI scans before surgery, and hemodynamic features of the three-dimensional volume of the tumor and the morphological and textural features of the tumor in each phase were extracted by computer. The counts and measurement data of patients in early recurrence group and late recurrence group were compared by Fisher′s exact probability method and Mann-Whitney U test, and receiver operating characteristic (ROC) curves were drawn. The multivariate logistic regression was used to calculate the combined efficacy in predicting early recurrence and late recurrence. Kaplan-Meier method was used to analyze the survival prognosis, and Log-Rank test was used to compare the differences in survival curves between groups. Results:There was no significant difference in background parenchymal enhancement, lesion margin, lesion internal enhancement characteristics, lesion morphology, time-signal intensity curve type and the degree of whole-breast vascularity increase between early recurrence and late recurrence groups ( P>0.05).There were significant differences in the maximum concentration of contrast (Max Conc), the area under the time signal curve (AUC) and the maximum slope value of the time signal curve (Max Slope) ( P<0.05). Comparative analysis of the radiomics parameters of 8 phases DCE-MRI found that the sphericity of morphological characteristic parameters in the phase 3 was statistically different between the early recurrence and late recurrence groups ( P=0.03). Area under the ROC curve of AUC, Max Conc, Max Slope and parameter sphericity of phase 3 morphological characteristics for predicting early and late recurrence were 0.664, 0.659, 0.684 and 0.670, respectively. The area under the ROC combined with the above four parameters for prediction was 0.765, with a specificity of 63.6% and a sensitivity of 84.0%; the predictive efficacy was higher than that of univariate. Fifty-eight patients were followed up for 17 to 64 months with a median follow-up of 47 months. The disease-free survival and overall survival in the early recurrence group were significantly lower than those in the late recurrence group, and the difference was statistically significant ( P<0.05). Conclusion:It is of certain value to predict the postoperative recurrence time of breast cancer based on the tumor hemodynamic characteristics combined with morphological characteristics from preoperative non-invasive conventional DCE-MRI.
