Multi-sequence MRI texture analysis for predicting efficacy of neoadjuvant chemotherapy in uterine cervical carcinoma
10.13929/j.issn.1003-3289.2020.08.023
- VernacularTitle: 多序列MRI纹理分析预测宫颈癌新辅助化学治疗疗效
- Author:
Haijiao LI
1
Author Information
1. Department of Radiology, Peking University Cancer Hospital & Institute, Key Laboratory of Carcinogenesis and Translational Research [Ministry of Education]
- Publication Type:Journal Article
- Keywords:
Chemotherapy;
Magnetic resonance imaging;
Regional perfusion;
Uterine cervical neoplasms
- From:
Chinese Journal of Medical Imaging Technology
2020;36(8):1215-1219
- CountryChina
- Language:Chinese
-
Abstract:
Objective: To observe the value of multi-sequence MRI texture analysis for predicting efficacy of neoadjuvant chemotherapy (NACT) in uterine cervical carcinoma. Methods: A total of 32 cervical carcinoma patients underwent NACT. Pelvic MRI was performed before and after NACT, and the patients were divided into response group (complete response and partial response) and non-response group (stable disease and progressive disease) according to the standards of response evaluation criteria in solid tumors (RECIST). Texture analysis was performed on T2WI, DWI and contrast enhanced (CE) images before NACT. Totally 106 parameters were obtained for each sequence and compared between the two groups. Multivariate Logistic regression analysis was performed using the top two significant parameters as independent variables and create formula. By drawing the receiver operating characteristic (ROC) curve, the predictive value of single factor and regression model of each sequence were obtained, and the comparison was made among sequences. Results: Significant differences of 22 texture features of T2WI, 13 of DWI and 36 of CE were found between response group and non-response group (all P<0.05), and the areas under curve (AUC) using single features for predicting the effect of NACT for cervical cancer were 0.609-0.839, 0.745-0.813 and 0.552-0.786, respectively. Multivariate Logistic regression analysis for each sequence showed AUC of 0.839 for T2WI, 0.885 for DWI and 0.766 for CE. Conclusion: Pre-NACT multi-sequence MRI texture analysis has potential in predicting efficacy of NACT in cervical carcinoma, and DWI may be the best.
