The Feasibility of Combining ADC Value With Texture Analysis of T2WI, DWI and CE-T1WI to Preoperatively Predict the Expression Levels of Ki-67 and p53 of Endometrial Carcinoma

Purpose To evaluate the feasibility of apparent diffusion coefficient (ADC) value combined with texture analysis (TA) in preoperatively predicting the expression levels of Ki-67 and p53 in endometrial carcinoma (EC) patients. Methods Clinical, pathological and MRI findings of 110 EC patients were an...

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Published inFrontiers in oncology Vol. 11; p. 805545
Main Authors Jiang, Xueyan, Jia, Haodong, Zhang, Zhongyuan, Wei, Chao, Wang, Chuanbin, Dong, Jiangning
Format Journal Article
LanguageEnglish
Published Frontiers Media S.A 20.01.2022
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Summary:Purpose To evaluate the feasibility of apparent diffusion coefficient (ADC) value combined with texture analysis (TA) in preoperatively predicting the expression levels of Ki-67 and p53 in endometrial carcinoma (EC) patients. Methods Clinical, pathological and MRI findings of 110 EC patients were analyzed retrospectively. The expression levels of Ki-67 and p53 in EC tissues were detected by immunohistochemistry. ADC value was calculated, and three-dimensional (3D) texture features were measured on T 2 -weighted images (T 2 WI), diffusion-weighted images (DWI), and contrast-enhanced T 1 -weighted images (CE-T 1 WI). The univariate and multivariate logistic regression and cross-validations were used for the selection of texture features. The receiver operating characteristic (ROC) curve was performed to estimate the diagnostic efficiency of prediction model by the area under the curve (AUC) in the training and validation cohorts. Results Significant differences of the ADC values were found in predicting Ki-67 and p53 ( P =0.039, P =0.007). The AUC of the ADC value in predicting the expression levels of Ki-67 and p53 were 0.698, 0.853 and 0.626, 0.702 in the training and validation cohorts. The AUC of the TA model based on T 2 WI, DWI, CE-T 1 WI, and ADC value combined with T 2 WI + DWI + CE-T 1 WI in the training and validation cohorts for predicting the expression of Ki-67 were 0.741, 0.765, 0.733, 0.922 and 0.688, 0.691, 0.651, 0.938, respectively, and for predicting the expression of p53 were 0.763, 0.805, 0.781, 0.901 and 0.796, 0.713, 0.657, 0.922, respectively. Conclusion ADC values combined with TA are beneficial for predicting the expression levels of Ki-67 and p53 in EC patients before surgery, and they provide higher auxiliary diagnostic values for clinical application.
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This article was submitted to Cancer Imaging and Image-directed Interventions, a section of the journal Frontiers in Oncology
Reviewed by: Caterina Giannitto, Humanitas Research Hospital, Italy; Jian Shu, Affiliated Hospital of Southwest Medical University, China
Edited by: Chuanming Li, Chongqing Medical University, China
These authors have contributed equally to this work
ISSN:2234-943X
2234-943X
DOI:10.3389/fonc.2021.805545