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基于DCE-MRI和DWI瘤内及瘤周的影像组学预测乳腺癌HER-2状态的价值

王雨薇 孙敏 刘凤海 康立清 全帅

磁共振成像2024,Vol.15Issue(12):116-123,8.
磁共振成像2024,Vol.15Issue(12):116-123,8.DOI:10.12015/issn.1674-8034.2024.12.017

基于DCE-MRI和DWI瘤内及瘤周的影像组学预测乳腺癌HER-2状态的价值

Value of intratumoral and peritumoral radiomics based on DCE-MRI and DWI in predicting HER-2 status in breast cancer

王雨薇 1孙敏 2刘凤海 2康立清 2全帅3

作者信息

  • 1. 河北医科大学附属沧州市中心医院磁共振成像科,沧州 061000
  • 2. 沧州市中心医院磁共振成像科,沧州 061000
  • 3. 通用电气药业(上海)有限公司,上海 210000
  • 折叠

摘要

Abstract

Objective:To explore the value of dynamic contrast-enhanced magnetic resonance imaging(DCE-MRI)and diffusion-weighted imaging(DWI)based intratumoral and peritumoral radiomics methods in predicting the status of human epidermal growth factor receptor 2(HER-2)in breast cancer.Materials and Methods:Clinical and imaging data of 246 patients with pathologically proven breast cancer were retrospectively analyzed and randomly divided into training group and verification group according to a ratio of 7∶3.ITK-SNAP software was used to manually outline the intratumoral areas of interest,and PHIgo-AK software was used to expand the peritumoral and extract the intratumoral and peritumoral radiomics features.The optimal number of intratumor and peritumor features of DCE-MRI and DWI were selected by max-relevance and min-redundancy(mRMR)algorithm.Radiomics models of single sequence and combined sequence were established respectively,and the prediction efficiency of each model was analyzed by receiver operating characteristic(ROC)curve.The area under the curve(AUC)was calculated to select the model with the highest predictive efficiency.Independent risk factors for predicting HER-2 status were screened from clinical and routine imaging features in the training group through single logistic regression.A fusion model was established by combining the radiomic score(rad-score)of the model with the highest predictive power,and then presented by nomogram.AUC value,decision curve analysis and DCA were used to evaluate the efficacy and clinical value of the model.Results:The combined intratumoral and peritumoral imaging model based on DCE-MRI and DWI predicted the AUC value of HER-2 status in the training group and the verification group,which were 0.953 and 0.948,respectively,with the highest efficiency.Tumor maximum diameter is an independent risk factor for distinguishing breast cancer HER-2 status.Finally,the fusion model established by combining rad-score and tumor maximum diameter has good predictive efficacy for breast cancer HER-2 status,with the AUC value of 0.961 in the training group and 0.958 in the verification group.Conclusions:The intratumoral and peritumoral radiomic methods based on DCE-MRI and DWI have good value in the prediction of breast cancer HER-2 status.

关键词

乳腺癌/人类表皮生长因子受体2/影像组学/瘤周/磁共振成像/动态对比增强磁共振成像/扩散加权成像

Key words

breast cancer/human epidermal growth factor receptor 2/radiomics/peritumor/magnetic resonance imaging/dynamic contrast-enhanced magnetic resonance imaging/diffusion-weighted imaging

分类

医药卫生

引用本文复制引用

王雨薇,孙敏,刘凤海,康立清,全帅..基于DCE-MRI和DWI瘤内及瘤周的影像组学预测乳腺癌HER-2状态的价值[J].磁共振成像,2024,15(12):116-123,8.

基金项目

Hebei Medical Science Research Project(No.20241572). 河北省医学科学研究课题计划(编号:20241572) (No.20241572)

磁共振成像

OA北大核心CSTPCD

1674-8034

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