Intratumor partitioning and texture analysis of dynamic contrast-enhanced (DCE)-MRI identifies relevant tumor subregions to predict pathological response of breast cancer to neoadjuvant chemotherapy

Wu Jia; Gong Guanghua; Cui Yi; Li Ruijiang

首页> 外文期刊>Journal of magnetic resonance imaging: JMRI >Intratumor partitioning and texture analysis of dynamic contrast-enhanced (DCE)-MRI identifies relevant tumor subregions to predict pathological response of breast cancer to neoadjuvant chemotherapy

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Intratumor partitioning and texture analysis of dynamic contrast-enhanced (DCE)-MRI identifies relevant tumor subregions to predict pathological response of breast cancer to neoadjuvant chemotherapy

机译：动态对比度增强（DCE）-MRI的肠划分和纹理分析鉴定了相关的肿瘤次区域，以预测乳腺癌的病理反应对Neoadjuvant化疗

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PurposeTo predict pathological response of breast cancer to neoadjuvant chemotherapy (NAC) based on quantitative, multiregion analysis of dynamic contrast enhancement magnetic resonance imaging (DCE-MRI).

机译：Purposeto预测乳腺癌对新辅助化疗（NAC）的病理反应，基于定量，多径的动态对比增强磁共振成像（DCE-MRI）。

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来源
《Journal of magnetic resonance imaging: JMRI》 |2016年第5期|共9页
作者
Wu Jia; Gong Guanghua; Cui Yi; Li Ruijiang;
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作者单位

Stanford Univ Sch Med Dept Radiat Oncol Stanford CA 94305 USA;

Stanford Univ Sch Med Dept Radiat Oncol Stanford CA 94305 USA;

Stanford Univ Sch Med Dept Radiat Oncol Stanford CA 94305 USA;

Stanford Univ Sch Med Dept Radiat Oncol Stanford CA 94305 USA;

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正文语种 eng
中图分类诊断学;
关键词
DCE-MRI; breast cancer; intratumor partitioning; texture analysis; treatment response prediction;

机译：DCE-MRI;乳腺癌;腹腔室分区;纹理分析;治疗响应预测;

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专利

1. Intratumor partitioning and texture analysis of dynamic contrast-enhanced (DCE)-MRI identifies relevant tumor subregions to predict pathological response of breast cancer to neoadjuvant chemotherapy [J] . Wu Jia, Gong Guanghua, Cui Yi, Journal of magnetic resonance imaging: JMRI . 2016,第5期

机译：动态对比度增强（DCE）-MRI的肠划分和纹理分析鉴定了相关的肿瘤次区域，以预测乳腺癌的病理反应对Neoadjuvant化疗
2. DCE‐MRI texture analysis with tumor subregion partitioning for predicting Ki‐67 status of estrogen receptor‐positive breast cancers [J] . Fan Ming, Cheng Hu, Zhang Peng, Journal of magnetic resonance imaging: JMRI . 2018,第1期

机译：DCE-MRI纹理分析与肿瘤子区域分区预测雌激素受体阳性乳腺癌的KI-67状态
3. Dynamic contrast-enhanced MRI texture analysis for pretreatment prediction of clinical and pathological response to neoadjuvant chemotherapy in patients with locally advanced breast cancer [J] . Jose R. Teruel, Mariann G. Heldahl, P?l E. Goa, NMR in biomedicine . 2014,第8期

机译：动态对比增强MRI纹理分析用于局部晚期乳腺癌患者对新辅助化疗的临床和病理反应的预处理预测
4. Predicting response before initiation of neoadjuvant chemotherapy in breast cancer using new methods for the analysis of dynamic contrast enhanced MRI (DCE MRI) data [C] . Joseph B. DeGrandchamp, Jennifer G. Whisenant, Lori R. Arlinghaus, Conference on biomedical applications in molecular, structural, and functional imaging . 2016

机译：使用新方法分析动态对比增强MRI（DCE MRI）数据预测乳腺癌新辅助化疗开始前的反应
5. Using Preoperative Mri-guided Biopsies to Predict Pathologic Complete Response after Neoadjuvant Chemotherapy in Breast Cancer [D] . Kim, Jiyoon. 2019

机译：在乳腺癌新辅助化疗后使用术前Mri引导的活检来预测病理完全缓解
6. Intra-tumor partitioning and texture analysis of DCE-MRI identifies relevant tumor subregions to predict pathological response of breast cancer to neoadjuvant chemotherapy [O] . Jia Wu, Guanghua Gong, Yi Cui, -1

机译：DCE-MRI的肿瘤内分区和纹理分析可确定相关的肿瘤子区域以预测乳腺癌对新辅助化疗的病理反应
7. Intratumor partitioning and texture analysis of dynamic contrast-enhanced (DCE)-MRI identifies relevant tumor subregions to predict pathological response of breast cancer to neoadjuvant chemotherapy [O] . Jia Wu, Guanghua Gong, Yi Cui, 2016

机译：动态对比增强（DCE）-MRI的肠划分和纹理分析鉴定了相关的肿瘤次见子，以预测乳腺癌对新辅助化疗的病理反应

Intratumor partitioning and texture analysis of dynamic contrast-enhanced (DCE)-MRI identifies relevant tumor subregions to predict pathological response of breast cancer to neoadjuvant chemotherapy

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