Combining Dynamic Contrast-Enhanced Magnetic Resonance Imaging and Apparent Diffusion Coefficient Maps for a Radiomics Nomogram to Predict Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Patients

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Combining Dynamic Contrast-Enhanced Magnetic Resonance Imaging and Apparent Diffusion Coefficient Maps for a Radiomics Nomogram to Predict Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Patients

机译：结合动态对比度增强的磁共振成像和表观扩散系数图对辐射瘤的NOM图来预测乳腺癌患者Neoadjuvant化疗的病理完全反应

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Objective

机译：客观的

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《Journal of computer assisted tomography》 |2020年第2期|共9页
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正文语种 eng
中图分类放射医学;
关键词
radiomics; MRI; neoadjuvant chemotherapy; treatment response;

机译：辐射瘤;MRI;Neoadjuvant化疗;治疗反应;

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专利

1. Combining Dynamic Contrast-Enhanced Magnetic Resonance Imaging and Apparent Diffusion Coefficient Maps for a Radiomics Nomogram to Predict Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Patients [J] . Journal of computer assisted tomography . 2020,第2期

机译：结合动态对比度增强的磁共振成像和表观扩散系数图对辐射瘤的NOM图来预测乳腺癌患者Neoadjuvant化疗的病理完全反应
2. Radiomics of Tumor Heterogeneity in Longitudinal Dynamic Contrast-Enhanced Magnetic Resonance Imaging for Predicting Response to Neoadjuvant Chemotherapy in Breast Cancer [J] . Ming Fan, Hang Chen, Chao You, Frontiers in Molecular Biosciences . 2021,第a期

机译：纵向动态对比度增强磁共振成像中肿瘤异质性的辐射术，以预测乳腺癌新辅助化疗的反应
3. Magnetic Resonance Imaging Combined With Second-look Ultrasonography in Predicting Pathologic Complete Response After Neoadjuvant Chemotherapy in Primary Breast Cancer Patients [J] . Hayashi Naoki, Tsunoda Hiroko, Nomura Maki, Clinical breast cancer . 2019,第1期

机译：磁共振成像结合二看超声检查预测原发性乳腺癌患者新辅助化疗后的病理完全反应
4. Dynamic Contrast-Enhanced Magnetic Resonance Imaging for Prediction of Response to Neoadjuvant Chemotherapy in Breast Cancer [C] . Juzhong Fu, Ming Fan, Bin Zheng, Conference on PACS and imaging informatics . 2016

机译：动态对比增强磁共振成像预测乳腺癌对新辅助化疗的反应
5. Development and Validation of a Nomogram to Predict Pathological Complete Response to Neoadjuvant Chemotherapy for Breast Cancer. [D] . Yang, Victoria Qi. 2015

机译：诺法图的开发和验证，以预测对乳腺癌新辅助化学疗法的病理完全反应。
6. Radiologic complete response (rCR) in contrast-enhanced magnetic resonance imaging (CE-MRI) after neoadjuvant chemotherapy for early breast cancer predicts recurrence-free survival but not pathologic complete response (pCR) [O] . Simon Peter Gampenrieder, Andreas Peer, Christian Weismann, 2019

机译：早期乳腺癌新辅助化疗后的造影增强磁共振成像（CE-MRI）中的放射学完全缓解（rCR）预测无复发生存但病理完全缓解（pCR）无法预测
7. Accuracy of magnetic resonance imaging for predicting pathological complete response of breast cancer after neoadjuvant chemotherapy: association with breast cancer subtype [O] . 2016

机译：磁共振成像预测新辅助化疗后乳腺癌病理完全反应的准确性：与乳腺癌亚型的关联

Combining Dynamic Contrast-Enhanced Magnetic Resonance Imaging and Apparent Diffusion Coefficient Maps for a Radiomics Nomogram to Predict Pathological Complete Response to Neoadjuvant Chemotherapy in Breast Cancer Patients

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