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Investigating the prediction value of multiparametric magnetic resonance imaging at 3 T in response to neoadjuvant chemotherapy in breast cancer

机译：研究乳腺癌新辅助化疗对3T的多参数磁共振成像的预测价值

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摘要

ObjectiveTo explore the predictive value of parameters derived from diffusion-weighted imaging (DWI) and contrast-enhanced (CE)-MRI at different time-points during neoadjuvant chemotherapy (NACT) in breast cancer.

机译：目的探讨乳腺癌新辅助化疗（NACT）中不同时间点的弥散加权成像（DWI）和对比增强（CE）-MRI参数的预测价值。

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期刊名称 Springer Open Choice
作者
Lenka Minarikova; Wolfgang Bogner; Katja Pinker; Ladislav Valkovič; Olgica Zaric; Zsuzsanna Bago-Horvath; Rupert Bartsch; Thomas H. Helbich; Siegfried Trattnig; Stephan Gruber;
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作者单位

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年(卷),期 -1(27),5
年度 -1
页码 1901–1911
总页数 11
原文格式 PDF
正文语种
中图分类外科学;
关键词
Breast Neoplasms Diffusion Weighted Imaging Contrast-Enhanced Magnetic Resonance Imaging Neoadjuvant Chemotherapy;

机译：乳腺;肿瘤;扩散加权成像;对比增强磁共振成像;新辅助化疗;

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专利

1. Investigating the prediction value of multiparametric magnetic resonance imaging at 3 T in response to neoadjuvant chemotherapy in breast cancer [J] . Minarikova Lenka, Bogner Wolfgang, Pinker Katja, European radiology . 2017,第5期

机译：对乳腺癌新辅助化疗响应3T的多射磁共振成像的预测值
2. Impact of Machine Learning With Multiparametric Magnetic Resonance Imaging of the Breast for Early Prediction of Response to Neoadjuvant Chemotherapy and Survival Outcomes in Breast Cancer Patients [J] . Tahmassebi Amirhessam, Wengert Georg J., Helbich Thomas H., Investigative radiology . 2019,第2期

机译：机器学习对乳房乳房的多射磁共振成像的影响，对乳腺癌患者的新辅助化疗和生存结果的早期预测
3. Multiparametric Magnetic Resonance Imaging for Predicting Pathological Response After the First Cycle of Neoadjuvant Chemotherapy in Breast Cancer [J] . Li Xia, Abramson Richard G., Arlinghaus Lori R., Investigative radiology . 2015,第4期

机译：多参数磁共振成像预测乳腺癌新辅助化疗第一周期后的病理反应
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. Breast Cancer Spatial Heterogeneity in Near-Infrared Spectra and the Prediction of Neoadjuvant Chemotherapy Response [D] . Santoro, Ylenia 2012

机译：乳腺癌在近红外光谱中的空间异质性及新辅助化疗反应的预测
6. Prediction of Pathologic Complete Response by Ultrasonography and Magnetic Resonance Imaging After Neoadjuvant Chemotherapy in Patients with Breast Cancer [O] . Kai Zhang, Jiawei Li, Qian Zhu, 2020

机译：乳腺癌患者新辅助化疗后超声和磁共振成像对病理完全缓解的预测
7. Investigating the prediction value of multiparametric magnetic resonance imaging at 3 T in response to neoadjuvant chemotherapy in breast cancer. [O] . Minarikova, L, Bogner, W, Pinker, K, 2016

机译：研究乳腺癌新辅助化疗对3T的多参数磁共振成像的预测价值。

Investigating the prediction value of multiparametric magnetic resonance imaging at 3 T in response to neoadjuvant chemotherapy in breast cancer

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