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本文引用的文献

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Reproducibility of perfusion parameters in dynamic contrast-enhanced MRI of lung and liver tumors: effect on estimates of patient sample size in clinical trials and on individual patient responses.肺和肝肿瘤动态对比增强 MRI 灌注参数的可重复性:对临床试验中患者样本量估计和个体患者反应的影响。
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Dynamic Contrast Enhanced Magnetic Resonance Imaging in Oncology: Theory, Data Acquisition, Analysis, and Examples.肿瘤学中的动态对比增强磁共振成像:理论、数据采集、分析及实例
Curr Med Imaging Rev. 2009 May 1;3(2):91-107. doi: 10.2174/157340507780619179.
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Frontiers of Biomedical Imaging Science 2009: workshop report and research opportunities.《生物医学成像科学前沿2009:研讨会报告与研究机遇》
Cancer Res. 2009 Oct 15;69(20):7902-4. doi: 10.1158/0008-5472.CAN-09-2521. Epub 2009 Oct 6.
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Voxel-by-voxel functional diffusion mapping for early evaluation of breast cancer treatment.用于乳腺癌治疗早期评估的逐体素功能扩散映射
Inf Process Med Imaging. 2009;21:276-87. doi: 10.1007/978-3-642-02498-6_23.
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Recurrent glioblastoma multiforme: ADC histogram analysis predicts response to bevacizumab treatment.复发性多形性胶质母细胞瘤:表观扩散系数直方图分析可预测贝伐单抗治疗反应。
Radiology. 2009 Jul;252(1):182-9. doi: 10.1148/radiol.2521081534.
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Temporal sampling requirements for reference region modeling of DCE-MRI data in human breast cancer.人类乳腺癌中DCE-MRI数据参考区域建模的时间采样要求
J Magn Reson Imaging. 2009 Jul;30(1):121-34. doi: 10.1002/jmri.21812.
7
Reproducibility and changes in the apparent diffusion coefficients of solid tumours treated with combretastatin A4 phosphate and bevacizumab in a two-centre phase I clinical trial.在一项两中心的 I 期临床试验中,用 combretastatin A4 磷酸盐和贝伐单抗治疗的实体瘤的表观扩散系数的重现性和变化。
Eur Radiol. 2009 Nov;19(11):2728-38. doi: 10.1007/s00330-009-1469-4. Epub 2009 Jun 23.
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A nonrigid registration algorithm for longitudinal breast MR images and the analysis of breast tumor response.一种用于纵向乳腺磁共振图像的非刚性配准算法及乳腺肿瘤反应分析。
Magn Reson Imaging. 2009 Nov;27(9):1258-70. doi: 10.1016/j.mri.2009.05.007. Epub 2009 Jun 13.
9
Regional chemotherapy for unresectable primary liver cancer: results of a phase II clinical trial and assessment of DCE-MRI as a biomarker of survival.不可切除原发性肝癌的区域化疗:一项II期临床试验结果及将动态对比增强磁共振成像作为生存生物标志物的评估
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Predicting survival and early clinical response to primary chemotherapy for patients with locally advanced breast cancer using DCE-MRI.使用动态对比增强磁共振成像(DCE-MRI)预测局部晚期乳腺癌患者对原发性化疗的生存情况和早期临床反应。
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磁共振成像生物标志物在癌症治疗反应临床试验中的作用。

The role of magnetic resonance imaging biomarkers in clinical trials of treatment response in cancer.

机构信息

Institute of Imaging Science, Vanderbilt University, Nashville, TN, USA.

出版信息

Semin Oncol. 2011 Feb;38(1):16-25. doi: 10.1053/j.seminoncol.2010.11.007.

DOI:10.1053/j.seminoncol.2010.11.007
PMID:21362513
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3073543/
Abstract

Current standard-of-care radiological methods for assessing the response of solid tumors to treatment are based on measuring changes in lesion size in a single dimension using high-resolution x-ray computed tomography (CT) or magnetic resonance imaging (MRI). Even if size measurements are adapted to record true volume changes more accurately, the effects of therapeutic drugs on tumor size may not occur for several cycles of treatment. Furthermore, current and future generations of anticancer drugs will be designed to affect highly specific cancer characteristics, and their effects may not be immediately cytotoxic. More sensitive and specific measures are required that can report on tumor status and treatment response early in the course of therapy. Several MRI techniques have matured to the point where they can offer quantitative information on tissue status and greater insight into specific biophysical and physiological characteristics of tumors. Here we review and provide illustrative examples of two MRI methods that have already been incorporated into clinical trials of treatment response in solid tumors: diffusion imaging and dynamic contrast-enhanced MRI. We also discuss the limitations and future research directions required for these techniques to gain greater acceptance and to have their maximum impact.

摘要

目前评估实体瘤对治疗反应的标准放射学方法基于使用高分辨率 X 射线计算机断层扫描(CT)或磁共振成像(MRI)在单一维度上测量病变大小的变化。即使大小测量经过调整以更准确地记录真实的体积变化,治疗药物对肿瘤大小的影响也可能不会在几个治疗周期内发生。此外,当前和未来几代抗癌药物将被设计用于影响高度特异性的癌症特征,其效果可能不会立即具有细胞毒性。需要更敏感和更特异的方法,可以在治疗过程的早期报告肿瘤状态和治疗反应。几种 MRI 技术已经成熟,可以提供关于组织状态的定量信息,并更深入地了解肿瘤的特定生物物理和生理特征。在这里,我们回顾并提供了两种已经纳入实体瘤治疗反应临床试验的 MRI 方法的示例:扩散成像和动态对比增强 MRI。我们还讨论了这些技术获得更大认可并发挥最大影响所需的局限性和未来研究方向。