Current and Future Trends in Magnetic Resonance Imaging Assessments of the Response of Breast Tumors to Neoadjuvant Chemotherapy

被引:32
作者
Arlinghaus, Lori R. [1 ]
Li, Xia [1 ]
Levy, Mia [2 ,3 ]
Smith, David [1 ]
Welch, E. Brian [1 ]
Gore, John C. [1 ,4 ,5 ,6 ]
Yankeelov, Thomas E. [1 ,4 ,5 ,7 ]
机构
[1] Inst Imaging Sci, Dept Radiol & Radiol Sci, Nashville, TN 37232 USA
[2] Inst Imaging Sci, Dept Biomed Informat, Nashville, TN 37232 USA
[3] Inst Imaging Sci, Dept Med, Nashville, TN 37232 USA
[4] Inst Imaging Sci, Dept Biomed Engn, Nashville, TN 37232 USA
[5] Inst Imaging Sci, Dept Phys & Astron, Nashville, TN 37232 USA
[6] Inst Imaging Sci, Dept Mol Physiol & Biophys, Nashville, TN 37232 USA
[7] Inst Imaging Sci, Dept Canc Biol, Nashville, TN 37232 USA
基金
美国国家卫生研究院;
关键词
D O I
10.1155/2010/919620
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
The current state-of-the- art assessment of treatment response in breast cancer is based on the response evaluation criteria in solid tumors (RECIST). RECIST reports on changes in gross morphology and divides response into one of four categories. In this paper we highlight how dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) and diffusion-weighted MRI (DW-MRI) may be able to offer earlier, and more precise, information on treatment response in the neoadjuvant setting than RECIST. We then describe how longitudinal registration of breast images and the incorporation of intelligent bioinformatics approaches with imaging data have the potential to increase the sensitivity of assessing treatment response. We conclude with a discussion of the potential benefits of breast MRI at the higher field strength of 3T. For each of these areas, we provide a review, illustrative examples from clinical trials, and offer insights into future research directions.
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收藏
页数:17
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