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用于癌症应用的二硝基苯酚超极化碳磁共振代谢成像

DNP-Hyperpolarized C Magnetic Resonance Metabolic Imaging for Cancer Applications.

作者信息

Nelson S J, Vigneron D, Kurhanewicz J, Chen A, Bok R, Hurd R

机构信息

University of California San Francisco, San Francisco, California, USA.

出版信息

Appl Magn Reson. 2008;34(3-4):533-544. doi: 10.1007/s00723-008-0136-2.

Abstract

Critical factors in characterizing the aggressiveness and response to therapy for tumors are the availability of noninvasive biomarkers that can be combined with other clinical parameters to tailor treatment regimens to each individual patient. While conventional magnetic resonance (MR) images are widely used to estimate changes in tumor size, they do not provide the rapid readout that is required to make an early decision on whether a change in therapy is required. The use of hyperpolarized (13)C agents to obtain metabolic imaging data is of great interest for in vivo assessment of tumors. One of the first agents being considered for in vivo studies with dynamic nuclear polarization (DNP) is 1-(13)C-labeled pyruvate, which is converted to lactate or alanine, dependent upon the needs of the tissue in question. The development of this new technology and its implementation in preclinical cancer model systems has clearly demonstrated the potential for highlighting tumor aggressiveness and for monitoring changes associated with disease progression. While there is further work to do in terms of studying new agents, improving the DNP process itself and developing efficient MR methods for acquiring and analyzing the data, the preliminary results are extremely promising and provide strong motivation for considering cancer as one of the first applications of the technology.

摘要

表征肿瘤侵袭性和治疗反应的关键因素是有无非侵入性生物标志物,这些标志物可与其他临床参数相结合,为每个患者量身定制治疗方案。虽然传统的磁共振(MR)图像被广泛用于评估肿瘤大小的变化,但它们无法提供做出是否需要改变治疗方案的早期决策所需的快速读数。使用超极化(13)C试剂获取代谢成像数据对于肿瘤的体内评估具有重要意义。首批考虑用于动态核极化(DNP)体内研究的试剂之一是1-(13)C标记的丙酮酸,它会根据相关组织的需求转化为乳酸或丙氨酸。这项新技术的发展及其在临床前癌症模型系统中的应用已清楚地证明了突出肿瘤侵袭性以及监测与疾病进展相关变化的潜力。虽然在研究新试剂、改进DNP过程本身以及开发用于获取和分析数据的高效MR方法方面还有进一步的工作要做,但初步结果非常有前景,并为将癌症视为该技术的首批应用之一提供了强大动力。

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