氘 MR 光谱:在肿瘤研究中的潜在应用。

BJR open Pub Date : 2024-08-05 eCollection Date: 2024-01-01 DOI:10.1093/bjro/tzae019
Almir Galvão Vieira Bitencourt, Arka Bhowmik, Eduardo Flavio De Lacerda Marcal Filho, Roberto Lo Gullo, Yousef Mazaheri, Panagiotis Kapetas, Sarah Eskreis-Winkler, Robert Young, Katja Pinker, Sunitha B Thakur
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摘要

长期以来,临床实践中的代谢成像一直依赖于使用放射性示踪剂氟脱氧葡萄糖(FDG)进行正电子发射计算机断层成像。然而,这种传统方法存在固有的局限性,如暴露于电离辐射和潜在的诊断不确定性,尤其是在大脑等葡萄糖摄取量较高的器官中。这篇综述强调了传统氘磁共振波谱(MRS)与梯度技术相结合后的变革潜力,最终形成了一种先进的代谢成像模式,即氘磁共振成像(DMRI)。虽然超极化 MRS 的最新进展为代谢分析带来了希望,但其广泛的临床应用却受到成本限制和超极化器设备或设施可用性的阻碍。DMRI 也称为氘代谢成像(DMI),是一种开创性的单次无创范例,它将传统 MRS 与非放射性氘标记底物融合在一起。DMI 在动物模型和病人群体中,特别是在脑肿瘤病例中进行了广泛测试,其突出特点是能与标准临床 MRI 扫描仪无缝集成,只需稍作调整,如将射频线圈调谐到氘频率。DMRI 是量化临床肿瘤学中关键代谢物(包括葡萄糖、乳酸、谷氨酸、谷氨酰胺)和 IDH 突变特征的多功能工具。它在这一领域的潜在应用非常广泛,包括诊断剖析、治疗反应监测以及确定不同癌症亚型的新型治疗靶点。
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Deuterium MR spectroscopy: potential applications in oncology research.

Metabolic imaging in clinical practice has long relied on PET with fluorodeoxyglucose (FDG), a radioactive tracer. However, this conventional method presents inherent limitations such as exposure to ionizing radiation and potential diagnostic uncertainties, particularly in organs with heightened glucose uptake like the brain. This review underscores the transformative potential of traditional deuterium MR spectroscopy (MRS) when integrated with gradient techniques, culminating in an advanced metabolic imaging modality known as deuterium MRI (DMRI). While recent advancements in hyperpolarized MRS hold promise for metabolic analysis, their widespread clinical usage is hindered by cost constraints and the availability of hyperpolarizer devices or facilities. DMRI, also denoted as deuterium metabolic imaging (DMI), represents a pioneering, single-shot, and noninvasive paradigm that fuses conventional MRS with nonradioactive deuterium-labelled substrates. Extensively tested in animal models and patient cohorts, particularly in cases of brain tumours, DMI's standout feature lies in its seamless integration into standard clinical MRI scanners, necessitating only minor adjustments such as radiofrequency coil tuning to the deuterium frequency. DMRI emerges as a versatile tool for quantifying crucial metabolites in clinical oncology, including glucose, lactate, glutamate, glutamine, and characterizing IDH mutations. Its potential applications in this domain are broad, spanning diagnostic profiling, treatment response monitoring, and the identification of novel therapeutic targets across diverse cancer subtypes.

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