Hyperpolarized C-13 Diffusion MRI Measures of Cellular Transport and Metabolism
细胞运输和代谢的超极化 C-13 扩散 MRI 测量
基本信息
- 批准号:8928613
- 负责人:
- 金额:$ 49万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2014
- 资助国家:美国
- 起止时间:2014-09-17 至 2018-05-31
- 项目状态:已结题
- 来源:
- 关键词:AffectAngiographyApoptosisBiological MarkersBiomedical EngineeringBioreactorsBlood VesselsCancer BiologyCancer ModelCancer PatientCancerousCarrier ProteinsCell ProliferationCell modelCellsCellularityClinicalClinical ProtocolsClinical TrialsCoupledDataDependenceDevelopmentDiagnosticDiffusionDiffusion Magnetic Resonance ImagingDiseaseDisease ProgressionDoseEnvironmentEnzymesGoalsHealthHealthcareHistologicImageInjection of therapeutic agentKidney FailureKineticsLabelLactate DehydrogenaseLiver diseasesMagnetic Resonance ImagingMagnetic Resonance SpectroscopyMalignant NeoplasmsMalignant neoplasm of prostateMass Spectrum AnalysisMeasurementMeasuresMediatingMedical ImagingMetabolicMetabolismMetastatic toMethodsModelingMotivationMusNecrosisNormal tissue morphologyNuclearOutcomePathologicPatientsPerfusionPyruvateReproducibilitySeverity of illnessSignal TransductionStagingSystemTechniquesTestingTissuesTranslatingTranslationsTumor TissueWarburg Effectbasecancer cellcancer imagingcancer typedesigndiffusion weightedimaging biomarkerimaging modalityimprovedin vivoinhibitor/antagonistinterstitialnon-alcoholic fatty livernon-invasive imagingnovelpre-clinicalpreclinical studyresearch studyresponsetransgenic adenocarcinoma of mouse prostatetumortumor progression
项目摘要
DESCRIPTION (provided by applicant): This project consists of both (1) the technical development of novel bioengineering methods for non-invasive imaging of metabolite transport and metabolism and (2) the application of these methods to study cancer biology. The non-invasive imaging is based on the emerging field of hyperpolarized MRI, which is providing valuable new metabolic information for cancer imaging applications. Using this technique, we are able to greatly increase the MR signal of injected substrates, facilitating the ability to acqure fast metabolic data in seconds. The translation potential of this technique has been demonstrated by the first clinical trial in prostate cancer patients with hyperpolarized pyruvate recently completed by our group. Unlike previous hyperpolarized imaging methods, which only probe metabolic conversions, the proposed projects use diffusion-weighted imaging in order to additionally characterize transport of pyruvate and its metabolic product, lactate. This is of grea biomedical importance since the transport of lactate out of cells has promise for predicting aggressiveness of cancer, progression to metastatic disease and response to therapy, as this creates an acidic environment. There are currently no non-invasive imaging methods to measure metabolite transport in vivo. The developments in this proposal are designed specifically to provide and test such methods. This proposal includes cell studies to measure the mechanisms of cellular transport-mediated contrast, preclinical studies to evaluate diffusivity as a biomarker for transport and metabolism in vivo, and development of a novel hyperpolarized diffusion-weighted imaging method that can be translated into the clinical setting for improved characterization of tumor aggressiveness. Both the cell and preclinical studies also require development of specialized hyperpolarized 13C diffusion-weighted methods because, unlike conventional MRI, the signal decay is rapid and unrecoverable. These studies will use cancer cells and cancer models to evaluate tumor characterization capabilities, and the results will be used to design an optimized clinical protocol, which will be validated through preclinical studies.
The proposed novel techniques have the potential to transform tumor characterization through improved prediction of aggressiveness and progression to metastatic disease.
项目描述(由申请人提供):本项目包括(1)新型生物工程方法的技术开发,用于代谢物运输和代谢的无创成像,以及(2)这些方法在癌症生物学研究中的应用。非侵入性成像是基于超极化MRI这一新兴领域,它为癌症成像应用提供了有价值的新代谢信息。使用这种技术,我们能够大大增加注射底物的MR信号,便于在几秒钟内获得快速代谢数据。该技术的翻译潜力已由我们小组最近完成的对超极化丙酮酸前列腺癌患者的首次临床试验证明。与以往仅探测代谢转化的超极化成像方法不同,该项目使用弥散加权成像来额外表征丙酮酸及其代谢产物乳酸的转运。这在生物医学上具有重要意义,因为乳酸盐从细胞中转运出来有望预测癌症的侵袭性、转移性疾病的进展和对治疗的反应,因为这创造了一个酸性环境。目前还没有无创成像方法来测量体内代谢物的转运。本提案的发展是专门为提供和测试这些方法而设计的。该建议包括细胞研究,以测量细胞运输介导的对比机制,临床前研究,以评估扩散率作为体内运输和代谢的生物标志物,以及开发一种新型超极化扩散加权成像方法,该方法可以转化为临床环境,以改善肿瘤侵袭性的表征。细胞和临床前研究还需要开发专门的超极化13C扩散加权方法,因为与传统MRI不同,信号衰减迅速且不可恢复。这些研究将使用癌细胞和癌症模型来评估肿瘤表征能力,并将结果用于设计优化的临床方案,通过临床前研究对其进行验证。
项目成果
期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
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Peder Eric Zufall Larson其他文献
Peder Eric Zufall Larson的其他文献
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{{ truncateString('Peder Eric Zufall Larson', 18)}}的其他基金
Translating Hyperpolarized 13C Metabolic MRI to Predict Renal Tumor Aggressiveness
转化超极化 13C 代谢 MRI 来预测肾肿瘤的侵袭性
- 批准号:
10543731 - 财政年份:2021
- 资助金额:
$ 49万 - 项目类别:
Translating Hyperpolarized 13C Metabolic MRI to Predict Renal Tumor Aggressiveness
转化超极化 13C 代谢 MRI 来预测肾肿瘤的侵袭性
- 批准号:
10318924 - 财政年份:2021
- 资助金额:
$ 49万 - 项目类别:
Hyperpolarized 13C Metabolic MRI for Noninvasive Monitoring of Kidney Injury
超极化 13C 代谢 MRI 用于无创监测肾损伤
- 批准号:
10288911 - 财政年份:2021
- 资助金额:
$ 49万 - 项目类别:
Translating Hyperpolarized 13C Metabolic MRI to Predict Renal Tumor Aggressiveness
转化超极化 13C 代谢 MRI 来预测肾肿瘤的侵袭性
- 批准号:
10741013 - 财政年份:2021
- 资助金额:
$ 49万 - 项目类别:
Hyperpolarized 13C Metabolic MRI for Noninvasive Monitoring of Kidney Injury
超极化 13C 代谢 MRI 用于无创监测肾损伤
- 批准号:
10449286 - 财政年份:2021
- 资助金额:
$ 49万 - 项目类别:
Translating Hyperpolarized 13C Metabolic MRI to Predict Renal Tumor Aggressiveness
转化超极化 13C 代谢 MRI 来预测肾肿瘤的侵袭性
- 批准号:
10597761 - 财政年份:2021
- 资助金额:
$ 49万 - 项目类别:
Novel Ultrashort Echo Time Sequences for Brain MRI
用于脑 MRI 的新型超短回波时间序列
- 批准号:
9112765 - 财政年份:2016
- 资助金额:
$ 49万 - 项目类别:
Hyperpolarized C-13 Diffusion MRI Measures of Cellular Transport and Metabolism
细胞运输和代谢的超极化 C-13 扩散 MRI 测量
- 批准号:
9058043 - 财政年份:2014
- 资助金额:
$ 49万 - 项目类别:
Hyperpolarized C-13 Diffusion MRI Measures of Cellular Transport and Metabolism
细胞运输和代谢的超极化 C-13 扩散 MRI 测量
- 批准号:
8632695 - 财政年份:2014
- 资助金额:
$ 49万 - 项目类别:
Hyperpolarized C-13 MR Pulse Sequence Developments for Novel Contrast
用于新型对比度的超极化 C-13 MR 脉冲序列开发
- 批准号:
8327061 - 财政年份:2011
- 资助金额:
$ 49万 - 项目类别:
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