Quantitative MRI of Glioblastoma Response
Quantitative MRI of Glioblastoma Response
批准号:
8535537
负责人:
BRUCE R ROSEN
金额:
$66.01万
依托单位国家:
美国
项目类别:
财政年份:
2011
资助国家:
美国
项目状态:
已结题
起止时间:
2011-05-06 至 2017-04-30
关键词:
Adverse effectsAlgorithmsAmerican College of Radiology Imaging NetworkBiological MarkersBloodBlood VesselsClinicalClinical TrialsCore-Binding FactorDataDecision MakingDiffusionExtravasationGadoliniumGlioblastomaHumanImageInstructionMagnetic Resonance ImagingMalignant neoplasm of brainMeasurementMethodsMulticenter StudiesNational Cancer InstituteOncologistPatientsPerformancePermeabilityPredispositionPrincipal InvestigatorProcessProgression-Free SurvivalsPropertyPublishingResearchRetrospective StudiesScientistTechniquesThe SunWorkbasebevacizumabcancer therapyclinical decision-makingferumoxytolgadolinium oxideimaging modalityimprovedindexingoutcome forecastprognosticprospectiveresponsesimulationtooltumor
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): Assessment of anti-angiogenic therapies for the most severe form of brain cancer, glioblastoma, is extremely timely given the recent approval of bevacizumab yet the moderate response rate and the challenging side effects of these therapies. Clinical decision-making tools are badly needed; fortunately, our recently published data suggest that measurement of microvascular properties of the tumor using MRI and gadolinium-based approaches could be very useful, as with proper quantitation these methods appear to be capable of serving as an effective prognostic imaging biomarker, and may be beneficially combined with blood biomarkers. We propose to join the NCI's Quantitative Imaging Network (QIN) and develop improved analysis methods for dynamic contrast enhanced MRI and dynamic susceptibility MRI that will improve quantification and decrease variability. We propose to develop techniques that will be applicable in the multicenter setting through a bottom-up approach of simulations, phantom studies, retrospective analysis, and prospective analysis in patients undergoing treatment with anti-angiogenic therapies. We anticipate that our proposed approach, in particular through working in close harmony with the QIN, will improve the reliability of advanced microvascular MRI methods as potential imaging biomarkers, and pave the way for a clinically useful decision-making tool. RELEVANCE (See instructions): Advanced MRI methods may improve our ability to provide an accurate prognosis and potentially guide treatment choices for glioblastoma patients. Our proposed research will help establish a common, standardized approach to acquisition and analysis of two forms of vascular MRI that have shown excellent promise. We will do this by careful reduction of variability and by close participation in the National Cancer Institute's Quantitative Imaging Network. These efforts will enable these advanced techniques to become more widely available and more appropriately establish their benefit to patients.
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Clinical Core
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财政年份:2018
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依托单位:
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海外基金