Improved Whole-Brain Spectroscopic MRI for Radiation Treatment Planning
Improved Whole-Brain Spectroscopic MRI for Radiation Treatment Planning
批准号:
9791190
负责人:
Lee Cooper
金额:
$78.44万
依托单位:
依托单位国家:
美国
项目类别:
财政年份:
2018
资助国家:
美国
项目状态:
已结题
起止时间:
2018-09-22 至 2021-07-31
关键词:
AchievementAdjuvantAdoptedAdoptionAlgorithmsAreaBrainBrain NeoplasmsBrain imagingCellsCerebrumCholineClinicalClinical ManagementClinical ResearchCollaborationsComputer softwareDataData SetDecision MakingDeltastabDetectionDevelopmentDiseaseDoseEngineeringEnhancing LesionEnrollmentExcisionFrequenciesFutureGenomicsGlioblastomaGliomaGoalsHeadImageInfiltrationInstitutionKnowledgeLeadLeftLipidsMagnetic Resonance ImagingMalignant neoplasm of brainMapsMethodsMorbidity - disease rateMotionMulti-Institutional Clinical TrialN-acetylaspartateNatureNewly DiagnosedOutcomePatientsPatternPerformanceProtocols documentationRadiationRadiation Dose UnitRadiation therapyRecurrenceReproducibilityResearchResolutionSignal TransductionSiteSoftware ToolsTechnologyTestingTimeTissuesTumor VolumeUpdateVisualization softwarebasebrain volumecentral databasechemotherapyclinical imagingcloud baseddata managementdata visualizationdesigneffective therapyhigh riskimaging modalityimprovedmagnetic fieldmortalityreconstructionsoftware systemsspectroscopic imagingstandard of caresubcutaneoussuccesstemozolomidetooltreatment planningtumorweb based interface
中文摘要
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英文摘要
Identifying the extent of glioma tumor margins for radiation treatment planning remains a challenging task due
to the infiltrative nature of these tumors and limitations in current standard imaging methods. Multiple studies
including our own have demonstrated that MR spectroscopic imaging, or spectroscopic MRI (sMRI), can detect
areas of infiltrating tumor with a high degree of sensitivity, and could be an essential tool in treating areas that
lead to early recurrence. sMRI enables the identification of infiltrating cells that are marked by increased
Choline/N-Acetylaspartate ratios, including regions that are not detectable by standard MRI and normally left
untreated. Therefore, sMRI shows considerable promise for improving the efficacy of radiation treatment and
significantly delay recurrence. However, technological improvements are needed before sMRI can be broadly
adopted for clinical use. This study will achieve this goal by leveraging diverse areas of expertise at four
research sites to engineer and validate technological improvements needed to improve sMRI acquisition,
analysis, and clinical integration. These improvements will include new magnet shimming technology to
increase the spatial coverage of sMRI to whole-brain volumes; updated rapid and motion-robust sMRI method
that incorporates compressed sensing to both increase spatial resolution and decrease acquisition times; and
new processing, display, and analysis methods that will present metabolite maps in an efficient manner with a
clinician-friendly web-based interface that enables integration with radiation treatment planning software
systems. The value and efficacy of the technological developments will be validated in a clinical study at the
participating sites that will incorporate sMRI into RT planning for glioblastoma, using an escalated dose for
regions of significantly increased Cho/NAA. The completion of this study will provide robust sMRI acquisition
methods and software tools that will be suitable for clinical use.
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会议论文
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资助金额:$43.09万
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依托单位:
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Cloud strategies for improving cost, scalability, and accessibility of a machine learning system for pathology images
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批准号:10824959
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资助金额:$34.71万
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财政年份:2021
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依托单位:
Informatics Tools for Quantitative Digital Pathology Profiling and Integrated Prognostic Modeling
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批准号:10070213
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财政年份:2018
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依托单位:
Improved Whole-Brain Spectroscopic MRI for Radiation Treatment Planning
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批准号:9981743
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项目类别:
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资助金额:$77.5万
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财政年份:2018
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负责人:Lee Cooper
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依托单位:
Informatics Tools for Quantitative Digital Pathology Profiling and Integrated Prognostic Modeling
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批准号:9929565
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项目类别:
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资助金额:$43.8万
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财政年份:2018
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负责人:Lee Cooper
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依托单位:
Development of automated web-based spectroscopic MRI clinical interface
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批准号:9332618
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资助金额:$23.33万
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财政年份:2017
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负责人:Lee Cooper
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依托单位:
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依托单位:
Multiscale Framework for Molecular Heterogeneity Analysis
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批准号:8897444
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资助金额:$16.07万
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财政年份:2013
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负责人:Lee Cooper
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依托单位:
Multiscale Framework for Molecular Heterogeneity Analysis
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批准号:8710341
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资助金额:$16.23万
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负责人:Lee Cooper
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依托单位:
海外基金