Spatiotemporal Modeling of MRI Brain Lesion Trajectories of Biomarker Discovery
Spatiotemporal Modeling of MRI Brain Lesion Trajectories of Biomarker Discovery
批准号:
9269638
负责人:
Ani Eloyan
金额:
$23.1万
依托单位国家:
美国
项目类别:
财政年份:
2016
资助国家:
美国
项目状态:
已结题
起止时间:
2016-05-15 至 2018-04-30
关键词:
AddressAffectAreaBioinformaticsBiological MarkersBrainBrain imagingCharacteristicsClinicalClinical TrialsComplexCountryDataData AnalysesData QualityDemyelinationsDevelopmentDiseaseDisease ProgressionEngineeringEpidemiologyEtiologyEvolutionFutureGoalsImageImageryImaging technologyIncidenceInflammatoryLeadLesionLocationMagnetic Resonance ImagingMeasurementMedical ImagingMethodologyMethodsModalityModelingMultimodal ImagingMultiple SclerosisNatural HistoryNecrosisObservational StudyOutcomePathologyPatientsPatternPopulationProcessSamplingSeriesSeverity of illnessStatistical MethodsStatistical ModelsStructureStudy modelsTechniquesTechnologyTimeTissuesanalytical methodbasebioimagingbiomarker developmentbiomarker discoverybiomarker identificationclinical practicecomputer sciencedata structuredesignhigh dimensionalityimaging studyimprovedin vivoinsightlongitudinal analysismagnetic resonance imaging biomarkermultimodalitymultiple sclerosis patientmultiple sclerosis treatmentneuroimagingpublic health relevancerepairedsemiparametricspatiotemporalsuccesssymptomatologytreatment effecttreatment trialwhite matter
中文摘要
描述(由申请人提供):我们建议开发用于分析多发性硬化(MS)患者纵向磁共振成像(MRI)数据的统计方法。从MRI中艾德的疾病生物标志物对于在观察性研究中研究疾病进展和在临床试验中评估治疗效果是必要的。我们提出了纵向MRI强度时间过程的统计分析方法,整合了多种模式的信息。所提出的方法将利用临床MRI的复杂数据结构来识别可用于未来研究的生物标志物,并可在全国的MS中心实施。
英文摘要
DESCRIPTION (provided by applicant): We propose to develop statistical methods for the analysis of longitudinal magnetic reso- nance imaging (MRI) data for patients with multiple sclerosis (MS). Disease biomarkers identified from MRI are necessary for studying disease progression in observational studies and for assessing treatment effects of therapies in clinical trials. We propose statistical methods for the analysis of longitudinal MRI intensity time courses that integrate information across multiple modalities. The proposed methods will harness the complex data structure of clinical MRI for identifying biomarkers that can be utilized in future studies and that are implementable in MS centers across the country.
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会议论文
High-dimensional Modeling of PET for radiomic Biomarker Discovery
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批准号:10686238
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项目类别:
-
资助金额:$70.91万
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财政年份:2022
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负责人:Ani Eloyan
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依托单位:
Project 4 Quantitative Methods for Brain Connectivity Network Estimation & Interference in Functional Magnetic Resonance Imaging
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批准号:10246479
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项目类别:
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资助金额:$39.46万
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财政年份:2013
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负责人:Ani Eloyan
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依托单位:
海外基金