An Imaging Repository for the Cerebrovascular Disease Knowledge Portal (iCDKP)
脑血管疾病知识门户 (iCDKP) 的影像存储库
基本信息
- 批准号:10713160
- 负责人:
- 金额:$ 75.35万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2023
- 资助国家:美国
- 起止时间:2023-09-01 至 2028-08-31
- 项目状态:未结题
- 来源:
- 关键词:AccelerationAcuteAffectBiologicalBrainBrain EdemaBrain IschemiaBrain hemorrhageBrain imagingCause of DeathCerebrovascular DisordersChronicClinicalClinical DataClinical InvestigatorCommunitiesConsultationsDataData ScientistData SetDeteriorationEdemaEducational workshopEnsureEthicsFAIR principlesFaceFundingFutureGeneticGenomicsGrantGrowthGuidelinesHemorrhageHuman GeneticsImageIndividualInfarctionInfrastructureIngestionInjuryInternationalIschemiaKnowledge PortalLeadLettersLicensingLinkLocationMRI ScansMagnetic Resonance ImagingMedical Care CostsMetadataMissionMonitorMorbidity - disease rateNamesNational Institute of Neurological Disorders and StrokeOnline SystemsPathway interactionsPatientsPersonsPharmacotherapyPhenotypePhysiologyPoliciesPopulation HeterogeneityPreventionProceduresProcessProcess MeasureQuality ControlRecoveryReproducibilityResearchResearch PersonnelResourcesSample SizeStandardizationStrokeStroke preventionStructureTimeTissuesTrainingU-Series Cooperative AgreementsUnderserved PopulationUnited States National Institutes of HealthUniversitiesWashingtonX-Ray Computed Tomographybrain tissuecerebrovascularcerebrovascular imagingcommunity engaged researchdata harmonizationdata managementdata privacydata repositorydata reusedata sharingdata submissiondigitaldisabilitydrug candidateeffective therapygenomic dataimage archival systemimaging modalityinsightneuroimagingnovelopen dataopen sourceoutreachphenotypic dataprogramsrepositoryresponseresponse to brain injuryrisk variantserial imagingstroke incidencestroke patientstroke therapysymposiumusabilityvascular cognitive impairment and dementia
项目摘要
PROJECT ABSTRACT
Stroke is the world’s second-leading cause of death. By 2030 an estimated 122.4 million people world-wide will
be affected while stroke-related medical costs in the US alone are projected to exceed $180 billion. Furthermore,
stroke itself is only the most acute manifestation of cerebrovascular disease, which also causes chronic
progressive deterioration in brain function, including vascular contributions to cognitive impairment and dementia
(VCID). Despite a pressing need for novel treatments, the precise biological pathways that lead to brain ischemia
and hemorrhage, the response of the brain to injury, and the brain’s capacity for recovery remain poorly
understood. Imaging provides crucial and quantifiable measures of these processes. Without imaging it is
impossible to characterize the location of the brain affected, quantity of brain tissue involved, or amount of brain
swelling/edema. Furthermore, serial images of the same patient over time capture dynamic physiology such as
infarct growth or hemorrhage growth, which are both crucial to studying injury and recovery. The International
Stroke Genetics Consortium (ISGC) was founded to harness human genetics to identify novel biological
pathways that can ultimately lead to effective treatments for stroke. Indeed, candidate drug treatments supported
by evidence from human genetics are substantially more likely to achieve FDA approval. The ISGC’s
commitment to large harmonized data sets, open data sharing and collaborative culture has led to the discovery
of all of the robustly supported risk genes for common forms of stroke to date, many of which are already being
studied as the basis for novel treatments. In 2017 the ISGC launched the Cerebrovascular Disease Knowledge
Portal (CDKP) (R24NS092983) to share genetic data freely with the research community in a manner adherent
to FAIR Data Principles. A major limitation of this resource is the absence of brain images. For this proposed
biomedical data repository cooperative agreement (U24) we will aggregate brain imaging and genetic data
according to FAIR data principles from an estimated 30,000 individuals with stroke and share these data
according to FAIR data principles. Building on the established Stroke Neuro-Imaging Phenotype Repository
(SNIPR) at Washington University, our program will transform the CDKP into the imaging CDKP (iCDKP),
providing the global community with a single FAIR access point to genetic, phenotypic, and imaging data.
Milestone-driven aims will: 1) Aggregate high value stroke imaging datasets from across the international
investigator community; 2) Implement FAIR data sharing practices and procedures; 3) Engage the research
community with repository. Our team, led by the PIs for CDKP and SNIPR is well-situated to execute this project
given that we have developed this proposal in consultation with the international stroke research community to
ensure broad support and maximum response to their anticipated needs.
项目摘要
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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Daniel Scott Marcus其他文献
Daniel Scott Marcus的其他文献
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{{ truncateString('Daniel Scott Marcus', 18)}}的其他基金
THE INFORMATICS, DATA ANALYSIS, AND STATISTICS CORE (IDASC)
信息学、数据分析和统计核心 (IDASC)
- 批准号:
10283066 - 财政年份:2021
- 资助金额:
$ 75.35万 - 项目类别:
Sustaining the Integrative Imaging Informatics for Cancer Research (I3CR) Center
维持癌症研究综合成像信息学 (I3CR) 中心
- 批准号:
10187782 - 财政年份:2021
- 资助金额:
$ 75.35万 - 项目类别:
Sustaining the Integrative Imaging Informatics for Cancer Research (I3CR) Center
维持癌症研究综合成像信息学 (I3CR) 中心
- 批准号:
10608104 - 财政年份:2021
- 资助金额:
$ 75.35万 - 项目类别:
Sustaining the Integrative Imaging Informatics for Cancer Research (I3CR) Center
维持癌症研究综合成像信息学 (I3CR) 中心
- 批准号:
10385856 - 财政年份:2021
- 资助金额:
$ 75.35万 - 项目类别:
THE INFORMATICS, DATA ANALYSIS, AND STATISTICS CORE (IDASC)
信息学、数据分析和统计核心 (IDASC)
- 批准号:
10673897 - 财政年份:2021
- 资助金额:
$ 75.35万 - 项目类别:
A High Performance Research Image Repository (RIR) for the Washington University Center of High Performance Computing (CHPC)
华盛顿大学高性能计算中心 (CHPC) 的高性能研究图像存储库 (RIR)
- 批准号:
10177147 - 财政年份:2021
- 资助金额:
$ 75.35万 - 项目类别:
Development of an Open-Source Preclinical Imaging Informatics Platform for Cancer Research
开发用于癌症研究的开源临床前成像信息学平台
- 批准号:
10474402 - 财政年份:2020
- 资助金额:
$ 75.35万 - 项目类别:
IMAT‐ITCR Collaboration: Preclinical Evaluation of Novel Bisphosphonate PET Probes for Myeloma Bone Disease
IMAT-ITCR 合作:新型双膦酸盐 PET 探针治疗骨髓瘤骨病的临床前评估
- 批准号:
10461632 - 财政年份:2020
- 资助金额:
$ 75.35万 - 项目类别:
Development of an Open-Source Preclinical Imaging Informatics Platform for Cancer Research
开发用于癌症研究的开源临床前成像信息学平台
- 批准号:
10685380 - 财政年份:2020
- 资助金额:
$ 75.35万 - 项目类别:
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