vascuCAP: Non-invasive Computer-Aided Phenotyping of Vasculopathy
vascuCAP:血管病的非侵入性计算机辅助表型分析
基本信息
- 批准号:8981985
- 负责人:
- 金额:$ 79.88万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2015
- 资助国家:美国
- 起止时间:2015-09-01 至 2017-06-30
- 项目状态:已结题
- 来源:
- 关键词:AdoptionAnimal ModelAnimalsAppearanceArchitectureArterial Fatty StreakArteriesAtherosclerosisAutopsyBiological FactorsBiological MarkersBloodBlood VesselsBostonCardiovascular DiseasesCarotid ArteriesCharacteristicsClinicalClinical ChemistryCollectionComplexComputer AssistedCoronary ArteriosclerosisCoronary arteryDataData SetDecision MakingDetectionDiagnosisDiagnosticDiseaseEndarterectomyEnrollmentEventFeasibility StudiesFinancial compensationGoalsHistologyHumanImageImage AnalysisIndividualInstitutional Review BoardsIonizing radiationLeadLesionLipidsLouisianaMagnetic Resonance ImagingManualsMarketingMeasurementMeasuresMedical centerMethodsModalityMonitorMorphologic artifactsMotionMyocardial InfarctionPatientsPerformancePeripheralPeripheral Vascular DiseasesPharmaceutical PreparationsPhasePhenotypePilot ProjectsPreparationProcessProviderResearch PersonnelResolutionSeveritiesSiteSmall Business Innovation Research GrantSpecimenSpeedStenosisStrokeStructureTherapeuticTimeTissuesTranslatingTranslationsUltrasonographyUniversitiesVascular DiseasesWorkX-Ray Computed Tomographybasebioimagingcare burdencomputerizeddrug developmentfemoral arteryimaging Segmentationimaging biomarkerimaging modalityimprovedmembernovel therapeuticspersonalized medicinephase 2 studyprospectivepublic health relevancequantitative imagingresponsespatiotemporalsuccess
项目摘要
DESCRIPTION (provided by applicant): Vasculopathy encompasses a group of vascular diseases, which includes atherosclerosis, a major disease with enormous societal impact. Atherosclerosis is implicated in many cardiovascular diseases including myocardial infarction, peripheral vascular disease, and stroke. Approaches have been proposed for improving diagnostics, where inconclusive or misleading information can lead to under- and over-treatment. Additionally, better biomarkers are needed for use in developing more effective drugs for vasculopathies. Arterial stenosis as a biomarker is a poor predictor of events, yet it remains in common use. This burdens care providers with high misclassification rates. Detection of the so-called "vulnerable" plaque has demonstrated promise, but it is not without controversy and may be unlikely to achieve widespread adoption because it still relies on detecting one or a handful of "surrogate" features, that are based on limited autopsy studies. Elucid Bioimaging's vascuCAP (CAP stands for Computer Aided Phenotyping) processes magnetic resonance imaging (MRI) and/or computed tomography (CT), both of which are routinely used in vascular diagnostics. CAP aids the clinician with a multi-factorial quantitative imaging biomarker panel of specific, biologically-objective, and continuous-valued measurements such as distribution of lipid core and other determinants of lesion phenotype and severity. Recognizing the pros and cons of different imaging modalities with respect to any given patient's needs, vascuCAP is developed as a multi-modality analysis capability that maximizes the information content from whatever modality is available for that patient, whether CT (which is fast and generally leads to the most accurate measurements of structure but which utilizes ionizing radiation) or MR (which is currently most capable of measuring composition, avoids ionizing radiation, but takes more time to acquire). Our primary goal is to improve patient management by aiding therapeutic decision-making for both symptomatic and asymptomatic patients by combining the vascuCAP analysis of vascular imaging with the other objective patient data, i.e. clinical chemistry and other blood biomarkers. It may also be used to improve speed and efficiency in developing new therapeutics. We have recently completed feasibility studies in both animal models as well as human atherosclerosis that serve as the scientific rationale for the proposed study. This Phase II study will determine the MRI and CT characteristics of atherosclerotic plaques and compare them to reference truth standards including histopathological analyses of arterial endarterectomy specimens. We have established probable clinical utility in animal models as well as in human studies. This Phase II SBIR study will determine the degree to which vascuCAP analysis results, obtained in larger numbers of carotid and peripheral arteries, are similar to those obtained on ex-vivo histology and whether relevant reference measurements in the coronary arteries are in accordance with prior feasibility studies.
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(4)
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Andrew John Buckler其他文献
Andrew John Buckler的其他文献
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{{ truncateString('Andrew John Buckler', 18)}}的其他基金
Plaque Risk Stratification Using Routinely Available CCTA to Optimize Therapeutic Decision-making in Patients with Known or Suspected Coronary Artery Disease
使用常规 CCTA 进行斑块风险分层,优化已知或疑似冠状动脉疾病患者的治疗决策
- 批准号:
9752019 - 财政年份:2015
- 资助金额:
$ 79.88万 - 项目类别:
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