Penn Center for Innovation in Personalized Breast Screening
Penn Center for Innovation in Personalized Breast Screening
批准号:
8538785
负责人:
KATRINA ARMSTRONG
金额:
$133.37万
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:
2011-09-21 至 2016-05-31
关键词:
AddressBackBehaviorBenefits and RisksBioinformaticsBiological MarkersBiometryBiopsyBiostatistics CoreBreastBreast Cancer DetectionCancer DetectionCharacteristicsClinicalCollaborationsCommunicationCommunitiesDNADataData Coordinating CenterDecision AidDecision MakingDigital MammographyDisciplineDocumentationElectronic Health RecordEvaluationGoalsHealthHealth Services ResearchHealthcareHealthcare SystemsImageIndividualInternetInterventionLaboratoriesLeadershipLearningLinkMalignant NeoplasmsMammographyMedical OncologyMedicineModalityModelingNeighborhoodsOutcomePathologyPatient-Centered CarePatientsPennsylvaniaPerformancePoliciesPolicy MakerPopulation HeterogeneityPrimary Health CarePrincipal InvestigatorProcessProviderRecommendationRecordsReportingResearchResearch InfrastructureResearch PersonnelResearch Project GrantsResourcesRiskRisk AssessmentRisk FactorsRoleScreening for cancerSiteSurveysSystemTerminologyTestingTimeTranslatingTrustUniversitiesWomanWorkbasebiobankcancer geneticscancer imagingcancer riskclinical practicecomparative effectivenesscomputer sciencecostdigitalexperiencehealth care service utilizationimaging modalityimprovedindexinginnovationmalignant breast neoplasmmortalityneoplasm registrynew technologynovelnovel strategiesoncologypoint of carescreeningtool
中文摘要
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英文摘要
DESCRIPTION (provided by applicant): The ongoing controversy regarding mammography screening recommendations highlights the need for improved performance across the breast cancer screening process. While there is little debate that breast cancer screening can reduce breast cancer mortality, it is also clear that it is time for better approaches to screening that leverage advances in breast imaging modalities, breast cancer risk assessment and patient centered care to achieve better outcomes at lower cost. This application for a Penn Center for Personalized Breast Cancer Screening will advance a personalized breast cancer screening paradigm by developing a new tool (breast complexity index) for predicting individual screening outcomes, evaluating the comparative effectiveness of a new imaging modality (digital breast tomosynthesis) on screening process and outcomes, and developing effective strategies for communicating individual estimates of benefit and risk of alternative screening approaches to better link individualized information to informed patient and provider decision making. In addition to these three highly integrated research projects, the Center will bring together comprehensive screening process and outcome data on a diverse population of 74,000 women who undergo breast cancer screening at 6 sites within the Penn Medicine integrated health network. In addition to clinical, socio demographic and screening data from EMR and screening reporting systems, this Screening Process Documentation Unit will include risk factor and other patient reported information collected through web portal and point of care surveys, screening images, cancer outcomes from state cancer registries and pathology records, patient neighborhood characteristics from the Penn Cartographic Modeling Laboratory, as well as an ongoing DNA biobank. The proposed Center leverages the substantial expertise at Penn in the multiple disciplines needed to advance a personalized screening paradigm (including breast imaging, primary care, communication, computer science, biostatistics, health services research, bioinformatics, medical oncology, and cancer genetics) as well as the commitment of the clinical leadership (including the Center Principal Investigators) to Penn Medicine's role in the evaluation and implementation of such a paradigm. The Center will address questions with immediate scientific, clinical and policy impact and create an infrastructure for continuous learning about the breast cancer screening process and enabling collaboration through the PROSPR network.
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会议论文
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BIOSTATISTICS
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Novel Imaging Biomarkers for Guiding Personalized Screening Recommendations
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资助金额:$17.03万
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财政年份:2011
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