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Penn Center for Innovation in Personalized Breast Screening

宾夕法尼亚大学个性化乳房筛查创新中心

基本信息

批准号：
8568112
负责人：
KATRINA ARMSTRONG
金额：
$ 14.7万
依托单位：
UNIVERSITY OF PENNSYLVANIA
依托单位国家：
美国
项目类别：
财政年份：
2012
资助国家：
美国
起止时间：
2012-09-01 至 2016-05-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8568112
关键词：
Address Back Behavior Benefits and Risks Bioinformatics Biological Markers Biometry Biopsy Biostatistics Core Breast Breast Cancer Detection Cancer Detection Characteristics Clinical Collaborations Communication Communities DNA Data Data Coordinating Center Decision Aid Decision Making Digital Mammography Discipline Documentation Electronic Health Record Evaluation Goals Health Health Services Research Healthcare Healthcare Systems Image Individual Internet Intervention Laboratories Leadership Learning Link Malignant Neoplasms Mammography Medical Oncology Medicine Modality Modeling Neighborhoods Outcome Pathology Patient-Centered Care Patients Pennsylvania Performance Policies Policy Maker Population Heterogeneity Primary Health Care Process Provider Recommendation Records Reporting Research Research Infrastructure Research Personnel Research Project Grants Resources Risk Risk Assessment Risk Factors Role Screening for cancer Screening procedure Site Surveys System Terminology Testing Time Translating Trust Universities Woman Work base biobank cancer genetics cancer imaging cancer risk clinical practice comparative effectiveness computer science cost digital experience health care service utilization imaging modality improved indexing innovation malignant breast neoplasm mortality neoplasm registry new technology novel novel strategies oncology point of care tool

项目摘要

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 proposal 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 PennMedlcine integrated health network. In addition to clinical, sociodemographic 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 Pis) to PennMedicine'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.

关于乳房X光检查筛查建议的持续争议强调了以下方面的必要性：提高整个乳腺癌筛查过程的绩效。虽然几乎没有争论，乳房癌症筛查可以降低乳腺癌死亡率，同样清楚的是，现在是时候采取更好的方法，利用乳腺成像模式、乳腺癌风险评估和患者以更低的成本获得更好的结果。宾夕法尼亚大学个性化治疗中心的提案乳腺癌筛查将通过开发一个个性化的乳腺癌筛查模式，用于预测个体筛查结果、评估比较结果的新工具（乳房复杂性指数）新成像模式（数字乳腺断层合成）对筛查过程和结果的有效性，制定有效的战略，以传达对替代品的效益和风险的个人估计，筛选方法，以更好地将个性化信息与知情的患者和提供者决定联系起来制作。除了这三个高度综合的研究项目外，中心还将汇集对74，000名女性进行全面的筛查过程和结果数据，在PennMedlcine综合健康网络内的6个站点进行乳腺癌筛查。除了临床，来自EMR和筛查报告系统的社会人口统计学和筛查数据，文件部门将包括通过网络收集的风险因素和其他患者报告的信息门户网站和护理点调查，筛查图像，来自国家癌症登记处的癌症结局，病理学记录，宾夕法尼亚制图建模实验室的患者邻居特征，以及正在进行的DNA生物库拟议的中心利用宾夕法尼亚大学在以下方面的大量专业知识：需要多个学科来推进个性化的筛查范例（包括乳房成像，初级保健，通信，计算机科学，生物统计学，卫生服务研究，生物信息学，医学肿瘤学和癌症遗传学）以及临床领导层（包括 Center Pis）对PennMedicine在评估和实施此类范式中的作用表示赞赏。该中心将解决具有直接科学、临床和政策影响的问题，并为以下方面建立基础设施：持续了解乳腺癌筛查过程，并通过 PROSPR网络。