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.

有关乳房X线摄影筛查建议的持续争议突出了需要在整个乳腺癌筛查过程中的表现提高。虽然乳房几乎没有争论癌症筛查可以降低乳腺癌的死亡率，也很明显，是时候采取更好的方法了筛查利用乳房成像方式，乳腺癌风险评估和患者的进步以较低的成本来取得更好的结果，以较低的成果。该提案宾夕法尼亚州个性化中心乳腺癌筛查将通过开发一个个性化的乳腺癌筛查范例来发展用于预测单个筛查结果的新工具（乳房复杂性指数），评估比较新成像方式（数字乳房合成）对筛选过程和结果的有效性，并制定有效的策略来传达个人利益和替代风险的个人估计筛选方法更好地将个性化信息与知情的患者和提供者的决定联系起来制作。除了这三个高度集成的研究项目外，该中心还将聚集在一起全面的筛查过程和关于74,000名妇女的多样化人群的结果数据在Pennmedlcine综合健康网络中的6个地点进行乳腺癌筛查。除临床外，来自EMR和筛选报告系统的社会人口统计学和筛选数据，该筛选过程文档单位将包括风险因素和其他通过网络收集的患者报告的信息门户和护理点调查，筛查图像，州癌症注册表的癌症结果以及病理记录，宾夕法尼亚州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。拟议中心利用了宾夕法尼亚州的实质专业知识提高个性化筛选范式所需的多个学科（包括乳房成像，初级保健，沟通，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）以及临床领导的承诺（包括 PIS）是Pennmedicine在评估和实施此类范式中的作用。中心将以直接的科学，临床和政策影响解决问题，并为持续了解乳腺癌筛查过程并通过 ProSPR网络。