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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：
8336836
负责人：
KATRINA ARMSTRONG
金额：
$ 103.89万
依托单位：
UNIVERSITY OF PENNSYLVANIA
依托单位国家：
美国
项目类别：
财政年份：
2011
资助国家：
美国
起止时间：
2011-09-21 至 2016-05-31
项目状态：
已结题

来源：
https://reporter.nih.gov/project-details/8336836
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 Principal Investigator 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

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.

描述（由申请人提供）：关于乳房X线摄影筛查建议的持续争议突出了在整个乳腺癌筛查过程中提高性能的必要性。虽然乳腺癌筛查可以降低乳腺癌死亡率这一点几乎没有争议，但同样清楚的是，现在是时候采取更好的筛查方法，利用乳腺成像模式，乳腺癌风险评估和以患者为中心的护理的进步，以更低的成本实现更好的结果。宾夕法尼亚大学个性化乳腺癌筛查中心的这一申请将通过开发一种新工具来推进个性化乳腺癌筛查模式（乳腺复杂性指数）用于预测个体筛查结果，评估新成像方式的比较有效性（数字乳腺断层合成）对筛查过程和结果的影响，以及制定有效的策略，用于传达替代筛查方法的获益和风险的个体估计，以更好地将个性化信息与知情的患者和提供者决策联系起来。除了这三个高度整合的研究项目外，该中心还将汇集宾夕法尼亚医学综合健康网络内6个站点接受乳腺癌筛查的74，000名女性的综合筛查过程和结果数据。除了来自EMR和筛查报告系统的临床、社会人口统计学和筛查数据外，该筛查过程文件单元还将包括通过门户网站和护理点调查收集的风险因素和其他患者报告的信息、筛查图像、来自州癌症登记处和病理学记录的癌症结局、来自Penn制图建模实验室的患者社区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推进个性化筛查模式所需的多个学科中的大量专业知识（包括乳腺成像，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）以及临床领导层的承诺（包括中心的主要研究者），以宾夕法尼亚大学医学的作用，在评估和实施这样的一个范例。该中心将解决具有直接科学，临床和政策影响的问题，并建立一个基础设施，以持续了解乳腺癌筛查过程，并通过PROSPR网络进行合作。