New Risk Assessment Paradigm to Predict Screening Detection, Failures and False Alarms
新的风险评估范式可预测筛查检测、故障和误报
基本信息
- 批准号:9279002
- 负责人:
- 金额:$ 29.69万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2017
- 资助国家:美国
- 起止时间:2017-07-01 至 2022-05-31
- 项目状态:已结题
- 来源:
- 关键词:Advisory CommitteesAgeAmerican Cancer SocietyBenignBiopsyBreast Cancer DetectionBreast Cancer Risk FactorBreast Cancer Surveillance ConsortiumCancer BiologyCessation of lifeClinicalClinical/RadiologicCommunity PracticeCommunity of PracticeConsensusDataDecision MakingDetectionDigital Breast TomosynthesisDigital MammographyDiseaseEarly DiagnosisEffectivenessEthnic OriginFailureFrequenciesGeneral PopulationGoalsGuidelinesHarm ReductionHealth PersonnelHeterogeneityHigh Risk WomanIncidenceIndividualLifeMalignant NeoplasmsMammographyMasksModalityModelingMovementNoninfiltrating Intraductal CarcinomaOutcomeOutputPopulationPreventive servicePrimary Health CareProviderRaceRadiation exposureRadiation-Induced CancerRecommendationRegimenResearch InfrastructureResearch PersonnelRiskRisk AssessmentRisk EstimateRisk FactorsStatistical MethodsSubgroupSurveysTestingWomanWomen&aposs Healthadvanced diseaseagedbasebreast densitycancer invasivenesscancer riskclinical imagingclinical practiceclinically actionablecomparative effectivenesscompare effectivenesscostdigitaldiscrete timeexperiencehigh riskimprovedinnovationlifetime riskmalignant breast neoplasmmodels and simulationmortalitynovelpersonalized decisionpredictive modelingpreferenceradiologistscreeningsecondary outcometomosynthesistumor
项目摘要
PROJECT SUMMARY – Project 1
The 2016 US Preventive Services Task Force and 2015 American Cancer Society guidelines call for reduced screening intensity and for providers to discuss with women their preferences for screening. This push for individualized decision-making has triggered substantial movement toward risk-based screening utilization that does not rely solely on a woman's age to determine when to start and stop screening or screening frequency. Yet, the explicit incorporation of risk assessment into screening guidelines for the general population is in its early stages. Risk prediction is a key aspect of risk-based screening; available models predict breast cancer risk overall, but do not take into account the heterogeneity of breast cancer biology or the ability of screening modalities to detect breast cancer. Project 1 aims to advance a new risk-based screening paradigm that identifies women's absolute cumulative risk of screening detection, failures, and false alarms while explicitly considering screening interval and modality used.
Aim 1) Using the existing and expanded Breast Cancer Surveillance Consortium (BCSC) infrastructure, project investigators will develop new risk prediction models to identify women at high risk of: 1) early-stage screen-detected cancer (stage I/IIa invasive cancer), 2) screening failure (interval invasive cancer or screen-detected stage IIb or higher), and 3) false alarms (false-positive tests and benign biopsies). Using BCSC data on over 1,000,000 women aged 40-79 years undergoing digital mammography or tomosynthesis, and over 13,000 invasive breast cancers identified, the project team will identify clinical and imaging factors associated with breast cancer risk that impact screening outcomes, generating six-year risk estimates for each screening outcome for annual, biennial, and triennial screening regimens.
Aim 2) The project team will identify actionable levels of clinically-meaningful risk of screening failure and false alarm, and associated long-term screening outcomes using women and clinician surveys and Delphi panels.
This proposal will answer: 1) Which women are at high risk of screening failures and require an alternative strategy to biennial mammography, and which women are at low risk and can be screened less often? 2) What risk levels of poor screening outcomes impact women and clinician preferences for screening strategies?
This project will provide evidence to guide women, health care providers, and policymakers on screening strategies based on short-term risk of screening failures and false alarms with the goal to improve early detection of aggressive tumors while minimizing harms.
项目总结-项目一
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(0)
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KARLA M KERLIKOWSKE其他文献
KARLA M KERLIKOWSKE的其他文献
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{{ truncateString('KARLA M KERLIKOWSKE', 18)}}的其他基金
Hawaii Pacific Islands Mammography Registry
夏威夷太平洋岛屿乳腺X线摄影登记处
- 批准号:
10819068 - 财政年份:2023
- 资助金额:
$ 29.69万 - 项目类别:
Hawaii Pacific Islands Mammography Registry
夏威夷太平洋岛屿乳腺X线摄影登记处
- 批准号:
10588112 - 财政年份:2023
- 资助金额:
$ 29.69万 - 项目类别:
Evaluation of novel tomosynthesis density measures in breast cancer risk prediction
新型断层合成密度测量在乳腺癌风险预测中的评价
- 批准号:
10680241 - 财政年份:2023
- 资助金额:
$ 29.69万 - 项目类别:
New Risk Assessment Paradigm to Predict Screening Detection, Failures and False Alarms
新的风险评估范式可预测筛查检测、故障和误报
- 批准号:
9982825 - 财政年份:2020
- 资助金额:
$ 29.69万 - 项目类别:
Radiomic phenotypes of breast parenchyma and association with breast cancer risk and detection
乳腺实质的放射组学表型及其与乳腺癌风险和检测的关联
- 批准号:
9897495 - 财政年份:2017
- 资助金额:
$ 29.69万 - 项目类别:
Automated Density Measures for Estimating Breast Cancer Risk and Therapy Response
用于估计乳腺癌风险和治疗反应的自动密度测量
- 批准号:
8913697 - 财政年份:2013
- 资助金额:
$ 29.69万 - 项目类别:
Automated Density Measures for Estimating Breast Cancer Risk and Therapy Response
用于估计乳腺癌风险和治疗反应的自动密度测量
- 批准号:
8601620 - 财政年份:2013
- 资助金额:
$ 29.69万 - 项目类别:
Automated Density Measures for Estimating Breast Cancer Risk and Therapy Response
用于估计乳腺癌风险和治疗反应的自动密度测量
- 批准号:
8693976 - 财政年份:2013
- 资助金额:
$ 29.69万 - 项目类别:
Automated Density Measures for Estimating Breast Cancer Risk and Therapy Response
用于估计乳腺癌风险和治疗反应的自动密度测量
- 批准号:
9120340 - 财政年份:2013
- 资助金额:
$ 29.69万 - 项目类别:
Advancing Equitable Risk-based Breast Cancer Screening and Surveillance in Community Practice
在社区实践中推进基于风险的公平乳腺癌筛查和监测
- 批准号:
10411220 - 财政年份:2011
- 资助金额:
$ 29.69万 - 项目类别:
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