NSF/FDA SIR: Quantitative Decision Analysis and Utility Assessments for Medical Imaging Technology

NSF/FDA SIR：医学成像技术的定量决策分析和效用评估

• 批准号: 1238502
• 负责人: Craig Abbey
• 金额: $ 10万
• 依托单位: University of California-Santa Barbara
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2012
• 资助国家: 美国
• 起止时间: 2012-07-01 至 2013-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=1238502&HistoricalAwards=false
• 关键词: NSF; FDA; SIR; Quantitative; Decision

ABSTRACT#1238502AbbeyThis proposal investigates the development and analysis of utility based measures of diagnosticperformance for the purpose of technology evaluation, using screening mammography as an example.This approach represents an important departure from the standard analysis, which uses receiver operatingcharacteristic (ROC) curve analysis to obtain area under the curve (AUC) as the study endpoint. Theutility methods confine attention to the most relevant part of the ROC curve. This leads to amore meaningful measure of performance, and also reduces sources of extraneous variabilityrelative to effect size, thereby leading to a more powerful statistical design of experiments.

摘要#1238502 Abbey该提案以筛查性乳腺X线摄影为例，研究了诊断性能的实用性测量方法的开发和分析，该方法与标准分析方法有很大不同，后者使用受试者工作特征（ROC）曲线分析获得曲线下面积（AUC）作为研究终点。 效用方法将注意力限制在ROC曲线的最相关部分。这导致了一个更有意义的性能测量，也减少了与效应大小相关的外来变量的来源，从而导致了一个更强大的实验统计设计。