Generalized Obuchowski-Rockette Methodology for Analysis of Radiologic Diagnostic Imaging Studies
用于分析放射诊断成像研究的广义 Obuchowski-Rockette 方法
基本信息
- 批准号:10172897
- 负责人:
- 金额:$ 49.44万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:2018
- 资助国家:美国
- 起止时间:2018-09-01 至 2023-05-31
- 项目状态:已结题
- 来源:
- 关键词:AccountingAnalysis of CovarianceAnalysis of VarianceBiomedical TechnologyCodeComputer softwareConfounding Factors (Epidemiology)DataData AnalysesData SetDevelopmentDiagnosticDiagnostic ImagingDiagnostic radiologic examinationGoalsHealthLinear RegressionsLocationMethodologyMethodsMissionModalityModelingMultivariate AnalysisNational Institute of Biomedical Imaging and BioengineeringOutcomePatientsPerformancePlayPopulationRadiation Dose UnitReaderReadingReceiver Operating CharacteristicsRegression AnalysisResearchResearch DesignResearch PersonnelRoleStatistical Data InterpretationTestingUnited States National Institutes of HealthValidationdesignexperienceimaging modalityimaging studyimprovedinnovationinterestmodels and simulationradiologistresponsesimulation
项目摘要
Project Summary
Limitations in current statistical analysis methodology for radiologic diagnostic imaging studies greatly
restrict a researcher's choices of study designs and types of analyses. Therefore there is a critical need to cre-
ate a more encompassing multi-reader diagnostic-study analysis methodology that does not limit the ability of
researchers to answer research questions because of strict study-design constraints and few analysis options.
Our long-term goal is to develop statistical methodology and software appropriate for diagnostic radio-
logical imaging studies that accounts for both patient and reader variability. Our objective here is to further de-
velop Obuchowski-Rockette (OR) methodology (and related Dorfman-Berbaum-Metz) software in a way that
allows for many more types of analyses and study designs. Specifically, we will pursue four specific aims: (1)
Develop a generalized OR methodology that accommodates the same types of designs and analysis models
that can currently be used with conventional analysis-of-variance (ANOVA) and linear regression methodology.
(2) Provide illustrative examples showing how the generalized OR methodology can be applied to situations
where the present OR methodology is not applicable. These include unbalanced designs, regression analyses,
multivariate analyses, ANCOVA analyses, partially-paired-reader data, and missing-cases data. (3) Empirically
validate the OR methodology for each example in Aim 2 through simulations. (4) Develop R, MATLAB and
SAS software code for implementing the generalized OR methodology.
Expected outcomes include a generalized OR methodology that has the same analysis and design op-
tions as conventional linear regression and ANOVA methodology, in contrast to present OR methodology. The
methodology will apply to any type of reader performance outcome, including ROC, FROC, region-of-interest
(ROI) and location ROC (LROC), with conclusions generalizing to both cases and readers. Other expected
outcomes include illustrative examples of applications of the methodology that were not previously possible, R,
MATLAB and SAS code for implementing the methodology, and a thorough validation of the methodology.
This research is significant because it will liberate the diagnostic-radiology researcher from the strict
analysis and design limitations of the present methodology, thus enhancing the researcher's ability to assess
the usefulness of imaging modalities and the effects of reader and case attributes on reader performance in an
efficient and meaningful manner. It will be innovative because it will enable new NIH-pertinent horizons that
presently are unattainable because of limited analysis methodology. Presently researchers in diagnostic radi-
ology are greatly constrained in the research questions that they can investigate by the stringent limitations of
the OR (and related DBM) analysis methods. The proposed methodology, by expanding the scope of analyses,
will greatly expand the possible scope of diagnostic radiology research questions that can be investigated.
项目总结
项目成果
期刊论文数量(9)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Estimating latent reader-performance variability using the Obuchowski-Rockette method.
使用 Obuchowski-Rockette 方法估计潜在的读者性能变异性。
- DOI:10.1117/12.2513106
- 发表时间:2019
- 期刊:
- 影响因子:0
- 作者:Hillis,StephenL;Mohammad,BaderaAl;Brennan,PatrickC
- 通讯作者:Brennan,PatrickC
Roe and Metz identical-test simulation model for validating multi-reader methods of analysis for comparing different radiologic imaging modalities.
Roe 和 Metz 相同测试模拟模型,用于验证多读取器分析方法,以比较不同的放射成像模式。
- DOI:10.1117/1.jmi.10.s1.s11916
- 发表时间:2023
- 期刊:
- 影响因子:0
- 作者:Hillis,StephenL
- 通讯作者:Hillis,StephenL
Determining Roe and Metz model parameters for simulating multireader multicase confidence-of-disease rating data based on real-data or conjectured Obuchowski-Rockette parameter estimates.
根据实际数据或推测的 Obuchowski-Rockette 参数估计确定 Roe 和 Metz 模型参数,用于模拟多读者多病例疾病置信度评级数据。
- DOI:10.1117/12.2550541
- 发表时间:2020
- 期刊:
- 影响因子:0
- 作者:Hillis,StephenL
- 通讯作者:Hillis,StephenL
Relationship between Obuchowski-Rockette-Hillis and Gallas methods for analyzing multi-reader diagnostic imaging data with empirical AUC as the reader performance measure.
Obuchowski-Rockette-Hillis 和 Gallas 方法之间的关系,以经验 AUC 作为读取器性能测量来分析多读取器诊断成像数据。
- DOI:10.1080/24709360.2022.2062115
- 发表时间:2023
- 期刊:
- 影响因子:0
- 作者:Hillis,StephenL
- 通讯作者:Hillis,StephenL
Identical-test Roe and Metz simulation model for validating multi-reader methods of analysis for comparing different radiologic imaging modalities.
相同的测试 Roe 和 Metz 模拟模型,用于验证多读取器分析方法,以比较不同的放射成像模式。
- DOI:10.1117/12.2612691
- 发表时间:2022
- 期刊:
- 影响因子:0
- 作者:Hillis,StephenL
- 通讯作者:Hillis,StephenL
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{{ truncateString('Stephen Lawrence Hillis', 18)}}的其他基金
Power and Sample-Size Methodology for Radiology Research
放射学研究的功效和样本量方法
- 批准号:
8451285 - 财政年份:2012
- 资助金额:
$ 49.44万 - 项目类别:
Power and Sample-Size Methodology for Radiology Research
放射学研究的功效和样本量方法
- 批准号:
8302113 - 财政年份:2012
- 资助金额:
$ 49.44万 - 项目类别:
Power and Sample-Size Methodology for Radiology Research
放射学研究的功效和样本量方法
- 批准号:
8634095 - 财政年份:2012
- 资助金额:
$ 49.44万 - 项目类别:
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