Reader Accuracy in Pathology Interpretation and Diagnosis: Perception and Cognition (RAPID-PC)
病理解释和诊断的读者准确性:感知和认知 (RAPID-PC)
基本信息
- 批准号:10165663
- 负责人:
- 金额:$ 63.16万
- 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:2018-06-12 至 2023-05-31
- 项目状态:已结题
- 来源:
- 关键词:BehaviorBreast DiseasesBreast biopsyCertificationChemotherapy and/or radiationClinicalCognitionCognitiveComplexConsultationsCountryCross-Sectional StudiesDataData CollectionDevelopmentDiagnosisDiagnosticDiagnostic ErrorsEducationFDA approvedFundingFutureGlassHistopathologyHumanImageImage AnalysisKnowledgeMalignant NeoplasmsMastectomyMedical ImagingModelingOperative Surgical ProceduresPathologicPathologistPathologyPathology processesPatient CarePatientsPerceptionPhysiciansProcessRadiation therapyReaderRecommendationRecording of previous eventsResearchResearch DesignResidenciesScreening for cancerSecond OpinionsShippingSiteSlideTechnologyTestingTimeTrainingTraining ProgramsUnited States National Institutes of HealthVisualVisual PerceptionWorkaccurate diagnosisanticancer researchapprenticeshipbasebreast pathologycancer diagnosisclinical practiceclinical research sitecognitive processdesigndiagnostic accuracydigitaldigital imagingexperiencehigh resolution imagingimprovedinnovationlongitudinal analysismalignant breast neoplasmmedical schoolsmultidisciplinarynext generationprogramsrecruitskillssynergismtoolvisual trackingwhole slide imaging
项目摘要
Accurate pathologic diagnoses are the cornerstone of both patient care and cancer
research. The diagnostic process requires complex visual perceptual tasks interacting with cognitive
processes, yet little research has been done to understand and potentially improve how skills needed
for accurate diagnoses are acquired. There is an especially profound lack of data on the interpretative
process in the field of pathology. Our prior work identified a concerning level of diagnostic
disagreement and errors in the interpretation of breast biopsies related to cancer screening and
millions of breast biopsies are obtained each year. The proposed research will help improve the
accuracy of pathologists diagnosing breast disease and cancer.
We will examine breast pathology interpretation in residents and experienced pathologists while
they interpret medical images to understand how expertise develops across the entire diagnosis
process from primary diagnoses to second opinions. First, we will examine the development of
expertise among pathology resident trainees at ten U.S. medical schools in both cross-sectional
analysis (Aim 1a) and in a longitudinal analysis gathering data on the same residents annually over
three years of training (Aim 1b). Concurrently, we will study the perceptual and cognitive origins of
diagnostic accuracy and errors among experienced pathologists while they interpret images for
primary diagnosis (Aim 2). Pathologists from Aim 2 will then be asked to provide “second opinions”
on cases to characterize how knowledge of an initial diagnosis impacts the interpretive process when
providing diagnostic second opinions (Aim 3). Using data from Aims 1-3, we will develop and test a
pilot educational program (Aim 4) designed to facilitate the development of expertise in pathology.
The proposed work is innovative in the use of cutting-edge digital whole slide images and
recording eye tracking and high-resolution image navigation behavior and in our plan to follow the
same residents longitudinally as they progress in training over three years. Providing diagnoses using
digital imaging, recently approved by the FDA, is in the future of pathology; our work will both improve
the diagnostic accuracy of current practicing pathologists and guide training the next generation.
Strengths of our application include 1) our multidisciplinary team with experience leading similar
multi-site R01-funded studies; 2) an efficient data collection plan that leverages access to existing
well-characterized breast biopsy cases, a fully developed image viewing and tracking tool, and
synergy between the Aims; 3) unparalleled access to >200 pathologists from ten clinical sites across
the country; and 4) a history of successful physician recruitment into similar studies.
准确的病理诊断是病人治疗和癌症治疗的基石
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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JOANN G ELMORE其他文献
JOANN G ELMORE的其他文献
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{{ truncateString('JOANN G ELMORE', 18)}}的其他基金
Metacognition and the Diagnostic Process in Pathology
元认知和病理学诊断过程
- 批准号:
10284893 - 财政年份:2021
- 资助金额:
$ 63.16万 - 项目类别:
Reader Accuracy in Pathology Interpretation and Diagnosis: Perception and Cognition (RAPID-PC)
病理解释和诊断的读者准确性:感知和认知 (RAPID-PC)
- 批准号:
10388503 - 财政年份:2018
- 资助金额:
$ 63.16万 - 项目类别:
Reader Accuracy in Pathology Interpretation and Diagnosis: Perception and Cognition (RAPID-PC)
病理解释和诊断的读者准确性:感知和认知 (RAPID-PC)
- 批准号:
9925189 - 财政年份:2018
- 资助金额:
$ 63.16万 - 项目类别:
Reader Accuracy in Pathology Interpretation and Diagnosis: Perception and Cognition (RAPID-PC)
病理解释和诊断的读者准确性:感知和认知 (RAPID-PC)
- 批准号:
10407524 - 财政年份:2018
- 资助金额:
$ 63.16万 - 项目类别:
Improving Melanoma Pathology Accuracy through Computer Vision Techniques - the IMPACT Study
通过计算机视觉技术提高黑色素瘤病理学的准确性 - IMPACT 研究
- 批准号:
9976466 - 财政年份:2017
- 资助金额:
$ 63.16万 - 项目类别:
Improving Melanoma Pathology Accuracy through Computer Vision Techniques - the IMPACT Study
通过计算机视觉技术提高黑色素瘤病理学的准确性 - IMPACT 研究
- 批准号:
9751222 - 财政年份:2017
- 资助金额:
$ 63.16万 - 项目类别:
Improving Melanoma Pathology Accuracy through Computer Vision Techniques - the IMPACT Study
通过计算机视觉技术提高黑色素瘤病理学的准确性 - IMPACT 研究
- 批准号:
9174605 - 财政年份:2016
- 资助金额:
$ 63.16万 - 项目类别:
Reducing Errors in the Diagnosis of Melanoma and Melanocytic Lesions
减少黑色素瘤和黑色素细胞病变的诊断错误
- 批准号:
9005424 - 财政年份:2016
- 资助金额:
$ 63.16万 - 项目类别:
Digital Pathology_Accuracy Viewing Behavior and Image Characterization
数字病理学_观看行为和图像表征的准确性
- 批准号:
8771432 - 财政年份:2012
- 资助金额:
$ 63.16万 - 项目类别:
Digital Pathology_Accuracy Viewing Behavior and Image Characterization
数字病理学_观看行为和图像表征的准确性
- 批准号:
8970690 - 财政年份:2012
- 资助金额:
$ 63.16万 - 项目类别:
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