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.

Public Health Relevance

Pathology diagnosis is the result of human visual perception and cognitive processing of complex histopathology images. The RAPID-PC Study will contribute to understanding how diagnostic pathology expertise develops over time and will study the types of diagnostic errors made by both residents in training and experienced pathologists while interpreting breast biopsy images. Millions of breast biopsies are performed each year, thus our study has crucial clinical implications for patients who depend on pathologists' interpretations to guide treatment recommendations.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA225585-02
Application #
9720860
Study Section
Special Emphasis Panel (ZRG1)
Program Officer
Horowitz, Todd S
Project Start
2018-06-12
Project End
2023-05-31
Budget Start
2019-06-01
Budget End
2020-05-31
Support Year
2
Fiscal Year
2019
Total Cost
Indirect Cost
Name
University of California Los Angeles
Department
Internal Medicine/Medicine
Type
Schools of Medicine
DUNS #
092530369
City
Los Angeles
State
CA
Country
United States
Zip Code
90095