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Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
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Characterizing Interpretive and Diagnostic Competency Development in Pathology Training.

Tad T Brunyé1, Hannah Shucard2, Megan M Eguchi3

  • 1Center for Applied Brain and Cognitive Sciences, Tufts University, 177 College Ave, Suite 090, Medford, Massachusetts, 02155, United States; Department of Psychology, Tufts University, 490 Boston Ave., Medford, Massachusetts, 02155, United States.

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Summary
This summary is machine-generated.

Pathology residents improve diagnostic accuracy with more training years. Accurate histopathological feature description is key to better diagnoses and patient care.

Keywords:
breast cancerdecision-makingeye-trackingmedical educationmedical image interpretationpathology

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Area of Science:

  • Medical Education
  • Pathology
  • Diagnostic Accuracy

Background:

  • Accurate disease diagnosis is crucial for patient care and outcomes.
  • Developing diagnostic competence is a primary objective of pathology residency.
  • Understanding skill progression during residency is vital for optimizing training.

Purpose of the Study:

  • To investigate the association between pathology residency training duration and performance in key diagnostic interpretive phases.
  • To analyze how image-viewing behavior, annotation accuracy, and diagnostic decisions evolve with increasing years of training.
  • To identify critical skills that predict diagnostic accuracy in pathology trainees.

Main Methods:

  • Longitudinal study analyzing data from 155 pathology residents across 10 US academic medical centers.
  • Residents reviewed 32 digital whole slide images of breast biopsies over multiple training years.
  • Generalized estimating equations assessed the relationship between residency year and performance in critical region detection, relevance recognition, feature description, and diagnosis.

Main Results:

  • Residency year was not significantly associated with critical region detection or recognition of their importance.
  • Each additional training year correlated with broader image scanning strategies (less time on critical regions, more attentional coverage).
  • Each training year significantly increased the odds of accurate annotation (19%) and accurate diagnosis (18%).

Conclusions:

  • Diagnostic accuracy and the ability to describe histopathological features improve with pathology residency training.
  • Accurate feature annotation is a critical predictor of diagnostic accuracy, underscoring its foundational role.
  • Competency-based pathology training should focus on enhancing histopathological feature recognition and description to improve diagnostic performance.