Does access to prior mammograms improve the performance of radiographers in interpreting screening mammograms?

Introduction: The impact of previous screening mammograms on radiographers' performance in mammography interpretation is unknown. This study assesses the impact that previous screening mammograms has on radiographers' interpretation of mammograms.

Methods: Thirteen Australian radiographers working for the national breast screening service independently interpreted a mammography test-set containing mammograms of 28 women based on the Royal Australian and New Zealand College of Radiologists' classification.

Exploring the impact of work experience on the detection of specific cancers across different breast density levels on screening mammograms.

Purpose: This study explores the attributes of true positive and false positive rates in screening mammogram test sets assessed by breast screening radiologists in order to identify the combined impact of prior images, breast density and lesion features with experience factors linked to diagnostic performance.

Methods: 869 radiologists' first-time readings across nine mammogram BREAST test sets with 361 normal and 179 cancer mammograms were collected between 2014 and 2023. Participants viewed digital mammograms on diagnostic monitors and localized abnormal lesions.

A Machine Learning Model Based on Global Mammographic Radiomic Features Can Predict Which Normal Mammographic Cases Radiology Trainees Find Most Difficult.

This study aims to investigate whether global mammographic radiomic features (GMRFs) can distinguish hardest- from easiest-to-interpret normal cases for radiology trainees (RTs). Data from 137 RTs were analysed, with each interpreting seven educational self-assessment test sets comprising 60 cases (40 normal and 20 cancer). The study only examined normal cases.

Access to prior screening mammograms affects the specificity but not sensitivity of radiologists' performance.

Aims: To establish the impact that access to prior mammograms has on radiologists' performance and the influence of radiologists' characteristics and breast density on their subsequent performance.

Methods: Eight participants independently interpreted 72 digital screening mammograms in two reading sessions using the Royal Australian and New Zealand College of Radiologist's classification. In the first reading session, participants were given access to current and prior mammograms.

Optimizing Radiological Education: The Role of Learning Spacing via Test sets in Enhancing Diagnostic Proficiency in Breast Screening Readers.

Rationale And Objectives: Integrating learning spacing in medicine has shown promise in enhancing knowledge retention and diagnostic proficiency. While studies demonstrate the effectiveness of spaced learning in various fields, limited research exists on its application in radiological training. This study aims to investigate the impact of intervals in spaced training on radiologists' and trainees' diagnostic performance via mammogram test sets.