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Updated: Aug 14, 2026

An R-Based Landscape Validation of a Competing Risk Model
Published on: September 16, 2022
Two models for radiological reviewing of interval cancers
K Moberg1, H Grundström, S Törnberg
1Department of Radiology, Södersjukhuset, Stockholm, Sweden.
Reviewing mammograms using mixed images reduced missed interval breast cancers by 50%. The review method significantly impacts missed case rates, highlighting the need for standardized approaches in breast cancer screening evaluations.
Area of Science:
- Radiology
- Oncology
- Public Health
Background:
- Interval breast cancers are those diagnosed after a negative screening mammogram but before the next scheduled screening.
- Accurate identification of missed cases is crucial for improving mammography screening effectiveness and reducing observer error.
Purpose of the Study:
- To compare two distinct review methods for assessing interval breast cancers.
- To determine the proportion of interval cancers that could be classified as missed cases due to observer error.
Main Methods:
- A review of screening mammograms from 104 interval breast cancer cases identified during a mass screening program (1989-1991) in Stockholm.
- Mammograms were reviewed using two methods: mixed (with other screening images) and non-mixed, by both internal and external reviewers.
Main Results:
- The proportion of missed cases varied significantly (7%-34%) based on the review method and the number of reviewers.
- Mixed reviewing decreased the identification of missed cases by 50% compared to non-mixed reviewing.
- Reviewer's affiliation (internal vs. external) did not influence the results.
Conclusions:
- Comparing missed case rates across studies is unreliable without consistent review methodologies.
- Radiologist experience with their own screening unit's images did not affect detection rates.
- The majority of interval cancers were not classified as missed cases by either review method.
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