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Interval breast cancers in a community screening programme: frequency, radiological classification and prognostic
Marisa Baré1, Melcior Sentís, Jaume Galceran
1Breast Cancer Screening Office, UDIAT, Centre Diagnòstic, Corporació Parc Taulí, Parc Taulí, s/n 08208 Sabadell, Spain. mbare@tauli.cat
Summary
Interval cancers (IC) indicate breast screening quality. This study found 21% of interval cancers were false negatives, with a high frequency of IC occurring 12 months post-screening, highlighting areas for improvement.
Area of Science:
- Oncology
- Radiology
- Public Health
Background:
- Interval cancers (IC) are crucial indicators of breast cancer screening program effectiveness.
- Estimating IC frequency and understanding their characteristics are vital for improving screening quality.
Purpose of the Study:
- To estimate the frequency of interval cancers (IC) in a specific breast screening program.
- To classify IC through radiological review and identify prognostic factors.
- To assess the impact of screening errors on IC occurrence.
Main Methods:
- Population-based study of IC within the Sabadell-Cerdanyola Breast Cancer Screening Programme (1995-2001).
- Analysis of incidence rates and proportional incidence stratified by age, screening type, round, and time since last mammogram.
- Radiological informed consensus review for IC classification.
Main Results:
- No specific incidence patterns were observed regarding age, screening type, or round.
- Screening sensitivity was higher in women aged 60-69 years.
- Twenty-one percent of evaluated IC were attributed to screening errors (false negatives).
- A high frequency of IC was noted from 12 months after screening.
- No significant differences in prognostic factors were found based on radiological type or time since last mammogram.
Conclusions:
- A significant proportion of interval cancers result from screening errors.
- The high frequency of IC occurring 12 months post-screening suggests a need for optimized screening intervals.
- Standardization of IC definition and analysis is necessary to improve detection and patient outcomes.
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