Risk Models to Predict Screen-Detected and Interval Breast Cancers in Population Mammography Screening Participants.

ABSTRACT:

Aim

The aim of this study was to determine whether women at risk of having screen-detected (including detected at advanced stage) and interval breast cancer can be accurately identified using conventional risk factors collected by national screening programs.

Methods

All 1,026,137 mammography screening examinations for 323,082 women attending the BreastScreen Western Australia program (part of Australia's national biennial screening program) in July 2007-June 2017 contributed to models for predicting screen-detected breast cancers, screen-detected advanced cancers (≥pT2), and interval cancers.

Results

In total, 7024 screen-detected (1551 in situ, 5472 invasive, of which 1329 were ≥pT2) and 1866 interval cancers (76 in situ, 1790 invasive) were diagnosed. In a multivar

SUBMITTER: Noguchi N 

PROVIDER: S-EPMC11898880 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature