Development and Validation of Dynamic 5-Year Breast Cancer Risk Model Using Repeated Mammograms

Adding previous screening mammogram images improves 5-year BC risk prediction beyond static models. It can identify women at high risk who might benefit from supplemental screening or risk-reduction strategies.

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Institutions

Publication Details

Journal
JCO Clinical Cancer Informatics
Published
2024-12-01
DOI
https://doi.org/10.1200/cci-24-00200
Citations
7
Primary Topic
Global Cancer Incidence and Screening
Type
article
Field-Weighted Citation Impact
1.98
Controls
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article

Development and Validation of Dynamic 5-Year Breast Cancer Risk Model Using Repeated Mammograms

Graham A. Colditz, Debbie L. Bennett, Rulla M. Tamimi, Shu Jiang et al.
7 citations
JCO Clinical Cancer Informatics
Global Cancer Incidence and Screening
1.98
article

Development and Validation of Dynamic 5-Year Breast Cancer Risk Model Using Repeated Mammograms

Graham A. Colditz, Debbie L. Bennett, Rulla M. Tamimi, Shu Jiang, BERNARD A. ROSNER
article en
7 citations

Abstract

Adding previous screening mammogram images improves 5-year BC risk prediction beyond static models. It can identify women at high risk who might benefit from supplemental screening or risk-reduction strategies.

JCO Clinical Cancer InformaticsVol. 8(8)
Brigham and Women's Hospital (US), Washington University in St. Louis (US), Cornell University (US), Weill Cornell Medicine (US)
Gender equality
Openalex Percentile: Top 11%
Global Cancer Incidence and Screening
1.98
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