Article

Development and validation of a 5-year risk model using mammogram risk scores generated from screening digital breast tomosynthesis

2024-09-18

Abstract excerpt

<h4>ABSTRACT</h4> Screening digital breast tomosynthesis (DBT) aims to identify breast cancer early when treatment is most effective leading to reduced mortality. In addition to early detection, the information contained within DBT images may also inform subsequent risk stratification and guide risk-reducing management. We obtained a 5-year area under the curve (AUC) = 0.78 (95% confidence interval (CI) = 0.75 – 0...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: e5dc0c53-85ae-50ed-877e-1f3f8229d372
DOI: 10.1101/2024.09.17.24313569

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Development and validation of a 5-year risk model using mammogram risk scores generated from screening digital breast tomosynthesisDOI 10.1101/2024.09.17.24313569Read

Long-Term Performance of an Image-Based Short-Term Risk Model for Breast Cancer.Semantic proximity Read

Risk-based breast cancer screening strategies in women.Semantic proximity Read

Comparison of Mammography Artificial Intelligence Algorithms for 5-year Breast Cancer Risk PredictionSemantic proximity Read

Breast cancer risk prediction from longitudinal mammography reports in a real-world health systemSemantic proximity Read

Breast Cancer Risk Assessment Models and High-Risk ScreeningSemantic proximity Read

Assessing breast cancer risk within the general screening population: developing a breast cancer risk model to identify higher risk women at mammographic screening.Semantic proximity Read

Comparative validation of breast cancer risk prediction models and projections for future risk stratificationSemantic proximity Read

Prospective Evaluation of AI Risk Stratification for Triaging Expedited Screening Mammogram InterpretationSemantic proximity Read

Performance of an image-only deep learning breast cancer risk model with the addition of a polygenic risk score.Semantic proximity Read

Identifying women with increased risk of breast cancer and implementing risk-reducing strategies and supplemental imaging.Semantic proximity Read

How to comprehensively evaluate & manage cardiovascular risk in breast cancer survivors?Semantic proximity Read

The current status of risk-stratified breast screening.Semantic proximity Read