Article

Investigating the added value of incorporating mammographic density to an integrated breast cancer risk model with questionnaire-based risk factors and polygenic risk score

2024-12-19

Abstract excerpt

<title>Abstract</title> <p>Introduction Incorporation of mammographic density to breast cancer risk models could improve risk stratification to tailor screening and prevention strategies according to risk. Robust evaluation of the value of adding mammographic density to models with comprehensive information on questionnaire-based risk factors and polygenic risk score is needed to determine its effectiveness in i...

Topics

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

Identifiers and source

Literature Corpus work: 99979ca7-51ea-517d-aee8-7b998d174739
DOI: 10.21203/rs.3.rs-5445786/v1

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Investigating the added value of incorporating mammographic density to an integrated breast cancer risk model with questionnaire-based risk factors and polygenic risk scoreDOI 10.21203/rs.3.rs-5445786/v1Read

Prospective evaluation of a breast-cancer risk model integrating classical risk factors and polygenic risk in 15 cohorts from six countries.Semantic proximity Read

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

Prospective Evaluation of a Breast Cancer Risk Model Integrating Classical Risk Factors and Polygenic Risk in 15 Cohorts from Six CountriesSemantic proximity Read

Addition of a polygenic risk score, mammographic density, and endogenous hormones to existing breast cancer risk prediction models: A nested case-control study.Semantic proximity Read

The contributions of breast density and common genetic variation to breast cancer risk.Semantic proximity Read

Less Is More-Ways to Move Forward for Improved Breast Cancer Risk Stratification.Semantic proximity Read

Validation of a breast cancer risk prediction model based on the key risk factors: family history, mammographic density and polygenic riskSemantic proximity Read

Investigating the relationship between breast cancer risk factors and an AI-generated mammographic texture feature in the Nurses' Health Study IISemantic proximity Read

A clinical pilot study for personalized risk-based breast cancer screening utilizing the polygenic risk scoreSemantic 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

Breast cancer risk stratification in women of screening age: Incremental effects of adding mammographic density, polygenic risk, and a gene panel.Semantic proximity Read

Evaluating mammographic density polygenic risk score for contralateral breast cancer risk prediction.Semantic proximity Read