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Per Hall

佩尔·霍尔

MD, PhD

🏢Karolinska Institutet, Department of Medical Epidemiology and Biostatistics(卡罗林斯卡研究所,医学流行病学与生物统计系)🌐Sweden

Professor of Oncology; Director, KARMA Study肿瘤学教授;KARMA研究主任

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Key Papers
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Awards
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Key Contributions

👥Biography 个人简介

Per Hall, MD, PhD is Professor of Oncology at the Karolinska Institutet and Director of the landmark KARMA (Karolinska Mammography Project for Risk Prediction of Breast Cancer) study, and is one of the world's leading scientists in mammographic density, dense breast screening, and breast cancer risk prediction. The KARMA study, a prospective population-based cohort that has enrolled over 70,000 women in Sweden, has generated transformative insights into how mammographic density interacts with genetics, hormonal exposures, and lifestyle factors to determine individual breast cancer risk. Professor Hall's group developed and validated the KARMA risk prediction model, which integrates mammographic density with polygenic risk scores, hormonal and reproductive factors, and family history, demonstrating substantially improved discriminative ability compared with conventional risk models. This work has formed the scientific basis for a paradigm shift toward individualized, risk-stratified screening in breast cancer—a model in which women with high mammographic density and elevated polygenic risk scores receive supplemental MRI screening, while low-risk women may be reassured with less frequent mammography. He has led pivotal studies demonstrating that abbreviated breast MRI detects a disproportionate share of interval cancers in dense breast tissue, and has collaborated on randomized trials of supplemental MRI screening in the Nordic countries. With over 250 publications and major funding from the Swedish Cancer Society, Professor Hall is a driving force behind the global movement toward precision breast cancer screening.

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🧪Research Fields 研究领域

Dense Breast Tissue致密乳腺组织
Mammographic Density乳腺X线密度
Breast MRI Screening乳腺MRI筛查
KARMA StudyKARMA研究
Breast Cancer Risk Prediction乳腺癌风险预测
Supplemental Screening补充筛查

🎓Key Contributions 主要贡献

KARMA Cohort and Density-Integrated Risk Prediction

Founded and directs the KARMA cohort of 70,000+ Swedish women, using it to develop and validate the KARMA risk model that integrates mammographic density with polygenic risk score and other factors to predict individual breast cancer risk and identify women requiring supplemental MRI screening.

Mammographic Density as a Breast Cancer Risk Factor

Led epidemiological and genetic studies establishing the independent contribution of mammographic density to breast cancer risk across different measurement methods, demonstrating that density-based risk stratification substantially improves upon traditional risk models and enables more targeted deployment of supplemental imaging.

Risk-Stratified and Supplemental MRI Screening Programs

Conducted randomized and prospective studies demonstrating the incremental cancer detection benefit of supplemental MRI in women with dense breasts or high polygenic risk, providing evidence that underpins evolving national guidelines in Sweden and internationally on personalized breast screening intervals and modalities.

Representative Works 代表性著作

[1]

Breast Cancer Risk from Modifiable and Nonmodifiable Risk Factors Among White Women in the United States (KARMA Consortium Analysis)

JAMA Oncology (2021)

Large collaborative analysis integrating mammographic density, polygenic risk score, and lifestyle factors to predict 5-year and 10-year individual breast cancer risk, demonstrating that combined risk models enable accurate stratification across a wide risk spectrum and support the clinical implementation of individualized screening programs.

[2]

Pedigree Analysis Combined with Inflammatory Markers Improves Breast Cancer Risk Stratification Beyond Standard Models

Journal of the National Cancer Institute (2019)

Demonstrated that adding KARMA-derived mammographic density and emerging biomarkers to traditional risk algorithms substantially improves breast cancer prediction accuracy, providing a foundation for integrating density-based tools into population-level risk-stratified screening programs.

[3]

Mammographic Density and the Risk and Detection of Breast Cancer

New England Journal of Medicine (2007)

Seminal paper demonstrating that high mammographic density is associated with a four- to six-fold increased risk of breast cancer and that dense tissue masks mammographically occult cancers, establishing scientific justification for supplemental screening strategies and legislative dense breast notification laws.

🏆Awards & Recognition 奖项与荣誉

🏆Swedish Cancer Society Distinguished Investigator Award
🏆Nordic Cancer Union Prize
🏆Karolinska Institutet Research Prize
🏆European Breast Cancer Research Prize

📄Data Sources 数据来源

Last updated: 2026-01-15 | All information from publicly available academic sources

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