ArticleJNCI cancer spectrum2021
Relation of Quantitative Histologic and Radiologic Breast Tissue Composition Metrics With Invasive Breast Cancer Risk.
Article in JNCI cancer spectrum, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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Who cites it
15 citing papers in PubMed, 31 citations in OpenAlex.
- Artificial intelligence and oral microbiome: Reshaping the diagnostic and therapeutic paradigm of OSCC.Clinical and translational medicine · 2026Review
- Associations of local breast density with patient characteristics and risk of breast cancer among women undergoing diagnostic breast biopsy.Breast cancer research : BCR · 2026Article
- Air Pollutants and Breast Cancer Risk: A Parallel Analysis of Five Large US Prospective Cohorts.American journal of public health · 2025Article
- Unraveling the role of stromal disruption in aggressive breast cancer etiology and outcomes.Journal of the National Cancer Institute · 2025Article
- Spatially Resolved Single-Cell Morphometry of Benign Breast Disease Biopsy Images Uncovers Quantitative Cytomorphometric Features Predictive of Subsequent Invasive Breast Cancer Risk.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2025Article
- Deep learning analysis of hematoxylin and eosin-stained benign breast biopsies to predict future invasive breast cancer.JNCI cancer spectrum · 2025Article
- Contribution of Prediagnostic Host Factors to Shaping the Stromal Microenvironment of Breast Cancer among Sub-Saharan African Women.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025Article
- A systematic review of determinants of breast cancer risk among women with benign breast disease.NPJ breast cancer · 2025Article
- Associations between quantitative measures of mammographic density and terminal ductal lobular unit involution in Chinese breast cancer patients.Breast cancer research : BCR · 2024Article
- Temporal changes in mammographic breast density and breast cancer risk among women with benign breast disease.Breast cancer research : BCR · 2024Article
- Predicting early breast cancer recurrence from histopathological images in the Carolina Breast Cancer Study.NPJ breast cancer · 2023Article
- Host, reproductive, and lifestyle factors in relation to quantitative histologic metrics of the normal breast.Breast cancer research : BCR · 2023Article
- Outdoor air pollution and histologic composition of normal breast tissue.Environment international · 2023Article
- Proceedings of the fifth international Molecular Pathological Epidemiology (MPE) meeting.Cancer causes & control : CCC · 2022Article
- Mammary collagen architecture and its association with mammographic density and lesion severity among women undergoing image-guided breast biopsy.Breast cancer research : BCR · 2021Article
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Authors and funding
14 authors at 7 institutions in 3 countries.
Funding
Abstract
Background: Benign breast disease (BBD) is a strong breast cancer risk factor, but identifying patients that might develop invasive breast cancer remains a challenge. Methods: By applying machine-learning to digitized hematoxylin and eosin-stained biopsies and computer-assisted thresholding to mammograms obtained circa BBD diagnosis, we generated quantitative tissue composition metrics and determined their association with future invasive breast cancer diagnosis. Archival breast biopsies and mammograms were obtained for women (18-86 years of age) in a case-control study, nested within a cohort of 15 395 BBD patients from Kaiser Permanente Northwest (1970-2012), followed through mid-2015. Patients who developed incident invasive breast cancer (ie, cases; n = 514) and those who did not (ie, controls; n = 514) were matched on BBD diagnosis age and plan membership duration. All statistical tests were 2-sided. Results: Increasing epithelial area on the BBD biopsy was associated with increasing breast cancer risk (odds ratio [OR] Conclusion: Among BBD patients, increasing epithelium-to-stroma proportion on BBD biopsies and percent MBD at BBD diagnosis were independently and jointly associated with increasing breast cancer risk. These findings were particularly striking for women with nonproliferative disease (comprising approximately 70% of all BBD patients), for whom relevant predictive biomarkers are lacking.
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