ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2020
Automated Quantitative Measures of Terminal Duct Lobular Unit Involution and Breast Cancer Risk.
Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed, 21 citations in OpenAlex.
- Normal breast tissue (NBT)-classifiers: advancing compartment classification in normal breast histology.NPJ breast cancer · 2026Article
- Associations of perfluoroalkyl substances (PFAS) with terminal ductal lobular unit involution of the normal breast.Breast cancer research : BCR · 2025Article
- Associations of Stem Cell Markers with Lobular Involution in Benign Breast Tissue.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025Article
- Relationship between breast tissue involution and breast cancer.Frontiers in oncology · 2025Review
- Benign Breast Disease and Breast Cancer Risk in the Percutaneous Biopsy Era.JAMA surgery · 2024Article
- Associations of alcohol consumption with breast tissue composition.Breast cancer research : BCR · 2023Article
- Deep learning-based breast cancer grading and survival analysis on whole-slide histopathology images.Scientific reports · 2022Article
- Serum hormone levels and normal breast histology among premenopausal women.Breast cancer research and treatment · 2022Article
- Automated quantification of levels of breast terminal duct lobular (TDLU) involution using deep learning.NPJ breast cancer · 2022Article
- Associations of reproductive breast cancer risk factors with breast tissue composition.Breast cancer research : BCR · 2021Article
- Deep learning-based grading of ductal carcinoma in situ in breast histopathology images.Laboratory investigation; a journal of technical methods and pathology · 2021Article
- TDLU Involution and Breast Cancer Risk-Reply.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2021Article
- Automated Quantitative Measures of Terminal Duct Lobular Unit Involution and Breast Cancer Risk-Letter.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2021Article
- Deep Learning Image Analysis of Benign Breast Disease to Identify Subsequent Risk of Breast Cancer.JNCI cancer spectrum · 2021Article
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17 authors at 6 institutions in 2 countries.
Funding
Abstract
backgroundManual qualitative and quantitative measures of terminal duct lobular unit (TDLU) involution were previously reported to be inversely associated with breast cancer risk. We developed and applied a deep learning method to yield quantitative measures of TDLU involution in normal breast tissue. We assessed the associations of these automated measures with breast cancer risk factors and risk.
methodsWe obtained eight quantitative measures from whole slide images from a benign breast disease (BBD) nested case-control study within the Nurses' Health Studies (287 breast cancer cases and 1,083 controls). Qualitative assessments of TDLU involution were available for 177 cases and 857 controls. The associations between risk factors and quantitative measures among controls were assessed using analysis of covariance adjusting for age. The relationship between each measure and risk was evaluated using unconditional logistic regression, adjusting for the matching factors, BBD subtypes, parity, and menopausal status. Qualitative measures and breast cancer risk were evaluated accounting for matching factors and BBD subtypes.
resultsMenopausal status and parity were significantly associated with all eight measures; select TDLU measures were associated with BBD histologic subtype, body mass index, and birth index (
conclusionsAmong Nurses' Health Studies women diagnosed with BBD, TDLU involution is not a biomarker of subsequent breast cancer. IMPACT: TDLU involution may not impact breast cancer risk as previously thought.
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