ArticleEuropean journal of radiology2012
Bilateral mammographic density asymmetry and breast cancer risk: a preliminary assessment.
Article in European journal of radiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.
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Who cites it
32 citing papers in PubMed, 1 synthesis or guideline pooled it, 79 citations in OpenAlex.
- Repeated measures of mammographic density and texture to evaluate prediction and risk of breast cancer: a systematic review of the methods used in the literature.Cancer causes & control : CCC · 2023Pooled it
- Cancer: A bioelectric disease?Clinical and translational medicine · 2026Review
- Characterization of mammographic markers of inflammatory breast cancer (IBC).Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) · 2025Article
- In vivo optimization of the experimental conditions for the non-invasive optical assessment of breast density.Scientific reports · 2024Article
- Prediction of Short-Term Breast Cancer Risk with Fusion of CC- and MLO-Based Risk Models in Four-View Mammograms.Journal of digital imaging · 2022Article
- Transformers Improve Breast Cancer Diagnosis from Unregistered Multi-View Mammograms.Diagnostics (Basel, Switzerland) · 2022Article
- Additive value of exposure parameters for breast cancer diagnosis in digital mammography.European radiology · 2021Article
- Detecting Asymmetric Patterns and Localizing Cancers on Mammograms.Patterns (New York, N.Y.) · 2020Article
- Left-right breast asymmetry and risk of screen-detected and interval cancers in a large population-based screening population.The British journal of radiology · 2020Article
- Ethnic and age differences in right-left breast asymmetry in a large population-based screening population.The British journal of radiology · 2020Article
- Automated volumetric breast density measures: differential change between breasts in women with and without breast cancer.Breast cancer research : BCR · 2019Article
- Developing global image feature analysis models to predict cancer risk and prognosis.Visual computing for industry, biomedicine, and art · 2019Article
- Automatic and fast segmentation of breast region-of-interest (ROI) and density in MRIs.Heliyon · 2018Article
- Applying a new computer-aided detection scheme generated imaging marker to predict short-term breast cancer risk.Physics in medicine and biology · 2018Article
- Prediction of breast cancer risk using a machine learning approach embedded with a locality preserving projection algorithm.Physics in medicine and biology · 2018Article
- Assessment of global and local region-based bilateral mammographic feature asymmetry to predict short-term breast cancer risk.Physics in medicine and biology · 2018Article
- Applying a new bilateral mammographic density segmentation method to improve accuracy of breast cancer risk prediction.International journal of computer assisted radiology and surgery · 2017Article
- Breast tissue stiffness estimation for surgical guidance using gravity-induced excitation.Physics in medicine and biology · 2017Article
- Developing a new case based computer-aided detection scheme and an adaptive cueing method to improve performance in detecting mammographic lesions.Physics in medicine and biology · 2017Article
- Left-right analysis of mammary gland development in retinoid X receptor-α+/- mice.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2016Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
To improve efficacy of breast cancer screening and prevention programs, it requires a risk assessment model with high discriminatory power. This study aimed to assess classification performance of using computed bilateral mammographic density asymmetry to predict risk of individual women developing breast cancer in near-term. The database includes 451 cases with multiple screening mammography examinations. The first (baseline) examinations of all case were interpreted negative. In the next sequential examinations, 187 cases developed cancer or surgically excised high-risk lesions, 155 remained negative (not-recalled), and 109 were recalled benign cases. From each of two bilateral cranio-caudal view images acquired from the baseline examination, we computed two features of average pixel value and local pixel value fluctuation. We then computed mean and difference of each feature computed from two images. When applying the computed features and other two risk factors (woman's age and subjectively rated mammographic density) to predict risk of cancer development, areas under receiver operating characteristic curves (AUC) were computed to evaluate the discriminatory/classification performance. The AUCs are 0.633±0.030, 0.535±0.036, 0.567±0.031, and 0.719±0.027 when using woman's age, subjectively rated, computed mean and asymmetry of mammographic density, to classify between two groups of cancer-verified and negative cases, respectively. When using an equal-weighted fusion method to combine woman's age and computed density asymmetry, AUC increased to 0.761±0.025 (p<0.05). The study demonstrated that bilateral mammographic density asymmetry could be a significantly stronger risk factor associated to the risk of women developing breast cancer in near-term than woman's age and assessed mean mammographic density.
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Registered trials
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