ArticleBreast cancer research : BCR2016
Mammographic density assessed on paired raw and processed digital images and on paired screen-film and digital images across three mammography systems.
Article in Breast cancer research : BCR, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.
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Who cites it
14 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.
- Mammographic density and ageing: A collaborative pooled analysis of cross-sectional data from 22 countries worldwide.PLoS medicine · 2017Pooled it
- Mammographic density and breast cancer risk among Black American women.International journal of cancer · 2025Article
- Permutation Test for Image-on-Scalar Regression With an Application to Breast Cancer.Statistics in medicine · 2024Article
- Association and Prediction Utilizing Craniocaudal and Mediolateral Oblique View Digital Mammography and Long-Term Breast Cancer Risk.Cancer prevention research (Philadelphia, Pa.) · 2023Article
- The association of age at menarche and adult height with mammographic density in the International Consortium of Mammographic Density.Breast cancer research : BCR · 2022Article
- Deep learning identification of stiffness markers in breast cancer.Biomaterials · 2022Article
- Mammographic texture features associated with contralateral breast cancer in the WECARE Study.NPJ breast cancer · 2021Article
- A Deep Learning Approach to Re-create Raw Full-Field Digital Mammograms for Breast Density and Texture Analysis.Radiology. Artificial intelligence · 2021Article
- The distribution and determinants of mammographic density measures in Western Australian aboriginal women.Breast cancer research : BCR · 2019Article
- A comprehensive tool for measuring mammographic density changes over time.Breast cancer research and treatment · 2018Article
- Automated mammographic breast density estimation using a fully convolutional network.Medical physics · 2018Article
- Percent mammographic density prediction: development of a model in the nurses' health studies.Cancer causes & control : CCC · 2017Article
- Qualitative Versus Quantitative Mammographic Breast Density Assessment: Applications for the US and Abroad.Diagnostics (Basel, Switzerland) · 2017Review
- Visualization of Breast Microcalcifications on Digital Breast Tomosynthesis and 2-Dimensional Digital Mammography Using Specimens.Breast cancer : basic and clinical research · 2017Article
Corrections and comments
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Authors and funding
58 authors at 20 institutions in 21 countries.
Funding
Abstract
backgroundInter-women and intra-women comparisons of mammographic density (MD) are needed in research, clinical and screening applications; however, MD measurements are influenced by mammography modality (screen film/digital) and digital image format (raw/processed). We aimed to examine differences in MD assessed on these image types.
methodsWe obtained 1294 pairs of images saved in both raw and processed formats from Hologic and General Electric (GE) direct digital systems and a Fuji computed radiography (CR) system, and 128 screen-film and processed CR-digital pairs from consecutive screening rounds. Four readers performed Cumulus-based MD measurements (n = 3441), with each image pair read by the same reader. Multi-level models of square-root percent MD were fitted, with a random intercept for woman, to estimate processed-raw MD differences.
resultsBreast area did not differ in processed images compared with that in raw images, but the percent MD was higher, due to a larger dense area (median 28.5 and 25.4 cm
conclusionsMD was slightly higher when measured on processed than on raw direct digital mammograms. Comparisons of MD on these image formats should ideally control for this non-constant and reader-specific difference.
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Registered trials
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