Optical assessment of mammographic breast density by a 12-wavelength vs a continuous-spectrum optical spectroscopy device.
Sign Up to like & getrecommendations! Published in 2018 at "Journal of biophotonics"
DOI: 10.1002/jbio.201700071
Abstract: A 12-laser-wavelength, fixed source-detector position, cup-based optical breast spectroscopy (OBS) device was developed for use in large-scale, multicenter trials as a mammographic breast density (MBD) quantification and breast cancer (BC) risk prescreening tool. In this… read more here.
Keywords: mammographic breast; breast density; spectroscopy; device ... See more keywords
Prediagnostic circulating metabolites in female breast cancer cases with low and high mammographic breast density
Sign Up to like & getrecommendations! Published in 2021 at "Scientific Reports"
DOI: 10.1038/s41598-021-92508-1
Abstract: Mammographic breast density (MBD) is a strong independent risk factor for breast cancer (BC). We designed a matched case–case study in the EPIC Florence cohort, to evaluate possible associations between the pre-diagnostic metabolomic profile and… read more here.
Keywords: mammographic breast; mbd; breast; case ... See more keywords
Deep Learning for Mammographic Breast Density Assessment and Beyond.
Sign Up to like & getrecommendations! Published in 2019 at "Radiology"
DOI: 10.1148/radiol.2018182116
Abstract: See also the article by Lehman et al in this issue. read more here.
Keywords: mammographic breast; learning mammographic; density assessment; assessment beyond ... See more keywords
Abstract 4271: A new methodological approach to discovering biomarkers of mammographic breast density using pathway-guided lipid amalgamation
Sign Up to like & getrecommendations! Published in 2023 at "Cancer Research"
DOI: 10.1158/1538-7445.am2023-4271
Abstract: Introduction: High mammographic breast density (MBD) is a risk factor for breast cancer. Studies are evaluating the associations of various multi-omic biomarkers, in well-defined pathways with MBD, but the existing methodological approaches have drawbacks. For… read more here.
Keywords: amalgamation; mammographic breast; breast density; breast ... See more keywords
Abstract P5-08-24: Impaired glucose tolerance decreases mammographic breast density in Japanese women
Sign Up to like & getrecommendations! Published in 2020 at "Cancer Research"
DOI: 10.1158/1538-7445.sabcs19-p5-08-24
Abstract: Background; Many studies have demonstrated an association between diabetes and breast cancer risk. Purpose; We examined whether fasting glucose and hemoglobin A1c (HbA1c) are associated with mammographic breast density in Japanese women. Methods; Study consisted… read more here.
Keywords: hba1c; density japanese; cancer; breast density ... See more keywords
Adiposity Change Over the Life Course and Mammographic Breast Density in Postmenopausal Women
Sign Up to like & getrecommendations! Published in 2020 at "Cancer Prevention Research"
DOI: 10.1158/1940-6207.capr-19-0549
Abstract: Mammographic breast density is a strong risk factor for breast cancer. We comprehensively investigated the associations of body mass index (BMI) change from ages 10, 18, and 30 to age at mammogram with mammographic breast… read more here.
Keywords: percent density; density; breast density; volumetric percent ... See more keywords
Breastfeeding and Mammographic Breast Density: A Cross-sectional Study.
Sign Up to like & getrecommendations! Published in 2023 at "Cancer prevention research"
DOI: 10.1158/1940-6207.capr-22-0482
Abstract: Breastfeeding is inversely associated with breast cancer risk but the associations of breastfeeding with mammographic breast density (MBD) are not clear. We investigated the association between breastfeeding and volumetric measures of MBD (volumetric percent density… read more here.
Keywords: density; mammographic breast; breast; breastfed months ... See more keywords
Patchless Multi-Stage Transfer Learning for Improved Mammographic Breast Mass Classification
Sign Up to like & getrecommendations! Published in 2022 at "Cancers"
DOI: 10.3390/cancers14051280
Abstract: Simple Summary In this study, we propose a novel deep-learning method based on multi-stage transfer learning (MSTL) from ImageNet and cancer cell line image pre-trained models to classify mammographic masses as either benign or malignant.… read more here.
Keywords: breast; method; mammographic breast; multi stage ... See more keywords