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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…
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Keywords:
mammographic breast;
breast density;
spectroscopy;
device ... See more keywords
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Published in 2024 at "Japanese Journal of Radiology"
DOI: 10.1007/s11604-024-01708-y
Abstract: The breast shape differs between the prone position in breast magnetic resonance imaging (MRI) and the supine position on an operating table. We sought to determine the relationship between patient position-induced changes on prone and…
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Keywords:
breast density;
mammographic breast;
breast shape;
breast ... See more keywords
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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…
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Keywords:
mammographic breast;
mbd;
breast;
case ... See more keywords
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Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-95275-5
Abstract: This study investigated a series of deep learning (DL) models for the objective assessment of four categories of mammographic breast density (e.g., fatty, scattered, heterogeneously dense, and extremely dense). A retrospective analysis was conducted using…
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Keywords:
breast density;
deep learning;
extremely dense;
breast ... See more keywords
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Published in 2024 at "European Journal of Cancer Prevention"
DOI: 10.1097/cej.0000000000000878
Abstract: Background: We investigated the association between established risk factors for breast cancer and mammographic breast density in Korean women. Methods This large cross-sectional study included 8 460 928 women aged >40 years, who were screened for breast…
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Keywords:
breast density;
cancer;
breast cancer;
breast ... See more keywords
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1
Published in 2019 at "Radiology"
DOI: 10.1148/radiol.2018182116
Abstract: See also the article by Lehman et al in this issue.
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Keywords:
mammographic breast;
learning mammographic;
density assessment;
assessment beyond ... See more keywords
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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…
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Keywords:
amalgamation;
mammographic breast;
breast density;
breast ... See more keywords
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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…
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Keywords:
hba1c;
density japanese;
cancer;
breast density ... See more keywords
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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…
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Keywords:
percent density;
density;
breast density;
volumetric percent ... See more keywords
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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…
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Keywords:
density;
mammographic breast;
breast;
breastfed months ... See more keywords
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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.…
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Keywords:
breast;
method;
mammographic breast;
multi stage ... See more keywords