Results 71 to 80 of about 3,392,047 (215)

Model‐based image restoration targeting higher‐dose digital mammography: Impact on radiologists' detection of clustered microcalcifications

open access: yesMedical Physics, Volume 53, Issue 11, November 2026.
Abstract Background Image noise in digital mammography (DM) can obscure image details and reduce the detectability of clinically relevant findings such as microcalcifications. Purpose To present and evaluate an extended model‐based (MB) image restoration pipeline for DM that incorporates quantum, electronic, and structural noise components, as well as ...
Renann F. Brandão   +7 more
wiley   +1 more source

Circulating serum xenoestrogens and mammographic breast density [PDF]

open access: yesBreast Cancer Research, 2013
Abstract Introduction Humans are widely exposed to estrogenically active phthalates, parabens, and phenols, raising concerns about potential effects on breast tissue and breast cancer risk. We sought to determine the association of circulating serum levels of these chemicals (reflecting recent exposure ...
Sprague, Brian L   +9 more
openaire   +2 more sources

Comparing measurements of breast density.

open access: yes, 2007
Breast density measurements can be made from mammograms using either area-based methods, such as the six category classification (SCC), or volumetric based methods, such as the standard mammogram form (SMF).
Brady, M   +5 more
core   +1 more source

Hydrogel‐Based 3D‐Printed Anthropomorphic Breast Phantom for Emulating Mechanical and Dielectric Properties of Mammary Tissue. Applications in Microwave Imaging

open access: yesAdvanced Functional Materials, Volume 36, Issue 82, 12 October 2026.
A 3D‐printable breast phantom is developed using patient‐derived MRI data and hydrogels that replicate the dielectric properties of healthy and cancerous tissues. Mechanical and dielectric characterization confirm its suitability for microwave imaging.
Carlos M. Andreu   +5 more
wiley   +1 more source

Mammographic density and survival in interval breast cancers [PDF]

open access: yesBreast Cancer Research, 2013
Abstract Introduction Mammographic density (MD) is the strongest risk factor for breast cancer. It is also strongly associated with interval cancers (ICs) due to decreased screening sensitivity and possibly by also giving rise to more aggressive tumors.
Eriksson, Louise   +5 more
openaire   +2 more sources

Background risk of breast cancer and the association between physical activity and mammographic density [PDF]

open access: yes, 2015
This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if ...
Darabi, H   +42 more
core   +2 more sources

Exceptional Locoregional Pathological Response in Metastatic Triple‐Negative Breast Cancer Treated With Palliative Platinum‐Based Chemotherapy

open access: yesClinical Case Reports, Volume 14, Issue 10, October 2026.
ABSTRACT Locoregional pathological complete response with concurrent radiologic metabolic remission following palliative gemcitabine–carboplatin chemotherapy in young, low‐grade metastatic triple‐negative breast cancer patient suggests potential chemosensitivity in select advanced cases, warranting further clinical investigation.
Shristi Gupta   +5 more
wiley   +1 more source

Mammographic density

open access: yes, 2022
This chapter will build upon the previous chapter (Chap. 4) in more detail, it will discuss how mammographic density has been used for risk estimation using an epidemiological approach and how stratifying women based on their mammographic density has ...
Astley, Sue M.; id_orcid   +1 more
core   +1 more source

Imaging Breast Density: Established and Emerging Modalities

open access: yesTranslational Oncology, 2015
Mammographic density has been proven as an independent risk factor for breast cancer. Women with dense breast tissue visible on a mammogram have a much higher cancer risk than women with little density.
Jeon-Hor Chen   +2 more
doaj   +1 more source

Exploratory Analysis of Circulating miR‐486‐3p and miR‐21‐5p in Early Detection and Subtype Classification of Luminal A and B Breast Cancer in Peruvian Women

open access: yesCancer Reports, Volume 9, Issue 10, October 2026.
ABSTRACT Background Breast cancer (BC) remains the most common malignancy among women worldwide, and early detection is essential for improving clinical outcomes. There is a growing need for accessible, minimally invasive molecular biomarkers that complement current diagnostic approaches and support molecular subtype classification.
Desireé Bouroncle   +7 more
wiley   +1 more source

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