Results 71 to 80 of about 2,635,242 (210)

Factors That Influence Changes in Mammographic Density With Postmenopausal Hormone Therapy

Taiwanese Journal of Obstetrics & Gynecology, 2010
Objective: To evaluate the relationship between mammographic density and clinical factors in postmenopausal women using hormone therapy (HT). Materials and Methods: Retrospective study of 467 postmenopausal women who received continuous estrogen or ...
Fang-Ping Chen, Yun-Chung Cheung, Yung-Kui Soong   +2 more
doaj   +1 more source

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

Medical 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, Lucas R. Borges, Silvia M. P. S. Sabino, Renato F. Caron, Alessandro Foi, Predrag R. Bakic, Anders Tingberg, Marcelo A. C. Vieira   +7 more
wiley   +1 more source

Table S3 from Heritability of Mammographic Breast Density, Density Change, Microcalcifications, and Masses

, 2020
Univariate ACE estimates for % mammographic ...
Mikael Eriksson (14933217), Kamila Czene (77258), Natalie Holowko (14943321), Ralf Kuja-Halkola (14943324), Per Hall (14933238), Shadi Azam (14943327), Wei He (131453)   +6 more
core   +1 more source

Mammographic Breast Density and Common Genetic Variants in Breast Cancer Risk Prediction. [PDF]

PLoS ONE, 2015
INTRODUCTION:Known prediction models for breast cancer can potentially by improved by the addition of mammographic density and common genetic variants identified in genome-wide associations studies known to be associated with risk of the disease.
Charmaine Pei Ling Lee, Hyungwon Choi, Khee Chee Soo, Min-Han Tan, Wen Yee Chay, Kee Seng Chia, Jenny Liu, Jingmei Li, Mikael Hartman   +8 more
doaj   +1 more source

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

Advanced 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, Daniel Álvarez Sánchez‐Bayuela, Gianluigi Tiberi, Eliana Canicattì, Agostino Monorchio, Ester Vázquez   +5 more
wiley   +1 more source

Mammographic density and markers of socioeconomic status: a cross-sectional study

BMC Cancer, 2010
Background Socioeconomic status (SES) is known to be positively associated with breast cancer risk but its relationship with mammographic density, a marker of susceptibility to breast cancer, is unclear.
Moss Sue M, Wark Petra A, Stegeman Bernardine H, Walker Kate, Aitken Zoe, McCormack Valerie A, dos Santos Silva Isabel   +6 more
doaj   +1 more source

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

Clinical 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, Abhisek Jha, Asmita Rayamajhi, Aron Neupane, Kshitiz Parajuli, Manash Jha   +5 more
wiley   +1 more source

Assessing Biomarkers of Breast Cancer Risk in Underserved Women in a Midwestern County

Journal of Primary Care & Community Health, 2021
Objective: The primary aim of this study was to evaluate the feasibility of collecting risk factor information and accessing digitized mammographic data in a medically marginalized population.
Marla A. DeWitt, Ivana T. Croghan, Celine M. Vachon, Thomas D. Thacher, Marcia R. Venegas Pont, Lonzetta Neal, Daniela L. Stan, Sarah M. Jenkins, Sandhya Pruthi   +8 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

Cancer 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, Gustavo Colque, Luis Huaytalla‐Bautista, María Claudia Flores‐Berrospi, Carla Bernal, Ivan Belzusarri, Jorge Dunstan, Mónica Paredes‐Anaya   +7 more
wiley   +1 more source

Mammographic densities and risk of breast cancer [PDF]

Cancer, 1991
To determine the relation of mammographic densities to subsequent breast cancer risk, a case-control study was undertaken using prediagnostic mammograms of screening program participants. Mammograms of cases (n = 266) and controls (n = 301) were blindly assessed for mammographic densities, which were measured by planimetry.
A F, Saftlas, R N, Hoover, L A, Brinton, M, Szklo, D R, Olson, M, Salane, J N, Wolfe   +6 more
openaire   +2 more sources