Abstract B27: Interaction of mammographic breast density with menopausal status and postmenopausal hormone use in relation to the risk of aggressive breast cancer subtypes

2017 ◽  
Author(s):  
Lusine Yaghjyan ◽  
Rulla Tamimi ◽  
Kimberly Bertrand ◽  
Christopher G. Scott ◽  
Matthew R. Jensen ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Breast Density ◽  
Menopausal Status ◽  
Breast Cancer Subtypes ◽  
Mammographic Breast Density ◽  
Postmenopausal Hormone ◽  
Cancer Subtypes ◽  
Hormone Use ◽  
Aggressive Breast Cancer

scholarly journals Associations of mammographic breast density with breast stem cell marker-defined breast cancer subtypes

2019 ◽  
Vol 30 (10) ◽  
pp. 1103-1111 ◽  
Author(s):  
Lusine Yaghjyan ◽  
Ashwini K. Esnakula ◽  
Christopher G. Scott ◽  
Akemi T. Wijayabahu ◽  
Matthew R. Jensen ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Stem Cell ◽  
Breast Density ◽  
Breast Cancer Subtypes ◽  
Stem Cell Marker ◽  
Mammographic Breast Density ◽  
Cell Marker ◽  
Cancer Subtypes ◽  
Breast Stem Cell

scholarly journals Interactions of alcohol and postmenopausal hormone use in regards to mammographic breast density

2018 ◽  
Vol 29 (8) ◽  
pp. 751-758
Author(s):  
Lusine Yaghjyan ◽  
Graham Colditz ◽  
Heather Eliassen ◽  
Bernard Rosner ◽  
Aleksandra Gasparova ◽  
...  
Keyword(s):  
Breast Density ◽  
Mammographic Breast Density ◽  
Postmenopausal Hormone ◽  
Hormone Use

Mammographic Breast Density: Effect on Imaging and Breast Cancer Risk

2010 ◽  
Vol 8 (10) ◽  
pp. 1157-1165 ◽  
Author(s):  
Renee W. Pinsky ◽  
Mark A. Helvie
Keyword(s):  
Breast Cancer ◽  
Breast Density ◽  
Menopausal Status ◽  
Masking Effect ◽  
Mammographic Breast Density ◽  
Ultrasound Screening ◽  
High Risk Women ◽  
Dense Breasts ◽  
Reduction Strategies ◽  
Risk Reduction Strategies

Mammographic breast density has been studied for more than 30 years. Greater breast density not only is related to decreased sensitivity of mammograms because of a masking effect but also is a major independent risk factor for breast cancer. This article defines breast density and reviews literature on quantification of mammographic density that is key to future clinical and research protocols. Important influences on breast density are addressed, including age, menopausal status, exogenous hormones, and genetics of density. Young women with dense breasts benefit from digital mammographic technique. The potential use of supplemental MRI and ultrasound screening techniques in high-risk women and women with dense breasts is explored, as are potential risk reduction strategies.

Association of adiposity, dysmetabolisms, and inflammation with aggressive breast cancer subtypes: a cross-sectional study

2016 ◽  
Vol 157 (1) ◽  
pp. 179-189 ◽  
Author(s):  
Roberto Agresti ◽  
Elisabetta Meneghini ◽  
Paolo Baili ◽  
Pamela Minicozzi ◽  
Alberto Turco ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cross Sectional Study ◽  
Breast Cancer Subtypes ◽  
Sectional Study ◽  
Cross Sectional ◽  
Cancer Subtypes ◽  
Aggressive Breast Cancer

scholarly journals Correlation Between Mammographic Breast Density, Breast Tissue Type in Ultrasonography, Fibroglandular Tissue, and Background Parenchymal Enhancement in Magnetic Resonance Imaging

2018 ◽  
Vol 12 ◽  
pp. 117822341877197 ◽  
Author(s):  
Afsaneh Alikhassi ◽  
Seyedeh Nooshin Miratashi Yazdi ◽  
Hedieh Akbari ◽  
Sona Akbari Kia ◽  
Masoud Baikpour
Keyword(s):  
Breast Cancer ◽  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Breast Density ◽  
Menopausal Status ◽  
Mammographic Breast Density ◽  
Resonance Imaging ◽  
Imaging Studies ◽  
Background Parenchymal Enhancement ◽  
Parenchymal Enhancement

Objective: Breast cancer is the most common malignancy in the female population, and imaging studies play a critical role for its early detection. Mammographic breast density (MBD) is one of the markers used to predict the risk stratification of breast cancer in patients. We aimed to assess the correlations among MBD, ultrasound breast composition (USBC), fibroglandular tissue (FGT), and the amount of background parenchymal enhancement (BPE) in magnetic resonance imaging, after considering the subjects’ menopausal status. Methods: In this retrospective cross-sectional study, the medical records’ archives in a tertiary referral hospital were reviewed. Data including age, menopausal status, their mammograms, and ultrasound assessments were extracted from their records. All of their imaging studies were reviewed, and MBD, USBC, FGT, and BPE were determined, recorded, and entered into SPSS software for analysis. Results: A total of 121 women (mean age = 42.7 ± 11.0 years) were included, of which 35 out of 115 (30.4%) had reached menopause. Using the Jonckheere-Terpstra test for evaluating the trends among above mentioned 4 radiologic characteristics in the total sample population, a significant positive relation was found between each of these paired variables: (1) USBC-MBD ( P = .006), (2) FGT-MBD ( P = .001), (3) USBC-BPE ( P = .046), (4) USBC-FGT ( P = .036), and (5) BPE-FGT ( P < .001). These trends were not found to be significant among premenopausal subjects. Conclusions: Considering the trends between different measures of breast density in the 3 radiologic modalities, these factors can be used interchangeably in certain settings.

Volumetric breast density, breast cancer subtypes and race.

2016 ◽  
Vol 34 (15_suppl) ◽  
pp. e12067-e12067
Author(s):  
Hitesh Shivalingappa ◽  
Mahvish Muzaffar ◽  
Kathryn Verbanac ◽  
Nasreen A. Vohra
Keyword(s):  
Breast Cancer ◽  
Breast Density ◽  
Breast Cancer Subtypes ◽  
Cancer Subtypes
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