SU-FF-I-98: Estimating the Volume of Dense Breast Tissue Using a Dual Energy Technique in Digital Mammography

2007 ◽  
Vol 34 (6Part4) ◽  
pp. 2360-2360
Author(s):  
B Liu
Keyword(s):  
Digital Mammography ◽  
Breast Tissue ◽  
Dual Energy ◽  
Dense Breast ◽  
Dense Breast Tissue

scholarly journals Postmenopausal Dense Breasts Maintain Premenopausal Levels of GH and Insulin-like Growth Factor Binding Proteins in Vivo

2020 ◽  
Vol 105 (5) ◽  
pp. 1617-1628 ◽  
Author(s):  
Nina Dabrosin ◽  
Charlotta Dabrosin
Keyword(s):  
Postmenopausal Women ◽  
Breast Density ◽  
Breast Tissue ◽  
Normal Breast Tissue ◽  
Normal Breast ◽  
Dense Breast ◽  
Breast Cancers ◽  
Dense Breast Tissue ◽  
Dense Breasts

Abstract Context Dense breast tissue is associated with 4 to 6 times higher risk of breast cancer by poorly understood mechanisms. No preventive therapy for this high-risk group is available. After menopause, breast density decreases due to involution of the mammary gland. In dense breast tissue, this process is haltered by undetermined biological actions. Growth hormone (GH) and insulin-like binding proteins (IGFBPs) play major roles in normal mammary gland development, but their roles in maintaining breast density are unknown. Objective To reveal in vivo levels of GH, IGFBPs, and other pro-tumorigenic proteins in the extracellular microenvironment in breast cancer, in normal breast tissue with various breast density in postmenopausal women, and premenopausal breasts. We also sought to determine possible correlations between these determinants. Setting and Design Microdialysis was used to collect extracellular in vivo proteins intratumorally from breast cancers before surgery and from normal human breast tissue from premenopausal women and postmenopausal women with mammographic dense or nondense breasts. Results Estrogen receptor positive breast cancers exhibited increased extracellular GH (P < .01). Dense breasts of postmenopausal women exhibited similar levels of GH as premenopausal breasts and significantly higher levels than in nondense breasts (P < .001). Similar results were found for IGFBP-1, -2, -3, and -7 (P < .01) and for IGFBP-6 (P <.05). Strong positive correlations were revealed between GH and IGFBPs and pro-tumorigenic matrix metalloproteinases, urokinase-type plasminogen activator, Interleukin 6, Interleukin 8, and vascular endothelial growth factor in normal breast tissue. Conclusions GH pathways may be targetable for cancer prevention therapeutics in postmenopausal women with dense breast tissue.

A prospective study of an AI-based breast cancer screening solution for resource-constrained settings.

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. e13586-e13586
Author(s):  
Richa Bansal ◽  
Bharat Aggarwal ◽  
Lakshmi Krishnan
Keyword(s):  
Breast Cancer ◽  
Cancer Screening ◽  
Breast Cancer Screening ◽  
Sensitivity And Specificity ◽  
Breast Tissue ◽  
Dense Breast ◽  
Resource Constrained ◽  
Dense Breast Tissue ◽  
Dense Breasts ◽  
Low Sensitivity

e13586 Background: Screening mammography is often found to have low sensitivity in women with high density breast tissues. Alternate modalities of breast USG and MRI require high-quality expensive equipment making the regular screening with these modalities less affordable and accessible, particularly in resource-constrained settings This study evaluates the clinical performance of an AI-based test (Thermalytix) that uses machine learning on breast thermal images which could potentially be a low-cost solution for breast screening in low- and middle-income countries (LMICs). Methods: The prospective comparative study conducted from December 2018 to January 2020 evaluated the performance of Thermalytix in women with dense and non-dense breast tissue who presented for a health check-up at a hospital. All women underwent Thermalytix and mammography. Further investigations were recommended for participants who were reported as positive on either test. Sensitivity and specificity of Thermalytix were evaluated across age-groups, menopausal status, and breast densities. Results: Among the 687 women recruited for the study, 459 women who satisfied the inclusion criteria were included in the analysis. 168 women had ACR categories ‘c’ or ‘d’ dense breasts, of which 37 women had an inconclusive mammography report (BI-RADS 0). Overall, 21 women were detected with breast cancer in the study. Thermalytix demonstrated an overall sensitivity of 95.2% (95% CI, 76.1-99·9) and a specificity of 88.6% (95% CI, 85.2-91.4). Among women with dense breast tissue (n=168), Thermalytix showed a sensitivity of 100% (95% CI, 69.2-100) and a specificity of 81.7% (95% CI, 74.7-87.4). In women with ACR categories ‘c’ and ‘d’ dense breasts, mammography reported 22% of them as inconclusive (BI-RAD 0), while in the same sub-set of the population Thermalytix demonstrated a sensitivity of 100%. Conclusions: The AI-based Thermalytix demonstrated high sensitivity and specificity in the study cohort. It also fared well in women younger than 50 years and pre-menopausal women where routine mammography screening yields low sensitivity. Overall, this study introduces Thermalytix, a promising radiation-free, automated, and privacy-aware test that can supplement mammography for routine screening of women, especially in women with dense breast tissue, and has the potential to influence the clinical practice in LMICs by making breast cancer screening portable and affordable. Performance of Thermalytix and mammography in women with high breast densities (ACR categories ‘c’ and ‘d’ breasts). Clinical trial information: NCT04688086. [Table: see text]

scholarly journals Supplemental MRI Screening for Women with Extremely Dense Breast Tissue

2019 ◽  
Vol 381 (22) ◽  
pp. 2091-2102 ◽  
Author(s):  
Marije F. Bakker ◽  
Stéphanie V. de Lange ◽  
Ruud M. Pijnappel ◽  
Ritse M. Mann ◽  
Petra H.M. Peeters ◽  
...  
Keyword(s):  
Breast Tissue ◽  
Dense Breast ◽  
Dense Breast Tissue

Supplemental Breast Cancer Screening With Molecular Breast Imaging for Women With Dense Breast Tissue

2016 ◽  
Vol 207 (2) ◽  
pp. 450-457 ◽  
Author(s):  
Robin B. Shermis ◽  
Keith D. Wilson ◽  
Malcolm T. Doyle ◽  
Tamara S. Martin ◽  
Dawn Merryman ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Screening ◽  
Breast Cancer Screening ◽  
Breast Imaging ◽  
Breast Tissue ◽  
Dense Breast ◽  
Molecular Breast Imaging ◽  
Dense Breast Tissue

Breast Cancer Screening in the Setting of Dense Breast Tissue

2015 ◽  
Vol 24 (10) ◽  
pp. 855-857 ◽  
Author(s):  
Karen M. Freund ◽  
Carol K. Bates ◽  
Janet B. Henrich
Keyword(s):  
Breast Cancer ◽  
Cancer Screening ◽  
Breast Cancer Screening ◽  
Breast Tissue ◽  
Dense Breast ◽  
Dense Breast Tissue
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