Breast tissue composition and breast density measurements from ultrasound tomography

Author(s):  
Mark Sak ◽  
Neb Duric ◽  
Norman Boyd ◽  
Peter Littrup ◽  
Erik West ◽  
...  
2013 ◽  
Author(s):  
Mark Sak ◽  
Neb Duric ◽  
Peter Littrup ◽  
Cuiping Li ◽  
Lisa Bey-Knight ◽  
...  

2015 ◽  
Author(s):  
Mark Sak ◽  
Neb Duric ◽  
Peter Littrup ◽  
Lisa Bey-Knight ◽  
Mark Krycia ◽  
...  

2013 ◽  
Vol 40 (1) ◽  
pp. 013501 ◽  
Author(s):  
Neb Duric ◽  
Norman Boyd ◽  
Peter Littrup ◽  
Mark Sak ◽  
Lukasz Myc ◽  
...  

2015 ◽  
Vol 17 (S1) ◽  
Author(s):  
Elizabeth O'Flynn ◽  
Jeremie Fromageau ◽  
Minty Ledger ◽  
Alessandro Messa ◽  
Ashley D'Aquino ◽  
...  

Author(s):  
Wolfram Malter ◽  
Bo Jan Bachmann ◽  
Barbara Krug ◽  
Martin Hellmich ◽  
Max Zinser ◽  
...  

Abstract Background The current methods for calculating the ideal implant volume for breast reconstruction are based on pre- or intraoperative volume measurements of the existing breast volume and do not take into account the individual breast density of the woman. This study aims is to identify objective parameters that can help to improve the optimal implant selection. Materials and methods This retrospective analysis includes 198 breast cancer patients who underwent mastectomy. Breast densities (ACR) measured in mammography and MRI were compared with the removed breast tissue weight and volume of the implants used. In addition, the resected weight was compared directly with the implant volume to calculate a mathematical function. Results There was no significant correlation between the ACR values and the resected weights [correlation coefficient: mammography:− 0.117 (p = 0.176), MRI − 0.033 (p = 0.756)]. A negative correlation between the implant volumes and both imaging methods could be demonstrated [correlation coefficient: mammography − 0.268; p = 0.002; MRI was − 0.200 (p = 0.055)]. A highly significant correlation between the resected weights and the implant volumes (correlation coefficient 0.744; p < 0.001) was observed. This correlation corresponds to a power function (y = 34.71 x0.39), in which any resected weight can be used for the variable x to calculate the implant volume. Conclusion We were able to show that there is a significant correlation between the resected breast tissue and the implant volume. With our novel potency function, the appropriate implant volume can be calculated for any resected weight making it easier for the surgeon to choose a fitting implant in a simple and more objective manner.


2020 ◽  
Vol 105 (5) ◽  
pp. 1617-1628 ◽  
Author(s):  
Nina Dabrosin ◽  
Charlotta Dabrosin

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 &lt; .01). Dense breasts of postmenopausal women exhibited similar levels of GH as premenopausal breasts and significantly higher levels than in nondense breasts (P &lt; .001). Similar results were found for IGFBP-1, -2, -3, and -7 (P &lt; .01) and for IGFBP-6 (P &lt;.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.


2020 ◽  
pp. cebp.1348.2020
Author(s):  
Hannah Oh ◽  
Lusine Yaghjyan ◽  
Rebecca J Austin-Datta ◽  
Yujing J Heng ◽  
Gabrielle M Baker ◽  
...  

Radiology ◽  
2015 ◽  
Vol 275 (2) ◽  
pp. 366-376 ◽  
Author(s):  
Olivier Alonzo-Proulx ◽  
Gordon E. Mawdsley ◽  
James T. Patrie ◽  
Martin J. Yaffe ◽  
Jennifer A. Harvey

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