scholarly journals Molecular breast imaging and background uptake of fibroglandular tissue as tools to predict neoplasms in dense breasts

Mastology ◽  
2021 ◽  
Vol 31 ◽  
Author(s):  
Carla Lima Santos Viviani ◽  
Lucimara Priscila Veras ◽  
Dionísio Nepomuceno Viviani ◽  
Amanda Sofia Silva Mascarenhas ◽  
Rivadávio Fernandes Batista de Amorim

The sensitivity of mammography as a screening method is low in dense breasts, which are associated with a high risk of developing tumors. Thus, molecular breast imaging (MBI) with background uptake (BPU) of fibroglandular tissue can be used as a complementary method. The aim of this review was to synthesize the existing evidence on these important diagnostic imaging tools. Three electronic databases were searched to identify original articles, including publications dating from September 2010 and September 2020, in English, conducted in any location, and addressing at least one aspect related to dense breasts and Breast-specific gamma-imaging (BSGI). In total, 22 studies were reviewed. Several advantages of MBI and BPU as complementary methods of screening for dense breasts were found. Among them, we can mention the increase in breast cancer detection rate, easy implementation in clinical practice, high patient satisfaction, low cost and good reproducibility. In view of the good results found in our review, we can conclude that the implementation of MBI, especially with BPU, can be a promising complementary tool for screening of dense breasts.

2019 ◽  
Vol 7 (3) ◽  
pp. 442-444 ◽  
Author(s):  
Naziya Samreen ◽  
Katie N. Hunt ◽  
Carrie B. Hruska ◽  
Deborah J. Rhodes

2015 ◽  
Vol 204 (2) ◽  
pp. 241-251 ◽  
Author(s):  
Deborah J. Rhodes ◽  
Carrie B. Hruska ◽  
Amy Lynn Conners ◽  
Cindy L. Tortorelli ◽  
Robert W. Maxwell ◽  
...  

2020 ◽  
Vol 2 (3) ◽  
pp. 188-200 ◽  
Author(s):  
R Edward Hendrick

Abstract This article describes radiation doses and cancer risks of digital breast imaging technologies used for breast cancer detection. These include digital mammography (DM), digital breast tomosynthesis (DBT), and newer technologies such as contrast-enhanced digital or spectral mammography (CEM), whole-breast computed tomography, breast-specific gamma imaging (BSGI), molecular breast imaging (MBI), and positron emission mammography (PEM). This article describes the basis for radiation risk estimates, compares radiation doses and risks, and provides benefit-to-radiation-risk ratios for different breast imaging modalities that use ionizing radiation. Current x-ray–based screening modalities such as DM and DBT have small to negligible risks of causing radiation-induced cancers in women of normal screening age. Possible new screening modalities such as CEM have similar small cancer risks. Potential screening modalities that involve radionuclide injection such as BSGI, MBI, and PEM have significantly higher cancer risks unless efficient detection systems and reduced administered doses are used. Benefit-to-radiation-risk estimates are highly favorable for screening with DM and other modalities having comparable (or higher) cancer detection rates and comparably low radiation doses.


2012 ◽  
Vol 198 (1) ◽  
pp. W69-W75 ◽  
Author(s):  
Jean M. Weigert ◽  
Margaret L. Bertrand ◽  
Leora Lanzkowsky ◽  
Lillian H. Stern ◽  
Douglas A. Kieper

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