Literature DB >> 25615747

Screening for dense breasts: digital breast tomosynthesis.

Stamatia V Destounis1, Renee Morgan, Andrea Arieno.   

Abstract

OBJECTIVE. Digital breast tomosynthesis (DBT) is a recent imaging technology that was developed to address the limitations of conventional 2D mammography. The limitations of standard mammography are well known and include reduced sensitivity in dense breasts. Clinical research studies of DBT and the implementation of DBT have revealed that DBT has potential benefits for evaluating patients with dense breasts. This article will discuss the benefits and limitations of DBT as a screening alternative for women with dense breasts. CONCLUSION. Studies to date have revealed that the use of DBT reduces recall rates and increases cancer detection rates. This has been demonstrated with the use of DBT for both screening and diagnostic purposes, as well as with imaging dense breasts. DBT has the ability to reduce breast tissue overlap, thus potentially revealing lesions that would otherwise have been missed. The limitations of DBT include longer interpretation times, higher costs, and increased radiation dose. These limitations present challenges that radiologists must consider before DBT implementation.

Entities:  

Keywords:  breast density; breast imaging; digital breast tomosynthesis; mammography; screening

Mesh:

Year:  2015        PMID: 25615747     DOI: 10.2214/AJR.14.13554

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  5 in total

1.  Quantitative assessment of microcalcification cluster image quality in digital breast tomosynthesis, 2-dimensional and synthetic mammography.

Authors:  Andreas E Petropoulos; Spyros G Skiadopoulos; Anna N Karahaliou; Gerasimos A T Messaris; Nikolaos S Arikidis; Lena I Costaridou
Journal:  Med Biol Eng Comput       Date:  2019-12-07       Impact factor: 2.602

2.  Characterization of lesions in dense breasts: Does tomosynthesis help?

Authors:  Krithika Rangarajan; Smriti Hari; Sanjay Thulkar; Sanjay Sharma; Anurag Srivastava; Rajinder Parshad
Journal:  Indian J Radiol Imaging       Date:  2016 Apr-Jun

3.  Predictive factors for sentinel node metastases in primary invasive breast cancer: a population-based cohort study of 2552 consecutive patients.

Authors:  Shabaz Majid; Lisa Rydén; Jonas Manjer
Journal:  World J Surg Oncol       Date:  2018-03-12       Impact factor: 2.754

Review 4.  Qualitative Versus Quantitative Mammographic Breast Density Assessment: Applications for the US and Abroad.

Authors:  Stamatia Destounis; Andrea Arieno; Renee Morgan; Christina Roberts; Ariane Chan
Journal:  Diagnostics (Basel)       Date:  2017-05-31

5.  Multimodality Imaging of Breast Parenchymal Density and Correlation with Risk Assessment.

Authors:  Georg J Wengert; Thomas H Helbich; Doris Leithner; Elizabeth A Morris; Pascal A T Baltzer; Katja Pinker
Journal:  Curr Breast Cancer Rep       Date:  2019-01-17
  5 in total

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