Literature DB >> 18180229

Breast tomosynthesis: present considerations and future applications.

Jeong Mi Park1, Edmund A Franken, Megha Garg, Laurie L Fajardo, Loren T Niklason.   

Abstract

Mammography is an effective imaging tool for detecting breast cancer at an early stage and is the only screening modality proved to reduce mortality from breast cancer. However, the overlap of tissues depicted on mammograms may create significant obstacles to the detection and diagnosis of abnormalities. Diagnostic testing initiated because of a questionable result at screening mammography frequently causes patients unnecessary anxiety and incurs increased medical costs. Breast tomosynthesis, a new tool that is based on the acquisition of three-dimensional digital image data, could help solve the problem of interpreting mammographic features produced by tissue overlap. Although the technology has not yet been approved by the Food and Drug Administration, breast tomosynthesis has the potential to help reduce recall rates, improve the selection of patients for biopsy, and increase cancer detection rates, especially in patients with dense breasts. Supplemental material available at radiographics.rsnajnls.org/cgi/content/full/27/S231/DC1. Copyright RSNA, 2007.

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Year:  2007        PMID: 18180229     DOI: 10.1148/rg.27si075511

Source DB:  PubMed          Journal:  Radiographics        ISSN: 0271-5333            Impact factor:   5.333


  54 in total

1.  A phantom-based calibration method for digital x-ray tomosynthesis.

Authors:  Hui Miao; Xizeng Wu; Huijuan Zhao; Hong Liu
Journal:  J Xray Sci Technol       Date:  2012       Impact factor: 1.535

Review 2.  [Digital breast tomosynthesis : technical principles, current clinical relevance and future perspectives].

Authors:  K Hellerhoff
Journal:  Radiologe       Date:  2010-11       Impact factor: 0.635

3.  Population of 224 realistic human subject-based computational breast phantoms.

Authors:  David W Erickson; Jered R Wells; Gregory M Sturgeon; Ehsan Samei; James T Dobbins; W Paul Segars; Joseph Y Lo
Journal:  Med Phys       Date:  2016-01       Impact factor: 4.071

4.  Digital Breast Tomosynthesis: State of the Art.

Authors:  Srinivasan Vedantham; Andrew Karellas; Gopal R Vijayaraghavan; Daniel B Kopans
Journal:  Radiology       Date:  2015-12       Impact factor: 11.105

5.  Use of digital tomosynthesis: case report of a suspected scaphoid fracture and technique.

Authors:  Koen Mermuys; Karen Vanslambrouck; Jean Goubau; Luc Steyaert; Jan W Casselman
Journal:  Skeletal Radiol       Date:  2008-06       Impact factor: 2.199

6.  Oblique reconstructions in tomosynthesis. I. Linear systems theory.

Authors:  Raymond J Acciavatti; Andrew D A Maidment
Journal:  Med Phys       Date:  2013-11       Impact factor: 4.071

7.  Diagnostic accuracy of digital breast tomosynthesis versus digital mammography for benign and malignant lesions in breasts: a meta-analysis.

Authors:  Junqiang Lei; Pin Yang; Li Zhang; Yinzhong Wang; Kehu Yang
Journal:  Eur Radiol       Date:  2014-03       Impact factor: 5.315

8.  Digital breast tomosynthesis versus digital mammography: a clinical performance study.

Authors:  Gisella Gennaro; Alicia Toledano; Cosimo di Maggio; Enrica Baldan; Elisabetta Bezzon; Manuela La Grassa; Luigi Pescarini; Ilaria Polico; Alessandro Proietti; Aida Toffoli; Pier Carlo Muzzio
Journal:  Eur Radiol       Date:  2009-12-22       Impact factor: 5.315

9.  Comparison study of reconstruction algorithms for prototype digital breast tomosynthesis using various breast phantoms.

Authors:  Ye-seul Kim; Hye-suk Park; Haeng-Hwa Lee; Young-Wook Choi; Jae-Gu Choi; Hak Hee Kim; Hee-Joung Kim
Journal:  Radiol Med       Date:  2015-09-18       Impact factor: 3.469

10.  Transfer Learning From Convolutional Neural Networks for Computer-Aided Diagnosis: A Comparison of Digital Breast Tomosynthesis and Full-Field Digital Mammography.

Authors:  Kayla Mendel; Hui Li; Deepa Sheth; Maryellen Giger
Journal:  Acad Radiol       Date:  2018-08-01       Impact factor: 3.173

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