Literature DB >> 17506654

Breast CT.

Stephen J Glick1.   

Abstract

Breast cancer is a serious disease that accounts for approximately 40,000 deaths per year in the United States. Unfortunately, there is no known cause of breast cancer, and therefore the best way to prevent mortality is early detection. In the past 15 years, breast cancer mortality has been reduced significantly, which is in part due to screening with film-screen mammography. Nonetheless, conventional mammography lacks sensitivity, especially for certain subgroups of women such as those with dense breast tissue, those under 50 years old, and pre- or perimenopausal women. In addition, mammography has a very poor positive predictive value for biopsy, with 70%-90% of biopsies performed turning out negative. By improving visualization of breast tissue, X-ray computerized tomography (CT) of the breast can potentially provide improvements in diagnostic accuracy over conventional mammography. Owing to recent technological developments in digital detector technology, flat-panel CT imagers dedicated to imaging of the breast are now feasible. A number of academic groups are currently researching dedicated breast CT and prototype systems are currently being evaluated in the clinical setting.

Entities:  

Mesh:

Year:  2007        PMID: 17506654     DOI: 10.1146/annurev.bioeng.9.060906.151924

Source DB:  PubMed          Journal:  Annu Rev Biomed Eng        ISSN: 1523-9829            Impact factor:   9.590


  37 in total

1.  Quantification of breast density with spectral mammography based on a scanned multi-slit photon-counting detector: a feasibility study.

Authors:  Huanjun Ding; Sabee Molloi
Journal:  Phys Med Biol       Date:  2012-07-06       Impact factor: 3.609

2.  Three dimensional dose distribution comparison of simple and complex acquisition trajectories in dedicated breast CT.

Authors:  Jainil P Shah; Steve D Mann; Randolph L McKinley; Martin P Tornai
Journal:  Med Phys       Date:  2015-08       Impact factor: 4.071

3.  Impact of lesion segmentation metrics on computer-aided diagnosis/detection in breast computed tomography.

Authors:  Hsien-Chi Kuo; Maryellen L Giger; Ingrid Reiser; Karen Drukker; John M Boone; Karen K Lindfors; Kai Yang; Alexandra Edwards
Journal:  J Med Imaging (Bellingham)       Date:  2014-12-24

4.  Investigation of x-ray spectra for iodinated contrast-enhanced dedicated breast CT.

Authors:  Stephen J Glick; Andrey Makeev
Journal:  J Med Imaging (Bellingham)       Date:  2017-01-26

5.  Measurement of breast tissue composition with dual energy cone-beam computed tomography: a postmortem study.

Authors:  Huanjun Ding; Justin L Ducote; Sabee Molloi
Journal:  Med Phys       Date:  2013-06       Impact factor: 4.071

6.  Level set segmentation of breast masses in contrast-enhanced dedicated breast CT and evaluation of stopping criteria.

Authors:  Hsien-Chi Kuo; Maryellen L Giger; Ingrid Reiser; John M Boone; Karen K Lindfors; Kai Yang; Alexandra Edwards
Journal:  J Digit Imaging       Date:  2014-04       Impact factor: 4.056

7.  Methodology for generating a 3D computerized breast phantom from empirical data.

Authors:  Christina M Li; W Paul Segars; Georgia D Tourassi; John M Boone; James T Dobbins
Journal:  Med Phys       Date:  2009-07       Impact factor: 4.071

Review 8.  Breast cancer imaging: a perspective for the next decade.

Authors:  Andrew Karellas; Srinivasan Vedantham
Journal:  Med Phys       Date:  2008-11       Impact factor: 4.071

9.  Quantitative contrast-enhanced spectral mammography based on photon-counting detectors: A feasibility study.

Authors:  Huanjun Ding; Sabee Molloi
Journal:  Med Phys       Date:  2017-06-28       Impact factor: 4.071

10.  An X-Ray computed tomography/positron emission tomography system designed specifically for breast imaging.

Authors:  John M Boone; Kai Yang; George W Burkett; Nathan J Packard; Shih-ying Huang; Spencer Bowen; Ramsey D Badawi; Karen K Lindfors
Journal:  Technol Cancer Res Treat       Date:  2010-02
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