Literature DB >> 16787114

Breast CT: potential for breast cancer screening and diagnosis.

John M Boone1, Karen K Lindfors.   

Abstract

Although screening mammography has been shown to be effective in reducing breast cancer mortality, a new technique called breast computed tomography (CT) is being studied in the hope that breast cancer can be detected even earlier. A prototype unit has been designed, fabricated and tested at the University of California, Davis, USA, and is currently being used in a Phase II clinical trial to study the feasibility of breast CT for breast cancer detection and diagnosis. A total of 46 volunteers and patients have been imaged, and the breast CT images show impressive anatomical detail of the breast that is not appreciated in mammography. The radiation dose levels needed to produce excellent image quality are equal to two-view mammography. Further study of breast CT is needed to better understand its potential role in breast cancer screening and diagnosis.

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Year:  2006        PMID: 16787114     DOI: 10.2217/14796694.2.3.351

Source DB:  PubMed          Journal:  Future Oncol        ISSN: 1479-6694            Impact factor:   3.404


  15 in total

1.  High-Fidelity Modeling of Detector Lag and Gantry Motion in CT Reconstruction.

Authors:  Steven Tilley; Alejandro Sisniega; Jeffrey H Siewerdsen; J Webster Stayman
Journal:  Conf Proc Int Conf Image Form Xray Comput Tomogr       Date:  2018-05

2.  High resolution dual detector volume-of-interest cone beam breast CT--Demonstration with a bench top system.

Authors:  Youtao Shen; Ying Yi; Yuncheng Zhong; Chao-Jen Lai; Xinming Liu; Zhicheng You; Shuaiping Ge; Tianpeng Wang; Chris C Shaw
Journal:  Med Phys       Date:  2011-12       Impact factor: 4.071

3.  Clinical application of low-dose phase contrast breast CT: methods for the optimization of the reconstruction workflow.

Authors:  S Pacilè; F Brun; C Dullin; Y I Nesterest; D Dreossi; S Mohammadi; M Tonutti; F Stacul; D Lockie; F Zanconati; A Accardo; G Tromba; T E Gureyev
Journal:  Biomed Opt Express       Date:  2015-07-29       Impact factor: 3.732

4.  Computer modeling of the spatial resolution properties of a dedicated breast CT system.

Authors:  Kai Yang; Alexander L C Kwan; John M Boone
Journal:  Med Phys       Date:  2007-06       Impact factor: 4.071

5.  Noise power properties of a cone-beam CT system for breast cancer detection.

Authors:  Kai Yang; Alexander L C Kwan; Shih-Ying Huang; Nathan J Packard; John M Boone
Journal:  Med Phys       Date:  2008-12       Impact factor: 4.071

6.  Cone beam breast CT with a high pitch (75 μm), thick (500 μm) scintillator CMOS flat panel detector: visibility of simulated microcalcifications.

Authors:  Youtao Shen; Yuncheng Zhong; Chao-Jen Lai; Tianpeng Wang; Chris C Shaw
Journal:  Med Phys       Date:  2013-10       Impact factor: 4.071

7.  X-ray phase-contrast imaging of the breast--advances towards clinical implementation.

Authors:  S D Auweter; J Herzen; M Willner; S Grandl; K Scherer; F Bamberg; M F Reiser; F Pfeiffer; K Hellerhoff
Journal:  Br J Radiol       Date:  2014-02       Impact factor: 3.039

8.  Non-Gaussian statistical properties of breast images.

Authors:  Craig K Abbey; Anita Nosrateih; Jascha Sohl-Dickstein; Kai Yang; John M Boone
Journal:  Med Phys       Date:  2012-11       Impact factor: 4.071

9.  Anatomical complexity in breast parenchyma and its implications for optimal breast imaging strategies.

Authors:  Lin Chen; Craig K Abbey; Anita Nosratieh; Karen K Lindfors; John M Boone
Journal:  Med Phys       Date:  2012-03       Impact factor: 4.071

10.  Noise, sampling, and the number of projections in cone-beam CT with a flat-panel detector.

Authors:  Z Zhao; G J Gang; J H Siewerdsen
Journal:  Med Phys       Date:  2014-06       Impact factor: 4.071

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