Literature DB >> 20129267

Breast cancer screening with imaging: recommendations from the Society of Breast Imaging and the ACR on the use of mammography, breast MRI, breast ultrasound, and other technologies for the detection of clinically occult breast cancer.

Carol H Lee1, D David Dershaw, Daniel Kopans, Phil Evans, Barbara Monsees, Debra Monticciolo, R James Brenner, Lawrence Bassett, Wendie Berg, Stephen Feig, Edward Hendrick, Ellen Mendelson, Carl D'Orsi, Edward Sickles, Linda Warren Burhenne.   

Abstract

Screening for breast cancer with mammography has been shown to decrease mortality from breast cancer, and mammography is the mainstay of screening for clinically occult disease. Mammography, however, has well-recognized limitations, and recently, other imaging including ultrasound and magnetic resonance imaging have been used as adjunctive screening tools, mainly for women who may be at increased risk for the development of breast cancer. The Society of Breast Imaging and the Breast Imaging Commission of the ACR are issuing these recommendations to provide guidance to patients and clinicians on the use of imaging to screen for breast cancer. Wherever possible, the recommendations are based on available evidence. Where evidence is lacking, the recommendations are based on consensus opinions of the fellows and executive committee of the Society of Breast Imaging and the members of the Breast Imaging Commission of the ACR. Copyright 2010 American College of Radiology. Published by Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20129267     DOI: 10.1016/j.jacr.2009.09.022

Source DB:  PubMed          Journal:  J Am Coll Radiol        ISSN: 1546-1440            Impact factor:   5.532


  180 in total

1.  Linear and nonlinear elastic modulus imaging: an application to breast cancer diagnosis.

Authors:  Sevan Goenezen; Jean-Francois Dord; Zac Sink; Paul E Barbone; Jingfeng Jiang; Timothy J Hall; Assad A Oberai
Journal:  IEEE Trans Med Imaging       Date:  2012-05-30       Impact factor: 10.048

2.  Optimized generation of high resolution breast anthropomorphic software phantoms.

Authors:  David D Pokrajac; Andrew D A Maidment; Predrag R Bakic
Journal:  Med Phys       Date:  2012-04       Impact factor: 4.071

3.  Characteristics of US counties with no mammography capacity.

Authors:  Lucy A Peipins; Jacqueline Miller; Thomas B Richards; Janet Kay Bobo; Ta Liu; Mary C White; Djenaba Joseph; Florence Tangka; Donatus U Ekwueme
Journal:  J Community Health       Date:  2012-12

4.  An analysis of the mechanical parameters used for finite element compression of a high-resolution 3D breast phantom.

Authors:  Christina M L Hsu; Mark L Palmeri; W Paul Segars; Alexander I Veress; James T Dobbins
Journal:  Med Phys       Date:  2011-10       Impact factor: 4.071

5.  Utilization of breast cancer screening with magnetic resonance imaging in community practice.

Authors:  Deirdre A Hill; Jennifer S Haas; Robert Wellman; Rebecca A Hubbard; Christoph I Lee; Jennifer Alford-Teaster; Karen J Wernli; Louise M Henderson; Natasha K Stout; Anna N A Tosteson; Karla Kerlikowske; Tracy Onega
Journal:  J Gen Intern Med       Date:  2017-12-06       Impact factor: 5.128

Review 6.  Key Elements of Mammography Shared Decision-Making: a Scoping Review of the Literature.

Authors:  Lori L DuBenske; Sarina B Schrager; Mary E Hitchcock; Amanda K Kane; Terry A Little; Helene E McDowell; Elizabeth S Burnside
Journal:  J Gen Intern Med       Date:  2018-07-20       Impact factor: 5.128

7.  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

8.  Breast Cancer Screening in Primary Care: A Call for Development and Validation of Patient-Oriented Shared Decision-Making Tools.

Authors:  Sarina Schrager; Elizabeth Burnside
Journal:  J Womens Health (Larchmt)       Date:  2018-05-14       Impact factor: 2.681

9.  Differentiation of malignant and benign breast lesions using magnetization transfer imaging and dynamic contrast-enhanced MRI.

Authors:  Samantha L Heller; Linda Moy; Sherlin Lavianlivi; Melanie Moccaldi; Sungheon Kim
Journal:  J Magn Reson Imaging       Date:  2012-10-23       Impact factor: 4.813

Review 10.  Radiological images and machine learning: Trends, perspectives, and prospects.

Authors:  Zhenwei Zhang; Ervin Sejdić
Journal:  Comput Biol Med       Date:  2019-02-27       Impact factor: 4.589

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