Literature DB >> 15797291

The normal breast and its variations in mammography.

J Stines1, H Tristant.   

Abstract

The mammographic appearance of the breast varies along the lifetime due to physiological modifications or use of hormonal therapies. Density of the glandular tissue is due to amount of cellular elements of the gland and to hydratation of the tissues. Normal variations are encountered as for example breast asymmetry. The currently breast composition should be described with the BI-RADS lexicon classification. Mammary asymmetry is frequent and has to be differentiated from pathologic changes. A good mammographic technique is mandatory for an adequate visualisation of the breast tissues.

Mesh：

Year:  2005        PMID： 15797291     DOI： 10.1016/j.ejrad.2004.11.017

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN： 0720-048X            Impact factor:   3.528


  9 in total

1.  Classification of breast computed tomography data.

Authors:  Thomas R Nelson; Laura I Cerviño; John M Boone; Karen K Lindfors
Journal:  Med Phys       Date:  2008-03       Impact factor: 4.071

2.  Cupping artifact correction and automated classification for high-resolution dedicated breast CT images.

Authors:  Xiaofeng Yang; Shengyong Wu; Ioannis Sechopoulos; Baowei Fei
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3.  3D MRI for Quantitative Analysis of Quadrant Percent Breast Density: Correlation with Quadrant Location of Breast Cancer.

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Journal:  Acad Radiol       Date:  2017-01-26       Impact factor: 3.173

4.  Evaluation of the association between quantitative mammographic density and breast cancer occurred in different quadrants.

Authors:  Siwa Chan; Jeon-Hor Chen; Shunshan Li; Rita Chang; Darh-Cherng Yeh; Ruey-Feng Chang; Lee-Ren Yeh; Jessica Kwong; Min-Ying Su
Journal:  BMC Cancer       Date:  2017-04-17       Impact factor: 4.430

5.  Response of bilateral breasts to the endogenous hormonal fluctuation in a menstrual cycle evaluated using 3D MRI.

Authors:  Jeon-Hor Chen; Siwa Chan; Dah-Cherng Yeh; Peter T Fwu; Muqing Lin; Min-Ying Su
Journal:  Magn Reson Imaging       Date:  2012-12-05       Impact factor: 2.546

6.  Correlation of endogenous hormonal levels, fibroglandular tissue volume and percent density measured using 3D MRI during one menstrual cycle.

Authors:  J H Chen; W P Chen; S Chan; D C Yeh; M Y Su; C E McLaren
Journal:  Ann Oncol       Date:  2013-05-09       Impact factor: 32.976

7.  Effect of taxane-based neoadjuvant chemotherapy on fibroglandular tissue volume and percent breast density in the contralateral normal breast evaluated by 3T MR.

Authors:  Jeon-Hor Chen; Wei-Fan Pan; Julian Kao; Jocelyn Lu; Li-Kuang Chen; Chih-Chen Kuo; Chih-Kai Chang; Wen-Pin Chen; Christine E McLaren; Shadfar Bahri; Rita S Mehta; Min-Ying Su
Journal:  NMR Biomed       Date:  2013-08-12       Impact factor: 4.044

8.  Quantification of Regional Breast Density in Four Quadrants Using 3D MRI-A Pilot Study.

Authors:  Peter T Fwu; Jeon-Hor Chen; Yifan Li; Siwa Chan; Min-Ying Su
Journal:  Transl Oncol       Date:  2015-08       Impact factor: 4.243

9.  Biceps sternalis: a Y-shaped muscle on the anterior chest wall.

Authors:  Seyed Hadi Anjamrooz
Journal:  J Cardiothorac Surg       Date:  2013-03-07       Impact factor: 1.637
  9 in total

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