Literature DB >> 7140152

Patterns of breast skin thickness In normal mammograms.

S A Willson, E J Adam, A K Tucker.   

Abstract

Measurement of the mammographic skin thickness over different parts of the breast was performed in 150 normal patients. The patients were divided into three groups based on breast size and the skin thickness in these three groups compared. The results showed that skin thickness decreased with increasing breast size and that the upper limit of normal was greater than the previously quoted normal range at 3.0 mm. Measurement over different parts of the breast showed that medial exceeded lateral skin thickness by up to 100%, and similarly for the inferior and superior measurements. These findings in the normal breast are of importance in deciding on the presence or absence of abnormal skin thickening as an indicator of underlying breast disease.

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Year:  1982        PMID: 7140152     DOI: 10.1016/s0009-9260(82)80407-8

Source DB:  PubMed          Journal:  Clin Radiol        ISSN: 0009-9260            Impact factor:   2.350


  11 in total

1.  Model-based technique for the measurement of skin thickness in mammography.

Authors:  A Katartzis; H Sahli; J Cornelis; S Fotopoulos; G Panayiotakis
Journal:  Med Biol Eng Comput       Date:  2002-03       Impact factor: 2.602

2.  Automatic Tissue Classification for High-resolution Breast CT Images Based on Bilateral Filtering.

Authors:  Xiaofeng Yang; Ioannis Sechopoulos; Baowei Fei
Journal:  Proc SPIE Int Soc Opt Eng       Date:  2011-03-14

3.  The effect of skin thickness determined using breast CT on mammographic dosimetry.

Authors:  Shih-Ying Huang; John M Boone; Kai Yang; Alexander L C Kwan; Nathan J Packard
Journal:  Med Phys       Date:  2008-04       Impact factor: 4.071

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

Authors:  Xiaofeng Yang; Shengyong Wu; Ioannis Sechopoulos; Baowei Fei
Journal:  Med Phys       Date:  2012-10       Impact factor: 4.071

5.  Acoustic beam anomalies in automated breast imaging.

Authors:  Rungroj Jintamethasawat; Xiaohui Zhang; Paul L Carson; Marilyn A Roubidoux; Oliver D Kripfgans
Journal:  J Med Imaging (Bellingham)       Date:  2017-10-12

6.  Dosimetry in x-ray-based breast imaging.

Authors:  David R Dance; Ioannis Sechopoulos
Journal:  Phys Med Biol       Date:  2016-09-12       Impact factor: 3.609

7.  A minimum spanning forest based classification method for dedicated breast CT images.

Authors:  Robert Pike; Ioannis Sechopoulos; Baowei Fei
Journal:  Med Phys       Date:  2015-11       Impact factor: 4.071

8.  Technical note: Skin thickness measurements using high-resolution flat-panel cone-beam dedicated breast CT.

Authors:  Linxi Shi; Srinivasan Vedantham; Andrew Karellas; Avice M O'Connell
Journal:  Med Phys       Date:  2013-03       Impact factor: 4.071

9.  Segmentation of the breast skin and its influence in the simulation of the breast compression during an X-ray mammography.

Authors:  J A Solves Llorens; M J Rupérez; C Monserrat; E Feliu; M García; M Lloret
Journal:  ScientificWorldJournal       Date:  2012-05-02

10.  Dose estimation for different skin models in interstitial breast brachytherapy.

Authors:  Judyta Lasota; Renata Kabacińska; Roman Makarewicz
Journal:  J Contemp Brachytherapy       Date:  2014-06-03
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