Literature DB >> 6526847

Breast skin thickness: normal range and causes of thickening shown on film-screen mammography.

T L Pope, M E Read, T Medsker, A J Buschi, A N Brenbridge.   

Abstract

We measured breast skin thickness on the film-screen mammograms of 250 asymptomatic women and found a normal range of 0.7-2.3 mm in the superior quadrant and 0.7-2.7 mm in the inferior quadrant as measured on the mediolateral view and 0.6-2.4 mm in the medial quadrant and 0.5-2.1 mm in the lateral quadrant as measured on the craniocaudad view. In our experience a skin thickness of greater than 2.5 mm suggests the presence of disease. Causes of skin thickening in our series of 44 patients included carcinoma, metastases, post radiation therapy, post surgery, infection, and anasarca. Other reported causes are trauma, fat necrosis, dermatologic conditions, and lymphoma.

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Year:  1984        PMID: 6526847

Source DB:  PubMed          Journal:  J Can Assoc Radiol        ISSN: 0008-2902


  16 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.  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.  A general method for cupping artifact correction of cone-beam breast computed tomography images.

Authors:  Xiaolei Qu; Chao-Jen Lai; Yuncheng Zhong; Ying Yi; Chris C Shaw
Journal:  Int J Comput Assist Radiol Surg       Date:  2015-10-29       Impact factor: 2.924

4.  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

5.  Development and characterization of an anthropomorphic breast software phantom based upon region-growing algorithm.

Authors:  Predrag R Bakic; Cuiping Zhang; Andrew D A Maidment
Journal:  Med Phys       Date:  2011-06       Impact factor: 4.071

6.  Generation of anatomically realistic numerical phantoms for photoacoustic and ultrasonic breast imaging.

Authors:  Yang Lou; Weimin Zhou; Thomas P Matthews; Catherine M Appleton; Mark A Anastasio
Journal:  J Biomed Opt       Date:  2017-04-01       Impact factor: 3.170

7.  Dedicated breast computed tomography: volume image denoising via a partial-diffusion equation based technique.

Authors:  Jessie Q Xia; Joseph Y Lo; Kai Yang; Carey E Floyd; John M Boone
Journal:  Med Phys       Date:  2008-05       Impact factor: 4.071

8.  Three-dimensional microwave breast imaging: dispersive dielectric properties estimation using patient-specific basis functions.

Authors:  David W Winters; Jacob D Shea; Panagiotis Kosmas; Barry D Van Veen; Susan C Hagness
Journal:  IEEE Trans Med Imaging       Date:  2009-02-10       Impact factor: 10.048

9.  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

10.  Development of anatomically realistic numerical breast phantoms with accurate dielectric properties for modeling microwave interactions with the human breast.

Authors:  Earl Zastrow; Shakti K Davis; Mariya Lazebnik; Frederick Kelcz; Barry D Van Veen; Susan C Hagness
Journal:  IEEE Trans Biomed Eng       Date:  2008-12       Impact factor: 4.538

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