Literature DB >> 9404205

The relationship between breast asymmetry, breast size and the occurrence of breast cancer.

D Scutt1, J T Manning, G H Whitehouse, S J Leinster, C P Massey.   

Abstract

Breast cancer is the second most common cancer among women in the world and in developed countries it is the most common. The early identification of women at risk is therefore of great importance and any additional measures which may aid diagnosis, particularly in high risk groups, would be of benefit. Breast volume and breast asymmetry were calculated from mammograms of 250 women with breast cancer and compared with those of 250 age-matched controls. There was evidence that breast cancer patients had more breast asymmetry and larger breasts than age-matched healthy women. The former observation is the first evidence that high breast asymmetry may be a risk factor for breast cancer. Breast asymmetry is likely to be a predictor of, rather than the effect of breast cancer.

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Year:  1997        PMID: 9404205     DOI: 10.1259/bjr.70.838.9404205

Source DB:  PubMed          Journal:  Br J Radiol        ISSN: 0007-1285            Impact factor:   3.039


  21 in total

1.  Prediction of near-term breast cancer risk based on bilateral mammographic feature asymmetry.

Authors:  Maxine Tan; Bin Zheng; Pandiyarajan Ramalingam; David Gur
Journal:  Acad Radiol       Date:  2013-12       Impact factor: 3.173

2.  Left-right analysis of mammary gland development in retinoid X receptor-α+/- mice.

Authors:  Jacqulyne P Robichaux; John W Fuseler; Shrusti S Patel; Steven W Kubalak; Adam Hartstone-Rose; Ann F Ramsdell
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2016-12-19       Impact factor: 6.237

3.  Computerized prediction of risk for developing breast cancer based on bilateral mammographic breast tissue asymmetry.

Authors:  Xingwei Wang; Dror Lederman; Jun Tan; Xiao Hui Wang; Bin Zheng
Journal:  Med Eng Phys       Date:  2011-04-08       Impact factor: 2.242

4.  Association between computed tissue density asymmetry in bilateral mammograms and near-term breast cancer risk.

Authors:  Bin Zheng; Maxine Tan; Pandiyarajan Ramalingam; David Gur
Journal:  Breast J       Date:  2014-03-27       Impact factor: 2.431

5.  Lymphatic drainage and tumour prevalence in the breast: a statistical analysis of symmetry, gender and node field independence.

Authors:  Evan I Blumgart; Roger F Uren; Poul M F Nielsen; Martyn P Nash; Hayley M Reynolds
Journal:  J Anat       Date:  2011-03-31       Impact factor: 2.610

6.  A new approach to develop computer-aided detection schemes of digital mammograms.

Authors:  Maxine Tan; Wei Qian; Jiantao Pu; Hong Liu; Bin Zheng
Journal:  Phys Med Biol       Date:  2015-05-18       Impact factor: 3.609

7.  Applying a new bilateral mammographic density segmentation method to improve accuracy of breast cancer risk prediction.

Authors:  Shiju Yan; Yunzhi Wang; Faranak Aghaei; Yuchen Qiu; Bin Zheng
Journal:  Int J Comput Assist Radiol Surg       Date:  2017-07-19       Impact factor: 2.924

8.  Prenatal DES exposure in relation to breast size.

Authors:  Julie R Palmer; Deborah A Boggs; Elizabeth E Hatch; Rebecca Troisi; Linda Titus-Ernstoff; William C Strohsnitter; Ervin Adam; Robert N Hoover
Journal:  Cancer Causes Control       Date:  2013-06-18       Impact factor: 2.506

9.  Evaluating the Relationship between Body Size and Body Shape with the Risk of Breast Cancer.

Authors:  Samira Ebrahimzadeh Zagami; Nahid Golmakani; Fatemeh Homaei Shandiz; Azadeh Saki
Journal:  Oman Med J       Date:  2013-11

10.  Bilateral mammographic density asymmetry and breast cancer risk: a preliminary assessment.

Authors:  Bin Zheng; Jules H Sumkin; Margarita L Zuley; Xingwei Wang; Amy H Klym; David Gur
Journal:  Eur J Radiol       Date:  2012-05-12       Impact factor: 3.528

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