Literature DB >> 7355207

Mammographic parenchymal patterns and risk factors for breast cancer.

V L Ernster, S T Sacks, C A Peterson, R J Schweitzer.   

Abstract

A classification scheme to mammographically identify women at high risk for breast cancer proposes four patterns of breast duct prominence: N1 (normal), P1, P2, and DY (dysplasia). The authors investigated the claims of several studies that women who later get breast cancer are more likely than controls to be in the P2 and DY categories, and attempted to determine whether parenchymal patterns are related to known epidemiological risk factors. Mammograms of the noncancerous breast of 102 women with cancer were matched according to age and race with those of 204 controls; the two sets were intermixed and classified by parenchymal type. Patients and controls were similarly distributed by parenchymal type, the majority being P2 and DY. Nulliparous women and women with a family history of breast cancer were those most likely to fall into the P2 and DY categories. The risk estimates associated with these categories vary considerably across studies, and breast parenchymal patterns may be related to other known risk factors.

Entities:  

Mesh:

Year:  1980        PMID: 7355207     DOI: 10.1148/radiology.134.3.7355207

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  5 in total

Review 1.  Mammographic densities as a marker of human breast cancer risk and their use in chemoprevention.

Authors:  N F Boyd; L J Martin; J Stone; C Greenberg; S Minkin; M J Yaffe
Journal:  Curr Oncol Rep       Date:  2001-07       Impact factor: 5.075

2.  Mammographic density does not differ between unaffected BRCA1/2 mutation carriers and women at low-to-average risk of breast cancer.

Authors:  Gretchen L Gierach; Jennifer T Loud; Catherine K Chow; Sheila A Prindiville; Jennifer Eng-Wong; Peter W Soballe; Claudia Giambartolomei; Phuong L Mai; Claudia E Galbo; Kathryn Nichols; Kathleen A Calzone; Celine Vachon; Mitchell H Gail; Mark H Greene
Journal:  Breast Cancer Res Treat       Date:  2010-02-04       Impact factor: 4.872

3.  A clinicopathologic correlation of mammographic parenchymal patterns and associated risk factors for human mammary carcinoma.

Authors:  K I Bland; J G Kuhns; J B Buchanan; P A Dwyer; L F Heuser; C A O'Connor; L A Gray; H C Polk
Journal:  Ann Surg       Date:  1982-05       Impact factor: 12.969

Review 4.  Qualitative Versus Quantitative Mammographic Breast Density Assessment: Applications for the US and Abroad.

Authors:  Stamatia Destounis; Andrea Arieno; Renee Morgan; Christina Roberts; Ariane Chan
Journal:  Diagnostics (Basel)       Date:  2017-05-31

5.  Bias and the association of mammographic parenchymal patterns with breast cancer.

Authors:  N F Boyd; B O'Sullivan; J E Campbell; E Fishell; I Simor; G Cooke; T Germanson
Journal:  Br J Cancer       Date:  1982-02       Impact factor: 7.640

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.