Literature DB >> 3873788

Mammographic parenchymal patterns: value as a predictor of hormone dependency and survival in breast cancer.

C P Hinton, E J Roebuck, M R Williams, R W Blamey, J Glaves, R I Nicholson, K Griffiths.   

Abstract

The relation between the parenchymal pattern of the breasts as demonstrated on a mammogram and the estrogen-receptor status of the primary tumor in 337 patients with operable invasive breast cancer has been studied. These factors have also been correlated with the response to endocrine therapy in 92 patients who subsequently developed secondary disease. It has been shown that patients with a DY pattern are more likely to develop tumors that are estrogen-receptor (ER) positive (p = 0.01). Patients with secondary disease who have a DY pattern are more likely to respond to endocrine therapy (p = 0.001). The DY pattern has been shown to be at least as good an indicator of the probability of response to endocrine therapy as the estrogen-receptor status, and a combination of the two factors better than either taken singly. In a series of 141 postmenopausal women, the DY pattern, as determined at the time of mastectomy, was associated with significantly improved survival (p = 0.001). Mammographic parenchymal pattern could form the basis for selecting patients for endocrine therapy where no estrogen-receptor assay is available.

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Year:  1985        PMID: 3873788     DOI: 10.2214/ajr.144.6.1103

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  6 in total

1.  Mammographic breast density and subsequent risk of breast cancer in postmenopausal women according to tumor characteristics.

Authors:  Lusine Yaghjyan; Graham A Colditz; Laura C Collins; Stuart J Schnitt; Bernard Rosner; Celine Vachon; Rulla M Tamimi
Journal:  J Natl Cancer Inst       Date:  2011-07-27       Impact factor: 13.506

2.  Age as a confounding factor in the association of mammographic dysplasia and estrogen receptor concentration in breast cancer.

Authors:  N F Boyd; E Fishell; K Tonkin; B G Mobbs
Journal:  Breast Cancer Res Treat       Date:  1987-10       Impact factor: 4.872

3.  Dietary habits and mammographic patterns in patients with breast cancer.

Authors:  E Nordevang; E Azavedo; G Svane; B Nilsson; L E Holm
Journal:  Breast Cancer Res Treat       Date:  1993       Impact factor: 4.872

4.  Prediction of hormone responsiveness by mammographic parenchymal pattern in advanced primary breast cancer.

Authors:  N S Nielsen; J Andersen; H S Poulsen; O Mathiessen
Journal:  Breast Cancer Res Treat       Date:  1992       Impact factor: 4.872

Review 5.  Mammographic density and breast cancer risk: current understanding and future prospects.

Authors:  Norman F Boyd; Lisa J Martin; Martin J Yaffe; Salomon Minkin
Journal:  Breast Cancer Res       Date:  2011-11-01       Impact factor: 6.466

6.  Association between mammographic density and basal-like and luminal A breast cancer subtypes.

Authors:  Hilda Razzaghi; Melissa A Troester; Gretchen L Gierach; Andrew F Olshan; Bonnie C Yankaskas; Robert C Millikan
Journal:  Breast Cancer Res       Date:  2013       Impact factor: 6.466

  6 in total

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