Literature DB >> 1463861

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

N S Nielsen1, J Andersen, H S Poulsen, O Mathiessen.   

Abstract

Ninety-two women with advanced, unilateral breast cancer were classified according to the Wolfe and Nottingham classifications of mammographic parenchymal pattern (MPP). Both classifications of MPP were significantly correlated to the estrogen receptor (ER) status of the breast carcinoma, but could not be used for prediction of response to hormonal therapy. Age distribution was significantly different among Wolfe types as well as between ER groups, but a multiple regression analysis showed that both age and Wolfe pattern were significant and independent predictors of the ER status.

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Year:  1992        PMID: 1463861     DOI: 10.1007/bf01833518

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  8 in total

1.  Relation between mammographic findings and hormonal receptor content in breast cancer.

Authors:  N S Nielsen; H S Poulsen
Journal:  AJR Am J Roentgenol       Date:  1985-09       Impact factor: 3.959

2.  Immunohistochemical demonstration of estrogen receptors (ER) in formalin-fixed, paraffin-embedded human breast cancer tissue by use of a monoclonal antibody to ER.

Authors:  J Andersen; T F Orntoft; H S Poulsen
Journal:  J Histochem Cytochem       Date:  1988-12       Impact factor: 2.479

3.  Association of estrogen receptors with parenchymal pattern at mammography.

Authors:  S Ciatto; S Cecchini; A Iossa; G Grazzini; G Messeri; L Valenti; G Nunzi; R Bartolucci; F Di Costanzo
Journal:  Radiology       Date:  1989-03       Impact factor: 11.105

4.  Risk for breast cancer development determined by mammographic parenchymal pattern.

Authors:  J N Wolfe
Journal:  Cancer       Date:  1976-05       Impact factor: 6.860

5.  Relationship between mammographic pattern and estrogen receptor content in breast cancer.

Authors:  A Broberg; U Glas; S A Gustafsson; L Hellström; A Somell
Journal:  Breast Cancer Res Treat       Date:  1983       Impact factor: 4.872

6.  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

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

Authors:  C P Hinton; E J Roebuck; M R Williams; R W Blamey; J Glaves; R I Nicholson; K Griffiths
Journal:  AJR Am J Roentgenol       Date:  1985-06       Impact factor: 3.959

8.  The importance of mammographic parenchymal patterns.

Authors:  E J Roebuck
Journal:  Br J Radiol       Date:  1982-06       Impact factor: 3.039

  8 in total
  1 in total

Review 1.  A review of the influence of mammographic density on breast cancer clinical and pathological phenotype.

Authors:  Michael S Shawky; Cecilia W Huo; Kara Britt; Erik W Thompson; Michael A Henderson; Andrew Redfern
Journal:  Breast Cancer Res Treat       Date:  2019-06-08       Impact factor: 4.872

  1 in total

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