Literature DB >> 4061448

The relationship between Wolfe's classification of mammograms, accepted breast cancer risk factors, and the incidence of breast cancer.

J Whitehead, T Carlile, K J Kopecky, D J Thompson, F I Gilbert, A J Present, B A Threatt, P Krook, E Hadaway.   

Abstract

Data collected between 1973 and 1984 on 696 incident cases of breast cancer and 1,376 matched controls from four Breast Cancer Detection Demonstration Project clinics in the United States were used to assess the role of mammographic parenchymal pattern as a risk factor and its relationship with other, accepted, risk factors. The data confirm previous reports of the influence of benign breast biopsy, age at first live birth, family history of breast cancer, and duration of menstruation on the incidence of breast cancer. Height is also found to be an influential factor. Parenchymal pattern is found to be a risk factor with effects comparable in magnitude to the other factors studied. It operates separately from them, except for its relationship with height and weight. After adjustment for parenchymal pattern, weight is seen to have a significant effect on breast cancer incidence, and height is no longer needed in a model for risk. A model which simultaneously incorporates all of the risk factors considered, including parenchymal pattern, is presented. While these factors are of interest in the epidemiology of breast cancer, it is demonstrated that they are insufficient to allow reliable prediction of the disease in an individual woman.

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Year:  1985        PMID: 4061448     DOI: 10.1093/oxfordjournals.aje.a114203

Source DB:  PubMed          Journal:  Am J Epidemiol        ISSN: 0002-9262            Impact factor:   4.897


  9 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.  Lifetime menstrual activity--indicator of breast cancer risk.

Authors:  M Rautalahti; D Albanes; J Virtamo; J Palmgren; J Haukka; O P Heinonen
Journal:  Eur J Epidemiol       Date:  1993-01       Impact factor: 8.082

3.  Risk factors for breast cancer by mode of diagnosis: some results from a breast cancer screening study.

Authors:  J Whitehead; J Cooper
Journal:  J Epidemiol Community Health       Date:  1989-06       Impact factor: 3.710

4.  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

5.  Low-fat high-carbohydrate diet and plasma sex hormones.

Authors:  T J Key
Journal:  Br J Cancer       Date:  1998-11       Impact factor: 7.640

6.  The relationship of anthropometric measures to radiological features of the breast in premenopausal women.

Authors:  N F Boyd; G A Lockwood; J W Byng; L E Little; M J Yaffe; D L Tritchler
Journal:  Br J Cancer       Date:  1998-11       Impact factor: 7.640

Review 7.  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

Review 8.  Mammographic density, breast cancer risk and risk prediction.

Authors:  Celine M Vachon; Carla H van Gils; Thomas A Sellers; Karthik Ghosh; Sandhya Pruthi; Kathleen R Brandt; V Shane Pankratz
Journal:  Breast Cancer Res       Date:  2007       Impact factor: 6.466

9.  Life-course body size and perimenopausal mammographic parenchymal patterns in the MRC 1946 British birth cohort.

Authors:  V A McCormack; I dos Santos Silva; B L De Stavola; N Perry; S Vinnicombe; A J Swerdlow; R Hardy; D Kuh
Journal:  Br J Cancer       Date:  2003-09-01       Impact factor: 7.640

  9 in total

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