Mammographic patterns and risk of breast cancer

Hainline, S; Myers, LE; McLelland, Robert; Newell, John; Grufferman, Seymour; Shingleton, William W.

doi:10.2214/ajr.130.6.1157

Cited by 38 publications

(10 citation statements)

References 5 publications

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“…This difference in results appears to arise, at least in part, from an association between the DY pattern and symptoms (Peyster et al, 1977;Kessler & Fishedick, 1980;Rideout & Poon, 1977;Doyle et al, 1979). Other case-control studies from screening centres where a low prevalence of breast symptoms would be expected in the control group, have generally confirmed the DY pattern as a risk factor for breast cancer (Hainline et al, 1978;Wilkinson et al, 1977;Chaffe et al, 1979).…”

Section: Discussionmentioning

confidence: 81%

“…In others, the prevalence of breast cancer detected at the first examination within each category of mammographic pattern is described (Egan & Mosteller, 1977;Krook, 1978;Kessler & Fischedick, 1980). Still others have used a case-control design, not always with a formally constituted control group, in which the prevalence of each mammographic pattern in a group of women with diagnosed breast cancer is compared to that of controls (Mendell et al, 1977;Rideout & Poon, 1977;Hainline et al, 1978;Wilkinson et al, 1977;Doyle et al, 1-979;Chaffe et al, 1979 (Boyd etal., 1982).…”

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confidence: 99%

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Bias and the association of mammographic parenchymal patterns with breast cancer

Boyd¹,

O’Sullivan²,

Campbell³

et al. 1982

Br J Cancer

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Summary.-We have carried out a case-control study to evaluate the association between Wolfe's mammographic patterns and the risk of breast cancer, and to examine the influence of control selection and the radiologist who read the films upon the results obtained.Mammograms of the non-cancerous breast of 183 women with unilateral breast cancer were compared with mammograms from two age-matched control groups: a group of asymptomatic women attending a screening centre, and a group of symptomatic women referred for the diagnostic evaluation of suspected breast disease. Films were arranged in random sequence and independently classified by 3 radiologists.A strong and statistically significant association was found between mammographic dysplasia and breast cancer when controls from the screening centre were compared to cases, but not when cases were compared to women referred for the diagnostic evaluation of breast disease. This result appears to arise in part because of an association between symptoms of benign breast disease and mammographic dysplasia, and suggests that some previous negative studies of the association of mammographic patterns with breast cancer may have arisen from the inclusion of symptomatic subjects as controls.WTOLFE HAS DESCRIBED) a method of classifying the mammographic appearances of ductal prominence and dysplasia that is reported to identify individuals at different risks for the development of breast cancer (Wolfe, 1976a,b). However, not all subsequent studies of these mammographic patterns by other investigators have confirmed this finding. A review of these studies has revealed several differences in research design and methodology that might explain the conflicting results.

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Section: Discussionmentioning

confidence: 81%

mentioning

confidence: 99%

Bias and the association of mammographic parenchymal patterns with breast cancer

Boyd¹,

O’Sullivan²,

Campbell³

et al. 1982

Br J Cancer

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show abstract

“…2, 3, 10, 27, 29, 30, 32-44), whereas prevalence studies were case-control or crosssectional (Table 2; refs. 1,28,[45][46][47][48][49][50][51][52][53][54][55][56][57][58][59]. Nine studies were conducted using symptomatic populations or controls (Table 3; refs.…”

Section: Resultsmentioning

confidence: 99%

Breast Density and Parenchymal Patterns as Markers of Breast Cancer Risk: A Meta-analysis

McCormack

dos‐Santos‐Silva

2006

Cancer Epidemiology, Biomarkers &Amp; Prevention

1,837

1,458

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Mammographic features are associated with breast cancer risk, but estimates of the strength of the association vary markedly between studies, and it is uncertain whether the association is modified by other risk factors. We conducted a systematic review and meta-analysis of publications on mammographic patterns in relation to breast cancer risk. Random effects models were used to combine study-specific relative risks. Aggregate data for >14,000 cases and 226,000 noncases from 42 studies were included. Associations were consistent in studies conducted in the general population but were highly heterogeneous in symptomatic populations. They were much stronger for percentage density than for Wolfe grade or Breast Imaging Reporting and Data System classification and were 20% to 30% stronger in studies of incident than of prevalent cancer. No differences were observed by age/menopausal status at mammography or by ethnicity. For percentage density measured using prediagnostic mammograms, combined relative risks of incident breast cancer in the general population were 1.79 (95% confidence interval, 1.48-2.16), 2.11 (1.70-2.63), 2.92 (2.49-3.42), and 4.64 (3.64-5.91) for categories 5% to 24%, 25% to 49%, 50% to 74%, and z75% relative to <5%. This association remained strong after excluding cancers diagnosed in the first-year postmammography. This review explains some of the heterogeneity in associations of breast density with breast cancer risk and shows that, in well-conducted studies, this is one of the strongest risk factors for breast cancer. It also refutes the suggestion that the association is an artifact of masking bias or that it is only present in a restricted age range. (Cancer Epidemiol Biomarkers Prev 2006;15(6):1159-69)

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“…A number of other studies have shown these categories to be associated with different risks for the development of breast cancer (Egan & Mosteller, 1977;Egan & McSweeney, 1979;Krook et al, 1978;Krook, 1975;Threatt et al, 1980;Hainline et al, 1978, Wilkinson et al, 1977Brebner et al, 1978;Chaffe et al, 1979) and have in general confirmed that higher risk is associated with the P2 and DY categories. In another paper (Boyd et al, 1982) we have shown that there is a relationship between symptoms of breast disease and the DY pattern in the absence of breast cancer, and have suggested that some negative reports of the association between Wolfe's patterns and breast cancer may have arisen because of the inclusion of subjects with symptoms (Kessler & Fischedick, 1980;Mendell et al, 1977;Rideout, 1977;Peyster et al, 1977;Doyle et al, 1979).…”

mentioning

confidence: 92%

Mammographic signs as risk factors for breast cancer

Boyd¹,

O’Sullivan²,

Campbell³

et al. 1982

Br J Cancer

131

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Summary.-We have carried out a case-control study to examine the relationship between mammographic signs and breast cancer. The mammographic signs assessed were prominent ducts and dysplasia.The cases were a group of 183 women with histologically verified unilateral breast cancer. The controls were a group of women attending a screening centre. Cases and controls were individually age-matched. Mammograms from the non-cancerous breast of the cases were randomly assembled with those of the controls and classified by 3 radiologists without knowledge of which films were from cases and which from controls.Mammographic dysplasia was found to be strongly associated with breast cancer, particularly in women aged < 50. Prominent ducts were only weakly associated with breast cancer. Multivariate analysis showed that the association between dysplasia and breast cancer could not be explained on the basis of other risk factors for breast cancer, and that classification of dysplasia discriminated more strongly between cases and controls than did classification of Wolfe's mammographic patterns.These results show that mammograms contain information about risk of breast cancer. Mammographic dysplasia is strongly associated with breast cancer, is present in a substantial proportion of patients with the disease, and may offer opportunities for prevention.

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Mammographic patterns and risk of breast cancer

Cited by 38 publications

References 5 publications

Bias and the association of mammographic parenchymal patterns with breast cancer

Bias and the association of mammographic parenchymal patterns with breast cancer

Breast Density and Parenchymal Patterns as Markers of Breast Cancer Risk: A Meta-analysis

Mammographic signs as risk factors for breast cancer

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