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Association Between Mammographic Density and Age-Related Lobular Involution of the Breast
- Source :
- Journal of Clinical Oncology. 28:2207-2212
- Publication Year :
- 2010
- Publisher :
- American Society of Clinical Oncology (ASCO), 2010.
-
Abstract
- Purpose Mammographic density and lobular involution are both significant risk factors for breast cancer, but whether these reflect the same biology is unknown. We examined the involution and density association in a large benign breast disease (BBD) cohort. Patients and Methods Women in the Mayo Clinic BBD cohort who had a mammogram within 6 months of BBD diagnosis were eligible. The proportion of normal lobules that were involuted was categorized by an expert pathologist as no (0%), partial (1% to 74%), or complete involution (≥ 75%). Mammographic density was estimated as the four-category parenchymal pattern. Statistical analyses adjusted for potential confounders and evaluated modification by parity and age. We corroborated findings in a sample of women with BBD from the Mayo Mammography Health Study (MMHS) with quantitative percent density (PD) and absolute dense and nondense area estimates. Results Women in the Mayo BBD cohort (n = 2,667) with no (odds ratio, 1.7; 95% CI, 1.2 to 2.3) or partial (odds ratio, 1.3; 95% CI, 1.0 to 1.6) involution had greater odds of high density (DY pattern) than those with complete involution (P trend < .01). There was no evidence for effect modification by age or parity. Among 317 women with BBD in the MMHS study, there was an inverse association between involution and PD (mean PD, 22.4%, 21.6%, 17.2%, for no, partial, and complete, respectively; P trend = .04) and a strong positive association of involution with nondense area (P trend < .01). No association was seen between involution and dense area (P trend = .56). Conclusion We present evidence of an inverse association between involution and mammographic density.
- Subjects :
- Adult
Aging
Cancer Research
medicine.medical_specialty
Biopsy
Breast Neoplasms
Risk Assessment
Cohort Studies
Breast Diseases
Breast cancer
Predictive Value of Tests
Pregnancy
Risk Factors
Original Reports
Odds Ratio
medicine
Humans
Mammography
Aged
Gynecology
Chi-Square Distribution
medicine.diagnostic_test
business.industry
Age Factors
Odds ratio
Middle Aged
medicine.disease
Parity
Logistic Models
Oncology
Predictive value of tests
Cohort
Female
Breast disease
business
Chi-squared distribution
Cohort study
Subjects
Details
- ISSN :
- 15277755 and 0732183X
- Volume :
- 28
- Database :
- OpenAIRE
- Journal :
- Journal of Clinical Oncology
- Accession number :
- edsair.doi.dedup.....71a116797fb15dc17f78b71369fa4aca
- Full Text :
- https://doi.org/10.1200/jco.2009.23.4120