Association between mammographic density and age-related lobular involution of the breast

Karthik Ghosh, Lynn C. Hartmann, Carol Reynolds, Daniel W Visscher, Kathleen R Brandt, Robert A. Vierkant, Christopher G. Scott, Derek C Radisky, Thomas A. Sellers, V. Shane Pankratz, Celine M Vachon

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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.

Original languageEnglish (US)
Pages (from-to)2207-2212
Number of pages6
JournalJournal of Clinical Oncology
Volume28
Issue number13
DOIs
StatePublished - May 1 2010

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Breast Diseases
Breast
Mammography
Parity
Odds Ratio
Health
Breast Density
Breast Neoplasms

ASJC Scopus subject areas

  • Cancer Research
  • Oncology
  • Medicine(all)

Cite this

Association between mammographic density and age-related lobular involution of the breast. / Ghosh, Karthik; Hartmann, Lynn C.; Reynolds, Carol; Visscher, Daniel W; Brandt, Kathleen R; Vierkant, Robert A.; Scott, Christopher G.; Radisky, Derek C; Sellers, Thomas A.; Pankratz, V. Shane; Vachon, Celine M.

In: Journal of Clinical Oncology, Vol. 28, No. 13, 01.05.2010, p. 2207-2212.

Research output: Contribution to journalArticle

Ghosh, Karthik ; Hartmann, Lynn C. ; Reynolds, Carol ; Visscher, Daniel W ; Brandt, Kathleen R ; Vierkant, Robert A. ; Scott, Christopher G. ; Radisky, Derek C ; Sellers, Thomas A. ; Pankratz, V. Shane ; Vachon, Celine M. / Association between mammographic density and age-related lobular involution of the breast. In: Journal of Clinical Oncology. 2010 ; Vol. 28, No. 13. pp. 2207-2212.
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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.",
author = "Karthik Ghosh and Hartmann, {Lynn C.} and Carol Reynolds and Visscher, {Daniel W} and Brandt, {Kathleen R} and Vierkant, {Robert A.} and Scott, {Christopher G.} and Radisky, {Derek C} and Sellers, {Thomas A.} and Pankratz, {V. Shane} and Vachon, {Celine M}",
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T1 - Association between mammographic density and age-related lobular involution of the breast

AU - Ghosh, Karthik

AU - Hartmann, Lynn C.

AU - Reynolds, Carol

AU - Visscher, Daniel W

AU - Brandt, Kathleen R

AU - Vierkant, Robert A.

AU - Scott, Christopher G.

AU - Radisky, Derek C

AU - Sellers, Thomas A.

AU - Pankratz, V. Shane

AU - Vachon, Celine M

PY - 2010/5/1

Y1 - 2010/5/1

N2 - 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.

AB - 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.

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