Scholarlink

Background <p>To evaluate the association between automatically measured mammographic breast density (MBD) and osteoporosis in postmenopausal women and determine whether this relationship differs across body mass index (BMI).</p> Methods <p>This retrospective cross-sectional study included 7,143 postmenopausal women who underwent both digital mammography and dual-energy X-ray absorptiometry (DXA). MBD (%) was automatically quantified using the Laboratory for Individualized Breast Radiodensity Assessment (LIBRA). Osteoporosis was defined as a DXA T-score ≤ -2.5. BMI-dependent associations were evaluated using logistic regression with a BMI×MBD interaction (continuous model) and prespecified categorical analyses (median split). Discrimination (AUC) was compared between models with and without MBD.</p> Results <p>Osteoporosis was present in 12.8% (912/7143) of participants. In the continuous interaction model including age, BMI, MBD, and a BMI×MBD interaction, the BMI×MBD interaction was significant (<i>P</i> = 0.007). The estimated odds ratio (OR) for osteoporosis per 1% higher MBD was 0.989 (95% CI 0.981–0.997) at BMI 20, 0.976 (95% CI 0.964–0.989) at BMI 25, and 0.963 (95% CI 0.943–0.984) at BMI 30. In a prespecified median split (MBD &lt; 25.3% vs. ≥ 25.3%), the absolute risk difference was larger in women with BMI ≥ 25 (9.28% vs. 4.59%). Adding MBD to an age + BMI model minimally changed AUC (0.682 to 0.684).</p> Conclusion <p>Higher automated mammographic breast density was associated with lower odds of osteoporosis, and this inverse association was stronger at higher BMI. Although mammographic breast density added little incremental discrimination beyond age and BMI, these findings may provide biologically and epidemiologically relevant insight but do not support clinical decision-making based on mammographic breast density alone.</p>

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

BMI-dependent association between mammographic breast density and osteoporosis in postmenopausal women using automated density assessment

  • 期刊论文

  • 出版模式：

    开放获取

  • 发表日期：

    2026年5月7日

查看全文
  • Hong-Seon Lee,
  • Seung-hyun Song,
  • Chaeri Park,
  • Sungjun Kim,
  • Young Hoon Youn,
  • Ji Hyun Youk

摘要

Background

To evaluate the association between automatically measured mammographic breast density (MBD) and osteoporosis in postmenopausal women and determine whether this relationship differs across body mass index (BMI).

Methods

This retrospective cross-sectional study included 7,143 postmenopausal women who underwent both digital mammography and dual-energy X-ray absorptiometry (DXA). MBD (%) was automatically quantified using the Laboratory for Individualized Breast Radiodensity Assessment (LIBRA). Osteoporosis was defined as a DXA T-score ≤ -2.5. BMI-dependent associations were evaluated using logistic regression with a BMI×MBD interaction (continuous model) and prespecified categorical analyses (median split). Discrimination (AUC) was compared between models with and without MBD.

Results

Osteoporosis was present in 12.8% (912/7143) of participants. In the continuous interaction model including age, BMI, MBD, and a BMI×MBD interaction, the BMI×MBD interaction was significant (P = 0.007). The estimated odds ratio (OR) for osteoporosis per 1% higher MBD was 0.989 (95% CI 0.981–0.997) at BMI 20, 0.976 (95% CI 0.964–0.989) at BMI 25, and 0.963 (95% CI 0.943–0.984) at BMI 30. In a prespecified median split (MBD < 25.3% vs. ≥ 25.3%), the absolute risk difference was larger in women with BMI ≥ 25 (9.28% vs. 4.59%). Adding MBD to an age + BMI model minimally changed AUC (0.682 to 0.684).

Conclusion

Higher automated mammographic breast density was associated with lower odds of osteoporosis, and this inverse association was stronger at higher BMI. Although mammographic breast density added little incremental discrimination beyond age and BMI, these findings may provide biologically and epidemiologically relevant insight but do not support clinical decision-making based on mammographic breast density alone.