Sartor Hanna, Sturesdotter Li, Larsson Anna-Maria, Rosendahl Ann H, Zackrisson Sophia
Department of Translational Medicine, Diagnostic Radiology, Lund University, Malmö, Sweden.
Department of Imaging and Physiology, Skåne University Hospital, Malmö, Sweden.
Eur Radiol. 2025 Jan;35(1):151-159. doi: 10.1007/s00330-024-10937-8. Epub 2024 Jul 12.
There are several breast cancer (BC) risk factors-many related to body composition, hormonal status, and fertility patterns. However, it is not known if risk factors in healthy women are associated with specific mammographic features at the time of BC diagnosis. Our aim was to assess the potential association between pre-diagnostic body composition and mammographic features in the diagnostic BC image.
The prospective Malmö Diet and Cancer Study includes women with invasive BC from 1991 to 2014 (n = 1116). BC risk factors at baseline were registered (anthropometric measures, menopausal status, and parity) along with mammography data from BC diagnosis (breast density, mammographic tumor appearance, and mode of detection). We investigated associations between anthropometric measures and mammographic features via logistic regression analyses, yielding odds ratios (OR) with 95% confidence intervals (CI).
There was an association between high body mass index (BMI) (≥ 30) at baseline and spiculated tumor appearance (OR 1.370 (95% CI: 0.941-2.010)), primarily in women with clinically detected cancers (OR 2.240 (95% CI: 1.280-3.940)), and in postmenopausal women (OR 1.580 (95% CI: 1.030-2.440)). Furthermore, an inverse association between high BMI (≥ 30) and high breast density (OR 0.270 (95% CI: 0.166-0.438)) was found.
This study demonstrated an association between obesity and a spiculated mass on mammography-especially in women with clinically detected cancers and in postmenopausal women. These findings offer insights on the relationship between risk factors in healthy women and related mammographic features in subsequent BC.
With increasing numbers of both BC incidence and women with obesity, it is important to highlight mammographic findings in women with an unhealthy weight.
Women with obesity and BC may present with certain mammographic features. Spiculated masses were more common in women with obesity, especially postmenopausal women, and those with clinically detected BCs. Insights on the relationship between obesity and related mammographic features will aid mammographic interpretation.
存在多种乳腺癌(BC)风险因素——许多与身体组成、激素状态和生育模式有关。然而,尚不清楚健康女性的风险因素是否与BC诊断时的特定乳腺X线摄影特征相关。我们的目的是评估诊断前身体组成与诊断性BC图像中乳腺X线摄影特征之间的潜在关联。
前瞻性的马尔默饮食与癌症研究纳入了1991年至2014年期间患有浸润性BC的女性(n = 1116)。记录基线时的BC风险因素(人体测量指标、绝经状态和生育情况)以及BC诊断时的乳腺X线摄影数据(乳腺密度、乳腺X线摄影肿瘤表现和检测方式)。我们通过逻辑回归分析研究人体测量指标与乳腺X线摄影特征之间的关联,得出比值比(OR)及95%置信区间(CI)。
基线时高体重指数(BMI)(≥30)与毛刺状肿瘤表现之间存在关联(OR 1.370(95%CI:0.941 - 2.010)),主要见于临床检测出癌症的女性(OR 2.240(95%CI:1.280 - 3.940))以及绝经后女性(OR 1.580(95%CI:1.030 - 2.440))。此外,发现高BMI(≥30)与高乳腺密度之间存在负相关(OR 0.270(95%CI:0.166 - 0.438))。
本研究表明肥胖与乳腺X线摄影上的毛刺状肿块之间存在关联——尤其是在临床检测出癌症的女性和绝经后女性中。这些发现为健康女性的风险因素与后续BC中相关乳腺X线摄影特征之间的关系提供了见解。
随着BC发病率和肥胖女性数量的增加,突出体重不健康女性的乳腺X线摄影结果很重要。
肥胖且患有BC的女性可能呈现某些乳腺X线摄影特征。毛刺状肿块在肥胖女性中更常见,尤其是绝经后女性以及临床检测出BC的女性。对肥胖与相关乳腺X线摄影特征之间关系的见解将有助于乳腺X线摄影解读。