Abstract：
OBJECTIVE: 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.
METHODS: 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).
RESULTS: 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.
CONCLUSIONS: 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.
CONCLUSIONS: With increasing numbers of both BC incidence and women with obesity, it is important to highlight mammographic findings in women with an unhealthy weight.
CONCLUSIONS: 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.
METHODS: 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).
RESULTS: 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.
CONCLUSIONS: 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.
CONCLUSIONS: With increasing numbers of both BC incidence and women with obesity, it is important to highlight mammographic findings in women with an unhealthy weight.
CONCLUSIONS: 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.
摘要：
目的：有几种乳腺癌（BC）的危险因素-许多与身体成分有关，荷尔蒙状态，和生育模式。然而,在BC诊断时,尚不清楚健康女性的危险因素是否与特定的乳房X线照片特征相关.我们的目的是评估诊断前身体成分与诊断BC图像中乳房X线摄影特征之间的潜在关联。
方法：前瞻性马尔默饮食与癌症研究包括1991年至2014年的浸润性BC女性（n=1116）。记录基线时的BC危险因素(人体测量，更年期状态，和奇偶校验)以及来自BC诊断的乳房X线照相术数据(乳房密度，乳房X线摄影肿瘤外观，和检测模式)。我们通过logistic回归分析研究了人体测量和乳房X线摄影特征之间的关联，具有95%置信区间(CI)的屈服比值比(OR)。
结果：基线时高体重指数（BMI）（≥30）与针状肿瘤外观之间存在关联（OR1.370（95％CI：0.941-2.010）），主要在临床检测到癌症的女性中（OR2.240（95％CI：1.280-3.940）），和绝经后妇女（OR1.580（95％CI：1.030-2.440））。此外，研究发现高BMI(≥30)与高乳腺密度(OR0.270(95%CI:0.166~0.438))呈负相关.
结论：这项研究证明了肥胖与乳房X线照相术上的针状肿块之间的关系，尤其是在临床检测到癌症的女性和绝经后女性中。这些发现为健康女性的危险因素与随后的BC的相关乳房X线照片特征之间的关系提供了见解。
结论：随着BC发病率和肥胖女性人数的增加，强调体重不健康的女性的乳房X光检查结果很重要。
结论：肥胖和BC的女性可能具有某些乳房X线摄影特征。棘状肿块在肥胖女性中更为常见，尤其是绝经后的妇女，和那些临床检测到的BCs。对肥胖与相关乳房摄影特征之间关系的见解将有助于乳房摄影解释。
方法：前瞻性马尔默饮食与癌症研究包括1991年至2014年的浸润性BC女性（n=1116）。记录基线时的BC危险因素(人体测量，更年期状态，和奇偶校验)以及来自BC诊断的乳房X线照相术数据(乳房密度，乳房X线摄影肿瘤外观，和检测模式)。我们通过logistic回归分析研究了人体测量和乳房X线摄影特征之间的关联，具有95%置信区间(CI)的屈服比值比(OR)。
结果：基线时高体重指数（BMI）（≥30）与针状肿瘤外观之间存在关联（OR1.370（95％CI：0.941-2.010）），主要在临床检测到癌症的女性中（OR2.240（95％CI：1.280-3.940）），和绝经后妇女（OR1.580（95％CI：1.030-2.440））。此外，研究发现高BMI(≥30)与高乳腺密度(OR0.270(95%CI:0.166~0.438))呈负相关.
结论：这项研究证明了肥胖与乳房X线照相术上的针状肿块之间的关系，尤其是在临床检测到癌症的女性和绝经后女性中。这些发现为健康女性的危险因素与随后的BC的相关乳房X线照片特征之间的关系提供了见解。
结论：随着BC发病率和肥胖女性人数的增加，强调体重不健康的女性的乳房X光检查结果很重要。
结论：肥胖和BC的女性可能具有某些乳房X线摄影特征。棘状肿块在肥胖女性中更为常见，尤其是绝经后的妇女，和那些临床检测到的BCs。对肥胖与相关乳房摄影特征之间关系的见解将有助于乳房摄影解释。
