Saftlas A F, Hoover R N, Brinton L A, Szklo M, Olson D R, Salane M, Wolfe J N
Pregnancy and Infant Health Branch, Centers for Disease Control, Atlanta, GA 30333.
Cancer. 1991 Jun 1;67(11):2833-8. doi: 10.1002/1097-0142(19910601)67:11<2833::aid-cncr2820671121>3.0.co;2-u.
To determine the relation of mammographic densities to subsequent breast cancer risk, a case-control study was undertaken using prediagnostic mammograms of screening program participants. Mammograms of cases (n = 266) and controls (n = 301) were blindly assessed for mammographic densities, which were measured by planimetry. The odds of breast cancer increased steadily with increasing breast density (test for trend, P less than 0.0001). Breast cancer odds was 1.7 for densities between 5% and 24.9%, 2.5 for 25% through 44.9%, 3.8 for 45% through 64%, and 4.3 for densities of 65% and greater (referent = less than 5% densities). Odds ratios also increased with increasing densities among women with the P2 and DY mammographic patterns. These findings suggest that the percentage of mammographic densities in the breast can predict breast cancer risk more accurately than a qualitative assessment of mammographic patterns.
为确定乳腺钼靶密度与后续患乳腺癌风险之间的关系,利用筛查项目参与者诊断前的乳腺钼靶照片开展了一项病例对照研究。对病例组(n = 266)和对照组(n = 301)的乳腺钼靶照片进行了盲法评估,通过平面测量法测量乳腺钼靶密度。乳腺癌的几率随着乳腺密度的增加而稳步上升(趋势检验,P<0.0001)。密度在5%至24.9%之间时,患乳腺癌几率为1.7;25%至44.9%时为2.5;45%至64%时为3.8;密度为65%及以上时为4.3(参照组=密度小于5%)。在具有P2和DY乳腺钼靶模式的女性中,比值比也随着密度的增加而升高。这些发现表明,乳腺钼靶密度百分比比乳腺钼靶模式的定性评估更能准确预测乳腺癌风险。