Mammographic compression pressure as a predictor of interval cancer

M. Hill, Linda Martis, M. Halling-Brown, R. Highnam, A. Chan
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引用次数: 3

Abstract

Purpose: To identify mammographic image quality indicators (IQI) predictive of interval breast cancers (IC) as opposed to screen-detected cancers (SDC). Methods: Eligible cases for the study were raw, routine recall, screening exams acquired at two UK sites between 2010- 2018, from the OPTIMAM database. Women were matched 3:1 (SDC, n=965 versus IC, n=326), by age (nearest), screening site, breast density grade, Xray system vendor, and compression paddle. Images of the affected breast for prior (IC only) or incident (SDC only) exams were processed using automated software to obtain volumetric breast density (VBD) and IQI metrics related to compression and breast positioning. Compression pressure (CP) was categorised into tertiles or low/target/high (<7/7-15/<15 kPa) groups. Univariate and logistic regression analyses were used to identify significant predictors of IC versus SDC. Results: Compared to SDC, IC had lower median CP (7.9 versus 8.6 kPa, p<0.05). Multivariate analysis found only CP to be significantly associated with the risk of IC versus SDC, with odds ratios (OR) and 95% confidence intervals of 0.93 (0.89-0.97) per unit CP. Compared to low CP, target CP was significantly associated with a lower IC versus SDC risk at the breast level [OR=0.73 (0.56-0.95)] and for mediolateral oblique views [OR=0.77 (0.59-0.99)]. Comparing the third and first tertile, CP was significantly associated with lower risk of IC versus SDC [0.64 (0.47-0.87)], with very similar results when analysed per view. Conclusions: CP was found to be a significant predictor of IC versus SDC, with higher CP being associated with a lower risk of IC.
乳房x线摄影压缩压力作为间隔期癌症的预测因子
目的:确定乳房x线图像质量指标(IQI)预测间隔期乳腺癌(IC),而不是筛查发现的癌症(SDC)。方法:符合研究条件的病例是2010年至2018年期间在英国两个地点从OPTIMAM数据库中获得的原始、常规召回和筛查检查。女性按年龄(最近)、筛查地点、乳腺密度等级、x射线系统供应商和压缩桨进行3:1匹配(SDC, n=965 vs IC, n=326)。使用自动化软件处理先前(仅限IC)或事件(仅限SDC)检查的受影响乳房图像,以获得与压缩和乳房定位相关的乳腺体积密度(VBD)和IQI指标。压缩压力(CP)分为低/目标/高(<7/7-15/<15 kPa)组。采用单变量和逻辑回归分析来确定IC与SDC的显著预测因素。结果:与SDC相比,IC的中位CP较低(7.9比8.6 kPa, p<0.05)。多因素分析发现,只有CP与IC和SDC的风险显著相关,比值比(OR)和95%置信区间为0.93(0.89-0.97)/单位CP。与低CP相比,靶CP在乳房水平与较低的IC和SDC风险显著相关[OR=0.73(0.56-0.95)]和中侧斜位[OR=0.77(0.59-0.99)]。比较第三和第一分位数,CP与较低的IC与SDC风险显著相关[0.64(0.47-0.87)],当每个视图分析时结果非常相似。结论:CP被发现是IC与SDC的重要预测因子,较高的CP与较低的IC风险相关。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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