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Should We Adjust Visually Assessed Mammographic Density for Observer Variability?

机译:我们是否应该针对观察者差异调整视觉评估的乳腺摄影密度?

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This study aimed to determine whether correcting for observer variability alters estimations of breast cancer risk associated with mammographic density. A case control design examined the relationship between mammographic density, measured by visual analogue scales (VAS), and the risk of breast cancer after correcting for observer variability. Mammographic density was assessed by two observers and average scores (V2) were adjusted to correct for observer variability (V2_(ad)). Two case-control sets were identified: (ⅰ) breast cancer detected during screening at entry and (ⅱ) breast cancer detected subsequently. Cases were matched to three controls. In the first case-control set the odds ratio for breast cancer was 4.6 (95 %CI 2.8-7.5) for the highest compared to the lowest quintile of V2, and was attenuated for V2_(ad) (OR 3.1, 95 %CI 1.9-4.8). Similar findings were observed for the second case-control set. Not adjusting for observer variability may lead to an overestimate of the risk of breast cancer.
机译:这项研究旨在确定对观察者变异性的校正是否会改变与乳房X线照片密度相关的乳腺癌风险的估计。病例对照设计检查了通过视觉模拟量表(VAS)测量的乳房X线密度与校正观察者变异性后患乳腺癌风险之间的关系。由两名观察员评估乳房X射线照片密度,并调整平均评分(V2)以校正观察者的变异性(V2_(ad))。确定了两个病例对照集:(ⅰ)进入筛查时检出的乳腺癌和(ⅱ)随后检出的乳腺癌。病例与三个对照相匹配。在第一个病例对照集中,与最低的V2五分位数相比,乳腺癌的优势比为4.6(95%CI 2.8-7.5),而对V2_(ad)则有所降低(OR 3.1,95%CI 1.9 -4.8)。第二个病例对照组也观察到类似的发现。不调整观察者的变异性可能会导致乳腺癌风险的高估。

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