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Breast CT: Its Prospect for Breast Cancer Screening and Diagnosis

机译:乳腺CT:其乳腺癌筛查和诊断前景

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Mammographic screening has led to a substantial reduction in breast cancer mortality during the past 20 years (1-4). This reduction in mortality is an important step toward lessening the burden of breast cancer, but most breast imaging experts acknowledge that mammographic screening has limitations, especially in women with dense breasts (5). For example, Figure 1 illustrates the results of an ideal observer performance evaluation (a computer simulation), which shows sensitivity as a function of breast lesion diameter for five categories of breast density (6). These curves were generated for an assumed specificity of 90%. The data demonstrate that for women with mostly adipose breasts (breasts with low breast density), there is a 60% probability that a breast cancer will be discovered when it is about 4 mm in diameter. Women with dense breasts, however, will have to wait (on average) until their cancer grows to 17 mm in diameter for equivalent detection performance (ie, 60% sensitivity). This delay in detection corresponds to about 1.7 years of tumor growth, assuming a 100-day in vivo tumor doubling time (7). These results, although they are based on simulations, do mirror the qualitative experience of most radiologists who specialize in breast imaging. Clearly, more can be done to improve breast cancer screening performance in women with dense breasts.
机译:乳房Xmmopare筛查导致过去20年(1-4)中的乳腺癌死亡率大幅降低。这种降低死亡率是减少乳腺癌负担的重要一步,但大多数乳房成像专家都承认乳房Xmmopare筛查具有局限性,特别是乳房(5)的女性。例如,图1示出了理想的观察者性能评估(计算机模拟)的结果,其显示出作为乳房病变直径的函数的敏感性,用于五个类别的乳房密度(6)。产生这些曲线的假定特异性为90%。这些数据表明,对于大多数脂肪乳房(乳房密度低的乳房),当其直径约为4mm时,存在乳腺癌的60%概率。然而,密集乳房的女性将不得不等待(平均)直到它们的癌症的直径增长至17毫米,以进行等效检测性能(即60%的灵敏度)。这种检测延迟对应于约1.7岁的肿瘤生长,假设100天在体内肿瘤倍增时间(7)。这些结果虽然它们是基于模拟,但镜像大多数乳房成像的放射科医生的定性体验。显然,可以采取更多,改善乳房致密患者的乳腺癌筛查表现。

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