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Detection of the abnormal gist in the prior mammograms even with no overt sign of breast cancer

机译:甚至没有明显乳腺癌的明显迹象

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Can radiologists distinguish prior mammograms with no overt signs of cancer from women who were later diagnosed with breast cancer from the prior mammograms of women reported as normal and subsequently confirmed to be cancer-free? Twenty-three radiologists and breast physicians viewed 200 craniocaudial mammograms for a half-second and rated whether the woman would be recalled on a scale of 0 (clearly normal) to 100 (clearly abnormal). The dataset included five categories of mammograms, with each category containing 40 cases. The categories were Cancer (current cancer-containing mammograms), Prior-Vis (prior mammograms with visible cancer signs), Contra (current 'normal' mammograms contralateral to the cancer), Prior-Invis (priors without visible cancer signs), and Normal (priors of normal cases). For each radiologist, four pairs of analyses were performed to evaluate whether the radiologists could distinguish mammograms in each category from the normal mammograms: Cancer vs Normal, Prior-Vis vs Normal, Contra vs Normal, and Prior-Invis vs Normal. The Area under Receiver Operating Characteristic curves (AUC) was calculated for each paired grouping and each radiologist. Wilcoxon Signed Rank test showed the AUC values were above-chance for all comparisons: Cancer (z=4.20, P<0.00l); Prior-Vis (z=4.11, P<0.00l); Contra (z=4.17, P<0.00l); Prior-Invis (z=3.71, P<0.00l). The results suggest that radiologists can distinguish patients who were diagnosed with cancer from individuals without breast cancer at an above-chance level based on a half-second glimpse of mammogram even before the lesion becomes apparently visible (Prior-Invis). Apparently, something about the breast parenchyma can look abnormal before the appearance of a localized lesion.
机译:放射科医师可以区分现有的乳房X光检查,没有来自后来患有乳腺癌的癌症的癌症,患有正常妇女的先前乳腺癌,随后证实是无癌症的吗?二十三位放射科医生和乳房医生拍摄了200秒的200次颅CaMaudial乳房X线照片,评分是否将在0(显然正常)到100(显然异常)的范围内召回。 DataSet包括五类乳房X光图,每个类别包含40个案例。这些类别是癌症(含当前癌症的乳房X线照片),先前(现有乳腺照片具有可见癌症迹象),对抗(当前'对侧对癌症的正常“乳房X光检查),先前的INVIS(没有可见癌症迹象的前瞻性)和正常(正常情况的前锋)。对于每个放射科学家,进行四对分析以评估放射科医生是否可以将每个类别中的乳房X线图区分开,癌症与正常,对常规,对比的正常,对比vs Normal,以及先前的INCIS与正常的癌症。针对每个配对分组和每个放射科医生计算接收器操作特征曲线(AUC)下的该区域。 Wilcoxon签名等级测试显示AUC值均对所有比较的差异:癌症(Z = 4.20,P <0.00L);在VIS之前(Z = 4.11,P <0.00L);对比(Z = 4.17,P <0.00L);先前(Z = 3.71,P <0.00L)。结果表明,放射科医师可以将患者区分患者在甚至在乳房X线照片上的半秒瞥见时,患有患有没有乳腺癌的患者的患者,即使在病变明显可见(先前的INVIS之前)。显然,在局部病变的外观之前,关于乳房薄壁症的东西可以看起来异常。

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