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Does the strength of the gist signal predict the difficulty of breast cancer detection in usual presentation and reporting mechanisms?

机译:要点信号的强度是否可以预测通常的表现和报告机制中的乳腺癌检测困难?

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This study measured the correlation between the magnitude of the presence of theabnormality gist and case difficulty based on standard presentation and reporting mechanisms for80 cases. Half of the cases contained biopsy-proven cancer while the remainder were normal andconfirmed to be cancer-free for at least two years of follow-up. In the gist experiment, seventeenbreast radiologists and physicians gave an abnormality score on a scale from 0 (confident normal)to 100 (confident abnormal) to unilateral CC mammograms following a very brief, 500 millisecondpresentation of the image. Independently, each mammogram was assessed by a separate sampleof at least 40 radiologists using standard presentation and reporting mechanisms, with thesereaders asked to locate any cancers present. All readers reported at least 1000 cases annually. Foreach case and each category, the percentage of correct reports served as an objective measure ofcase difficulty (lower rate of correct report shows a more difficult case). For each of the 17 readers,the association between the abnormality scores from the gist study and detection rates from theearlier reports was examined using Spearman correlation. None of the coefficients weresignificantly different from zero (p>0.05). For the normal cases, the correlation coefficient betweenabnormality scores and detection rates for the 17 readers ranged from -0.262 to 0.258, and forcancer -0.180 to 0.309. The results suggest that the gist signal may indicate the presence ofcancer, using mechanisms other than those employed in usual reporting, and might be exploited toimprove breast cancer detection.
机译:这项研究测量了存在的幅度之间的相关性。 基于标准的呈现和报告机制的异常要点和案例难度 80例。一半的病例包含经活检证实的癌症,而其余的则正常且 在至少两年的随访中被证实无癌。在要点实验中,十七岁 乳腺放射科医生和医师的异常评分从0分(正常正常)开始 在很短的500毫秒后增加到100(确信异常)到单侧CC乳房X线照片 图像的呈现。独立地,每个乳房X光照片由一个单独的样本评估 至少40名放射科医生使用标准的展示和报告机制,其中包括 读者要求找到存在的任何癌症。所有读者每年至少报告1000例。为了 每个案例和每个类别,正确报告的百分比可作为 案例难度(较低的正确报告率表明案例难度更大)。对于17位读者中的每位读者, 要点研究中的异常评分与检测结果中的检出率之间的关联 使用Spearman相关性检查了较早的报告。没有一个系数是 与零有显着差异(p> 0.05)。对于正常情况, 17个阅读器的异常评分和检测率范围从-0.262到0.258,对于 癌症-0.180至0.309。结果表明要点信号可能表明存在 癌症,使用通常报告所采用的机制以外的机制,并且可能被利用来 改善乳腺癌的检测。

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