IMPROVEMENT IN RADIOLOGISTS DETECTION OF CLUSTERED MICROCALCIFICATIONS ON MAMMOGRAMS - THE POTENTIAL OF COMPUTER-AIDED DIAGNOSIS
IMPROVEMENT IN RADIOLOGISTS DETECTION OF CLUSTERED MICROCALCIFICATIONS ON MAMMOGRAMS - THE POTENTIAL OF COMPUTER-AIDED DIAGNOSIS
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DOI：
10.1097/00004424-199010000-00006
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发表时间：
1990-10-01
影响因子：
6.7
通讯作者：
MACMAHON, H
中科院分区：
文献类型：
--
作者：
CHAN, HP;DOI, K;MACMAHON, H
相对简单但重要的放射学检测任务正在接近计算机辅助诊断（CAD）方法。作者研究了这样一项任务，即在乳房x光片上检测聚集性微钙化，以确定CAD是否可以在受控但通常是现实的情况下提高放射科医生的表现。他们的受试者工作特征（ROC）研究结果表明，CAD在目前的发展状态下，由他们的计算机代码实现，在刺激乳房x光筛查快速解释的条件下，确实显著提高了放射科医生检测聚集性微钙化的准确性。研究结果还表明，计算机误报率的降低将进一步提高放射科医生的诊断准确性，尽管在本研究中，这种提高没有统计学意义。
Relatively simple, but important, detection tasks in radiology are nearing accessibility to computer-aided diagnostic (CAD) methods. The authors have studied one such task, the detection of clustered microcalcifications on mammograms, to determine whether CAD can improve radiologists'' performance under controlled but generally realistic circumstances. The results of their receiver operating characteristic (ROC) study show that CAD, as implemented by their computer code in its present state of development, does significantly improve radiologists'' accuracy in detecting clustered microcalcifications under conditions that stimulate the rapid interpretation of screening mammograms. The results suggest also that a reduction in the computer''s false-positive rate will further improve radiologists'' diagnostic accuracy, although the improvement falls short of statistical significance in this study.