Chan H P, Doi K, Vyborny C J, Schmidt R A, Metz C E, Lam K L, Ogura T, Wu Y Z, MacMahon H
Kurt Rossmann Laboratories for Radiologic Image Research, University of Chicago, Illinois.
Invest Radiol. 1990 Oct;25(10):1102-10. doi: 10.1097/00004424-199010000-00006.
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 simulate 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.
放射学中相对简单但重要的检测任务正逐渐可通过计算机辅助诊断（CAD）方法来完成。作者研究了其中一项任务，即乳腺X线照片上簇状微钙化的检测，以确定CAD在可控但总体现实的情况下是否能提高放射科医生的表现。他们的接收器操作特性（ROC）研究结果表明，按照其计算机代码在当前开发状态下所实现的CAD，在模拟乳腺筛查快速解读的条件下，确实能显著提高放射科医生检测簇状微钙化的准确性。结果还表明，计算机假阳性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未达到统计学意义。
