Effect of a computer-aided diagnosis scheme on radiologists' performance in detection of lung nodules on radiographs
Effect of a computer-aided diagnosis scheme on radiologists' performance in detection of lung nodules on radiographs
复制标题
计算机辅助诊断方案对放射科医生在 X 光片上检测肺结节的表现的影响
DOI：
10.1148/radiology.199.3.8638015
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发表时间：
1996-06-01
期刊：
影响因子：
19.7
通讯作者：
Doi, K
中科院分区：
文献类型：
--
作者：
Kobayashi, T;Xu, XW;Doi, K
目得：为了评价计算机辅助诊断（CAD）方案对放射科医师在肺结节检测中的表现的影响，并研究一种新的受试者工作特征（ROC）analysis.MATERIALS和METHODS方法：使用120张X线照片（60张正常和60张异常肺结节的不同细微度）。16名放射科医生（2名胸科医生、6名普外科医生和8名住院医生）参与了一项观察员研究，他们阅读了传统X线片和数字化X线片。采用两种不同的方法对放射科医师的工作表现进行ROC分析（独立测试和序贯测试）和连续评级量表。A（z）（当以单位平方绘制时，在最佳拟合副正态ROC曲线下的面积）从具有和不具有CAD输出的ROC分析获得的值分别为0.940和0.894，序贯检验分别为0.948和0.906。两种方法的结果表明，CAD方案在统计学上显著提高了诊断准确性，特别是对于经验较少的放射科医生（P < .001）。当使用CAD时，阅读时间没有增加。结论：CAD方案可以帮助放射科医生在胸片上检测肺结节。
PURPOSE: To evaluate the effect of a computer-aided diagnosis (CAD) scheme on radiologists' performance in the detection of lung nodules, and to examine a new method of receiver operating characteristic (ROC) analysis.MATERIALS AND METHODS: One hundred twenty radiographs (60 normal and 60 abnormal with lung nodules of varying subtlety) were used. Sixteen radiologists (two thoracic, six general, and eight residents) participated in an observer study in which they read both conventional radiographs and digitized radiographs. The radiologists' performance was evaluated with ROC analysis with two different methods (independent testing and sequential testing) and a continuous rating scale.RESULTS: A(z) (area under the best fit binormal ROC curve when it is plotted in the unit square) values obtained from ROC analysis with and without CAD output were 0.940 and 0.894, respectively, in the independent test and 0.948 and 0.906, respectively, in the sequential test. Findings with both methods indicated that the CAD scheme statistically significantly improved diagnostic accuracy, particularly for radiologists with less experience (P < .001). Reading time was not increased when CAD was used.CONCLUSION: The CAD scheme can assist radiologists in the detection of lung nodules on chest radiographs.