Detection of masses and clustered microcalcifications on data compressed mammograms: an observer performance study.
Detection of masses and clustered microcalcifications on data compressed mammograms: an observer performance study.
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DOI：
10.2214/ajr.175.6.1751573
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发表时间：
2000-12
期刊：
影响因子：
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通讯作者：
W. Good;J. Sumkin;M. Ganott;L. Hardesty;Brenda L. Holbert;C. M. Johns;Amy Klym
中科院分区：
文献类型：
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作者：
W. Good;J. Sumkin;M. Ganott;L. Hardesty;Brenda L. Holbert;C. M. Johns;Amy Klym
目的评价观察者在压缩数据乳腺X线片上检测乳腺肿块和簇状微钙化的能力。材料和方法8名观察员评估了60个乳腺X线摄影图像在6种模式下获得，范围从非压缩到最大数据压缩水平101：1。要求观察者在0到100的范围内对图像进行质量存在的可能性评级，并独立地对存在簇状微钙化的可能性进行评级。此外，要求观察者对检测肿块和单独检测微钙化的每张图像的质量进行主观评估。进行受试者操作特征分析。结果：与未压缩和两个最低数据压缩水平相比，在最高数据压缩水平下，用于检测成簇微钙化的平均受试者工作特征曲线下面积A（z）显著降低（p < 0.01），并且所有观察者的受试者工作特征曲线下的平均面积的趋势检验具有统计学显著性（p < 0.05）。在用于检测肿块的任何数据压缩水平模式之间均未检测到统计学显著差异。结论：在高水平的乳腺X线照片数据压缩下，观察者的性能下降，用于检测聚集的微钙化点。肿块的检测不受本研究中使用的数据压缩方法和水平的影响。
OBJECTIVE To evaluate observers' ability to detect breast masses and clustered microcalcifications depicted on data compressed mammograms, an observer performance study was performed. MATERIALS AND METHODS Eight observers assessed 60 mammographic images obtained in six modes, ranging from noncompressed to a maximum data compression level of 101:1. Observers were asked to rate the images on a scale of 0 to 100 for the likelihood of the presence of a mass and also independently for the likelihood of the presence of clustered microcalcifications. In addition, observers were asked to rate their subjective assessment of the quality of each image for the detection of a mass and separately for the detection of microcalcifications. Receiver operating characteristic analyses were performed. RESULTS The average area under the receiver operating characteristic curve, A(z), for the detection of clustered microcalcifications decreases significantly at the highest data compression level when compared with the noncompressed and two lowest levels of data compression (p < 0.01), and a trend test of the average area under the receiver operating characteristic curve for all observers is statistically significant (p < 0.05). No statistically significant differences among or between any of the data compression level modes for the detection of masses were detected. CONCLUSION At a high level of mammogram data compression, observer performance was degraded for the detection of clustered microcalcifications. Detection of masses was not affected by the data compression methods and levels used in this study.