COMPUTER-AIDED MAMMOGRAPHIC SCREENING FOR SPICULATED LESIONS
COMPUTER-AIDED MAMMOGRAPHIC SCREENING FOR SPICULATED LESIONS
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DOI：
10.1148/radiology.191.2.8153302
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发表时间：
1994-05-01
期刊：
影响因子：
19.7
通讯作者：
NIPPER, ML
中科院分区：
文献类型：
--
作者：
KEGELMEYER, WP;PRUNEDA, JM;NIPPER, ML
目的：研究使用计算机视觉方法作为第二阅读器来检测筛查性乳房 X 光检查中的针状病变。 材料和方法：将用于检测数字化屏幕胶片乳房 X 光检查中的针状病变的计算机算法过程应用于 85 个四视图临床病例：36 例通过活检证实患有癌症，49 例在检查和随访时结果呈阴性。计算机检测结果被打印成胶片，并添加了指示可疑癌症的轮廓。四名放射科医生对 85 个病例进行了两次筛查，一次没有计算机报告作为辅助胶片，一次有计算机报告作为辅助胶片。结果：仅算法就达到了 100% 的敏感性，特异性为 82%。计算机报告将放射科医生的平均敏感度提高了 9.7% (P = .005)，从 80.6% 提高到 90.3%，而平均特异性没有下降。 结论：研究表明，计算机分析乳房 X 光照片可以显着提高放射科医生的筛查效率，并具有统计学意义。
PURPOSE: To study the use of a computer vision method as a second reader for the detection of spiculated lesions on screening mammograms.MATERIALS AND METHODS: An algorithmic computer process for the detection of spiculated lesions on digitized screen-film mammograms was applied to 85 four-view clinical cases: 36 cases with cancer proved by means of biopsy and 49 cases with negative findings at examination and follow-up. The computer detections were printed as film with added outlines that indicated the suspected cancers. Four radiologists screened the 85 cases twice, once without and once with the computer reports as ancillary films.RESULTS: The algorithm alone achieved 100% sensitivity, with a specificity of 82%. The computer reports increased the average radiologist sensitivity by 9.7% (P = .005), moving from 80.6% to 90.3%, with no decrease in average specificity.CONCLUSION: The study demonstrated that computer analysis of mammograms can provide a substantial and statistically significant increase in radiologist screening efficacy.