Endo T, Kido C, Horita K, Iguchi H
Department of Radiology, Nagoya University School of Medicine, Japan.
Radiat Med. 1992 Mar-Apr;10(2):50-4.
Clinical usefulness of a newly developed auto-analyzing system of mammograms to search the abnormal dense areas such as cancer lesions was studied. 345 breasts including 86 cancers, 52 mastopathies, 18 fibroadenomas, 13 cysts, 4 lipomas and 172 normals were analyzed and compared with final diagnosis. 84 of 86 cancer lesions were correctly pointed out (sensitivity: 97.9%). Based on the gradient of the density, the ranking of the cancer or calcified lesions among suspected regions in a mammogram was decided. 55 lesions of them (64.0%) were ordered at the first rank and 83 (96.5%) were in the upper three ranks. 68 of 74 breasts with calcifications were correctly diagnosed and 48 of them were ranked in the upper three ranks. Although further improvement of the system is needed, this system will be a useful assistance for screening the breast cancer in the analyses of mammograms.
对一种新开发的用于搜索乳腺癌病变等异常致密区域的乳房X光片自动分析系统的临床实用性进行了研究。分析了包括86例癌症、52例乳腺病、18例纤维腺瘤、13例囊肿、4例脂肪瘤和172例正常乳房在内的345个乳房,并与最终诊断结果进行了比较。86个癌症病变中有84个被正确指出(敏感性:97.9%)。根据密度梯度,确定乳房X光片中疑似区域内癌症或钙化病变的排名。其中55个病变(64.0%)排在第一位,83个(96.5%)排在前三位。74个有钙化的乳房中有68个被正确诊断,其中48个排在前三位。尽管该系统还需要进一步改进,但在乳房X光片分析中,该系统将有助于乳腺癌的筛查。