首页> 外文期刊>Radiology >Screening Mammography-detected Cancers: Sensitivity of a Computer-aided Detection System Applied to Full-Field Digital Mammograms.
【24h】

Screening Mammography-detected Cancers: Sensitivity of a Computer-aided Detection System Applied to Full-Field Digital Mammograms.

机译:筛查乳腺X线摄影检测到的癌症:应用于全视野数字乳腺X线照片的计算机辅助检测系统的敏感性。

获取原文
获取原文并翻译 | 示例
           

摘要

Purpose: To retrospectively evaluate the sensitivity of the performance of a computer-aided detection (CAD) system applied to full-field digital mammograms for detection of breast cancers in a screening group, with histologic findings as the reference standard. Materials and Methods: This study had institutional review board approval, and patient informed consent was waived. A commercially available CAD system was applied to the digital mammograms of 103 women (mean age, 51 years; range, 35-69 years) with 103 breast cancers detected with screening. Sensitivity values of the CAD system according to mammographic appearance, breast composition, and histologic findings were analyzed. Normal mammograms from 100 women (mean age, 54 years; age range, 35-75 years) with no mammographic and clinical abnormality during 2-year follow-up were used to determine false-positive CAD system marks. Differences between the cancer detection rates in fatty and dense breasts for the CAD system were compared by using the chi(2) test. Results: The CAD system correctly marked 99 (96.1%) of 103 breast cancers. The CAD system marked all 44 breast cancers that manifested as microcalcifications only, all 23 breast cancers that manifested as a mass with microcalcifications, and 32 (89%) of 36 lesions that appeared as a mass only. The sensitivity of the CAD system in the fatty breast group was 95% (59 of 62) and in the dense breast group was 98% (40 of 41) (P = .537). The CAD system correctly marked all 31 lesions of ductal carcinoma in situ (DCIS), all 22 lesions of invasive ductal carcinoma with DCIS, the single invasive lobular carcinoma lesion, and 45 (92%) of 49 lesions of invasive ductal carcinoma. On normal mammograms, the mean number of false-positive marks per patient was 1.80 (range, 0-10 marks; median, 1 mark). Conclusion: The CAD system can correctly mark most (96.1%) asymptomatic breast cancers detected with digital mammographic screening, with acceptable false-positive marks (1.80 per patient). (c) RSNA, 2007.
机译:目的:回顾性评估计算机辅助检测(CAD)系统的性能敏感性,该系统应用于筛查组中乳腺癌的全视野数字乳房X线照片,以组织学检查结果为参考标准。材料和方法:该研究获得机构审查委员会的批准,并且患者知情同意被放弃。将市售的CAD系统应用于筛查检出103例乳腺癌的103例女性(平均年龄51岁;范围35-69岁)的乳房X线照片。根据乳房X线照片外观,乳房组成和组织学检查结果分析了CAD系统的灵敏度值。使用100名女性(平均年龄54岁;年龄范围35-75岁)的正常乳房X线照片,在2年的随访中没有乳房X线照片和临床异常,用于确定假阳性CAD系统标记。通过使用chi(2)测试,比较了CAD系统在脂肪和密集乳腺中的癌症检出率之间的差异。结果:CAD系统正确标记了103个乳腺癌中的99个(96.1%)。 CAD系统标记了仅表现为微钙化的所有44种乳腺癌,表现为微钙化肿块的所有23种乳腺癌,以及仅表现为肿块的36个病变中的32个(89%)。脂肪丰胸组CAD系统的敏感性为95%(62个中的59个),而密实乳腺组为98%(41个中的40个)(P = .537)。 CAD系统正确标记了导管原位癌(DCIS)的所有31个病变,具有DCIS的浸润性导管癌的所有22个病变,单个浸润性小叶癌病变以及浸润性导管癌的49个病变中的45个(92%)。在正常的乳房X光照片上,每位患者的假阳性标记平均数为1.80(范围:0-10标记;中位值为1标记)。结论:CAD系统可以正确标记大多数(96.1%)通过数字化乳腺X线筛查发现的无症状乳腺癌,并具有可接受的假阳性标记(每位患者1.80)。 (c)RSNA,2007年。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号