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Computer-aided detection in digital mammography: comparison of craniocaudal, mediolateral oblique, and mediolateral views.

机译:数字化乳腺摄影术中的计算机辅助检测:颅尾,中外侧斜位和中外侧视图的比较。

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PURPOSE: To retrospectively compare the sensitivity of a computer-aided detection (CAD) system for depicting breast cancer in three digital mammographic views. MATERIALS AND METHODS: This study was conducted with institutional review board approval; informed consent was waived. A commercially available CAD system was applied to the craniocaudal, mediolateral oblique, and mediolateral digital mammographic views of 83 women (mean age, 48 years; range, 30-66 years) with 83 histologically proved breast cancers. Findings were 59 masses and 41 microcalcifications (17 lesions showed both findings; 42 lesions, mass only; and 24 lesions, microcalcification only). The paired t test was used to analyze sensitivity of the CAD system for the detection of cancer in these three mammographic views and in combinations of the views. RESULTS: The sensitivities of the CAD system were 92% (76 of 83) in the craniocaudal view, 83% (69 of 83) in the mediolateral oblique view, and 86% (71 of 83) in the mediolateral view; the differences were not significant (P = .07-.62). Sensitivity increased to 96% (80 of 83) in the craniocaudal plus mediolateral oblique views and to 99% (82 of 83) in the craniocaudal plus mediolateral oblique plus mediolateral views. For masses, the sensitivity of the CAD system was 76% (45 of 59) in the craniocaudal view and 75% (44 of 59) in the mediolateral oblique view and increased to 93% (55 of 59) when mediolateral oblique and craniocaudal views were combined (P < .001). For microcalcifications, sensitivity was 98% (40 of 41) in the craniocaudal view and 95% (39 of 41) in the mediolateral oblique view, and this increased to 100% (41 of 41) when the mediolateral oblique and craniocaudal views were combined (P = .31). CONCLUSION: The sensitivities of the CAD system were not significantly different among these three digital mammographic views. Sensitivity for depicting masses was significantly increased (P < .001) when the craniocaudal view was added to the mediolateral oblique view.
机译:目的:回顾性比较计算机辅助检测(CAD)系统在三种数字乳房X线照片视图中描绘乳腺癌的敏感性。材料与方法:本研究在获得机构审查委员会批准的情况下进行。知情同意书被放弃。将市售的CAD系统应用于83例经组织学证实为乳腺癌的女性(平均年龄48岁;范围30-66岁)的颅尾,中外侧斜位和中外侧数字乳房X线照片。发现为59个肿块和41个微钙化(17个病变均显示两个发现; 42个病变,仅肿块; 24个病变,仅微钙化)。配对t检验用于在这三个乳腺X线照片视图和视图组合中分析CAD系统检测癌症的敏感性。结果:CAD系统的敏感性在颅尾骨视图中为92%(83个中的76个),在中外侧斜视图中为83%(83个中的69个),在中外侧视图中为86%(83个中的71个)。差异不显着(P = .07-.62)。颅尾联合中外侧斜视的敏感性增至96%(83中的80),而在颅尾联合中外侧斜视和中斜视的敏感性增至99%(83中的82)。对于大众而言,CAD系统的灵敏度在颅尾角视图中为76%(59中的45),在中外侧斜视图中为75%(59中的44),而在后外侧斜角和颅尾视图中,CAD系统的敏感性提高到93%(59中的55)合并(P <.001)。对于微钙化,在oc尾视图中敏感性为98%(41个中的40个),在中外侧斜视图中为95%(41个中的39个),并且在合并后外侧倾斜和颅尾骨视图时,敏感性提高到100%(41个中的41个) (P = .31)。结论:在这三种数字化乳腺X线照片之间,CAD系统的敏感性没有显着差异。当将颅尾视图添加到中外侧斜视图中时,描绘肿块的灵敏度显着提高(P <.001)。

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