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计算机辅助检查对钙化性病变的检测

Study on computer aided detection of calcification
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摘要 目的:探讨计算机辅助检查(computer-aided detection,CAD)对钙化性病变的检测能力。方法:收集2012年至2013经手术证实的有明确病理的钙化性病例164例,分析不同类型钙化性病变与CAD检测之间关系。结果:CAD对钙化性病变检出率为97.56%,对恶性钙化特异性为99.24%,单纯钙化、非单纯钙化性病变(肿块伴钙化和钙化伴其他影像征象)的恶性病变率不同(P<0.05),但CAD对其检测能力差异无统计学意义(P>0.05)。结论:CAD对钙化性病灶有较高的检测能力,对恶性钙化特异性高,能减轻临床工作的负担和视觉上的疲劳。钙化伴有肿块或其他影像学征象是一类特殊病变类型不同于单纯钙化性病变。 Objective: To evaluate the computer- aided detection( CAD) capability of calcification. Methods: 164 cases confirmed pathologically with calcification by surgery from 2012 to 2013 were collected to compare the CAD differences between three types of calcification. Results: The calcification detection rate by CAD was 97. 56 % and the rate of malignant calcification specificity was 99. 24 %. The rate of malignant lesions is different between simple calcification and non- simple calcification( containing calcification with mass and calcification with other imaging signs)( P 〈0. 05). There was no significant difference of CAD capability( P〉 0. 05). Conclusions: CAD has perfect performance on calcification detection,especially on malignant calcification specificity,and can release the clinical workload and avoid visual fatigue. Calcification with mass or with other imaging signs,which is an uncommon type,cannot be regarded as a whole with simple calcification.
出处 《包头医学院学报》 CAS 2015年第12期14-15,共2页 Journal of Baotou Medical College
关键词 CAD 钙化 乳腺癌 CAD Calcification Breast cancer
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参考文献4

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