贺芳,肖际东,文欢,毛玉瑶.S-detect技术辅助超声鉴别诊断最大径≤2 cm乳腺良恶性肿块型病灶[J].中国医学影像技术,2018,34(8):1207~1210
S-detect技术辅助超声鉴别诊断最大径≤2 cm乳腺良恶性肿块型病灶
S-detect computer-aided ultrasound in differential diagnosis of benign and malignant mass-like breast lesions with maximum diameter ≤ 2 cm
投稿时间:2018-01-10  修订日期:2018-05-24
DOI:10.13929/j.1003-3289.201801063
中文关键词:  诊断,计算机辅助  乳腺病变  超声检查
英文关键词:Diagnosis, computer-aided  Breast lesions  Ultrasonography
基金项目:中南大学研究生自主探索创新项目(2017zzts893;由中南大学中央高校基本科研业务费专项基金资助)、中南大学教育教育学改革研究项目(2018jy115)。
作者单位E-mail
贺芳 中南大学湘雅三医院超声科, 湖南 长沙 410013  
肖际东 中南大学湘雅三医院超声科, 湖南 长沙 410013 jidongxiao1975@126.com 
文欢 中南大学湘雅三医院超声科, 湖南 长沙 410013  
毛玉瑶 中南大学湘雅三医院超声科, 湖南 长沙 410013  
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中文摘要:
      目的 探讨S-detect技术辅助超声在≤2 cm乳腺肿块型病灶良恶性鉴别诊断中的应用价值。方法 采用S-detect技术及常规超声对42例女性患者总计54个乳腺病灶进行诊断,以术后病理结果为金标准,对比分析S-detect技术、常规超声及两者联合的诊断效能。结果 常规超声鉴别诊断乳腺病灶良恶性的敏感度为79.17%(19/24)、特异度为90.00%(27/30)、准确率为85.19%(46/54);S-detect技术诊断的敏感度为62.50%(15/24)、特异度为86.67%(26/30)、准确率为75.93%(41/54);两者联合鉴别诊断的敏感度为91.67%(22/24)、特异度为96.67%(29/30)、准确率为94.44%(51/54)。常规超声、S-detect技术及两者联合鉴别诊断乳腺病灶良恶性的ROC曲线的AUC分别为0.846、0.746和0.942(P均<0.05)。超声联合S-detect的诊断效能优于单独应用S-detect技术和常规超声(P均<0.05)。结论 S-detect技术是一种新的影像补充诊断手段,辅助常规超声诊断可提高对乳腺≤2 cm肿块型病灶的诊断效能。
英文摘要:
      Objective To explore the clinical value of S-detect computer-aided ultrasound in differential diagnosis of benign and malignant mass-like breast lesions with maximum diameter ≤ 2 cm. Methods Totally 54 small mass-like breast lesions of 42 female patients were diagnosed with ultrasonography (US) and S-detect. Taking pathological results as golden standards, the diagnostic efficacy of US, S-detect and the combination of this two methods were analyzed. Results The sensitivity, specificity, accuracy rate of US in differential diagnosis of benign and malignant breast lesions was 79.17% (19/24), 90.00% (27/30) and 85.19% (46/54), of S-detect was 62.50% (15/24), 86.67% (26/30) and 75.93% (41/54), of S-detect combined with US was 91.67% (22/24), 96.67% (29/30) and 94.44% (51/54), respectively. The AUC of ROC curve of US, S-detect and the combination of the two methods was 0.846, 0.746 and 0.942 (all P<0.05), respectively. The diagnostic efficacy of US combined with S-detect was superior to that of the single US or S-detect (both P<0.05). Conclusion S-detect is a new complementary way in imaging diagnosis, which may improve diagnostic efficacy of US in differential diagnosis of benign and malignant mass-like breast lesions with maximum diameter ≤ 2 cm.
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