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中华医学超声杂志(电子版) ›› 2024, Vol. 21 ›› Issue (04) : 370 -376. doi: 10.3877/cma.j.issn.1672-6448.2024.04.004

浅表器官超声影像学

三维反转成像技术在BI-RADS 4类乳腺肿块应用中的初步研究
侯中光1, 詹韵韵1, 毕玉1, 王佳佳1, 吴瑕璧1, 彭梅1,()   
  1. 1. 230610 合肥,安徽医科大学第二附属医院超声医学科
  • 收稿日期:2023-09-19 出版日期:2024-04-01
  • 通信作者: 彭梅
  • 基金资助:
    2023年度安徽省高校自然科学研究项目(2023AH040373); 安徽医科大学第二附属医院临床研究培育计划(2021LCZD062021LCYB13)

Application of three-dimensional inversion imaging in diagnosis of nature of Breast Imaging Reporting and Data System category 4 breast masses: a preliminary study

Zhongguang Hou1, Yunyun Zhan1, Yu Bi1, Jiajia Wang1, Xiabi Wu1, Mei Peng1,()   

  1. 1. Department of Ultrasound Medicine, The Second Affiliated Hospital of Anhui Medical University, Hefei 230610, China
  • Received:2023-09-19 Published:2024-04-01
  • Corresponding author: Mei Peng
引用本文:

侯中光, 詹韵韵, 毕玉, 王佳佳, 吴瑕璧, 彭梅. 三维反转成像技术在BI-RADS 4类乳腺肿块应用中的初步研究[J/OL]. 中华医学超声杂志(电子版), 2024, 21(04): 370-376.

Zhongguang Hou, Yunyun Zhan, Yu Bi, Jiajia Wang, Xiabi Wu, Mei Peng. Application of three-dimensional inversion imaging in diagnosis of nature of Breast Imaging Reporting and Data System category 4 breast masses: a preliminary study[J/OL]. Chinese Journal of Medical Ultrasound (Electronic Edition), 2024, 21(04): 370-376.

目的

探讨三维反转成像技术能否提高BI-RADS 4类乳腺肿块良恶性的鉴别诊断价值,以减少不必要的活检。

方法

收集2021年9月至2023年6月在安徽医科大学第二附属医院经常规超声诊断为BI-RADS 4类并进行反转成像检查的243例患者的247个乳腺肿块。根据反转图像中肿块内深灰色和黑色区域的分布特征,采用半定量5分反转评分法,并以病理结果为金标准,绘制ROC曲线,对比常规超声与联合三维反转成像技术后对BI-RADS 4类乳腺肿块的诊断效能。

结果

常规超声鉴别BI-RADS 4类乳腺肿块良恶性的ROC曲线下面积(AUC)、准确性、敏感度、特异度、阳性预测值、阴性预测值分别为0.841、83.8%、93.3%、74.8%、77.8%、92.2%;联合诊断后AUC、准确性、敏感度、特异度、阳性预测值、阴性预测值分别为0.887、88.7%、90.0%、87.4%、87.1%、90.2%。联合诊断后有87例BI-RADS 4a类良性肿块降至3类,同时未造成恶性肿块误降为3类而漏诊的情况,可避免84.5%(87/103)的4a类肿块进行不必要的活检。

结论

常规超声联合三维反转成像技术对乳腺肿块良恶性具有良好的诊断效能,尤其特异度和阳性预测值均明显提升,有效减少了4a类肿块不必要的活检。

Objective

To investigate whether three-dimensional inversion imaging can improve the diagnosis of the nature of Breast Imaging Reporting and Data System (BI-RADS) category 4 breast masses to reduce unnecessary biopsies.

Methods

A total of 247 breast masses were collected from 243 patients who were diagnosed as having BI-RADS category 4 lesions by conventional ultrasound and underwent three-dimensional inversion imaging from September 2021 to June 2023 at the Second Affiliated Hospital of Anhui Medical University. Based on the distribution characteristics of dark grey and black areas within the mass in the inverted images, the diagnostic efficacy of conventional ultrasound alone and combined with three-dimensional inversion imaging for BI-RADS category 4 breast masses was compared by using a semi-quantitative 5-point inversion scoring method and plotting receiver operating characteristic (ROC) curves with pathological findings as the gold standard.

Results

The area under the ROC curve (AUC), accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of conventional ultrasound for identifying the nature of BI-RADS category 4 breast masses were 0.841, 83.8%, 93.3%, 74.8%, 77.8%, and 92.2%, respectively; the corresponding values of the combined diagnosis were 0.887, 88.7%, 90.0%, 87.4%, 87.1%, and 90.2%. The combined diagnosis resulted in 87 BI-RADS category 4a benign masses being downgraded to category 3, and did not result in malignant masses mistakenly downgraded to category 3, which would have prevented unnecessary biopsies of 84.5% (87/103) of category 4a masses.

Conclusion

Conventional ultrasound combined with three-dimensional inversion imaging has good diagnostic efficacy for benign and malignant breast masses, significantly improving the diagnosic specificity and positive predictive value and thus effectively reducing unnecessary biopsies of category 4a masses.

图1 反转成像评分标准示意图。图a~e分别为反转成像评分1~5分 注:·代表黑色区域;代表深灰色区域;代表反转图像中肿块轮廓
图2 患者,女性,17岁,左乳纤维腺瘤。图a为乳腺肿块常规超声诊断为BI-RADS 4a类;图b为经三维重建的肿块最大冠状切面图像;图c为反转图像显示肿块内深灰色和黑色分布区域面积占2/3以上,反转评分2分
图3 患者,女性,32岁,右乳非特殊型浸润性癌。图a为乳腺肿块常规超声诊断为BI-RADS 4a类;图b为经三维重建的肿块最大冠状切面图像;图c为反转图像显示肿块内深灰色和黑色分布区域面积占比不到1/3,反转评分4分
表1 BI-RADS 4类乳腺良恶性肿块的反转评分结果比较[例(%)]
表2 BI-RADS 4类乳腺肿块分类反转评分调整前后变化(个)
图4 常规超声、三维反转成像技术和联合后诊断BI-RADS 4类乳腺肿块良恶性的ROC曲线
表3 常规超声及联合三维反转成像技术后对乳腺肿块良恶性的诊断效能比较
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