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多模态超声校正BI-RADS 4类乳腺肿块的价值
引用本文:黄思, 肖耀成, 金林原, 张敏, 李建, 张艳芬. 多模态超声校正BI-RADS 4类乳腺肿块的价值[J]. 分子影像学杂志, 2024, 47(1): 52-56. doi: 10.12122/j.issn.1674-4500.2024.01.10
作者姓名:黄思  肖耀成  金林原  张敏  李建  张艳芬
作者单位:南华大学附属长沙中心医院超声诊断科,湖南 长沙 410000
基金项目:湖南省卫生健康委计划项目202209022882
摘    要:目的  探讨乳腺自动容积成像(ABVS)、超声弹性评分(UES)及两者联合在校正乳腺影像报告和数据系统分级(BI-RADS)4类乳腺肿块BI-RADS分级中的应用价值。方法  收集我院经常规超声诊断为BI-RADS 4类的乳腺肿块患者109例, 共113个肿块。经ABVS及UES校正BI-RADS分级后, 与病理结果对比, 绘制ROC曲线, 比较常规超声、ABVS、UES、ABVS联合UES诊断BI-RADS 4类乳腺肿块的差异。结果  109例患者113个肿块中包含良性78个, 恶性35个, ABVS联合UES校正后的敏感度、特异性、准确性、ROC曲线下面积分别为94.29%、93.59%、93.80%、0.975。结论  ABVS联合UES有助于提高BI-RADS 4类肿块的总体诊断效能。两者联合诊断可以取长补短, 提高诊断率。

关 键 词:乳腺自动容积成像   超声弹性评分   常规超声   乳腺影像报告和数据系统分级   乳腺肿块
收稿时间:2023-09-25

Value of multimodal ultrasound in the diagnosis in optimizing BI-RADS 4 breast lesions category
HUANG Si, XIAO Yaocheng, JIN Linyuan, ZHANG Min, LI Jian, ZHANG Yanfen. Value of multimodal ultrasound in the diagnosis in optimizing BI-RADS 4 breast lesions category[J]. Journal of Molecular Imaging, 2024, 47(1): 52-56. doi: 10.12122/j.issn.1674-4500.2024.01.10
Authors:HUANG Si  XIAO Yaocheng  JIN Linyuan  ZHANG Min  LI Jian  ZHANG Yanfen
Affiliation:Department of Ultrasound Diagnosis, The Affiliated Changsha Central Hospital, Hengyang Medical School, University of South China, Changsha 410000, China
Abstract:Objective To explore the application value of automatic breast volume scanning (ABVS), ultrasound elastography score (UES) and their combination in correcting the BI-RADS 4 breast lesions. Methods A total of 113 patients with 109 breast lesions diagnosed with BI-RADS 4 by conventional ultrasound were collected.After the BI-RADS grading was corrected by ABVS and UES, the ROC curve was compared with the pathological results, and the differences in the diagnosis of BI-RADS 4 breast lesions by conventional ultrasound, ABVS, UES, ABVS combined with UES were compared. Results Among 113 masses in 109 patients, 78 were benign and 35 were malignant.The sensitivity, specificity, accuracy and area under the ROC curve of ABVS combined with UES were 94.29%, 93.59%, 93.80% and 0.975 respectively. Conclusion US+ABVS+UES can significantly improve the diagnostic efficiency and accuracy of US in the diagnosis of BI-RADS 4 breast lesions.
Keywords:automated breast volume scanning  ultrasound elastography score  conventional ultrasound  breast imaging reporting and data system  breast lesions
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