Suppr超能文献

与手持超声相比,自动乳腺容积扫描仪是否具有临床外价值?一项初步研究。

Is there an extraclinical value of automated breast volume scanner compared with hand-held ultrasound?: A pilot study.

作者信息

Zhan Jia, Diao Xue-Hong, Pang Yun, Wang Yan, Chen Lin, Chen Yue

机构信息

Department of Ultrasound Huadong Hospital, Fudan University, Shanghai, P.R. China.

出版信息

Medicine (Baltimore). 2017 Sep;96(37):e7765. doi: 10.1097/MD.0000000000007765.

Abstract

The aim of this study was to investigate the extraclinical value of automated breast volume scanning (ABVS) in the diagnosis of breast tumor compare to hand-handle ultrasound (HHUS).One hundred twenty-four patients with breast tumor were performed HHUS and ABVS before operation. The research focused on whether there were newly found tumors or new findings on the coronal planes by using ABVS compared with HHUS. Then, the classification adjustments of breast imaging reporting and data system (BI-RADS) were made according to new findings on the coronal planes by using ABVS.There are totally 166 breast tumors found in 124 patients by HHUS, while 8 more were observed by ABVS, 4 of which were malignant and the rest were benign. The sensitivity and specificity of ABVS coronal plane findings were 37.0% and 92.5%, respectively. The area under receiver operating characteristic curve was 0.89 before the corrected classification versus 0.93 after the corrected classification, there were no significant differences (P > .05).There was no significant extraclinical value in differentiating diagnosis of malignant tumors and benign breast tumors by ABVS comparing to HHUS. However, those minimal lesions missed diagnosis could be found by ABVS with continuously automatic scanning.

摘要

本研究旨在探讨自动乳腺容积扫描(ABVS)相对于手持式超声(HHUS)在乳腺肿瘤诊断中的临床外价值。124例乳腺肿瘤患者在术前接受了HHUS和ABVS检查。研究重点在于与HHUS相比,使用ABVS在冠状面上是否发现新的肿瘤或新的发现。然后,根据使用ABVS在冠状面上的新发现对乳腺影像报告和数据系统(BI-RADS)进行分类调整。HHUS在124例患者中共发现166个乳腺肿瘤,而ABVS多观察到8个,其中4个为恶性,其余为良性。ABVS冠状面发现的敏感性和特异性分别为37.0%和92.5%。校正分类前受试者操作特征曲线下面积为0.89,校正分类后为0.93,差异无统计学意义(P>0.05)。与HHUS相比,ABVS在鉴别诊断恶性肿瘤和乳腺良性肿瘤方面没有显著的临床外价值。然而,ABVS通过连续自动扫描可以发现那些漏诊的微小病变。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/878e/5604630/89541c048e87/medi-96-e7765-g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验