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Values of ABVS and VTIQ in differential diagnosis of benign and malignant breast lesions
Received:April 28, 2020  Revised:June 10, 2020  Click here to download the full text
Citation of this paper:ZHU Ting,LIU Tao,CHE Xin,WU Long,HU Rong-fei.Values of ABVS and VTIQ in differential diagnosis of benign and malignant breast lesions[J].Chinese Journal of Clinical Medicine,2021,28(2):283-287
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Author NameAffiliationE-mail
ZHU Ting Department of Ultrasound, Renhe Hospital, Baoshan District, Shanghai 200431, China  
LIU Tao Community Health Service Center of Youyi Street, Baoshan District, Shanghai 201999, China 13636488195@126.com 
CHE Xin Department of Ultrasound, Renhe Hospital, Baoshan District, Shanghai 200431, China  
WU Long Department of Ultrasound, Renhe Hospital, Baoshan District, Shanghai 200431, China  
HU Rong-fei Department of Ultrasound, Renhe Hospital, Baoshan District, Shanghai 200431, China  
Abstract:Objective: To explore the application value of automated breast volume scanner (ABVS) and virtual-touch tissue imaging quantification (VTIQ) techniques in the diagnosis of benign and malignant breast lesions. Methods: A total of 260 breast lumps in 200 patients with breast diseases treated in Renhe Hospital, Baoshan District of Shanghai from August 2018 to July 2019 were selected. All patients were female and examined with ABVS and VTIQ. The sensitivity, specificity, and accuracy of the two methods in the differentiation of benign and malignant breast lesions were compared under single and combined application according to a gold operation or aspiration biopsy results. Results: Among the 260 masses, 68 were malignant nodules and 192 were benign nodules. The incidence of "fusion sign" on ABVS coronal view in malignant masses was significantly higher than that in benign masses (42.6% vs 2.1%, P<0.05). The sensitivity, specificity, and accuracy were 36.83%, 91.73%, and 85.89%, respectively using "fusion sign" as the criteria for identifying benign and malignant breast masses. The mean shear wave velocity (SWV) of malignant masses was significantly higher than that of benign masses ([5.92±1.53] m/s vs[2.58±1.17] m/s, P<0.01) by VTIQ test. The sensitivity, specificity, and accuracy were 94.99%, 69.82%, and 84.31%, respectively using SWV 3.65 m/s as a threshold for the identification of breast benign and malignant masses. The sensitivity, specificity, and accuracy of ABVS combined with VTIQ were 96.81%, 87.72%, and 96.78%, respectively. The area under the ROC (AUC) of ABVS combined with VTIQ in the differential diagnosis of breast benign and malignant masses was 0.983, which was higher than that of ABVS (0.852) and VTIQ (0.924). Conclusions: Both ABVS and VTIQ techniques have high value in differentiating breast benign and malignant masses. Moreover, the combined use of the two methods is more accurate in the diagnosis, which can be widely used in clinical practice.
keywords:breast cancer  automated breast volume scanner  virtual-touch tissue imaging quantification  BI-RADS score  differential diagnosis
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