Automated breast volume scanner for ultrasound examination of the musculoskeletal system
GAO Hui, CHEN Tao, GUO Wen, QIN Xiao-ting, GAO Kan, WANG Dan-dan, DENG Yu-kun, KONG Yan, YAN Bing
Published 2011-11-25
Cite as Chin J Ultrasonogr, 2011,20(11): 972-975. DOI: 10.3760/cma.j.issn.1004-4477.2011.11.017
Abstract
Objective To investigate the clinical value of automated breast volume scanner(ABVS) system in detection musculoskeletal system lesions.Methods Totally 49 patients were scanned by Acuson S2000 ABVS system after conventional ultrasound examination.The scanning data of ABVS were stored and automatically reconstructed to obtain coronal and sagittal images.Then the results were analyzed and the occurrence rates of circle sign of different lesions were compared.Results The images of 49 lesions were obtained with ABVS and conventional ultrasound successfully.Statistical difference of the occurrence rate of circle sign was found between benign and malignant lesions (x2 =5.559,P =0.021).However,there was no statistical difference between hemangioma and malignant lesions (x2 =2.098,P =0.156).Meanwhile,a missed lesion in conventional ultrasound examination was found in coronal view by ABVS.Conclusions ABVS system can obtain effective coronal images of musculoskeletal system lesions,which represents a progress.
Key words:
Ultrasonography; Musculoskeletal diseases
Contributor Information
GAO Hui
Department of Ultrasonography, Beijing Jishuitan Hospital & the Forth Medical College of Peking University, Beijing 100035, China
CHEN Tao
Department of Ultrasonography, Beijing Jishuitan Hospital & the Forth Medical College of Peking University, Beijing 100035, China
GUO Wen
Department of Ultrasonography, Beijing Jishuitan Hospital & the Forth Medical College of Peking University, Beijing 100035, China
QIN Xiao-ting
Department of Ultrasonography, Beijing Jishuitan Hospital & the Forth Medical College of Peking University, Beijing 100035, China
GAO Kan
Department of Ultrasonography, Beijing Jishuitan Hospital & the Forth Medical College of Peking University, Beijing 100035, China
WANG Dan-dan
Department of Ultrasonography, Beijing Jishuitan Hospital & the Forth Medical College of Peking University, Beijing 100035, China
DENG Yu-kun
Department of Ultrasonography, Beijing Jishuitan Hospital & the Forth Medical College of Peking University, Beijing 100035, China
KONG Yan
Department of Ultrasonography, Beijing Jishuitan Hospital & the Forth Medical College of Peking University, Beijing 100035, China
YAN Bing
Department of Ultrasonography, Beijing Jishuitan Hospital & the Forth Medical College of Peking University, Beijing 100035, China
