title: A novel application of the Automated Breast Volume Scanner (ABVS) in the diagnosis of soft tissue tumors.
abstract: OBJECTIVE
  To explore the feasibility of the application of the Automated Breast Volume Scanner (ABVS) ACUSON S2000 in the diagnosis of soft tissue tumors.
  
  
  METHODS
  The data of handheld ultrasound (HHUS) scans and ABVS volume three-dimensional (3D) reconstruction were collected from 66 patients with soft tissue tumors. The diagnosis rates for the two methods were compared. Additionally, the sonographic features of the lesions on ABVS imaging were evaluated. The data of the sonographic "hyperechoic rim sign" and "heterogeneous texture sign" were analyzed for the differential diagnosis.
  
  
  RESULTS
  Automatic 3D reconstruction and high-resolution images from the coronal and sagittal planes were obtained using the ABVS. Although the ABVS is similar to HHUS in terms of sensitivity (81.8% vs. 77.3%, respectively), specificity (93.2% vs. 88.6%, respectively), and accuracy (89.4% vs. 84.8%, respectively), the success rates for full view of the lesion and detection rates of multiple lesions are significantly improved by the ABVS. Furthermore, the "hyperechoic rim sign" can be regarded as a specific diagnostic factor for benign tumors, with a diagnostic specificity and a positive predictive value of 86.4% and 91.4%, respectively. Additionally, the "heterogeneous texture" appeared commonly in malignant tumors, with a diagnostic sensitivity and a negative predictive value of 81.8% and 87.5%, respectively.
  
  
  CONCLUSIONS
  Compared with conventional two-dimensional imaging, automatic 3D reconstruction and high-resolution images from three vertical planes can be displayed by the ABVS, and the global anatomy and surrounding tissue of the lesions can be clearly presented. Thus, ABVS imaging may help to differentiate between benign and malignant soft tissue tumors.
authors: Department of Ultrasonography, Beijing Ji Shui Tan Hospital, 4th Clinical Medical College of Peking University, Beijing 100035, China. Electronic address: chentao7199@126.com.
authors: Tao
authors: T
authors: Chen
authors: Department of Ultrasonography, Beijing Ji Shui Tan Hospital, 4th Clinical Medical College of Peking University, Beijing 100035, China.
authors: Hui
authors: H
authors: Gao
authors: Department of Ultrasonography, Beijing Ji Shui Tan Hospital, 4th Clinical Medical College of Peking University, Beijing 100035, China.
authors: Wen
authors: W
authors: Guo
authors: Department of Ultrasonography, Beijing Ji Shui Tan Hospital, 4th Clinical Medical College of Peking University, Beijing 100035, China.
authors: Xiaoting
authors: X
authors: Qing
authors: Department of Ultrasonography, Beijing Ji Shui Tan Hospital, 4th Clinical Medical College of Peking University, Beijing 100035, China.
authors: Kan
authors: K
authors: Gao
authors: Department of Ultrasonography, Beijing Ji Shui Tan Hospital, 4th Clinical Medical College of Peking University, Beijing 100035, China.
authors: Jingmiao
authors: J
authors: Yu
authors: Department of Ultrasonography, Beijing Ji Shui Tan Hospital, 4th Clinical Medical College of Peking University, Beijing 100035, China.
authors: Yukun
authors: Y
authors: Deng
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D002648:Child; D002675:Child, Preschool; D003937:Diagnosis, Differential; D005240:Feasibility Studies; D005260:Female; D006801:Humans; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods; D008297:Male; D008875:Middle Aged; D015588:Observer Variation; D010363:Pattern Recognition, Automated / Q000379:methods*; D015203:Reproducibility of Results; D012983:Soft Tissue Neoplasms / Q000000981:diagnostic imaging*; D014463:Ultrasonography; D055815:Young Adult
keywords: ABVS (Automated Breast Volume Scanner); Diagnosis analysis; Soft tissue tumor; Ultrasound