title: Diagnostic value of virtual touch tissue quantification for breast lesions with different size.
abstract: OBJECTIVE
  To evaluate diagnostic value of the virtual touch tissue quantification (VTTQ) for breast lesions with different sizes.
  
  
  METHODS
  Patients with 206 breast lesions were categorized into three groups according to lesion size (<10 mm, 10-20 mm, and >20 mm). Breast lesions were examined by conventional ultrasound and VTTQ, and shear wave velocity (SWV) of each lesion and adjacent normal breast tissue were measured. Diagnoses were confirmed by pathological examination after surgery. The receiver-operating characteristic curve (ROC) analyses were performed to evaluate the diagnostic value of SWV, and the area under curves (AUC) was compared among groups.
  
  
  RESULTS
  SWV of malignant lesions was much higher than that of benign lesions, whereas the difference was not obvious for lesions <10 mm (P = 0.15). There was statistical significant difference of AUC between lesions <10 mm and 10-20 mm (P < 0.05), as well as lesions <10 mm and >20 mm (P < 0.05). The sensitivity of lesions <10 mm was 33.33%, which was relatively low compared to other groups.
  
  
  CONCLUSIONS
  According to our results, VTTQ is a promising method for breast lesions >10 mm, and further studies were warranted to improve sensitivity of VTTQ for breast lesions <10 mm.
authors.affiliation: Department of Ultrasound in Medicine, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No. 301, Yanchangzhong Road, Zhabei, Shanghai 200072, China.
authors.forename: Minghua
authors.initials: M
authors.lastname: Yao
authors.affiliation: Department of Ultrasound in Medicine, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No. 301, Yanchangzhong Road, Zhabei, Shanghai 200072, China.
authors.forename: Jian
authors.initials: J
authors.lastname: Wu
authors.affiliation: Department of Health Statistics, Tongji University School of Medicine, Shanghai 200072, China.
authors.forename: Liling
authors.initials: L
authors.lastname: Zou
authors.affiliation: Department of Ultrasound in Medicine, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No. 301, Yanchangzhong Road, Zhabei, Shanghai 200072, China.
authors.forename: Guang
authors.initials: G
authors.lastname: Xu
authors.affiliation: Department of Ultrasound in Medicine, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No. 301, Yanchangzhong Road, Zhabei, Shanghai 200072, China.
authors.forename: Juan
authors.initials: J
authors.lastname: Xie
authors.affiliation: Department of Ultrasound in Medicine, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No. 301, Yanchangzhong Road, Zhabei, Shanghai 200072, China.
authors.forename: Rong
authors.initials: R
authors.lastname: Wu
authors.affiliation: Department of Ultrasound in Medicine, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No. 301, Yanchangzhong Road, Zhabei, Shanghai 200072, China.
authors.forename: Huixiong
authors.initials: H
authors.lastname: Xu
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000465:Algorithms; D001943:Breast Neoplasms / Q000000981:diagnostic imaging* / Q000503:physiopathology*; D055119:Elastic Modulus; D054459:Elasticity Imaging Techniques / Q000379:methods*; D005260:Female; D006801:Humans; D007089:Image Enhancement / Q000379:methods*; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D008875:Middle Aged; D010173:Palpation; D015203:Reproducibility of Results; D012680:Sensitivity and Specificity; D014584:User-Computer Interface