Applications of Mechanical Arm in the Virtual Touch Tissue Imaging Quantification and the Differential Diagnosis of Breast Tumors. Issue 1 (8th March 2022)

• Record Type: Journal Article
• Authors: Li, Ling; Lv, Guorong; Shen, Haolin; Liao, Liping; Zhong, Rong; Zheng, Chunnuan; Yang, Shuping
• Is Part Of: Ultrasound quarterly. Volume 38:Issue 1(2022)
• Page Start: 25
• Page End: 30
• Publication Date: 2022-03-08
• Subjects: virtual touch tissue imaging -- breast cancer -- elastography measurements -- handheld probe; Diagnostic ultrasonic imaging -- Periodicals; 616.07543
• DOI: 10.1097/RUQ.0000000000000577
• Languages: English
• ISSNs: 0894-8771

Abstract

Abstract: To assess the diagnostic performance of quantitative parameters for virtual touch tissue imaging quantification by the mechanical arm probe, 128 women with 152 breast lesions (90 benign and 62 malignant) were included and maximum elasticity ( V max ), median elasticity ( V mean ), maximum elasticity minus minimum ( V max-min ), and minimum elasticity ( V min ) were measured. Intercorrelation coefficients and Bland-Altman plots were used to compare the repeatability and consistency of handheld probe and mechanical arm measurements. Receiver operating characteristic curve was used to evaluate the diagnostic efficiency. The results showed that intercorrelation coefficients were 0.694 to 0.951 by the mechanical arm and 95% limits of agreement were wider than handheld probe. Using 4.36 m/s as cutoff value for V max by the mechanical arm, we achieved sensitivity (88.7%) and specificity (90.0%). We concluded that the mechanical arm can reduce the influence of different scanning pressures on the elastic modulus of breast tissue.