An Analysis on the Value of Ultrasound Virtual Touch Tissue Quantification in the Differential Diagnosis for Benign and Malignant Breast Masses
JI Tian-tian;ZHAO Qing;ZHAI Hong;The Traditional Chinese Medicine Hospital of Xinjiang Medical University;
[Purpose] To investigate the value of ultrasound virtual touch tissue quantification(VTQ) in the differential diagnosis for benign and malignant breast masses. [Methods] The shearwave velcocity(SWV) of benign and malignant breast mass groups were compared by VTQ. The accuracy diagnostic rate,missed diagnosis rate,misdiagnosis rate,sensitivity,specificity,positive predictive value,negative predictive value and accuracy of benign and malignant breast masses detected by virtual touch tissue imaging(VTI),VTQ,two-dimensional ultrasound,and strain ratio method respectively were compared between 2 groups. [Results] There were significant differences in V_(max),V_(mean)or V_(mean)/V_(mean)*of SWV between malignant and benign masses(P0.05).While compared with malignant group,the Vminof benign group and the SWV in normal breast tissue had no significant difference(P 0.05). Compared with two-dimensional ultrasonic method and strain ratio method,the VTQ method had higher accuracy diagnostic rate,lower missed diagnosis and misdiagnosis rate with significant difference(P0.05). Compared with VTI method,the accuracy diagnostic rate of malignant lesions by VTQ was lower,the missed diagnosis rate was higher,while in the benign masses,the correct diagnostic rate of VTQ was higher,the misdiagnosis rate was lower(P0.05). Compared with VTQ method,the specificity,sensitivity,accuracy,positive and negative predictive value of two-dimensional ultrasonic method and strain ratio method were lower(P0.05),the sensitivity of VTI was higher,while the positive predictive value,specificity and accuracy were lower(P0.05). [Conclusion] The VTQ technology might conduce to the differential diagnosis of benign and malignant breast masses,and combination with other methods might improve the accuracy in the diagnosis for breast lesions.