ObjectiveTo explore the value of ultrasound real-time tissue elastography in the differential diagnosis between benign and malignant breast lesions.Methods A total of 131 cases of patients with breast lesions who underwent ultrasound examination in the People’s Hospital of Guangan City between December 2010 and December 2015 were enrolled as the research object. The patients took conventional color Doppler ultrasound diagnosis firstly, and then took ultrasound real-time tissue elastography diagnosis. The lesions were scored with improved 5-scoring system respectively. By the strain ratio measure method equipped with the ultrasonic machine, strain ratio of the lesion was calculated, with 3.08 as the cut-off pont. The results were campared with the pathologic diagnosis.ResultsThere were 182 breast lumps in the 131 patients. The conventional ultrasound examination detected 128 benign lesions and 54 malignant lesions. By ultrasound real-time tissue elastography examination, there were 121 benign tumors and 61 malignant tumors. For the benign tumors, the elasticity imaging score was 1.74±0.81, and the elastic strain rate ratio was 1.83±1.22; for the malignant tumors, the elasticity imaging score was 4.45±0.59, and the elastic strain rate ratio was 8.68±5.58. The 182 breast lumps were all removed by surgical resection, and the pathologic examination showed there were 121 benign lesions and 61 malignant lesions. The accuracy, sensitivity and specificity of conventional ultrasonic diagnosis of breast malignant lesions was 76.4%, 59.0% and 85.1%, respectively; while the indexes of ultrasound real-time tissue elastography diagnosis of breast malignant lesions was 96.7%, 95.1% and 97.5%, respectively, and the differences were statistically significant (P<0.05).ConclusionReal-time tissue elastography is helpful in the differential diagnosis between malignant and benign breast lesions.
Objective To evaluate the significance of the ultrasound elastography (UE) strain ratio (SR) in the diagnosis of breast nodule by meta-analysis. Methods A computer-based online search was conducted in PubMed, The Cochrane Library (Issue 6, 2017), EMbase, CNKI, VIP, CBM, WanFang data databases, and so on (establishment time to June 2017), to collect the relevant diagnostic trials of the SR for breast nodules. Two reviewers independently screened literatures, extracted data, and evaluated the methodological quality of included studies. The meta-analysis was performed by using Stata 12.0 and Meta-Disc 1.4 software, and the combined indexes included sensitivity (Sen), specificity (Spe), positive likelihood ratio (LR+), negative likelihood ratio (LR–), and diagnostic odds ratio (DOR). Results A total of 26 studies were finally included. The results of meta-analysis showed that, the pooled Sen, Spe, LR+, LR–, and DOR was 0.88 (95% CI was 0.87 to 0.90), 0.85 (95% CI was 0.84 to 0.86), 6.66 (95% CI was 5.26 to 8.43), 0.14 (95% CI was 0.11 to 0.17), and 53.37 (95% CI was 34.96 to 81.49), respectively, P<0.000 1. Conclusion SR has high diagnostic accuracy in the differential diagnosis of benign and malignant breast nodules, it is worthy of widely utilized in the clinic.