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Early detection of renal allograft dysfunction plays a critical role in the management of immunosuppression and the survival of renal allograft. However, early detection of renal allograft dysfunction still has certain challenges because no significant changes could be observed in clinical manifestations and biochemical parameters during the early stage. As a novel ultrasound examination tool in recent years, shear wave elastography has been successfully applied in the detection of thyroid, breast, liver and alternative organs. In addition, it also has promising application prospect in the examination of renal allograft due to multiple advantages of real-time, dynamic, accuracy and repeatability. In this article, the classification, principle, advantages, influencing factors of shear wave elastography and its application in the field of kidney transplantation were reviewed, aiming to provide reference for clinicians to make accurate decisions in the prevention and monitoring of renal allograft diseases.
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Objective • To explore the value of the 2013 version of the ultrasound breast imaging reporting and data system (BI-RADS) classification diagnostic criteria combined with ultrasound shear wave elastography (SWE) to identify benign and malignant breast lesions. Methods • A total of 175 solid breast masses in 155 women were examined with ultrasound, and were judged to be benign or malignant by BI-RADS classification criteria. Then all the masses were examined with shear wave elastography (SWE), to obtain shear wave quantitative parameters of benign and malignant breast lesions, the pathological results were used as the gold standard to construct the receiver operating characteristic (ROC) curve of the subjects, which were used to compare the diagnostic value of the two methods alone and in combination. Results • The area under curve (AUC) of the BI-RADS classification diagnostic criteria, the Emax value, and the combination of the two methods to differential diagnosis of benign and malignant breast nodules were 0913, 0.884 and 0.957, respectively. Through pairwise comparison, there was significant difference in AUC between the two methods alone and their combination (BI-RADS classification vs. combination: Z=2.883, P=0.002; SWE vs. combination: Z=4.081, P=0.000). Conclusion • The combination of BI-RADS classification and SWE technology can improve the diagnostic accuracy of breast lesions.
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Objective · To explore the value of the 2013 version of the ultrasound breast imaging reporting and data system (BI-RADS) classification diagnostic criteria combined with ultrasound shear wave elastography (SWE) to identify benign and malignant breast lesions. Methods · A total of 175 solid breast masses in 155 women were examined with ultrasound, and were judged to be benign or malignant by BI-RADS classification criteria. Then all the masses were examined with shear wave elastography (SWE), to obtain shear wave quantitative parameters of benign and malignant breast lesions, the pathological results were used as the gold standard to construct the receiver operating characteristic (ROC) curve of the subjects, which were used to compare the diagnostic value of the two methods alone and in combination. Results · The area under curve (AUC) of the BI-RADS classification diagnostic criteria, the Emax value, and the combination of the two methods to differential diagnosis of benign and malignant breast nodules were 0913, 0.884 and 0.957, respectively. Through pairwise comparison, there was significant difference in AUC between the two methods alone and their combination (BI-RADS classification vs. combination: Z=2.883, P=0.002; SWE vs. combination: Z=4.081, P=0.000). Conclusion · The combination of BI-RADS classification and SWE technology can improve the diagnostic accuracy of breast lesions.
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Sonographic elastography is a new technique for measurement of the tissue stiffness, and is currently under investigation for tissue characterization in several anatomic sites. In recent years, real-time Ultrasonography elastography (USE) modes have appeared on commercially available clinical ultrasound machines, stimulating an explosion of research into potential oncologic and non-oncologic clinical applications of USE. Preliminary evidence suggests that USE can differentiate benign and malignant conditions accurately in several different tissues. The principles underlying elastography are that tissue compression produces strain (displacement) within the tissue – which is lower in harder tissues than in softer tissues and that malignant tissues are generally harder than normal surrounding tissue. Therefore, elastography might yield clinical information useful in diagnosing cervical metastasis and improving prognosis in oral cancer .The purpose of this review is to highlight a promising new ultrasound technique, known as elastography, which measures the characteristics of tissue compliance.
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@#BACKGROUND: Chronic viral hepatitis is the most important public health problems and main cause of liver fibrosis. Progressive hepatic fibrosis will gradually lead to liver cirrhosis, hepato-cellular carcinoma and liver failure and deaths. Study of liver fibrosis is becomes an essential issue of prevention, prognosis and radical treatment plan. The evaluation of liver fibrosis using ultrasound based-electrographic shear wave elastography (SWE) with elastography point quantification (ElastPQ) is a modern non-invasive method. This study is aimed to evaluate diagnostic value of SWE with ElastPQ feature of liver fibrosis. MATERIAL: A total of 110 patients with chronic viral (B, C and D) infection and 50 healthy controls were involved. Quantitative evaluation of LS was performed by Philips iU 22 ultrasound system with ElastPQ using convex transducer C5-1. RESULTS: In HBV patients: no fibrosis F0 score 7, mean liver stiffness was 3.1±0.28 kPa, mild liver fibrosis F1 score 26, mean LS was 4.9±0.90 kPa, F2 score 4, mean LS was 8.0±0.56 kPa, F3 score 3, mean LS was 11.0±0.83 kPa, and F4 score or liver cirrhosis 2, mean LS was 17±4.3 kPa, respectively. In patients HCV; F0 score -5, mean LS was 3.2±0,08 kPa, F1-36, mean LS was 5.0±0.94 kPa, F2 score-10, mean LS was 8.1±0.90 kPa, F3-10, mean LS was 10.9±1.03kPa, and F4 score 5, mean LS 15.9±2.8kPa, respectively. In patients with HBV, HDV; F0 score-1, liver stiffness was 3.2kPa, F1-13, mean LS was 4.9±0.72 kPa, F2 score 2, mean LS was 8.0±0.56kPa, F3 score, LS was 10.8kPa, F4 score 1, LS was 20.1kPa, respectively. CONCLUSIONS: Shear wave elastography with elastography point quantification technique is a reliable that can to detect of the earlier fibrosis stage in chronic viral hepatitis patients. ElastPQ SWE method is an optimal to monitor liver tissue stiffness in patients with chronic liver diseases.