PREDICTION OF RENAL ALLOGRAFT ACUTE REJECTION USING A NOVEL NON-INVASIVE MODEL BASED ON ACOUSTIC RADIATION FORCE IMPULSE

被引:19
作者
Yang, Cheng [1 ,2 ,3 ]
Jin, Yunjie [4 ]
Wu, Shengdi [5 ]
Li, Long [1 ,2 ]
Hu, Mushuang [1 ,2 ]
Xu, Ming [1 ,2 ]
Rong, Ruiming [1 ,2 ]
Zhu, Tongyu [1 ,2 ]
He, Wanyuan [4 ]
机构
[1] Fudan Univ, Zhongshan Hosp, Dept Urol, Shanghai, Peoples R China
[2] Shanghai Key Lab Organ Transplantat, Shanghai, Peoples R China
[3] Fudan Univ, Zhongshan Hosp, Dept Plast Surg, Shanghai, Peoples R China
[4] Fudan Univ, Zhongshan Hosp, Dept Ultrasound, Shanghai 200032, Peoples R China
[5] Fudan Univ, Zhongshan Hosp, Dept Gastroenterol & Hepatol, Shanghai, Peoples R China
基金
中国国家自然科学基金;
关键词
Acoustic radiation force impulse; Point shear wave elastography; Kidney transplantation; Acute rejection; Shear wave speed; Non-invasive; TISSUE ELASTICITY QUANTIFICATION; RESISTIVE INDEX; ELASTOGRAPHY; DYSFUNCTION; DIAGNOSIS; FIBROSIS; PATHOLOGY;
D O I
10.1016/j.ultrasmedbio.2016.05.003
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Point shear wave elastography based on acoustic radiation force impulse is a novel technology used to quantify tissue stiffness by measuring shear wave speed. A total of 115 kidney transplantation recipients were consecutively enrolled in this prospective study. The patients were subdivided into two groups using 1 mo post-transplantation as the cutoff time for determining the development of acute rejection (AR). Shear wave speed was significantly higher in the AR group than in the non-AR group. We created a model called SEV, comprising shear wave speed, estimated glomerular filtration rate and kidney volume change, that could successfully discriminate patients with or without AR. The area under the receiver operating characteristic curve of SEV was 0.89, which was higher than values for other variables; it was even better in patients within 1 mo post-transplantation (0.954), but was lower than the estimated glomerular filtration rate in patients after 1 mo post-transplantation. Therefore, the SEV model may predict AR after renal transplantation with a high degree of accuracy, and it may be more useful in the early post-operative stage after renal transplantation. (C) 2016World Federation for Ultrasound in Medicine & Biology.
引用
收藏
页码:2167 / 2179
页数:13
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