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Prediction of Renal Allograft Acute Rejection Using a Novel Non-Invasive Model Based on Acoustic Radiation Force Impulse.

C. Yang,1 Y. Jin,2 S. Wu,3 T. Zhu,1 W. He.2

1Urology, Zhongshan Hospital, Fudan University, Shanghai, China
2Ultrasound, Zhongshan Hospital, Fudan University, Shanghai, China
3Gastroenterology and Hepatology, Zhongshan Hospital, Fudan University, Shanghai, China

Meeting: 2017 American Transplant Congress

Abstract number: D127

Keywords: Kidney transplantation, Rejection, Ultrasonography

Session Information

Session Name: Poster Session D: Kidney: Acute Cellular Rejection

Session Type: Poster Session

Date: Tuesday, May 2, 2017

Session Time: 6:00pm-7:00pm

 Presentation Time: 6:00pm-7:00pm

Location: Hall D1

Point shear wave elastography (p-SWE) based on acoustic radiation force impulse (ARFI) is a novel technology to quantify tissue stiffness by measuring shear wave speed (SWS). A total of 115 kidney transplantation recipients were consecutively enrolled in this prospective study. The patients were subdivided into two groups using 1 month post-transplantation as a cut-off time for determining the development of acute rejection (AR). The SWS level was significantly higher in the AR group compared with the non-AR group. A model named SEV was constructed consisting of SWS, eGFR, and kidney volume change which could successfully discriminate patients with or without AR. The area under the receiver operating characteristic curves (AUROC) of SEV was 0.89 which was higher than other variables, and it was even better in patients within 1 month post-transplantation (AUROC = 0.954), but it was lower than eGFR in patients after 1 month post-transplantation. Therefore, SEV model may predict AR after renal transplantation with a high degree of accuracy, and it may be more useful in the early postoperative stage after renal transplantation.

CITATION INFORMATION: Yang C, Jin Y, Wu S, Zhu T, He W. Prediction of Renal Allograft Acute Rejection Using a Novel Non-Invasive Model Based on Acoustic Radiation Force Impulse. Am J Transplant. 2017;17 (suppl 3).

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To cite this abstract in AMA style:

Yang C, Jin Y, Wu S, Zhu T, He W. Prediction of Renal Allograft Acute Rejection Using a Novel Non-Invasive Model Based on Acoustic Radiation Force Impulse. [abstract]. Am J Transplant. 2017; 17 (suppl 3). https://atcmeetingabstracts.com/abstract/prediction-of-renal-allograft-acute-rejection-using-a-novel-non-invasive-model-based-on-acoustic-radiation-force-impulse/. Accessed May 12, 2025.

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