Prediction of allograft function in pre-transplant kidneys using sound touch elastography (STE): an ex vivo study

作者：Fu‐shun Pan, Daopeng Yang, Guodong Zhao, Shu-Qi Huang, Yan Wang, Ming Xu, Jiang Qiu, Yanling Zheng, Xiaoyan Xie, Gang Huang · 发表于：Insights into Imaging · 年份：2024 · DOI：10.1186/s13244-024-01837-y · 被引用次数：4 · 研究领域：Organ Transplantation Techniques and Outcomes、Dialysis and Renal Disease Management、Genetic and Kidney Cyst Diseases

BACKGROUND: The purpose of the study was to evaluate renal quality and predict posttransplant graft function using ex vivo sound touch elastography (STE). METHODS: ) was obtained and synthesized into one index (STE) through the factor analysis method. Additionally, 100 recipients were followed up for 6 months. A random forest algorithm was employed to explore significant predictive factors associated with the Remuzzi score and allograft function. The performance of parameters was evaluated by using the area under the receiver operating characteristic curve (AUC). RESULTS: STE had AUC values of 0.803 for diagnosing low Remuzzi and 0.943 for diagnosing high Remuzzi. Meanwhile, STE had an AUC of 0.723 for diagnosing moderate to severe ATI. Random forest algorithm identified STE and Remuzzi score as significant predictors for 6-month renal function. The AUC for STE in predicting postoperative allograft function was 0.717, which was comparable with that of the Remuzzi score (AUC = 0.756). Nevertheless, the specificity of STE was significantly higher than that of Remuzzi (0.913 vs 0.652, p < 0.001). Given these promising results, donor kidneys can be transplanted directly without the need for biopsy when STE ≤ 11.741. CONCLUSIONS: The assessment of kidney quality using ex vivo STE demonstrated significant predictive value for the Remuzzi score and allograft function, which could help avoid unnecessary biopsy. CRITICAL RELEVANCE STATEMENT: Pre-transplant kidney quality measured with...