Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-Sen University, NO. 58 Zhongshan Road 2, Guangzhou, 510080, People's Republic of China.
Organ Transplant Center, The First Affiliated Hospital of Sun Yat-Sen University, NO. 58 Zhongshan Road 2, Guangzhou, 510080, People's Republic of China.
Eur Radiol. 2023 Feb;33(2):763-773. doi: 10.1007/s00330-022-09054-1. Epub 2022 Sep 6.
To construct a nomogram with high-frequency shear wave elastography (SWE) as a noninvasive method to accurately assess chronic changes in renal allografts.
A total of 191 renal transplantation patients (127 cases in the training group and 64 cases in the verification group) were included in this study. All patients received conventional ultrasound and high-frequency SWE examination, followed directly by biopsy the next day. The chronic changes were divided into mild, moderate, and severe. Multivariate logistic analyses were used to select significant variables, which were used to develop the nomogram. Nomogram models were assessed by receiver operating characteristic (ROC) curves, calibration plots, and decision curve analysis (DCA).
The cutoff value of SWE in mild, moderate, and severe chronic changes was 18.9, 22.5, and 27.6 kPa, respectively. The areas under the curve (AUCs) of SWE in the differential diagnosis of mild and moderate to severe chronic changes and mild to moderate and severe chronic changes were 0.817 and 0.870, respectively. Multivariate analysis showed that time since transplantation, proteinuria, glomerular filtration rate, echogenicity, and SWE were independent diagnostic factors for moderate to severe chronic changes (all p < 0.05); thus, a nomogram was successfully developed. The AUCs of the nomogram in the training and validation groups were 0.905 and 0.938, respectively. The high agreement between the model predictions and the actual observations was confirmed by calibration plot and DCA.
Based on SWE, the nomogram provided an insightful and applicable tool to evaluate chronic changes in renal allografts.
• In kidney transplantation, compared with acute changes, chronic changes are significantly correlated with cortical stiffness. • SWE shows good performance in identifying mild to moderate and severe chronic changes, with an AUC of 0.870. • Time since transplantation, proteinuria, glomerular filtration rate, echogenicity, and SWE are independent diagnostic factors for moderate to severe chronic changes in renal allografts.
构建高频剪切波弹性成像(SWE)作为一种非侵入性方法,以准确评估肾移植慢性变化的列线图。
本研究共纳入 191 例肾移植患者(训练组 127 例,验证组 64 例)。所有患者均接受常规超声和高频 SWE 检查,次日直接行活检。将慢性变化分为轻度、中度和重度。采用多变量逻辑分析选择有意义的变量,用于建立列线图。通过受试者工作特征(ROC)曲线、校准图和决策曲线分析(DCA)评估列线图模型。
SWE 在轻度、中度和重度慢性变化中的截断值分别为 18.9、22.5 和 27.6kPa。SWE 在鉴别轻度和中度至重度慢性变化以及轻度至中度和重度慢性变化中的曲线下面积(AUC)分别为 0.817 和 0.870。多变量分析显示,移植后时间、蛋白尿、肾小球滤过率、回声强度和 SWE 是中度至重度慢性变化的独立诊断因素(均 P<0.05);因此,成功建立了列线图。训练组和验证组列线图的 AUC 分别为 0.905 和 0.938。校准图和 DCA 证实了模型预测与实际观察之间的高度一致性。
基于 SWE,该列线图为评估肾移植慢性变化提供了一种有见地且实用的工具。
在肾移植中,与急性变化相比,慢性变化与皮质硬度显著相关。
SWE 在识别轻度至中度和重度慢性变化方面具有良好的性能,AUC 为 0.870。
移植后时间、蛋白尿、肾小球滤过率、回声强度和 SWE 是肾移植中度至重度慢性变化的独立诊断因素。