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预测已故供体肾移植受者肾功能和组织学损伤的潜在MRI生物标志物

Potential MRI Biomarkers for Predicting Kidney Function and Histological Damage in Transplanted Deceased Donor Kidney Recipients.

作者信息

Bura Andrejus, Stonciute-Balniene Gintare, Banisauskaite Audra, Velickiene Laura, Bumblyte Inga Arune, Jankauskas Antanas, Vaiciuniene Ruta

机构信息

Nephrology Department, Lithuanian University of Health Sciences, 44307 Kaunas, Lithuania.

Radiology Department, Lithuanian University of Health Sciences, 44307 Kaunas, Lithuania.

出版信息

J Clin Med. 2025 Feb 18;14(4):1349. doi: 10.3390/jcm14041349.

Abstract

: Kidney transplantation (kTx) is the preferred treatment for end-stage kidney disease. Limited evaluation of structural changes in transplanted kidneys hinders the timely prediction of disease progression and the implementation of treatment modifications. Protocol biopsies provide valuable insights but are invasive and carry risks of biopsy-related complications. This study investigates whether multiparametric magnetic resonance imaging (MRI), including T1 and T2 mapping and diffusion-weighted imaging (DWI), can predict kidney function and the progression of interstitial fibrosis and tubular atrophy (IF/TA) in the early post-transplant period. : A prospective study was conducted at The Hospital of Lithuanian University of Health Sciences Kauno Klinikos from May 2022 to March 2024. Thirty-four patients receiving kidney transplants from deceased donors underwent baseline biopsies and post-transplant MRI scans. Follow-up assessments included kidney function evaluation, biopsies, and MRI scans at three months post-transplant. : Significant correlations were observed between MRI parameters and kidney function: T1 and apparent diffusion coefficient (ADC) corticomedullary differentiation (CMD) correlated with eGFR at discharge (r = -0.338, = 0.05; r = 0.392, = 0.022, respectively). Linear and logistic regression models demonstrated that post-transplant T1 and ADC CMD values significantly predicted kidney function at discharge. Furthermore, T1 CMD values measured 10-15 days post-transplant predicted IF/TA progression at three months post-kTx, with an area under the curve of 0.802 (95% CI: 0.616-0.987, = 0.001) and an optimal cut-off value of -149.71 ms. The sensitivity and specificity were 0.818 and 0.273, respectively (Youden's index = 0.545). T2 mapping was not predictive. : This study highlights the potential immediate clinical utility of MRI-derived biomarkers, particularly ADC and T1 CMD, in centers equipped with advanced imaging capabilities as tools for assessing kidney function in the early post-transplant period. With an AUROC of 0.802, T1 CMD demonstrates strong discriminatory power for predicting IF/TA progression early in the post-transplant period.

摘要

肾移植(kTx)是终末期肾病的首选治疗方法。对移植肾结构变化的评估有限,这阻碍了对疾病进展的及时预测以及治疗调整的实施。方案活检提供了有价值的见解,但具有侵入性且存在活检相关并发症的风险。本研究调查了包括T1和T2映射以及扩散加权成像(DWI)在内的多参数磁共振成像(MRI)是否能够在移植后早期预测肾功能以及间质纤维化和肾小管萎缩(IF/TA)的进展。

一项前瞻性研究于2022年5月至2024年3月在立陶宛卫生科学大学考纳斯临床医院进行。34名接受已故捐赠者肾脏移植的患者接受了基线活检和移植后MRI扫描。随访评估包括移植后三个月的肾功能评估、活检和MRI扫描。

观察到MRI参数与肾功能之间存在显著相关性:T1和表观扩散系数(ADC)皮质髓质分化(CMD)与出院时的估算肾小球滤过率(eGFR)相关(分别为r = -0.338,P = 0.05;r = 0.392,P = 0.022)。线性和逻辑回归模型表明,移植后的T1和ADC CMD值显著预测了出院时的肾功能。此外,移植后10 - 15天测量的T1 CMD值预测了肾移植后三个月的IF/TA进展,曲线下面积为0.802(95%置信区间:0.616 - 0.987,P = 0.001),最佳截断值为 - 149.71毫秒。敏感性和特异性分别为0.818和0.273(约登指数 = 0.545)。T2映射无预测性。

本研究强调了MRI衍生生物标志物,特别是ADC和T1 CMD,在配备先进成像能力的中心作为移植后早期评估肾功能工具的潜在即时临床应用价值。T1 CMD的曲线下面积为0.802,在移植后早期预测IF/TA进展方面具有强大的辨别能力。

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