» Articles » PMID: 30887637

Prediction of Renal Allograft Chronic Rejection Using a Model Based on Contrast-enhanced Ultrasonography

Overview
Date 2019 Mar 20
PMID 30887637
Citations 11
Authors
Affiliations
Soon will be listed here.
Abstract

Objective: To evaluate the application of contrast-enhanced ultrasonography (CEUS) for the diagnosis of renal allograft chronic rejection (CR).

Methods: A total of 104 patients who were suspected to have AR or CR were enrolled in this study (derivation group, n = 66; validation group, n = 38). Before biopsy, all patients received an ultrasound examination.

Results: In the CR group, rising time (RT) and time to peak (TTP) of medulla (RTm and TTPm, respectively) were significantly longer compared to those in the AR group. The kidney volume was significantly decreased in the CR group but was increased in the AR group. In the derivation group, age, change in kidney volume, and TTPm were identified as independent predictors by multivariate analysis. Based on the multivariate analysis results and area under receiver operating characteristic (ROC) curves (AUROCs) of individual markers, we constructed a new index as follows: P = -5.424 + 0.074 × age -9.818 × kidney volume change + 0.115 × TTPm; New Index = e /(1 + e ). The new index discriminates CR from AR and had better AUROCs than any other parameters.

Conclusion: In conclusion, the new index provides a new diagnosis model for CR.

Citing Articles

Ultrasound super-resolution imaging for the assessment of renal allograft dysfunction: A pilot study.

Hu Y, Lei Y, Yu M, Zhang Y, Huang X, Zhang G Heliyon. 2024; 10(16):e36515.

PMID: 39247269 PMC: 11380004. DOI: 10.1016/j.heliyon.2024.e36515.


Noninvasive quantification of granzyme B in cardiac allograft rejection using targeted ultrasound imaging.

Jin Y, Gao P, Liang L, Wang Y, Li J, Wang J Front Immunol. 2023; 14:1164183.

PMID: 37435082 PMC: 10331296. DOI: 10.3389/fimmu.2023.1164183.


Quantitative ultrasound for non-invasive evaluation of subclinical rejection in renal transplantation.

Kim D, Lee J, Ahn J, Lee T, Eom M, Cho H Eur Radiol. 2022; 33(4):2367-2377.

PMID: 36422649 DOI: 10.1007/s00330-022-09260-x.


Factors influencing the time-intensity curve analysis of contrast-enhanced ultrasound in kidney transplanted patients: Toward a standardized contrast-enhanced ultrasound examination.

Friedl S, Jung E, Bergler T, Tews H, Banas M, Banas B Front Med (Lausanne). 2022; 9:928567.

PMID: 36091698 PMC: 9452686. DOI: 10.3389/fmed.2022.928567.


Contrast Enhanced Ultrasound Compared with MRI and CT in the Evaluation of Post-Renal Transplant Complications.

David E, Del Gaudio G, Drudi F, Dolcetti V, Pacini P, Granata A Tomography. 2022; 8(4):1704-1715.

PMID: 35894008 PMC: 9326620. DOI: 10.3390/tomography8040143.


References
1.
Yang C, Hu M, Zhu T, He W . Evaluation of kidney allograft status using novel ultrasonic technologies. Asian J Urol. 2017; 2(3):142-150. PMC: 5730712. DOI: 10.1016/j.ajur.2015.06.008. View

2.
Yang C, Wu S, Yang P, Shang G, Qi R, Xu M . Prediction of renal allograft chronic rejection using a model based on contrast-enhanced ultrasonography. Microcirculation. 2019; 26(6):e12544. PMC: 6767498. DOI: 10.1111/micc.12544. View

3.
Young L, Regan M, Barry M, Geraghty J, Fitzpatrick J . Methods of renal blood flow measurement. Urol Res. 1996; 24(3):149-60. DOI: 10.1007/BF00304078. View

4.
KREIS H, Ponticelli C . Causes of late renal allograft loss: chronic allograft dysfunction, death, and other factors. Transplantation. 2001; 71(11 Suppl):SS5-9. View

5.
Zeisbrich M, Kihm L, Druschler F, Zeier M, Schwenger V . When is contrast-enhanced sonography preferable over conventional ultrasound combined with Doppler imaging in renal transplantation?. Clin Kidney J. 2015; 8(5):606-14. PMC: 4581388. DOI: 10.1093/ckj/sfv070. View