ArticleEuropean radiology2023
Quantitative ultrasound for non-invasive evaluation of subclinical rejection in renal transplantation.
Article in European radiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 12 citations in OpenAlex.
- Multimodal quantitative ultrasound for non-invasive assessment of renal allograft dysfunction: a prospective diagnostic study.World journal of urology · 2026Article
- Doppler ultrasound for the evaluation of chronic renal allograft dysfunction.Quantitative imaging in medicine and surgery · 2026Article
- A bibliometric analysis of ultrasound-based evaluation in renal transplantation.Translational andrology and urology · 2025Article
- Role of elastography and dynamic contrast-enhanced ultrasound in the evaluation of pancreas transplantation rejection.European radiology · 2025Article
- Novel non-invasive and quantitative assessment of the renal function of transplanted kidneys using Doppler ultrasonography with the vascular index of superb microvascular imaging.Ultrasonography (Seoul, Korea) · 2025Article
- Developing clinical prognostic models to predict graft survival after renal transplantation: comparison of statistical and machine learning models.BMC medical informatics and decision making · 2025Article
- Application of ultrasound in early prediction of delayed graft function after renal transplantation.Abdominal radiology (New York) · 2024Review
- Ultrasound super-resolution imaging for the assessment of renal allograft dysfunction: A pilot study.Heliyon · 2024Article
- Standardized evaluation methodology for renal cortical blood perfusion in elderly patients using contrast-enhanced ultrasound: A Chinese expert consensus (2024 edition).Aging medicine (Milton (N.S.W)) · 2024Article
- Classification Model for Epileptic Seizure Using Simple Postictal Laboratory Indices.Journal of clinical medicine · 2023Article
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesThis study aimed to investigate the predictive efficacy of shear-wave elastography, superb microvascular imaging (SMI), and CEUS for allograft rejection in kidney transplants without graft dysfunction.
methodsFrom January 2021 to November 2021, 72 consecutive patients who underwent both allograft biopsy and ultrasound were evaluated. Blood test results were obtained within a week of the ultrasound examinations, which were performed before the protocol biopsy. Resistive index (RI), tissue viscoelasticity, vascular index, and quantitative CEUS parameters were measured. Patients were divided based on biopsy results into the rejection and non-rejection groups.
resultsAmong the 72 patients, 21 patients had pathological characteristics of acute rejection. RI of allograft was significantly higher in the rejection group (p = 0.007), compared to the non-rejection group. There were no significant between-group differences in vascular indices of SMI, mean elasticity, and mean viscosity. Meanwhile, among the parameters obtained by the time-intensity curve on CEUS, the cortical and medullary ratios of average contrast signal intensity, peak enhancement, wash-in area AUC, wash-in perfusion index, wash-out AUC, and wash-in and wash-out AUC were significantly different between the two groups (p < 0.05). In the receiver operating characteristic curve analysis for predicting allograft rejection, the AUC was 0.853 for the combination of six CEUS parameters, RI, and blood urea nitrogen.
conclusionsAmong non-invasive quantitative ultrasound measurements, CEUS parameters are the most useful for diagnosing subclinical allograft rejection. Furthermore, the combination of CEUS parameters, RI, and blood urea nitrogen may be helpful for the early detection of renal allograft rejection. KEY POINTS: • Among non-invasive quantitative ultrasound measurements, CEUS parameters are the most useful for the diagnosis of subclinical allograft rejection. • On CEUS, the C/M ratios of MeanLin, PE, WiAUC, WiPI, WoAUC, and WiWoAUC are significantly lower in the rejection group; the combination of these showed reliable predictive performance for rejection. • The combination of CEUS parameters, RI, and BUN has a high predictive capability for subclinical allograft rejection.
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