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Prospective Evaluation of Various Ultrasound Parameters for Assessing Renal Allograft Rejection Subtypes: Elasticity and Dispersion as Diagnostic Tools

Authors
 Yeji Kwon  ;  Jongjin Yoon  ;  Dae Chul Jung  ;  Young Taik Oh  ;  Kyunghwa Han  ;  Minsun Jung  ;  Byung Chul Kang 
Citation
 YONSEI MEDICAL JOURNAL, Vol.66(4) : 249-258, 2025-04 
Journal Title
YONSEI MEDICAL JOURNAL
ISSN
 0513-5796 
Issue Date
2025-04
MeSH
Adult ; Aged ; Allografts / diagnostic imaging ; Elasticity ; Female ; Graft Rejection* / diagnosis ; Graft Rejection* / diagnostic imaging ; Humans ; Kidney Transplantation* / adverse effects ; Male ; Middle Aged ; Prospective Studies ; ROC Curve
Keywords
Renal allograft rejection ; color doppler imaging ; dispersion ; elasticity ; shear-wave imaging
Abstract
Purpose: Renal allograft rejection, either acute or chronic, is prevalent among many recipients. This study aimed to identify multiple Doppler ultrasound parameters for predicting renal allograft rejection.

Materials and methods: Between November 2021 and April 2022, 61 renal allograft recipients were studied prospectively after excluding two patients with dual transplants and seven with hydronephrosis. The analysis excluded 11 cases (10 due to missing Doppler data or pathology reports and one due to a high interquartile range/median dispersion value), resulting in a final analysis of 50 patients. Clinical characteristics, color Doppler imaging, superb microvascular imaging, and shear-wave imaging parameters were assessed by three experienced genitourinary radiologists. The Banff classification of the biopsy tissue served as the reference standard. Univariable and multivariable logistic regression, contingency matrices, and multiple machine-learning models were employed to estimate the associations.

Results: Fifty kidney transplant recipients (mean age, 53.26±8.86 years; 29 men) were evaluated. Elasticity (≤14.8 kPa) demonstrated significant associations for predicting the combination of (borderline) T cell-mediated rejection (TCMR) categories (Banff categories 3 and 4) (p=0.006) and yielded equal or higher area under the receiver operating characteristics curve (AUC) values compared to various classifiers. Dispersion (>15.0 m/s/kHz) was the only significant factor for predicting the combination of non-TCMR categories (Banff categories 2, 5, and 6) (p=0.026) and showed equal or higher AUC values than multiple machine learning classifiers.

Conclusion: Elasticity (≤14.8 kPa) showed a significant association with the combination of (borderline) TCMR categories, whereas dispersion (>15.0 m/s/kHz) was significantly associated with the combination of non-TCMR categories in renal allografts.
Files in This Item:
T202503585.pdf Download
DOI
10.3349/ymj.2024.0082
Appears in Collections:
1. College of Medicine (의과대학) > Dept. of Radiology (영상의학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Dept. of Pathology (병리학교실) > 1. Journal Papers
Yonsei Authors
Kang, Byung-Chul(강병철)
Jung, Dae Chul(정대철) ORCID logo https://orcid.org/0000-0001-5769-5083
Jung, Minsun(정민선) ORCID logo https://orcid.org/0000-0002-8701-4282
Han, Kyung Hwa(한경화)
URI
https://ir.ymlib.yonsei.ac.kr/handle/22282913/206218
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