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Explore the Value of Multi-Parameter MRI in Non-Invasive Assessment of Prognostic Risk and Oxford Classification in Children with IgAN or IgAVN.

Authors :
Liao, Zhouyan
Yuan, Guanjie
He, Kangwen
Li, Shichao
Gao, Mengmeng
Liang, Ping
Xu, Chuou
Zhang, Yu
Li, Zhen
Source :
Bioengineering (Basel). Aug2024, Vol. 11 Issue 8, p750. 14p.
Publication Year :
2024

Abstract

Purpose: To explore the Oxford classification and prognostic risk stratification of the non-invasive evaluation of immunoglobulin A nephropathy (IgAN) or immunoglobulin A vasculitis with nephritis (IgAVN) in children using multiparametric magnetic resonance imaging (MRI). Materials and Methods: Forty-four children diagnosed with IgAN or IgAVN were included. Patients with 80-month risk scores >10% were categorized as the high-risk group, while others constituted the low-risk group. The T2* and apparent diffusion coefficient (ADC) values of the renal cortex and medulla were measured. Clinical and pathological parameters were also assessed. Univariate and multivariate logistic regression analyses were performed to identify the indicators associated with the high-risk group. Receiver operating characteristic (ROC) curves were drawn and the areas under the curve (AUCs) were calculated to evaluate the diagnostic performance variables for differentiating the high-risk group from the low-risk group. Results: Only the T2*Cortex and mean arterial pressure (MAP) were independently reliable in both the univariate and multivariate analyses. The AUCs for differentiating the high-risk group from the low-risk group of T2*Cortex, MAP, and their combination model were 0.907, 0.881, and 0.947, respectively. Conclusions: Multiparametric MRI parameters, especially T2* values, could be used as new biomarkers to provide a new dimension in chronic kidney disease-related research and could play an important role in the non-invasive prognosis of children with IgAN or IgAVN. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
23065354
Volume :
11
Issue :
8
Database :
Academic Search Index
Journal :
Bioengineering (Basel)
Publication Type :
Academic Journal
Accession number :
179382763
Full Text :
https://doi.org/10.3390/bioengineering11080750