Retrospective study evaluates multiparametric MRI's ability to detect early chronic kidney disease, highlighting its potential in noninvasive diagnostics.
Key Points
The aim is to determine if contrast-free multiparametric MRI can detect intrarenal microcirculation changes associated with early chronic kidney disease.
Retrospective analysis of 54 confirmed CKD patients and 20 healthy controls.
Participants underwent multiparametric MRI using arterial spin labeling, IVIM, BOLD, and QSM techniques.
Logistic regression models were used to differentiate CKD from healthy controls based on MRI metrics and clinical data.
A multiparametric MRI model achieved excellent discrimination for CKD versus healthy controls (AUC = 0.976; p < 0.001).
The model also distinguished mild CKD from healthy controls (AUC = 0.948; p < 0.001).
MRI parameters correlated significantly with histopathological severity (| r | = 0.33–0.97).