Native T1 mapping-based radiomics diagnosis of kidney function and renal fibrosis in chronic kidney disease

Chronic kidney disease (CKD) raises major concerns for global public health as it is characterized by high prevalence, low awareness, high healthcare costs, and poor prognosis. Therefore, our study prospectively established and validated native T₁ mapping-based radiomics models for the prediction of renal fibrosis and renal function in patients with CKD. Moreover, the area under the receiver operating characteristic curve (AUC) and diagnostic sensitivity, specificity, accuracy, positive predictive value, and negative predictive value were used to evaluate its performance. Thus, our results show that radiomics based on native T₁ mapping images can better identify renal function and renal fibrosis in patients with CKD and outperform conventional T₁ mapping parameters of ΔT₁ and T₁%, thus providing more information for CKD management and clinical decision-making.