Evaluation of multiparametric MRI and clinical indicators for renal fibrosis in chronic kidney disease

作者：Chaogang Wei, Rong Liu, Xiaojing Li, Chunshan Zhou, Qing Ma, Yilin Xu, Ye Zhu, Junkang Shen, Ying Zeng, Kai Song, Zhen Jiang · 发表于：Quantitative Imaging in Medicine and Surgery · 年份：2025 · DOI：10.21037/qims-2024-2532 · 被引用次数：3 · 研究领域：MRI in cancer diagnosis、Ultrasound and Hyperthermia Applications、Systemic Sclerosis and Related Diseases

Background: * mapping imaging with clinical indicators in detecting RF caused by CKD. Methods: . RF 3). Then, combined models were constructed. Receiver operating characteristic (ROC) curves were plotted to evaluate the diagnostic performance of the models. Areas under the curves (AUCs) were compared using DeLong's test. Results: , the sensitivity of the combined model-2 to discriminate mild RF from moderate to severe RF increased to 92.5%, with a specificity of 77.8%. Conclusions: mapping and RESOLVE-DWI in combination with the eGFR can improve the diagnostic sensitivity of CKD-related RF, thus contributing to the early detection of RF and clinical decision-making.