Prediction of early renal allograft dysfunction using multiparametric magnetic resonance imaging

This study shows that mpMRI parameters, particularly RBF and T1ρ mapping, have potential as biomarkers for predicting early renal allograft dysfunction.

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Publication Details

Journal
Quantitative Imaging in Medicine and Surgery
Published
2025-04-30
DOI
https://doi.org/10.21037/qims-24-2182
Citations
1
Primary Topic
MRI in cancer diagnosis
Type
article
Field-Weighted Citation Impact
1.36
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article

Prediction of early renal allograft dysfunction using multiparametric magnetic resonance imaging

Xiuzheng Yue, Pu Xia, Ling Zhang, Sheng Xie et al.
1 citations
Quantitative Imaging in Medicine and Surgery
MRI in cancer diagnosis
1.36
article

Prediction of early renal allograft dysfunction using multiparametric magnetic resonance imaging

Xiuzheng Yue, Pu Xia, Ling Zhang, Sheng Xie, Sophie Zhuang, Yiwei Li, Zhenshan Ding
article en
1 citations

Abstract

This study shows that mpMRI parameters, particularly RBF and T1ρ mapping, have potential as biomarkers for predicting early renal allograft dysfunction.

Quantitative Imaging in Medicine and SurgeryVol. 15(5)
China-Japan Friendship Hospital (CN), Philips (China) (CN)
Zero hunger
Openalex Percentile: Top 21%
MRI in cancer diagnosis
1.36
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