MR Diffusion Models for Non-invasively Assessing Renal Interstitial Fibrosis and Annual Renal Function Loss in Chronic Kidney Disease

Motivation: Non-invasive and reliable biomarkers for grading interstitial fibrosis (IF) and predicting progression of chronic kidney disease (CKD) are needed. Goal(s): To explore the effectiveness of seven diffusion models (DWI, IVIM, DKI, CTRW, FROC, SEM, and sADC) in assessing renal IF and annual renal function loss in CKD. Approach: The performances of diffusion models in distinguishing between mild and moderate-to-severe IF were evaluated. The association between diffusion metrics and estimated glomerular filtration rate (eGFR) slopes were investigated. Results: Combined model of cortical fIVIM, MKDKI and eGFR outperformed individual clinical model in grading IF, with cortical fIVIM and αSEM as potential biomarkers for CKD progression. Impact: This study identifies the optimal diffusion metrics for grading renal IF and predicting short-term progression of CKD, aiding in the guidance of personalized management and the prevention of poor outcomes.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2025-09-16
DOI
https://doi.org/10.58530/2025/1018
Primary Topic
MRI in cancer diagnosis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

MR Diffusion Models for Non-invasively Assessing Renal Interstitial Fibrosis and Annual Renal Function Loss in Chronic Kidney Disease

Ping Liang, Wen‐Jone Chen, Ting Yin, Guanjie Yuan et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
MRI in cancer diagnosis
article

MR Diffusion Models for Non-invasively Assessing Renal Interstitial Fibrosis and Annual Renal Function Loss in Chronic Kidney Disease

Ping Liang, Wen‐Jone Chen, Ting Yin, Guanjie Yuan, Zhouyan Liao, Chuou Xu, Zhen Li
article en

Abstract

Motivation: Non-invasive and reliable biomarkers for grading interstitial fibrosis (IF) and predicting progression of chronic kidney disease (CKD) are needed. Goal(s): To explore the effectiveness of seven diffusion models (DWI, IVIM, DKI, CTRW, FROC, SEM, and sADC) in assessing renal IF and annual renal function loss in CKD. Approach: The performances of diffusion models in distinguishing between mild and moderate-to-severe IF were evaluated. The association between diffusion metrics and estimated glomerular filtration rate (eGFR) slopes were investigated. Results: Combined model of cortical fIVIM, MKDKI and eGFR outperformed individual clinical model in grading IF, with cortical fIVIM and αSEM as potential biomarkers for CKD progression. Impact: This study identifies the optimal diffusion metrics for grading renal IF and predicting short-term progression of CKD, aiding in the guidance of personalized management and the prevention of poor outcomes.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Openalex Percentile: Top 65%
MRI in cancer diagnosis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

MR Diffusion Models for Non-invasively Assessing Renal Interstitial Fibrosis and Annual Renal Function Loss in Chronic Kidney Disease — Ping Liang, Wen‐Jone Chen, et al. · Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition (2025) | TGRS Research Map | TGRS