Detecting Early Kidney Allograft Fibrosis with Multi-b-value Spectral Diffusion MRI

Fuente: arXiv
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Autori principali: Liu, Mira M., Dyke, Jonathan, Gladytz, Thomas, Jasse, Jonas, Bolger, Ian, Calle, Sergio, Pavuluri, Swathi, Crews, Tanner, Seshan, Surya, Salvatore, Steven, Stillman, Isaac, Muthukumar, Thangamani, Taouli, Bachir, Farouk, Samira, Bane, Octavia, Lewis, Sara
Natura: Preprint
Pubblicazione: 2025
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author Liu, Mira M.
Dyke, Jonathan
Gladytz, Thomas
Jasse, Jonas
Bolger, Ian
Calle, Sergio
Pavuluri, Swathi
Crews, Tanner
Seshan, Surya
Salvatore, Steven
Stillman, Isaac
Muthukumar, Thangamani
Taouli, Bachir
Farouk, Samira
Bane, Octavia
Lewis, Sara
author_facet Liu, Mira M.
Dyke, Jonathan
Gladytz, Thomas
Jasse, Jonas
Bolger, Ian
Calle, Sergio
Pavuluri, Swathi
Crews, Tanner
Seshan, Surya
Salvatore, Steven
Stillman, Isaac
Muthukumar, Thangamani
Taouli, Bachir
Farouk, Samira
Bane, Octavia
Lewis, Sara
contents Kidney allograft fibrosis is a marker of chronic kidney disease (CKD) and predicts functional decline, and eventual allograft failure. This study evaluates if spectral diffusion MRI can help detect early development and mild/moderate fibrosis in kidney allografts. In a prospective two-center study of kidney allografts, interstitial fibrosis and tubular atrophy (IFTA) was scored and eGFR was calculated from serum creatinine. Multi-b-value DWI (bvalues=[0,10,30,50,80,120,200,400,800mm2/s]) was post-processed with spectral diffusion, intravoxel incoherent motion (IVIM), and apparent diffusion coefficient (ADC). Connection between imaging parameters and biological processes was measured by Mann-Whitney U-test and Spearman's rank; diagnostic ability was measured by five-fold cross-validation univariate and multi-variate logistic regression. Quality control analyses included volunteer MRI (n=4) and inter-observer analysis (n=19). 99 patients were included (50$\pm$13yo, 64M/35F, 39 IFTA=0, 22 IFTA=2, 20 IFTA=4, 18 IFTA=6, 46 eGFR<=45mL/min/1.73m2, mean eGFR=47.5$\pm$21.3mL/min/1.73m2). Spectral diffusion detected fibrosis (IFTA>0) in patients with normal/stable eGFR>45ml/min/1.73m2 [AUC(95$\%$CI)=0.72(0.56,0.87),p=0.007]. Spectral diffusion detected mild/moderate fibrosis (IFTA=2-4) [AUC(95$\%$CI)=0.65(0.52,0.71),p=0.023], as did ADC [AUC(95$\%$CI)=0.71(0.54,0.87),p=0.013)]. eGFR, time-from-transplant, and allograft size could not. Interobserver correlation was >0.50 in 24 out of 40 diffusion parameters. Spectral diffusion MRI showed detection of mild/moderate fibrosis and fibrosis before decline in function. It is a promising method to detect early development of fibrosis and CKD before progression.
format Preprint
id arxiv_https___arxiv_org_abs_2508_06644
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Detecting Early Kidney Allograft Fibrosis with Multi-b-value Spectral Diffusion MRI
Liu, Mira M.
Dyke, Jonathan
Gladytz, Thomas
Jasse, Jonas
Bolger, Ian
Calle, Sergio
Pavuluri, Swathi
Crews, Tanner
Seshan, Surya
Salvatore, Steven
Stillman, Isaac
Muthukumar, Thangamani
Taouli, Bachir
Farouk, Samira
Bane, Octavia
Lewis, Sara
Medical Physics
Image and Video Processing
Kidney allograft fibrosis is a marker of chronic kidney disease (CKD) and predicts functional decline, and eventual allograft failure. This study evaluates if spectral diffusion MRI can help detect early development and mild/moderate fibrosis in kidney allografts. In a prospective two-center study of kidney allografts, interstitial fibrosis and tubular atrophy (IFTA) was scored and eGFR was calculated from serum creatinine. Multi-b-value DWI (bvalues=[0,10,30,50,80,120,200,400,800mm2/s]) was post-processed with spectral diffusion, intravoxel incoherent motion (IVIM), and apparent diffusion coefficient (ADC). Connection between imaging parameters and biological processes was measured by Mann-Whitney U-test and Spearman's rank; diagnostic ability was measured by five-fold cross-validation univariate and multi-variate logistic regression. Quality control analyses included volunteer MRI (n=4) and inter-observer analysis (n=19). 99 patients were included (50$\pm$13yo, 64M/35F, 39 IFTA=0, 22 IFTA=2, 20 IFTA=4, 18 IFTA=6, 46 eGFR<=45mL/min/1.73m2, mean eGFR=47.5$\pm$21.3mL/min/1.73m2). Spectral diffusion detected fibrosis (IFTA>0) in patients with normal/stable eGFR>45ml/min/1.73m2 [AUC(95$\%$CI)=0.72(0.56,0.87),p=0.007]. Spectral diffusion detected mild/moderate fibrosis (IFTA=2-4) [AUC(95$\%$CI)=0.65(0.52,0.71),p=0.023], as did ADC [AUC(95$\%$CI)=0.71(0.54,0.87),p=0.013)]. eGFR, time-from-transplant, and allograft size could not. Interobserver correlation was >0.50 in 24 out of 40 diffusion parameters. Spectral diffusion MRI showed detection of mild/moderate fibrosis and fibrosis before decline in function. It is a promising method to detect early development of fibrosis and CKD before progression.
title Detecting Early Kidney Allograft Fibrosis with Multi-b-value Spectral Diffusion MRI
topic Medical Physics
Image and Video Processing
url https://arxiv.org/abs/2508.06644