ArticleBMC nephrology2024
Native T1-mapping as a predictor of progressive renal function decline in chronic kidney disease patients.
Article in BMC nephrology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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Who cites it
17 citing papers in PubMed, 9 citations in OpenAlex.
- Prospective Study of Multiparametric Renal MRI for CKD Progression (AFiRM).Kidney international reports · 2026Article
- ASL, DTI, and T1 mapping in identifying immune and non-immune pathogenic factors of chronic allograft injury.Quantitative imaging in medicine and surgery · 2026Article
- Integrating kidney imaging for risk prediction, therapeutic monitoring, and prognostication across the kidney disease spectrum: a review of emerging evidence.Clinical kidney journal · 2026Review
- Abdominal TMagma (New York, N.Y.) · 2026Article
- Multiparametric MR Imaging for Evaluating Renal Function and Microstructure.Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine · 2026Review
- Machine Learning with Multiparametric MRI and Clinical Biomarkers for Noninvasive Renal Interstitial Fibrosis Staging.Bioengineering (Basel, Switzerland) · 2026Article
- Transition from acute kidney injury to chronic kidney disease: molecular mechanisms and therapeutic interventions.Molecular biomedicine · 2026Review
- Multiparametric MRI for Predicting Renal Function Deterioration and Chronic Kidney Disease Development in Patients Undergoing Nephrectomy for Renal Masses: A Pilot Study.Journal of magnetic resonance imaging : JMRI · 2026Article
- Assessing kidney fibrosis via multiparametric MRI in native kidney and allografts.Clinical kidney journal · 2026Article
- Quantitative assessment of renal function and perfusion changes in membranous nephropathy using multiparametric magnetic resonance imaging.Insights into imaging · 2026Article
- Multi-Parameter Magnetic Resonance Spectroscopy in Cervix.NMR in biomedicine · 2026Article
- The Possibilities of Multiparametric Magnetic Resonance Imaging to Reflect Functional and Structural Graft Changes 1 Year After Kidney Transplantation.Medicina (Kaunas, Lithuania) · 2025Article
- Evaluation of multiparametric MRI and clinical indicators for renal fibrosis in chronic kidney disease.Quantitative imaging in medicine and surgery · 2025Article
- T1 mapping magnetic resonance imaging predicts decline of kidney function.Clinical kidney journal · 2025Article
- TTransplant international : official journal of the European Society for Organ Transplantation · 2025Article
- Multiparametric MRI: can we assess renal function differently?Clinical kidney journal · 2025Review
- Article
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Authors and funding
10 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundTo investigate the potential of Native T1-mapping in predicting the prognosis of patients with chronic kidney disease (CKD).
methodsWe enrolled 119 CKD patients as the study subjects and included 20 healthy volunteers as the control group, with follow-up extending until October 2022. Out of these patients, 63 underwent kidney biopsy measurements, and these patients were categorized into high (25-50%), low (< 25%), and no renal interstitial fibrosis (IF) (0%) groups. The study's endpoint event was the initiation of renal replacement therapy, kidney transplantation, or an increase of over 30% in serum creatinine levels. Cox regression analysis determined factors influencing unfavorable kidney outcomes. We employed Kaplan-Meier analysis to contrast kidney survival rates between the high and low T1 groups. Additionally, receiver-operating characteristic (ROC) curve analysis assessed the predictive accuracy of Native T1-mapping for kidney endpoint events.
resultsT1 values across varying fibrosis degree groups showed statistical significance (F = 4.772, P < 0.05). Multivariate Cox regression pinpointed 24-h urine protein, cystatin C(CysC), hemoglobin(Hb), and T1 as factors tied to the emergence of kidney endpoint events. Kaplan-Meier survival analysis revealed a markedly higher likelihood of kidney endpoint events in the high T1 group compared to the low T1 value group (P < 0.001). The ROC curves for variables (CysC, T1, Hb) tied to kidney endpoint events demonstrated area under the curves(AUCs) of 0.83 (95%CI: 0.75-0.91) for CysC, 0.77 (95%CI: 0.68-0.86) for T1, and 0.73 (95%CI: 0.63-0.83) for Hb. Combining these variables elevated the AUC to 0.88 (95%CI: 0.81-0.94).
conclusionNative T1-mapping holds promise in facilitating more precise and earlier detection of CKD patients most at risk for end-stage renal disease.
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