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Kidney Functional Magnetic Resonance Imaging and Change in eGFR in Individuals with CKD
Anand Srivastava1, Xuan Cai1, Jungwha Lee1
1Division of Nephrology and Hypertension, Center for Translational Metabolism and Health, Institute for Public Health and Medicine, Northwestern University Feinberg School of Medicine, Chicago, Illinois.
Kidney functional MRI shows apparent diffusion coefficient (ADC) is linked to estimated glomerular filtration rate (eGFR) decline. However, this association is not independent of albuminuria, suggesting other factors are crucial for predicting CKD progression.
Area of Science:
- Nephrology
- Radiology
- Biomarkers
Background:
- Chronic kidney disease (CKD) progression requires better noninvasive identification methods.
- Functional kidney MRI is an emerging tool for assessing kidney health.
Purpose of the Study:
- To investigate if baseline kidney functional MRI biomarkers predict estimated glomerular filtration rate (eGFR) decline in CKD patients.
- To assess the stability of these biomarkers over time.
Main Methods:
- 122 participants with eGFR 20-45 ml/min/1.73 m² underwent baseline diffusion-weighted (ADC) and blood oxygen level-dependent (R2*) MRI.
- Associations between baseline MRI biomarkers and annual eGFR change were analyzed.
- MRI biomarkers were reassessed after 12 months in a subset of 87 participants.
Main Results:
- Baseline apparent diffusion coefficient (ADC) was associated with annual eGFR change (P=0.04).
- This association lost significance after adjusting for albuminuria (P=0.08).
- No significant association was found between baseline R2* and eGFR change. ADC and R2* remained stable over 12 months.
Conclusions:
- Baseline cortical ADC shows a potential link to eGFR change in CKD, but it is confounded by albuminuria.
- Kidney functional MRI biomarkers (ADC, R2*) are stable over one year.
- Further research is needed to refine functional MRI for predicting CKD progression.
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