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Use of Ultra-high Field MRI in Small Rodent Models of Polycystic Kidney Disease for In Vivo Phenotyping and Drug Monitoring
Published on: June 23, 2015
Future of kidney imaging: Functional magnetic resonance imaging and kidney disease progression
Sidar Copur1, Furkan Yavuz1, Alan A Sag2
1Department of Medicine, Koc University School of Medicine, Istanbul, Turkey.
Introduction:
Chronic kidney disease (CKD) which is a common cause of death has an increasing trend, but there is no established approach for predicting CKD progression yet. Functional magnetic resonance imaging (fMRI) studies such as blood oxygenation level-dependent MRI (BOLD-MRI), diffusion-weighted MRI (DWI-MRI), diffusion-tensor MRI (DTI-MRI) and arterial spin labelling MRI (ASL-MRI) are rising methods for the assessment of kidney functions in native and transplanted kidneys as well as the estimation of CKD progression.
Methods:
Systematic literature review was performed through the Embase (Elsevier), Cochrane Central Register of Controlled Trials (Wiley), PubMed/Medline and Web of Science databases, and studies investigating the role of fMRI methods assessing kidney functions in native and transplanted kidneys, as well as the value of fMRI methods to predict CKD progression, were included. Working mechanisms, advantages and limitations of the fMRI modalities were reviewed, and three studies investigating the role of fMRI studies in kidney functions were analysed.
Results And Conclusion:
BOLD-MRI signal was found to be inversely correlated with annual eGFR change, and DWI/ADC (apparent diffusion coefficient map) values were shown to be correlated with annual eGFR decline. fMRI methods which are currently used for other systems can be utilized to provide more detailed information about kidney functions, and doctors should be ready to interpret kidney MRIs.
Insights
Functional magnetic resonance imaging (fMRI) shows promise in predicting chronic kidney disease (CKD) progression. Blood oxygenation level-dependent MRI and diffusion-weighted MRI correlate with estimated glomerular filtration rate changes, aiding CKD management.
Area of Science:
- Nephrology
- Radiology
- Medical Imaging
Background:
- Chronic kidney disease (CKD) is a growing global health concern with increasing mortality.
- Current methods lack established approaches for accurately predicting CKD progression.
- Functional magnetic resonance imaging (fMRI) offers novel techniques for assessing kidney function.
Purpose of the Study:
- To review the role of fMRI techniques in evaluating kidney function in native and transplanted kidneys.
- To assess the potential of fMRI methods in predicting CKD progression.
- To analyze the working mechanisms, advantages, and limitations of various fMRI modalities for renal applications.
Main Methods:
- A systematic literature review was conducted across major databases (Embase, Cochrane, PubMed/Medline, Web of Science).
- Studies focusing on fMRI assessment of kidney function and CKD progression prediction were included.
- Analysis of three studies investigating fMRI's role in kidney function was performed.
Main Results:
- Blood oxygenation level-dependent MRI (BOLD-MRI) signal showed an inverse correlation with annual estimated glomerular filtration rate (eGFR) change.
- Diffusion-weighted MRI (DWI-MRI) apparent diffusion coefficient (ADC) values correlated with annual eGFR decline.
- fMRI modalities demonstrated potential for detailed kidney function assessment.
Conclusions:
- fMRI techniques, including BOLD-MRI and DWI-MRI, can provide valuable insights into CKD progression.
- These advanced MRI methods, currently used in other systems, can be adapted for enhanced renal assessment.
- Clinicians should prepare to interpret kidney MRIs for improved patient management and prediction of CKD outcomes.
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