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Streamlined calculation of kidney function using dynamic contrast-enhanced MRI with population-based arterial input
Xin Mu1,2, Mira M Liu1,2, Haitham Al-Mubarak1,2
1BioMedical Engineering and Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
This study introduces a simplified method for assessing kidney function using dynamic contrast-enhanced MRI (DCE-MRI) with a population-based arterial input function (pAIF) and whole-kidney pharmacokinetic model (WKPM). This approach provides robust and clinically feasible estimates of eGFR and RPF, improving upon complex traditional methods.
Area of Science:
- Nephrology
- Radiology
- Medical Imaging
Background:
- Dynamic contrast-enhanced (DCE) magnetic resonance imaging (MRI) is valuable for assessing kidney function.
- Traditional DCE-MRI methods suffer from artifacts and complex post-processing, limiting clinical utility.
- Accurate estimation of glomerular filtration rate (eGFR) and renal plasma flow (RPF) is crucial for kidney health assessment.
Purpose of the Study:
- To develop and validate a simplified DCE-MRI post-processing method for estimating kidney function.
- To combine a population-based arterial input function (pAIF) with a whole-kidney pharmacokinetic model (WKPM).
- To compare DCE-MRI derived eGFR and RPF with established clinical measures (serum eGFR and ASL-derived RPF).
Main Methods:
- Prospective single-center study involving 43 patients undergoing multiparametric 1.5-T MRI.
- DCE-MRI with high temporal resolution and background-suppressed pseudocontinuous arterial spin labeling (ASL) were acquired.
- Whole-kidney pharmacokinetic modeling (WKPM) was used with both individual-based (iAIF) and population-based (pAIF) arterial input functions.
- Statistical analyses included Pearson correlation and Bland-Altman analysis to compare methods.
Main Results:
- DCE-MRI eGFR derived using pAIF showed stronger correlation (r=0.61) with serum eGFR than iAIF (r=0.33).
- DCE-MRI RPF derived using pAIF demonstrated a stronger correlation (r=0.65) with ASL-derived RPF compared to iAIF (r=0.53).
- The pAIF method exhibited lower Bland-Altman bias for both eGFR and RPF compared to the iAIF method.
Conclusions:
- DCE-MRI combined with pAIF and WKPM offers a simplified and robust approach for estimating single-kidney function.
- This streamlined method minimizes artifacts and complex segmentation, enhancing clinical feasibility.
- The findings support broader adoption of renal DCE-MRI in routine clinical practice for improved kidney function assessment.
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