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Assessment of renal function using magnetic resonance quantitative histogram analysis based on spatial labeling with
Ping Liang1, Shichao Li1, Chuou Xu1
1Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Annals of Translational Medicine
|December 20, 2021
Summary
Magnetic resonance quantitative histogram analysis using spatial labeling with multiple inversion pulses (SLEEK) can assess early-stage chronic kidney disease (CKD). Cortex histogram parameters are more valuable for evaluating renal function than medulla parameters.
Area of Science:
- Radiology
- Nephrology
- Medical Imaging Analysis
Background:
- Chronic kidney disease (CKD) has a high incidence and can progress to end-stage renal disease (ESRD).
- Early detection and assessment of renal function are crucial for managing CKD.
- Magnetic resonance imaging (MRI) offers potential for non-invasive renal assessment.
Purpose of the Study:
- To explore the clinical value of quantitative histogram analysis based on spatial labeling with multiple inversion pulses (SLEEK) MRI in assessing early-stage renal function.
- To compare the effectiveness of cortex and medulla histogram parameters in evaluating renal dysfunction.
Main Methods:
- 129 patients underwent abdominal MRI with a coronal SLEEK sequence.
- Patients were categorized into control, mild renal impairment (mRI), and moderate-to-severe renal impairment (m-sRI) groups based on estimated glomerular filtration rate (eGFR).
- Quantitative histogram parameters (Mean, Median, Percentiles, Skewness, Kurtosis, Entropy) were extracted from cortex and medulla regions of interest (ROIs) using FireVoxel and analyzed statistically.
Main Results:
- Four histogram parameters differed significantly between control and mRI groups (Inhomogeneitycortex, Skewnesscortex, Kurtosismedulla, Entropymedulla).
- Nine cortex and one medulla histogram parameter showed significant differences between mRI and m-sRI groups.
- Inhomogeneitycortex was most relevant to eGFR (r=-0.450, P<0.001), with the largest AUC for differentiating mRI from control (0.718). 25th Percentilecortex had the largest AUC for differentiating mRI from m-sRI (0.786).
Conclusions:
- Quantitative histogram parameters derived from SLEEK MRI sequences can supplement renal dysfunction assessment.
- Cortex histogram parameters demonstrate greater value in evaluating renal function compared to medulla parameters.
- SLEEK-based histogram analysis shows promise for early detection and monitoring of CKD.
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