Distribution of estimated glomerular filtration rate (eGFR) values in patients receiving contrast-enhanced magnetic resonance imaging

2011 ◽  
Vol 30 (2) ◽  
pp. 116-119
Author(s):  
Keigo Shimoji ◽  
Shigeki Aoki ◽  
Atsushi Nakanishi ◽  
Michimasa Suzuki ◽  
Masaaki Hori ◽  
...  
2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Tsutomu Inoue ◽  
Eito Kozawa ◽  
Masahiro Ishikawa ◽  
Daichi Fukaya ◽  
Hiroaki Amano ◽  
...  

AbstractMagnetic resonance imaging (MRI) is playing an increasingly important role in evaluating chronic kidney disease (CKD). It has the potential to be used not only for evaluation of physiological and pathological states, but also for prediction of disease course. Although different MRI sequences have been employed in renal disease, there are few studies that have compared the different sequences. We compared several multiparametric MRI sequences, and compared their results with the estimated glomerular filtration rate. Principal component analysis showed a similarity between T1 values and tissue perfusion (arterial spin labelling), and between fractional anisotropy (diffusion tensor imaging) and apparent diffusion coefficient values (diffusion-weighted imaging). In multiple regression analysis, only T2* values, derived from the blood oxygenation level-dependent (BOLD) MRI sequence, were associated with estimated glomerular filtration rate slope after adjusting for degree of proteinuria, a classic prognostic factor for CKD. In receiver operating characteristic curve analysis, T2* values were a good predictor of rapid deterioration, regardless of the degree of proteinuria. This suggests further study of the use of BOLD-derived T2* values in the workup of CKD, especially to predict the disease course.


2021 ◽  
Vol 14 (11) ◽  
Author(s):  
Sandrine Lemoine ◽  
Fabio R. Salerno ◽  
Alireza Akbari ◽  
Robert S. McKelvie ◽  
Christopher W. McIntyre

Background: Preclinical data suggest sodium deposited (without water) in tissues may lead to aberrant remodeling and systemic inflammation, independently of fluid overload in patients with heart failure (HF). Tissue salt storage can be measured noninvasively and quantitatively with 23 Na-magnetic resonance imaging. We aimed to investigate the possibility that patients with HF complicated by renal dysfunction are subject to higher tissue sodium concentration exposure than patients with chronic kidney disease alone. Methods: We conducted an exploratory study including 18 patients with HF, 34 hemodialysis patients (with no meaningful renal clearance of sodium), and 31 patients with chronic kidney disease, with glomerular filtration rate matched to the patients with HF. Every patient underwent 23 Na-magnetic resonance imaging of the calf, to quantify tissue sodium and allow comparison among the 3 patient groups. Results: There were no differences in age, sex, and body mass index between groups. Median (interquartile range) skin sodium content in HF (31 [23–37] mmol/L) was very high and indistinguishable from skin sodium content in hemodialysis patients (30 [22–35] mmol/L), P =0.6. Patients with HF exhibited significantly higher skin sodium content than matched estimated glomerular filtration rate chronic kidney disease patients (22 [19–26] mmol/L), P =0.005. Median muscle sodium content in patients with HF was significantly higher than in patients with chronic kidney disease, P =0.002. There was no relationship with estimated glomerular filtration rate in patients with HF. We report a significant correlation between skin sodium and urinary sodium ( P =0.04) but no correlation with muscle sodium. Patients who were assessed as being volume depleted (sodium excretion fraction <1%) had lower skin sodium content than patients with sodium excretion fraction >1% ( P =0.03). Conclusions: We have demonstrated that patients with HF characteristically have very high levels of skin sodium storage, comparable to well-characterized extreme levels seen in patients with end-stage kidney disease requiring hemodialysis. 23 Na-magnetic resonance imaging may allow precision medicine in the management of this challenging group of patients with HF. Registration: URL: https://www.clinicaltrials.gov ; Unique identifier: NCT03004547.


2008 ◽  
Vol 38 (1) ◽  
pp. 47-55 ◽  
Author(s):  
Nicolas Grenier ◽  
Iosif Mendichovszky ◽  
Baudouin Denis de Senneville ◽  
Sébastien Roujol ◽  
Pascal Desbarats ◽  
...  

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