Renal fat fraction and diffusion tensor imaging in patients with early-stage diabetic nephropathy

Wang, Yuancheng; Feng, Yinglian; Lu, Chun-Qiang; Ju, Shenghong

doi:10.1007/s00330-017-5298-6

Cited by 43 publications

(35 citation statements)

References 40 publications

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“…We used this modified technique to detect and compare the renal lipid level in diabetics. Using FF (fat fraction) maps produced by Dixon parameters, we found a significant increase in renal lipid in diabetics with microalbuminuria compared with healthy volunteers and earlier diabetics without microalbuminuria (Fig. ).…”

Section: Renal Fmrimentioning

confidence: 87%

Renal Functional MRI and Its Application

Zhou

Wang

Zeng

et al. 2018

Magnetic Resonance Imaging

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Section: Renal Fmrimentioning

confidence: 87%

Renal Functional MRI and Its Application

Zhou

Wang

Zeng

et al. 2018

Magnetic Resonance Imaging

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“…Additionally, it has been shown that not only renal sinus fat, but also an increase in intrarenal lipids could be detected in diabetes [40] and obesity associated nephropathy [41]. There is emerging evidence that these ectopic lipid-accumulation causes structural and functional changes of mesangial cells, podocytes, and proximal tubular cells and is associated with renal hypoxia [42].…”

Section: Discussionmentioning

confidence: 99%

“…The exploited two-point-Dixon-VIBE-sequence would principally allow for such intrarenal lipid quantification, however these results are only consistent, if fat content is above ten percent due to reduced noise effects, so that variation bias was too high (data not shown). More precise multi-echo-Dixon-VIBE-sequences such as used in other studies studying intrarenal lipids [40] were acquired in this study cohort, but were centered on the liver, so that the kidneys were only partially covered. Alternatively, magnetic resonance spectroscopy may be a reliable tool to study intrarenal lipids [43].…”

Section: Discussionmentioning

confidence: 99%

Renal and renal sinus fat volumes as quantified by magnetic resonance imaging in subjects with prediabetes, diabetes, and normal glucose tolerance

Notohamiprodjo

Goepfert

Will³

et al. 2020

PLoS ONE

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We hypothesize that MRI-based renal compartment volumes, particularly renal sinus fat as locally and potentially independently acting perivascular fat tissue, increase with glucose intolerance. We therefore analyze the distribution of renal volumes in individuals with normal glucose levels and prediabetic and diabetic individuals and investigate potential associations with other typical cardiometabolic biomarkers. Material and methods The sample comprised N = 366 participants who were either normoglycemic (N = 230), had prediabetes (N = 87) or diabetes (N = 49), as determined by Oral Glucose Tolerance Test. Other covariates were obtained by standardized measurements and interviews. Wholebody MR measurements were performed on a 3 Tesla scanner. For assessment of the kidneys, a coronal T1w dual-echo Dixon and a coronal T2w single shot fast spin echo sequence were employed. Stepwise semi-automated segmentation of the kidneys on the Dixon-sequences was based on thresholding and geometric assumptions generating volumes for the kidneys and sinus fat. Inter-and intra-reader variability were determined on a subset of 40 subjects. Associations between glycemic status and renal volumes were evaluated by linear regression models, adjusted for other potential confounding variables. Furthermore, the association of renal volumes with visceral adipose tissue was assessed by linear regression models and Pearson's correlation coefficient.

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“…Currently, although MAU is considered to be a standard biomarker of DN, it has limited sensitivity and clinical reproducibility. The study by Lu et al[5] indicated that diabetic patients without decreases in eGFR had significantly lowered renal FA than healthy controls, and the study by Wang et al[22] showed that diabetic patients with MAU had the lowest FA compared to diabetic patients with NAU and healthy controls. This study showed a significant reduction of cortical FA and a decreasing tendency of medullary FA in patients with type 2 diabetes with NAU compared to healthy controls, raising the possibility that DTI parameters might serve as a more sensitive biomarker for DN than MAU.…”

Section: Discussionmentioning

confidence: 99%

In vivo evaluation of early renal damage in type 2 diabetic patients on 3.0 T MR diffusion tensor imaging

Wang

Xiong

et al. 2018

WJR

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AIMTo investigate the utility of renal diffusion tensor imaging (DTI) to detect early renal damage in patients with type 2 diabetes.METHODSTwenty-six diabetic patients (12 with microalbuminuria (MAU), and 14 with normoalbuminuria) and fourteen healthy volunteers were prospectively included in this study. Renal DTI on 3.0 T MR was performed, and estimated glomerular filtration rate (eGFR) was recorded for each subject. Mean cortical and medullary fractional anisotropy (FA) values were calculated by placing multiple representative regions of interest. Mean FA values were statistically compared among groups. Correlations between FA values and eGFR were evaluated.RESULTSBoth cortical and medullary FA were significantly reduced in diabetic patients compared to healthy controls (0.403 ± 0.064 vs 0.463 ± 0.047, P = 0.004, and 0.556 ± 0.084 vs 0.645 ± 0.076, P = 0.002, respectively). Cortical FA was significantly lower in diabetic patients with NAU than healthy controls (0.412 ± 0.068 vs 0.463 ± 0.047, P = 0.02). Medullary FA in diabetic patients with NAU and healthy controls were similar (0.582 ± 0.096 vs 0.645 ± 0.076, P = 0.06). Both cortical FA and medullary FA correlated with eGFR (r = 0.382, P = 0.015 and r = 0.552, P = 0.000, respectively).CONCLUSIONFA of renal parenchyma on DTI might serve as a more sensitive biomarker of early diabetic nephropathy than MAU.

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Renal fat fraction and diffusion tensor imaging in patients with early-stage diabetic nephropathy

Abstract: • Dixon imaging demonstrated renal fat deposition in early-stage DN; • Renal fractional anisotropy decreased in patients with early-stage DN; • Renal tractography demonstrated reduced track counts and length in early-stage DN.

Cited by 43 publications

References 40 publications

Renal Functional MRI and Its Application

Renal Functional MRI and Its Application

Renal and renal sinus fat volumes as quantified by magnetic resonance imaging in subjects with prediabetes, diabetes, and normal glucose tolerance

In vivo evaluation of early renal damage in type 2 diabetic patients on 3.0 T MR diffusion tensor imaging

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