Quantification of renal steatosis in type II diabetes mellitus using dixon-based MRI

Takeshi Yokoo, Haley R. Clark, Ivan Pedrosa, Qing Yuan, Ivan Dimitrov, Yue Zhang, Ildiko Lingvay, Muhammad S. Beg, I. Alexandru Bobulescu

Research output: Contribution to journalArticle

9 Citations (Scopus)

Abstract

Purpose: To evaluate renal lipid content in subjects with and without type II diabetes mellitus (DM2) using Dixon-based magnetic resonance imaging (MRI). Materials and Methods: This retrospective study was approved by the Institutional Review Board and compliant with the Health Insurance Portability and Accountability Act. Sixty-nine adults with or without DM2 (n = 29, n = 40) underwent 3T MRI of the abdomen using 3D multiecho Dixon gradient-echo acquisition and proton-density fat fraction (FF) reconstruction. FF values were recorded within segmented regions of interest in the kidneys and liver. The FF measurement error was estimated from the within-subject difference between the right and left kidneys using Bland-Altman analysis. Correlation between renal FF, hepatic FF, and body mass index (BMI) was evaluated. The association between renal FF and DM2 was evaluated by Wilcoxon rank sum test as well as by multivariate regression to correct for potential confounding effects of age, sex, BMI, creatinine, and hepatic FF. P <0.05 was considered statistically significant. Results: Per-subject 95% limits of agreement of the renal FF measurement were [-3.26%, +3.22%]. BMI was significantly correlated with renal FF (r = 0.266, P = 0.027) and with liver FF (r = 0.344, P = 0.006). Correlation between renal and hepatic FF did not reach statistical significance (r = 0.215, P = 0.090). Median renal FF (±interquartile range) was 2.18% (±2.52%) in the DM2 cohort, significantly higher than 0.80% (±2.63%) in the non-DM2 cohort (P <0.001). After correcting for potential confounders, the relationship between DM2 and renal FF remained statistically significant (P = 0.005). Conclusion: Renal lipid content can be measured noninvasively using Dixon-based MRI and may be increased in subjects with DM2 compared to those without DM2.

Original languageEnglish (US)
JournalJournal of Magnetic Resonance Imaging
DOIs
StateAccepted/In press - 2016

Fingerprint

Type 2 Diabetes Mellitus
Fats
Magnetic Resonance Imaging
Kidney
Liver
Body Mass Index
Nonparametric Statistics
Lipids
Research Ethics Committees
Social Responsibility
Health Insurance
Abdomen
Protons
Creatinine
Retrospective Studies

Keywords

  • Chronic kidney disease
  • Diabetes
  • Dixon technique
  • Obesity
  • Proton-density fat fraction
  • Renal steatosis

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Cite this

Quantification of renal steatosis in type II diabetes mellitus using dixon-based MRI. / Yokoo, Takeshi; Clark, Haley R.; Pedrosa, Ivan; Yuan, Qing; Dimitrov, Ivan; Zhang, Yue; Lingvay, Ildiko; Beg, Muhammad S.; Bobulescu, I. Alexandru.

In: Journal of Magnetic Resonance Imaging, 2016.

Research output: Contribution to journalArticle

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title = "Quantification of renal steatosis in type II diabetes mellitus using dixon-based MRI",
abstract = "Purpose: To evaluate renal lipid content in subjects with and without type II diabetes mellitus (DM2) using Dixon-based magnetic resonance imaging (MRI). Materials and Methods: This retrospective study was approved by the Institutional Review Board and compliant with the Health Insurance Portability and Accountability Act. Sixty-nine adults with or without DM2 (n = 29, n = 40) underwent 3T MRI of the abdomen using 3D multiecho Dixon gradient-echo acquisition and proton-density fat fraction (FF) reconstruction. FF values were recorded within segmented regions of interest in the kidneys and liver. The FF measurement error was estimated from the within-subject difference between the right and left kidneys using Bland-Altman analysis. Correlation between renal FF, hepatic FF, and body mass index (BMI) was evaluated. The association between renal FF and DM2 was evaluated by Wilcoxon rank sum test as well as by multivariate regression to correct for potential confounding effects of age, sex, BMI, creatinine, and hepatic FF. P <0.05 was considered statistically significant. Results: Per-subject 95{\%} limits of agreement of the renal FF measurement were [-3.26{\%}, +3.22{\%}]. BMI was significantly correlated with renal FF (r = 0.266, P = 0.027) and with liver FF (r = 0.344, P = 0.006). Correlation between renal and hepatic FF did not reach statistical significance (r = 0.215, P = 0.090). Median renal FF (±interquartile range) was 2.18{\%} (±2.52{\%}) in the DM2 cohort, significantly higher than 0.80{\%} (±2.63{\%}) in the non-DM2 cohort (P <0.001). After correcting for potential confounders, the relationship between DM2 and renal FF remained statistically significant (P = 0.005). Conclusion: Renal lipid content can be measured noninvasively using Dixon-based MRI and may be increased in subjects with DM2 compared to those without DM2.",
keywords = "Chronic kidney disease, Diabetes, Dixon technique, Obesity, Proton-density fat fraction, Renal steatosis",
author = "Takeshi Yokoo and Clark, {Haley R.} and Ivan Pedrosa and Qing Yuan and Ivan Dimitrov and Yue Zhang and Ildiko Lingvay and Beg, {Muhammad S.} and Bobulescu, {I. Alexandru}",
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T1 - Quantification of renal steatosis in type II diabetes mellitus using dixon-based MRI

AU - Yokoo, Takeshi

AU - Clark, Haley R.

AU - Pedrosa, Ivan

AU - Yuan, Qing

AU - Dimitrov, Ivan

AU - Zhang, Yue

AU - Lingvay, Ildiko

AU - Beg, Muhammad S.

AU - Bobulescu, I. Alexandru

PY - 2016

Y1 - 2016

N2 - Purpose: To evaluate renal lipid content in subjects with and without type II diabetes mellitus (DM2) using Dixon-based magnetic resonance imaging (MRI). Materials and Methods: This retrospective study was approved by the Institutional Review Board and compliant with the Health Insurance Portability and Accountability Act. Sixty-nine adults with or without DM2 (n = 29, n = 40) underwent 3T MRI of the abdomen using 3D multiecho Dixon gradient-echo acquisition and proton-density fat fraction (FF) reconstruction. FF values were recorded within segmented regions of interest in the kidneys and liver. The FF measurement error was estimated from the within-subject difference between the right and left kidneys using Bland-Altman analysis. Correlation between renal FF, hepatic FF, and body mass index (BMI) was evaluated. The association between renal FF and DM2 was evaluated by Wilcoxon rank sum test as well as by multivariate regression to correct for potential confounding effects of age, sex, BMI, creatinine, and hepatic FF. P <0.05 was considered statistically significant. Results: Per-subject 95% limits of agreement of the renal FF measurement were [-3.26%, +3.22%]. BMI was significantly correlated with renal FF (r = 0.266, P = 0.027) and with liver FF (r = 0.344, P = 0.006). Correlation between renal and hepatic FF did not reach statistical significance (r = 0.215, P = 0.090). Median renal FF (±interquartile range) was 2.18% (±2.52%) in the DM2 cohort, significantly higher than 0.80% (±2.63%) in the non-DM2 cohort (P <0.001). After correcting for potential confounders, the relationship between DM2 and renal FF remained statistically significant (P = 0.005). Conclusion: Renal lipid content can be measured noninvasively using Dixon-based MRI and may be increased in subjects with DM2 compared to those without DM2.

AB - Purpose: To evaluate renal lipid content in subjects with and without type II diabetes mellitus (DM2) using Dixon-based magnetic resonance imaging (MRI). Materials and Methods: This retrospective study was approved by the Institutional Review Board and compliant with the Health Insurance Portability and Accountability Act. Sixty-nine adults with or without DM2 (n = 29, n = 40) underwent 3T MRI of the abdomen using 3D multiecho Dixon gradient-echo acquisition and proton-density fat fraction (FF) reconstruction. FF values were recorded within segmented regions of interest in the kidneys and liver. The FF measurement error was estimated from the within-subject difference between the right and left kidneys using Bland-Altman analysis. Correlation between renal FF, hepatic FF, and body mass index (BMI) was evaluated. The association between renal FF and DM2 was evaluated by Wilcoxon rank sum test as well as by multivariate regression to correct for potential confounding effects of age, sex, BMI, creatinine, and hepatic FF. P <0.05 was considered statistically significant. Results: Per-subject 95% limits of agreement of the renal FF measurement were [-3.26%, +3.22%]. BMI was significantly correlated with renal FF (r = 0.266, P = 0.027) and with liver FF (r = 0.344, P = 0.006). Correlation between renal and hepatic FF did not reach statistical significance (r = 0.215, P = 0.090). Median renal FF (±interquartile range) was 2.18% (±2.52%) in the DM2 cohort, significantly higher than 0.80% (±2.63%) in the non-DM2 cohort (P <0.001). After correcting for potential confounders, the relationship between DM2 and renal FF remained statistically significant (P = 0.005). Conclusion: Renal lipid content can be measured noninvasively using Dixon-based MRI and may be increased in subjects with DM2 compared to those without DM2.

KW - Chronic kidney disease

KW - Diabetes

KW - Dixon technique

KW - Obesity

KW - Proton-density fat fraction

KW - Renal steatosis

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