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Measuring Fatty Liver With Ultrasound and MRS in Children With Overweight or Obesity

Conditions
Non-Alcoholic Fatty Liver Disease
Interventions
Other: Magnetic resonance spectroscopy measurement
Registration Number
NCT03787108
Lead Sponsor
Maastricht University Medical Center
Brief Summary

Obesity is associated with a variety of comorbidities, amongst which non-alcoholic fatty liver disease (NAFLD). A recent meta-analysis has shown that the prevalence of NAFLD in obese pediatric populations is around 35%, compared to approximately 8% in general pediatric populations, making it a very important health threat in these populations. The golden standard for diagnosis of NAFLD is liver biopsy. However, since liver biopsy is associated with a certain risk of morbidity and mortality, this method is inappropriate for screening large populations at-risk for developing NAFLD. Magnetic resonance spectroscopy has demonstrated excellent correlation with liver biopsy and the is the most accuratete non-invasive method to measure liver fat content in children. However, MRS is expensive and not available in all centres. A novel ultrasonographic measurement to quantitatively assess liver steatosis is the hepatorenal index (HRI). Previous studies have shown high sensitivity and specificity of the HRI, as compared to MRS and liver biopsy. However, this measurement has never been validated in children. In this study, the HRI will be compared to MRS in children with obesity, to validate the HRI and to determine cut-off points.

Detailed Description

Rationale: Obesity is associated with a variety of co-morbidities. Children with obesity are more likely to have risk factors associated with cardiovascular disease (eg, hypertension, high cholesterol, and type 2 diabetes mellitus), but also non-alcoholic fatty liver disease (NAFLD). A recent meta-analysis has shown that the prevalence of NAFLD in obese pediatric populations is approximately 35%, compared to approximately 8% in general pediatric populations \[6\], making it a very important health threat in these populations. The golden standard for the diagnosis of NAFLD is liver biopsy. However, since liver biopsy is associated with a certain risk of morbidity and mortality, this method is inappropriate for screening large populations at-risk for developing NAFLD. Magnetic resonance spectroscopy has demonstrated excellent correlation with liver biopsy and the most accurate non-invasive method to measure liver fat content in children. However, MRS is an expensive method that is not available in all centers. A novel ultrasonographic measurement to quantitatively assess liver steatosis is the hepatorenal index (HRI), which is calculated as the ratio of hepatic and renal ultrasonographic brightness. Previous studies in adults have shown a high sensitivity and specificity of the HRI, as compared to liver biopsy as well as H-MRS. However, the measurement of the HRI has never been validated in children. The validation of this simple, non-invasive method to quantitatively assess fat accumulation in the liver, could improve the screening for, and follow-up of, NAFLD in at-risk populations.

Objective: The aim of this study is to validate the ultrasonographic hepatorenal index in children with overweight, obesity and morbid obesity, by using MRS, and to determine cut-off points for the HRI according to liver fat percentages measured with MRS.

Study design: cross-sectional study

Study population: Overweight and obese children from the Centre for Overweight Adolescent and Childrens Healthcare (COACH) program.

Main study parameters/endpoints: Ultrasonographic hepato-renal index and liver fat percentage as determined by magnetic resonance spectroscopy.

Secondary study parameters/endpoints: correlate liver fat percentage as measured with MRS, and HRI, with anthropometric, metabolic and cardiovascular parameters.

Recruitment & Eligibility

Status
UNKNOWN
Sex
All
Target Recruitment
53
Inclusion Criteria
  • Participation in the COACH program
  • Aged below 18 years
Exclusion Criteria
  • · Implanted medical devices such as pacemakers or neurostimulators

    • Metal objects in the body (for instances prosthetics, piercings, metal parts in the eye, permanent eyeliner)
    • Previous brain surgery
    • Cardiac arrhythmia
    • Epilepsy
    • Claustrofobia
    • Not wanting to be informed about accidental findings on MRS

Study & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Arm && Interventions
GroupInterventionDescription
Children with suspected NAFLDMagnetic resonance spectroscopy measurementChildren with overweight or obesity. Both children that are and children that are not suspected of having NAFLD (based on ultrasound and laboratory findings) are included.
Primary Outcome Measures
NameTimeMethod
Ultrasonographic hepato-renal indexUntil december 2019

Ratio of hepatic and renal echogenicity

Liver fat percentageUntil december 2019

Liver fat percentage will be measured withmagnetic resonance spectroscopy.

Secondary Outcome Measures
NameTimeMethod
Liver enzyme levelsUntil december 2019

Secondary outcomes will be correlated with liver fat percentage as measured with MRS and with the ultrasonographic hepato-renal index

Lipid spectrumUntil december 2019

Secondary outcomes will be correlated with liver fat percentage as measured with MRS and with the ultrasonographic hepato-renal index

Fibrosan valuesUntil december 2019

Secondary outcomes will be correlated with liver fat percentage as measured with MRS and with the ultrasonographic hepato-renal index

BMI z-scoreUntil december 2019

Secondary outcomes will be correlated with liver fat percentage as measured with MRS and with the ultrasonographic hepato-renal index

Glucose metabolismUntil december 2019

Secondary outcomes will be correlated with liver fat percentage as measured with MRS and with the ultrasonographic hepato-renal index

Blood pressureUntil december 2019

Secondary outcomes will be correlated with liver fat percentage as measured with MRS and with the ultrasonographic hepato-renal index

Trial Locations

Locations (1)

Maastricht University Medical Center

🇳🇱

Maastricht, Limburg, Netherlands

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