Technical evaluation of in vivo abdominal fat and IMCL quantification using MRI and MRSI at 3 T.

Xiaojuan Li, Jack F Youngren, Ben Hyun, Giorgos K Sakkas, Kathleen Mulligan, Sharmila Majumdar, Umesh B Masharani, Morris Schambelan, Ira D Goldfine
Author Information
  1. Xiaojuan Li: Musculoskeletal Quantitative Imaging Research, Department of Radiology, University of California, San Francisco, CA 94107, USA. xiaojuan.li@radiology.ucsf.edu

Abstract

OBJECTIVES: The objectives of this study were to develop protocols that measure abdominal fat and calf muscle lipids with magnetic resonance imaging (MRI) and magnetic resonance spectroscopy (MRS), respectively, at 3 T and to examine the correlation between these parameters and insulin sensitivity.
MATERIALS AND METHODS: Ten nondiabetic subjects [five insulin-sensitive (IS) subjects and five insulin-resistant (IR) subjects] were scanned at 3 T. Visceral adipose tissue (VAT) and subcutaneous adipose tissue (SAT) were segmented semiautomatically from abdominal imaging. Intramyocellular lipids (IMCL) in calf muscles were quantified with single-voxel MRS in both soleus and tibialis anterior muscles and with magnetic resonance spectroscopic imaging (MRSI).
RESULTS: The average coefficient of variation (CV) of VAT/(VAT+SAT) was 5.2%. The interoperator CV was 1.1% and 5.3% for SAT and VAT estimates, respectively. The CV of IMCL was 13.7% in soleus, 11.9% in tibialis anterior and 2.9% with MRSI. IMCL based on MRSI (3.8+/-1.2%) were significantly inversely correlated with glucose disposal rate, as measured by a hyperinsulinemic-euglycemic clamp. VAT volume correlated significantly with IMCL. IMCL based on MRSI for IR subjects was significantly greater than that for IS subjects (4.5+/-0.9% vs. 2.8+/-0.5%, P=.02).
CONCLUSION: MRI and MRS techniques provide a robust noninvasive measurement of abdominal fat and muscle IMCL, which are correlated with insulin action in humans.

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Grants

  1. R01 DK54615-05/NIDDK NIH HHS
  2. R21 DK063650/NIDDK NIH HHS
  3. R01 DK063650-02/NIDDK NIH HHS
  4. R01 DK063640-03/NIDDK NIH HHS
  5. R01 DK054615/NIDDK NIH HHS
  6. R01 DK059358/NIDDK NIH HHS
  7. R01 DK059358-04/NIDDK NIH HHS

MeSH Term

Abdominal Fat
Adult
Female
Humans
Image Processing, Computer-Assisted
Insulin Resistance
Leg
Lipids
Magnetic Resonance Imaging
Magnetic Resonance Spectroscopy
Male
Middle Aged
Muscle, Skeletal

Chemicals

Lipids

Word Cloud

Created with Highcharts 10.0.0IMCLMRSIabdominal3subjectsfatmagneticresonanceimagingMRIMRSTVATCV9%significantlycorrelatedcalfmusclelipidsrespectivelyinsulinISIRadiposetissueSATmusclessoleustibialisanterior52%2basedOBJECTIVES:objectivesstudydevelopprotocolsmeasurespectroscopyexaminecorrelationparameterssensitivityMATERIALSANDMETHODS:Tennondiabetic[fiveinsulin-sensitivefiveinsulin-resistantsubjects]scannedVisceralsubcutaneoussegmentedsemiautomaticallyIntramyocellularquantifiedsingle-voxelspectroscopicRESULTS:averagecoefficientvariationVAT/VAT+SATinteroperator11%3%estimates137%118+/-1inverselyglucosedisposalratemeasuredhyperinsulinemic-euglycemicclampvolumegreater45+/-0vs8+/-05%P=02CONCLUSION:techniquesproviderobustnoninvasivemeasurementactionhumansTechnicalevaluationvivoquantificationusing

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