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Magnetic Resonance Spectroscopy of the Frontal Region in Patients with Metabolic Syndrome: Correlation with Anthropometric Measurement

Overview
Journal Pol J Radiol
Publisher Termedia
Specialty Radiology
Date 2019 Jan 11
PMID 30627238
Citations 11
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Abstract

Purpose: To demonstrate H-MR spectroscopy of the frontal region in patients with metabolic syndrome and to correlate the metabolic ratios with anthropometric measurement.

Material And Methods: A prospective study was conducted upon 20 patients with metabolic syndrome (10 male, 10 female; mean age 52 years) and 20 age- and sex-matched volunteers. Patients were mild-moderate ( = 14) and marked and morbid obesity ( = 6). Patients and volunteers underwent H-MR spectroscopy of the frontal region. The Ch/Cr and NAA/Cr ratio were calculated and correlated with anthropometric measurement.

Results: The Cho/Cr and NAA/Cr of patients with Mets (1.03 ± 0.08 and 1.62 ± 0.08) were significantly different ( = 0.001) to those of volunteers (0.78 ± 0 and 1.71 ± 0.61, respectively). The Cho/Cr and NAA/Cr cutoffs used to differentiate patients from volunteers were 0.89 and 1.77 with areas under the curve of 0.992 and 0.867 and accuracy of 97% and 93%, respectively. There was a significant difference in Cho/Cr and NAA/Cr between patients with marked-morbid obesity and moderate-mild obesity ( = 0.001 respectively).

Conclusions: We concluded that NAA/Cr and Cho/Cr ratios of the frontal region can differentiate patients with metabolic syndrome from volunteers and are well correlated with the anthropometric measurement.

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References
1.
Abdel Razek A, Elkhamary S, Al-Mesfer S, Alkatan H . Correlation of apparent diffusion coefficient at 3T with prognostic parameters of retinoblastoma. AJNR Am J Neuroradiol. 2012; 33(5):944-8. PMC: 7968819. DOI: 10.3174/ajnr.A2892. View

2.
Abdel Razek A . Diffusion magnetic resonance imaging of chest tumors. Cancer Imaging. 2012; 12:452-63. PMC: 3483598. DOI: 10.1102/1470-7330.2012.0041. View

3.
Moran C, Beare R, Phan T, Bruce D, Callisaya M, Srikanth V . Type 2 diabetes mellitus and biomarkers of neurodegeneration. Neurology. 2015; 85(13):1123-30. PMC: 5573049. DOI: 10.1212/WNL.0000000000001982. View

4.
Razek A, Gaballa G . Role of perfusion magnetic resonance imaging in cervical lymphadenopathy. J Comput Assist Tomogr. 2011; 35(1):21-5. DOI: 10.1097/RCT.0b013e3181ff9143. View

5.
Razek A, Elsorogy L, Soliman N, Nada N . Dynamic susceptibility contrast perfusion MR imaging in distinguishing malignant from benign head and neck tumors: a pilot study. Eur J Radiol. 2009; 77(1):73-9. DOI: 10.1016/j.ejrad.2009.07.022. View