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Saatchian, Erfan, Ehsani, Sina, Montazerabadi, Alireza. (1401). Evaluation of Two Post-Processing Analysis Methods of Proton Magnetic Resonance Spectroscopy in Glioma Tumors. سامانه مدیریت نشریات علمی, 13(1), 39-44. doi: 10.31661/jbpe.v0i0.2001-1055
Erfan Saatchian; Sina Ehsani; Alireza Montazerabadi. "Evaluation of Two Post-Processing Analysis Methods of Proton Magnetic Resonance Spectroscopy in Glioma Tumors". سامانه مدیریت نشریات علمی, 13, 1, 1401, 39-44. doi: 10.31661/jbpe.v0i0.2001-1055
Saatchian, Erfan, Ehsani, Sina, Montazerabadi, Alireza. (1401). 'Evaluation of Two Post-Processing Analysis Methods of Proton Magnetic Resonance Spectroscopy in Glioma Tumors', سامانه مدیریت نشریات علمی, 13(1), pp. 39-44. doi: 10.31661/jbpe.v0i0.2001-1055
Saatchian, Erfan, Ehsani, Sina, Montazerabadi, Alireza. Evaluation of Two Post-Processing Analysis Methods of Proton Magnetic Resonance Spectroscopy in Glioma Tumors. سامانه مدیریت نشریات علمی, 1401; 13(1): 39-44. doi: 10.31661/jbpe.v0i0.2001-1055

Evaluation of Two Post-Processing Analysis Methods of Proton Magnetic Resonance Spectroscopy in Glioma Tumors

Journal of Biomedical Physics and Engineering
مقاله 5، دوره 13، شماره 1، اردیبهشت 2023، صفحه 39-44    اصل مقاله (730.66 K)
نوع مقاله: Original Research
شناسه دیجیتال (DOI): 10.31661/jbpe.v0i0.2001-1055
نویسندگان
Erfan Saatchian1؛ Sina Ehsani1؛ Alireza Montazerabadi* 2
1Department of Medical Physics, Mashhad University of Medical Sciences, Mashhad, Iran
2Medical Physics Research Center, Mashhad University of Medical Sciences, Mashhad, Iran
چکیده
Background: Magnetic resonance spectroscopy (MRS) is a non-invasive diagnostic and the neuroimaging method of choice for the noninvasive monitoring of brain metabolism in patients with glioma tumors. 1H-MRS is a reliable and non-invasive tool used to study glioma. However, the metabolite spectra obtained by 1H-MRS requires a specific quantification procedure for post-processing. According to our knowledge, no comparisons have yet been made between spectrum analysis software for quantification of gliomas metabolites. 
Objective: Current study aims to evaluate the difference between this two common software in quantifying cerebral metabolites.
Material and Methods: In this analytical study, we evaluate two post-processing software packages, java-based graphical for MR user interface packages (jMRUI) and totally automatic robust quantitation in NMR (TARQUIN) software. 1H-MRS spectrum from the brain of patients with gliomas tumors was collected for post-processing. AMARES algorithms were conducted to metabolite qualification on jMRUI software, and TARQUIN software were implemented with automated quantification algorithms. The study included a total of 30 subjects. For quantification, subjects were divided into a normal group (n=15) and group of gliomas (n=15). 
Results: When calculated by TARQUIN, the mean metabolites ratio was typically lower than by jMRUI. While, the mean ratio of metabolites varied when quantified by jMRUI vs. TARQUIN, both methods apparent clinical associations.  
Conclusion: TARQUIN and jMRUI are feasible choices for the post-processing of cerebral MRS data obtained from glioma tumors.
کلیدواژه‌ها
Proton Magnetic Resonance Spectroscopy؛ Glioma؛ Software Validation
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مراجع
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