ANALISIS PERBANDINGAN SHORT DAN LONG TE TERHADAP SPEKTRUM METABOLIT MAGNETIC RESONANCE SPECTROSCOPY (MRS) DENGAN KLINIS TUMOR OTAK

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COMPARATIVE ANALYSIS OF SHORT AND LONG TE ON THE METABOLITE SPECTRUM IN MAGNETIC RESONANCE SPECTROSCOPY (MRS) FOR CLINICAL BRAIN TUMOURS

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Diagnostically, Magnetic Resonance Spectroscopy (MRS) is designed to determine metabolite concentrations by presenting a graphical spectrum of metabolites within the body. In this matter, MRS plays a significant role in analysing metabolite spectrum ratios in the brain, aiding in the diagnosis of brain abnormalities, particularly brain tumours. The use of different Time Echo (TE) parameters in MRS affects the resulting metabolite spectrum, including which metabolites are detected, the signal intensity at peak values, and variations in ratios. MRS can be performed using short or long TE; therefore, this research aims to analyse the impact of TE variations on the metabolite spectrum outcomes in brain tumours.
This research applies quantitative analytical method by employing among the other things observation, experimentation, measurement, and a literature review approach. As for the data collection, it was conducted starting from October up to November 2024 undertaken at radiology department in Bekasi Regency, using a Philips Achieva 1.5 Tesla MRI scanner. The study involved 10 patient samples selected based on the predefined inclusion criteria.
Meanwhile data collection methods included primary data observation, processing using Spectro View software, and interviews with experienced respondents. Research instruments comprised worksheets, computer software, and interview forms.
Data analysis was performed by using SPSS, starting with normality testing via the Shapiro-Wilk test. Hypothesis testing followed, utilizing the parametric paired sample t-test for normally distributed data and the non-parametric Wilcoxon two-sample test for non-normally distributed data.
The data processing and analysis conducted on MRS brain examinations with clinical brain tumours utilized short TE (35 ms) and long TE (144 ms). The examination results included metabolite spectrum graphs and the peak values of NAA, choline, and creatine metabolites. These data were processed and analysed using SPSS and compared with findings from relevant journals. The results demonstrated that short and long TE cannot replace one another as they each play a distinct role in diagnostic accuracy. Therefore, combining variations of TE is essential for establishing a reliable diagnosis.

Keywords : MR Spectroscopy, Single Voxel, Short TE, Long TE, Brain Tumour
Reference List : 39 (2010–2024)

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2025

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Heri Kuswoyo (P1); Sriyatun (P2); Asumsie Tarigan (P3); Khairil Anwar (P4); D4-TRO-2025-P21130223959

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