Diagnostic Value of Short and Long Echo Time in 1H-MRS for Patients with Multiple Sclerosis

Bogdan, A. A.; Kataeva, G. V.; Khomenko, J. G.; Ilves, A. G.; Прахова, Л. Н.

doi:10.1007/s00723-017-0900-2

Cited by 3 publications

(4 citation statements)

References 5 publications

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“…As short TE allowed us to detect more metabolites especially myo-inositol and glutamates, As the change of their levels found to be related to poor outcome in some cases [18]. We also used long TE because the attenuation of the signal from the metabolites with shorter time of relaxation (TR), improves the signalnoise ratio of the main three metabolites (NAA, Cho, and Cr), and allowed better calculation of the ratios [19].…”

Section: Discussionmentioning

confidence: 99%

Diagnostic and prognostic role of proton single-voxel spectroscopy (SVS) in non-lesional epilepsy pediatric patients: prospective controlled study

Faheem

Dabour

Abdelhaie

2020

Egypt J Radiol Nucl Med

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Background: We aimed to verify the diagnostic and prognostic role of proton single-voxel spectroscopy (SVS) in children with non-lesional epilepsy and its add-on value to conventional MR. The prospective controlled study carried out on the epileptic patients who were regularly following in the pediatric neurology clinic in our university hospital, over the period from July 2017 to July 2018. It compared SVS findings (NAA/Cr, NAA/Cho, and NAA/ Cho+Cr ratios) between the case (50 patients) and control group (20 children), between the cases with different seizures semiology and between the patients with intractable and non-intractable epilepsy. Results: NAA/Cr ratio showed a significant difference between the patients with intractable and non-intractable epilepsy in the basal ganglia (P value 0.005) and white matter (P value 0.043) with cutoff values of 1.5 and 1.9 respectively. A significant difference of NAA/Cho ratio was found between generalized seizures cases and other seizures semiology in basal ganglia (P value 0.012) and cortex (P value <.001). There was no significant difference between the patient and control groups or between generalized seizures cases and the control group. Conclusion: Proton SVS has limited diagnostic value in non-lesional epilepsy pediatric patients, in differentiation between generalized seizures and other seizure types, but, it has a good prognostic role in predicting patients who will develop intractable epilepsy.

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Section: Discussionmentioning

confidence: 99%

Diagnostic and prognostic role of proton single-voxel spectroscopy (SVS) in non-lesional epilepsy pediatric patients: prospective controlled study

Faheem

Dabour

Abdelhaie

2020

Egypt J Radiol Nucl Med

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“…This work is based on the INTERPRET single‐voxel multicentre dataset, 20–24 where each patient went through two different sequences using a short (STE) and a long echo time (LTE). STE spectra include more metabolites than LTE, but LTE key metabolites like creatine and choline have higher SNRs 25 . The two single‐voxel sequences used in the INTERPRET dataset were Point RESolved Spectroscopy (PRESS) 26 and the stimulated echo acquisition mode (STEAM) 27 sequence.…”

Section: Methodsmentioning

confidence: 99%

“…STE spectra include more metabolites than LTE, but LTE key metabolites like creatine and choline have higher SNRs. 25 The two single-voxel sequences used in the INTERPRET dataset were Point RESolved Spectroscopy (PRESS) 26 and the stimulated echo acquisition mode (STEAM) 27 sequence. Figure 1 shows an example of a metastasis and a glioblastoma brain tumour acquired in the INTERPRET dataset with LTE and STE.…”

Section: Methodsmentioning

confidence: 99%

Deep learning magnetic resonance spectroscopy fingerprints of brain tumours using quantum mechanically synthesised data

Δικαίος

2021

NMR in Biomedicine

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Metabolic fingerprints are valuable biomarkers for diseases that are associated with metabolic disorders. 1H magnetic resonance spectroscopy (MRS) is a unique noninvasive diagnostic tool that can depict the metabolic fingerprint based solely on the proton signal of different molecules present in the tissue. However, its performance is severely hindered by low SNR, field inhomogeneities and overlapping spectra of metabolites, which affect the quantification of metabolites. Consequently, MRS is rarely included in routine clinical protocols and has not been proven in multi‐institutional trials. This work proposes an alternative approach, where instead of quantifying metabolites’ concentration, deep learning (DL) is used to model the complex nonlinear relationship between diseases and their spectroscopic metabolic fingerprint (pattern). DL requires large training datasets, acquired (ideally) with the same protocol/scanner, which are very rarely available. To overcome this limitation, a novel method is proposed that can quantum mechanically synthesise MRS data for any scanner/acquisition protocol. The proposed methodology is applied to the challenging clinical problem of differentiating metastasis from glioblastoma brain tumours on data acquired across multiple institutions. DL algorithms were trained on the augmented synthetic spectra and tested on two independent datasets acquired by different scanners, achieving a receiver operating characteristic area under the curve of up to 0.96 and 0.97, respectively.

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“…Анализ проводился в двух анатомических срезах ГМ (перивентрикулярный срез: перивентрикулярное белое вещество, в основном область семиовального центра; наджелудочковый срез: поясные извилины). Указанная область спектроскопического анализа выбрана на основе предварительных результатов исследования и ранее опубликованных данных [8]. Проведена спектроскопическая оценка концентраций NAA (маркер целостности нейронов и их отростков, входит в состав миелина), Cr (отражает метаболизм аденозинтрифосфата), Cho и холинсодержащих соединений (маркеры метаболизма клеточных мембран).…”

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Spectroscopic analysis of metabolic profile in patients with relapsed multiple sclerosis

Shkilnyuk

Bogdan

Kryukova

et al. 2022

Annals of Clinical and Experimental Neurology

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Introduction. Managing patients with relapsing-remitting multiple sclerosis (RMS) remains a pressing issue. Objective. To detect the reversible metabolic changes of the brain matter in patients with clinically exacerbated RMS and to follow them up after intravenous glucocorticoid (IVGC) treatment. Materials and methods. Neurological examination and neuroimaging in the RMS patients included expanded disability status scale (EDSS) scoring, conventional brain magnetic resonance imaging (MRI), and proton nuclear magnetic resonance spectroscopy (1H-NMR spectroscopy) before and after IVGC treatment. Multivoxel 1H-NMR spectroscopy was used to assess metabolism in the centra semiovale and cingulate gyri. Results. Based on the multivoxel 1H-NMR spectroscopy, relative metabolite concentrations in the grey and white matter statistically differed within the study cohort before and after the IVGC treatment. The N-acetylaspartate/choline ratio significantly recovered and the choline/creatine ratio decreased in the anterior cingulate gyri in 27% of patients. The brainstem function score significantly improved in the metabolic response group as compared to the non-metabolic response group. Conclusion. We should study the potential predictors of RMS activity and the IVGC response to select the RMS relapses when pulse-therapy with IVGCs is definitely indicated. Spectroscopy may reveal RMS pathogenesis variability earlier than conventional MRI.

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Diagnostic Value of Short and Long Echo Time in 1H-MRS for Patients with Multiple Sclerosis

Cited by 3 publications

References 5 publications

Diagnostic and prognostic role of proton single-voxel spectroscopy (SVS) in non-lesional epilepsy pediatric patients: prospective controlled study

Diagnostic and prognostic role of proton single-voxel spectroscopy (SVS) in non-lesional epilepsy pediatric patients: prospective controlled study

Deep learning magnetic resonance spectroscopy fingerprints of brain tumours using quantum mechanically synthesised data

Spectroscopic analysis of metabolic profile in patients with relapsed multiple sclerosis

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