| 2021 |
Arm J, Oeltzschner G, Al-iedani O, Lea R, Lechner-Scott J, Ramadan S, 'Altered in vivo brain GABA and glutamate levels are associated with multiple sclerosis central fatigue', European Journal of Radiology, 137 (2021) [C1]
Purpose: Fatigue is a common symptom in patients with multiple sclerosis (MS) with unknown pathophysiology. Dysfunction of the GABAergic/glutamatergic pathways involving inhibitor... [more] Purpose: Fatigue is a common symptom in patients with multiple sclerosis (MS) with unknown pathophysiology. Dysfunction of the GABAergic/glutamatergic pathways involving inhibitory and excitatory neurotransmitters such as ¿-aminobutyric acid (GABA) and glutamine + glutamate pool (Glx) have been implicated in several neurological disorders. This study is aimed to evaluate the potential role of GABA and Glx in the origin of central fatigue in relapse remitting MS (RRMS) patients. Methods: 24 RRMS patients and 16 age- and sex-matched healthy controls (HC) were scanned using Mescher-Garwood point resolved spectroscopy (MEGA-PRESS) with a 3 T system to quantify GABA+ and Glx from prefrontal (PFC) and sensorimotor (SMC) cortices. Self-reported fatigue status was measured on all participants using the Modified Fatigue Impact Scale (MFIS). Results: RRMS patients had higher fatigue scores relative to HC (p = 0.05). Compared to HC, Glx levels in RRMS patients were significantly decreased in SMC (p = 0.04). Significant correlations were found between fatigue scores and GABA+ (r = -0.531, p = 0.008) and Glx (r = 0.511, p = 0.018) in PFC. Physical fatigue was negatively correlated with GABA+ in SMC and PFC (r = -0.428 and -0.472 respectively, p = 0.04) and positively with PFC Glx (r = 0.480, p = 0.028). Conclusion: The associations between fatigue and GABA + and Glx suggest that there might be dysregulation of GABAergic/glutamatergic neurotransmission in the pathophysiological mechanism of central fatigue in MS.
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| 2021 |
ARM J, Al-iedani O, Ribbons K, Lea R, Lechner-Scott J, Ramadan S, 'Biochemical Correlations with Fatigue in Multiple Sclerosis Detected by MR 2D Localized Correlated Spectroscopy', Journal of Neuroimaging, 31 508-516 (2021) [C1]
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| 2020 |
Al-iedani O, Ribbons K, Gholizadeh N, Lechner-Scott J, Quadrelli S, Lea R, et al., 'Spiral MRSI and tissue segmentation of normal-appearing white matter and white matter lesions in relapsing remitting multiple sclerosis patients', MAGNETIC RESONANCE IMAGING, 74 21-30 (2020) [C1]
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| 2019 |
Quadrelli S, Ribbons K, Arm J, Al-iedani O, Lechner-Scott J, Lea R, Ramadan S, '2D in-vivo L-COSY spectroscopy identifies neurometabolite alterations in treated multiple sclerosis', THERAPEUTIC ADVANCES IN NEUROLOGICAL DISORDERS, 12 (2019) [C1]
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| 2019 |
Gholizadeh N, Greer PB, Simpson J, Fu C, Al-iedani O, Lau P, et al., 'Supervised risk predictor of central gland lesions in prostate cancer using
Background: Due to the histological heterogeneity of the central gland, accurate detection of central gland prostate cancer remains a challenge. Purpose: To evaluate the efficacy ... [more] Background: Due to the histological heterogeneity of the central gland, accurate detection of central gland prostate cancer remains a challenge. Purpose: To evaluate the efficacy of in vivo 3D H MR spectroscopic imaging (3D H MRSI) with a semi-localized adiabatic selective refocusing (sLASER) sequence and gradient-modulated offset-independent adiabatic (GOIA) pulses for detection of central gland prostate cancer. Additionally four risk models were developed to differentiate 1) normal vs. cancer, 2) low- vs. high-risk cancer, 3) low- vs. intermediate-risk cancer, and 4) intermediate- vs. high-risk cancer voxels. Study Type: Prospective. Subjects: Thirty-six patients with biopsy-proven central gland prostate cancer. Field Strength/Sequence: 3T MRI / 3D H MRSI using GOIA-sLASER. Assessment: Cancer and normal regions of interest (ROIs) were selected by an experienced radiologist and H MRSI voxels were placed within the ROIs to calculate seven metabolite signal ratios. Voxels were split into two subsets, 80% for model training and 20% for testing. Statistical Tests: Four support vector machine (SVM) models were built using the training dataset. The accuracy, sensitivity, and specificity for each model were calculated for the testing dataset. Results: High-quality MR spectra were obtained for the whole central gland of the prostate. The normal vs. cancer diagnostic model achieved the highest predictive performance with an accuracy, sensitivity, and specificity of 96.2%, 95.8%, and 93.1%, respectively. The accuracy, sensitivity, and specificity of the low- vs. high-risk cancer and low- vs. intermediate-risk cancer models were 82.5%, 89.2%, 70.2%, and 73.0%, 84.7%, 60.8%, respectively. The intermediate- vs. high-risk cancer model yielded an accuracy, sensitivity, and specificity lower than 55%. Data Conclusion: The GOIA-sLASER sequence with an external phased-array coil allows for fast assessment of central gland prostate cancer. The classification offers a promising diagnostic tool for discriminating normal vs. cancer, low- vs. high-risk cancer, and low- vs. intermediate-risk cancer. Level of Evidence: 2. Technical Efficacy: Stage 2. J. Magn. Reson. Imaging 2019;50:1926¿1936. 1 1 1 1
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| 2019 |
Arm J, Al-Iedani O, Lea R, Lechner-Scott J, Ramadan S, 'Diurnal variability of cerebral metabolites in healthy human brain with two-dimensional localised correlation spectroscopy (2D L-COSY)', J Magn Reson Imaging, 50 592-601 (2019) [C1]
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| 2018 |
Al-iedani O, Arm J, Ribbons K, Lea RL, Lechner-Scott J, Ramadan S, 'Diurnal Stability and Long-Term Repeatability of Neurometabolites Using Single Voxel 1H Magnetic Resonance Spectroscopy', European Journal of Radiology, 108 107-113 (2018) [C1]
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| 2018 |
Arm J, Al-Iedani O, Quadrelli S, Ribbons K, Lea R, Lechner-Scott J, Ramadan S, 'Reliability of neurometabolite detection with two-dimensional localized correlation spectroscopy at 3T', J Magn Reson Imaging, 48 1559-1569 (2018) [C1]
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| 2017 |
Oun A-I, Lechner-Scott J, Ribbons K, Ramadan S, 'Fast magnetic resonance spectroscopic imaging techniques in human brain-applications in multiple sclerosis', JOURNAL OF BIOMEDICAL SCIENCE, 24 (2017) [C1]
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Al-Iedani O, Ribbons K, Lea R, Ramadan S, Lechner-Scott J, 'A Longitudinal, Observational Study of the Effect of Dimethyl Fumarate on Hippocampal Metabolites in RRMS using 1H-MR Spectroscopy', Journal of Biomedical Sciencies, 7
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