https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:45246 Wed 26 Oct 2022 15:22:01 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:24236 Wed 16 Nov 2016 14:36:47 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:24868 Wed 11 Apr 2018 16:46:08 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:21288 in vivo Localized COrrelated SpectroscopY (L-COSY). Methods: To achieve this, L-COSY was used to examine five former professional male athletes with 11 to 28 years of exposure to contact sports. Each athlete who had had multiple symptomatic concussions and repetitive sub concussive trauma during their career was assessed by an experienced neuropsychologist. All athletes had clinical symptoms including headaches, memory loss, confusion, impaired judgment, impulse control problems, aggression, and depression. Five healthy men, age and weight matched to the athlete cohort and with no history of brain trauma, were recruited as controls. Data were collected from the posterior cingulate gyrus using a 3 T clinical magnetic resonance scanner equipped with a 32 channel head coil. Results: The variation of the method was calculated by repeated examination of a healthy control and phantom and found to be 10% and 5%, respectively, or less. The L-COSY measured large and statistically significant differences (P ≤0.05), between healthy controls and those athletes with RBT. Men with RBT showed higher levels of glutamine/glutamate (31%), choline (65%), fucosylated molecules (60%) and phenylalanine (46%). The results were evaluated and the sample size of five found to achieve a significance level P = 0.05 and a power of 90%. Differences in N-acetyl aspartate and myo-inositol between RBT and controls were small and were not statistically significance. Conclusions: A study of a small cohort of professional athletes, with a history of RBT and symptoms of chronic traumatic encephalopathy when compared with healthy controls using 2D L-COSY, showed elevations in brain glutamate/glutamine and choline as recorded previously for early traumatic brain injury. For the first time increases in phenylalanine and fucose are recorded in the brains of athletes with RBT. Larger studies utilizing the L-COSY method may offer an in-life method of diagnosis and personalized approach for monitoring the acute effects of mild traumatic brain injury and the chronic effects of RBT.]]> Wed 11 Apr 2018 12:16:35 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:53604 75% (AUC = 0.79, SE = 0.014). Discrimination between ISO lesions and cNAWM was accomplished with an accuracy of >69% (AUC = 0.74, SE = 0.018), while discrimination between BH lesions and cNAWM was achieved at an accuracy of >80% (AUC = 0.87, SE = 0.021). Conclusions: Our results highlight the potential of APTw imaging for use as a non-invasive technique that is able to provide essential molecular information to clinicians and researchers so that the stages of inflammation and degeneration in MS lesions can be better characterized.]]> Wed 07 Feb 2024 14:34:19 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:54037 Tue 30 Jan 2024 13:42:08 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:53472 Tue 28 Nov 2023 15:54:21 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:39248 TCD , as an indicator of vascular stiffening and vascular health. We investigate the correlations of the new index and the existing indices, namely the pulsatility index and the augmentation index, with age, cardiorespiratory fitness (CRF) and magnetic resonance imaging (MRI) blood flow pulsatility index (PI_MRI). Notably, the new index showed stronger correlations with CRF (r = −0.79) and PI MRI (r = 0.53) compared with the augmentation index (r = −0.65 with CRF and no significant correlation with PI_MRI) and the pulsatility index (no significant correlations with CRF or PI_MRI), and a similar correlation with age as the augmentation index. The clearer relationship of the proposed timing index with vascular aging factors underlines its utility as an early indicator of vascular stiffening.]]> Tue 27 Feb 2024 13:54:24 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:53309 .05). Compared to HCs, both RRMS cohorts showed volume changes in white matter (−13%), gray matter (−16%), and cerebral spinal fluid (CSF) (+17-23%), as well as reduced NAA (−17%, p =.001, hippocampus), (−7%, p =.001, PCG), and (−9%, p =.001, PFC). MRI/S metrics in three regions were moderately correlated with cognition and fatigue functions. Conclusion: While both treatment arms showed overall similar volumetric and neurometabolic profiles, longitudinal studies are warranted to clarify neurometabolic changes and associations with treatment efficacy.]]> Tue 21 Nov 2023 12:02:21 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:54334 Tue 20 Feb 2024 16:06:06 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:36572 Tue 09 Jun 2020 11:40:47 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:41391 Tue 02 Aug 2022 17:47:20 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:53980 pFDR ≤ 0.001; false-detection-rate (FDR)-corrected). There was a significant decrease in WML diffusivities and an increase in FA over the follow-up period in most TOIs (pFDR ≤ 0.001). Additionally, there were no differences in DTI parameters across treatment groups. AD and MD were positively correlated with fatigue scores (r ≤ 0.33, p ≤ 0.01) in NAWM-TOIs, while disability (EDSS) was negatively correlated with FA in most NAWM-TOIs (|r|≤0.31, p ≤ 0.01) at both time points. Disability scores correlated with all diffusivity parameters (r ≤ 0.29, p ≤ 0.01) in most WML-TOIs at both time points. Conclusion: Statistically significant changes in diffusion metrics in WML might be indicative of integrity improvement over two years in CTS tracts in clinically stable pw-RRMS. This finding represents structural changes within lesioned tracts. Measuring diffusivity in pw-RRMS affected tracts might be a relevant measure for future remyelination clinical trials.]]> Thu 25 Jan 2024 12:56:51 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:38734 Thu 21 Jul 2022 09:53:03 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:38735 Thu 20 Jan 2022 14:53:08 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:40626 Thu 11 Aug 2022 11:20:50 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:46046 Thu 10 Nov 2022 09:29:01 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:42724 Thu 01 Sep 2022 13:18:31 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:46813 Thu 01 Dec 2022 10:36:47 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:13275 Sat 24 Mar 2018 08:15:16 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:18367 Sat 24 Mar 2018 07:52:38 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:20124 Sat 24 Mar 2018 07:51:45 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:27115 Sat 24 Mar 2018 07:41:35 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:25640 Sat 24 Mar 2018 07:28:09 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:27598 Sat 24 Mar 2018 07:25:17 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:27597 Sat 24 Mar 2018 07:25:17 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:27596 Sat 24 Mar 2018 07:25:16 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:52843 Mon 30 Oct 2023 09:54:52 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:42377 Mon 22 Aug 2022 14:29:24 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37633 Mon 20 Nov 2023 15:47:52 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:48497 1H MR spectroscopic imaging (3D ¹H 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 ¹H MRSI using GOIA-sLASER. Assessment: Cancer and normal regions of interest (ROIs) were selected by an experienced radiologist and ¹H 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.]]> Mon 20 Mar 2023 14:05:29 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:43429 P ≤ .05). Only GPC showed positive correlation with all fatigue domains (r = .537, P ≤ .05). On the other hand, Glx-upper, NAA-2, GSH+Hca, and fucose-3 showed negative correlations with all fatigue domains (r = –.345 to –.580, P ≤ .05). While tyrosine showed positive correlation with MFIS (r = .499, P ≤ .05), cognitive fatigue was negatively correlated with total GSH (r = –.530, P ≤ .05). No correlations were found between lesion load or brain volumes with fatigue score. CONCLUSIONS: Our results suggest that fatigue in MS is strongly correlated with an imbalance in neurometabolites but not structural brain measurements.]]> Mon 19 Sep 2022 09:29:20 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:50094 Mon 17 Jul 2023 10:30:00 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:37094 Mon 17 Aug 2020 12:34:46 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:54196 Mon 12 Feb 2024 14:43:11 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:54737 90 % accuracy in this cohort (AUC=0.92, SE=0.86 - 0.94). Conclusion: Multi-modal MRI signatures can predict cognitive decline in a cohort of pwMS over 5 years with high accuracy. Future studies will benefit from the inclusion of even more MR modalities e.g., functional MRI, quantitative susceptibility mapping, magnetisation transfer imaging, as well as other potential predictors e.g., genetic and environmental factors. With further validation, this signature could be used in future trials with high-risk patients to personalise the management of cognitive decline in pwMS, even in the absence of relapses.]]> Mon 11 Mar 2024 14:19:33 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:30630 1H-MRS) and localization techniques principles, different fast MRSI techniques will be discussed from their initial development to the recent innovations with particular emphasis on their capacity to record neurochemical changes in the brain in a variety of pathologies. The clinical applications of whole brain fast spectroscopic techniques, can assist in the assessment of neurochemical changes in the human brain and help in understanding the roles they play in disease. To give a good example of the utilities of these techniques in clinical context, MRSI application in multiple sclerosis was chosen. The available up to date and relevant literature is discussed and an outline of future research is presented.]]> Mon 11 Mar 2019 12:08:59 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:36797 Mon 06 Jul 2020 16:25:41 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:40208 Mon 01 Aug 2022 09:10:25 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:47726 Fri 24 Feb 2023 14:56:06 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:51930 Fri 22 Sep 2023 11:07:30 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:51918 Fri 22 Sep 2023 10:40:32 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:47224 Fri 16 Dec 2022 10:37:25 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:44478 Fri 14 Oct 2022 08:50:55 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:49119 Fri 05 May 2023 11:46:07 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:47876 0.12). in vivo results showed statistically significant diurnal variations (P ≤ 0.05, F > 3.88) for 22 resonances. Bonferroni post-hoc testing showed there was statistically significant increases in metabolite ratios between 0700 and 1700 and these include different moieties of N-acetylaspartate, creatine, choline, myo-inositol, lipids, fucose, glutathione, and homocarnosine. Data Conclusion: 2D L-COSY can detect diurnal physiological variability in neuro-metabolite levels. Thus, time of the day should be considered when planning MRS studies to avoid confounding results. Level of Evidence: 1. Technical Efficacy Stage: 1.]]> Fri 03 Feb 2023 15:17:52 AEDT ]]>