https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:29346 Wed 23 Feb 2022 16:04:41 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:30189 Hfe^−/−xTfr2^mut mouse model. This was accompanied by altered expression of a group of myelin-related genes, including a suite of genes causatively linked to the rare disease family ‘neurodegeneration with brain iron accumulation’ (NBIA). Expanded data mining and ontological analyses have now identified additional myelin-related transcriptome changes in response to brain iron loading. Concordance between the mouse transcriptome changes and human myelin-related gene expression networks in normal and NBIA basal ganglia testifies to potential clinical relevance. These analyses implicate, among others, genes linked to various rare central hypomyelinating leukodystrophies and peripheral neuropathies including Pelizaeus-Merzbacher-like disease and Charcot-Marie-Tooth disease as well as genes linked to other rare neurological diseases such as Niemann-Pick disease. The findings may help understand interrelationships of iron and myelin in more common conditions such as hemochromatosis, multiple sclerosis and various psychiatric disorders.]]> Wed 11 Apr 2018 16:58:00 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:25925 Wed 11 Apr 2018 14:57:01 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:31828 Wed 09 Mar 2022 16:00:57 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:34511 0.1cc, D_1cc, D_2cc and D_10cc were calculated in two ways. (i) Parameter-adding: the EBRT DVH parameters (or the EBRT prescription dose) were added to the unregistered HDR-BT DVH parameters. (ii) Distribution-adding: the parameters were extracted after the EBRT doses were 3D-summed with the registered HDR-BT doses. Resulting differences between the parameters were investigated. Results: The D_0.1cc, D_1cc and D_2cc from parameter-adding were 21.3% (P < 0.001), 6.3% (P < 0.001) and 3.5% (P < 0.001) smaller than those from distribution-adding. The D_10cc was 2.2% (P=0.015) larger for distribution-adding. Conclusion: Distribution-adding was confounded by unsystematic inter/intra-observer rectum-contouring errors and registration accuracy near the anterior rectal wall. Consequently, clinical use of distribution-adding to assess rectal doses requires careful contour and registration evaluation.]]> Thu 28 Oct 2021 13:04:40 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:34316 Thu 03 Feb 2022 12:21:50 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:10479 Sat 24 Mar 2018 08:09:15 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:22558 Sat 24 Mar 2018 07:14:46 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:24849 0.6 while all haematuria endpoints and longitudinal incontinence models produced AUROC<0.6. Conclusions: Logistic regression and MARS were most likely to be the best-performing strategy for the prediction of urinary symptoms with elastic-net and random forest producing competitive results. The predictive power of the models was modest and endpoint-dependent. New features, including spatial dose maps, may be necessary to achieve better models.]]> Sat 24 Mar 2018 07:11:24 AEDT ]]>