https://ogma.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:54994 Wed 27 Mar 2024 16:38:54 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:45220 Wed 26 Oct 2022 19:56:49 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:27681 Wed 11 Apr 2018 13:22:02 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:30211 Wed 09 Feb 2022 15:53:54 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:49004 Wed 03 May 2023 12:17:09 AEST ]]> 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:51990 Tue 26 Sep 2023 10:53:57 AEST ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:48126  99% for criteria of 3%/2 mm and 2%/2 mm. With dose criteria of 1%/1 mm, the pass rate was higher for the male cohort at 96.3% than the female cohort at 93.4%. MRI to sCT anatomical agreement for bone and body delineated contours was assessed, with a resulting Dice score of 0.91 ± 0.2 (mean ± 1 SD) and 0.97 ± 0.0 for the male cohort respectively; and 0.96 ± 0.0 and 0.98 ± 0.0 for the female cohort respectively. The mean absolute error in Hounsfield units (HUs) within the entire body for the male and female cohorts was 59.1 HU ± 7.2 HU and 53.3 HU ± 8.9 HU respectively. Conclusions: A multi-atlas based method for sCT generation can be applied to a standard T1-weighted MRI sequence for male and female pelvic patients. The implications of this study support MRI only planning being applied more broadly for both male and female pelvic sites.]]> Tue 21 Mar 2023 15:07:30 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:39881 Tue 04 Oct 2022 15:37:28 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:20297 cc for OAR and D₁₀₀, D₉₈ and D₉₀ for HR-CTV) were also considered. For patients with small HR-CTV sizes, introduction of MR-based volumetric brachytherapy produced a change in dose delivered to Point A and OAR. Point A doses fell by 4.8 Gy (p = 0.0002) and ICRU and D2cc doses for OAR also reduced (p < 0.01). Mean Point A doses for MR-based brachytherapy treatment plans were closer to those of HR-CTV D₁₀₀ for volumes less than 20 cm³ and HR-CTV D₉₈ for volumes between 20 and 35 cm³, with a significant difference (p < 0.0001) between Point A and HR-CTV D₉₀ doses in these ranges. In order to maintain brachytherapy dose consistency across varying HR-CTV sizes there must be a relationship between the volume of the HR-CTV and the prescription dose. Rather than adopting a ‘one size fits all’ approach during the transition to volume-based prescriptions, this audit has shown that separating prescription volumes into HR-CTV size categories of less than 20 cm³, between 20 and 35 cm³, and more than 35 cm³ the HR-CTV can provide dose uniformity across all volumes and can be directly linked to traditional Point A prescriptions.]]> Sat 24 Mar 2018 07:55:14 AEDT ]]> https://ogma.newcastle.edu.au/vital/access/ /manager/Repository/uon:52813 Fri 27 Oct 2023 17:01:02 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:38429 p = 0.04, ROC AUC 0.90) and standard deviation (SD) (p = 0.02, ROC AUC 0.90), week 2 skewness (p = 0.02, ROC AUC 0.91) and SD (p = 0.01, ROC AUC 0.94), week 4 kurtosis (p = 0.01, AUC 0.92) and SD (p = 0.01, ROC AUC 0.96). Changes in minimum ADC between baseline and week 2 (p = 0.02, ROC AUC 0.94) and baseline and week 4 (p = 0.02, ROC AUC 0.94) were prognostic for local recurrence. For prediction of any recurrence, ADC minimum (p = 0.02, ROC AUC 0.87) and SD (p = 0.01, ROC AUC 0.85) at baseline, and ADC maximum (p = 0.03, ROC AUC 0.77) and SD (p = 0.02, ROC AUC 0.81) at week 4 were significant. On LASSO logistic regression, ADC minimum and SD at baseline were retained for any recurrence. The only significant finding for DCE-MRI was a correlation of k-trans min at the second follow-up with local recurrence (p = 0.05, AUC 0.84). Conclusion: Several ADC parameters at various time points correlate with recurrence suggesting DW-MRI is a potential biomarker for SCCAC.]]> Fri 10 Sep 2021 12:16:47 AEST ]]>