https://nova.newcastle.edu.au/vital/access/ /manager/Index en-au 5 Pressure-drop Modelling in the Softening and Melting Test for Ferrous Burden https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:40818 Tue 19 Jul 2022 09:37:21 AEST ]]> Postoperative computed tomography for articular fractures: a systematic review https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:33600 Thu 22 Nov 2018 16:43:21 AEDT ]]> Optimal Delay Time of CT Perfusion for Predicting Cerebral Parenchymal Hematoma After Intra-Arterial tPA Treatment https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:43334 2, >4, >6, >8, and >10 s) with PH was examined using receiver operating characteristic (ROC) analysis and logistic regression. Results: Of 94 patients, 23 developed PH on follow-up imaging. Receiver operating characteristic analysis revealed that the greatest area under the curve for predicting PH occurred at DT > 4 s (area under the curve, 0.66). At this threshold of > 4 s, DT lesion volume ≥ 30.85 mL optimally predicted PH with 70% sensitivity and 59% specificity. DT > 4 s volume was independently predictive of PH in a multivariate logistic regression model (P < 0.05). Conclusions: DT > 4 s was the parameter most strongly associated with PH. The volume of moderate, not severe, hypo-perfusion on DT is more strongly associated and may allow better prediction of PH after intra-arterial tPA thrombolysis.]]> Thu 15 Sep 2022 15:04:25 AEST ]]> Sawfishes stealth revealed using computational fluid dynamics https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:30353 Sat 24 Mar 2018 07:40:24 AEDT ]]>