https://nova.newcastle.edu.au/vital/access/ /manager/Index ${session.getAttribute("locale")} 5 https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:52966 Wed 28 Feb 2024 16:08:27 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:36968 2 [IQR 7–21]) compared to benign thyroid (6 nerves/cm² [IQR: 3–10]) (p = 0.001). In contrast, no increase in nerve density was observed in FTC. In multivariate analysis, nerve density correlated positively with extrathyroidal invasion (p < 0.001), and inversely with tumour size (p < 0.001). The majority of nerves were adrenergic, although cholinergic and peptidergic innervation was detected. Perineural invasion was present in 35% of PTC, and was independently associated with extrathyroidal invasion (p = 0.008). This is the first report of infiltration of nerves into the tumour microenvironment of thyroid cancer and its association with tumour aggressiveness. The role of nerves in thyroid cancer pathogenesis should be further investigated.]]> Wed 24 May 2023 12:56:43 AEST ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:47072 Wed 13 Mar 2024 09:25:37 AEDT ]]> https://nova.newcastle.edu.au/vital/access/ /manager/Repository/uon:50131 90%. Conclusion: Simple image analysis based on colour filtration/cluster analysis does not accurately identify immunohistochemically labelled nerves in thyroid cancers. Addition of deep-learning improves sensitivity with acceptable specificity, and significantly increases the number of true positive nerves detected compared to manual counting. However, the current deep learning model lacks specificity in the setting of non-specific immunostaining, which is a basis for improving further iterations of this model to facilitate study of the significance of innervation of thyroid and other cancers.]]> Tue 04 Jul 2023 12:10:29 AEST ]]>