Publications by authors named "D Doig"
Background And Purpose: Brainomix e-Stroke is an artificial intelligence-based decision support tool that aids the interpretation of CT imaging in the context of acute stroke. While e-Stroke has the potential to improve the speed and accuracy of diagnosis, real-world validation is essential. The aim of this study was to prospectively evaluate the performance of Brainomix e-Stroke in an unselected cohort of patients with suspected acute ischaemic stroke.
View Article and Find Full Text PDFIntroduction: Gliomatosis cerebri describes a rare growth pattern of diffusely infiltrating glioma. The treatment options are limited and clinical outcomes remain poor. To characterise this population of patients, we examined referrals to a specialist brain tumour centre.
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- The study investigates the correlation between outputs from two different CTP software packages, Brainomix and RapidAI, to assess patient eligibility for mechanical thrombectomy in cases of arterial occlusion.
- Results showed a high correlation in measuring ischaemic core and penumbra volumes, with Brainomix performing better in predicting final infarct volume and detecting large vessel occlusion.
- Despite the high correlation, the study found discrepancies in thrombectomy eligibility in 15% of cases, suggesting that clinical decisions should incorporate more than just imaging data.
Aim: To identify imaging predictors of molecular subtype and tumour grade in patients with isocitrate dehydrogenase (IDH) gene mutant (IDH) World Health Organization (WHO) grade 2 or 3 gliomas.
Materials And Methods: Patients with histologically confirmed WHO grade 2 or 3 IDH gliomas between 2016 and 2019 were included in the study. Magnetic resonance imaging (MRI) images were evaluated for the presence or absence of potential imaging predictors of tumour subtype, such as T2/fluid attenuated inversion recovery (FLAIR) signal match, and these factors were examined using regression analysis.