Publications by authors named "S J Doran"
Background: The objective of this study was to assess the health outcomes for patients who present to the emergency department (ED) with cardiac chest pain after the implementation of an accelerated diagnostic protocol using a high-sensitivity troponin assay (hs-TnI).
Methods: This prospective before-after cohort study used population-based linked health administrative data for adult patients who presented to a Canadian urban ED with chest pain of suspected cardiac origin over a 2-year study period. The primary outcome was ED length of stay (LOS).
Overview of the utility of noncontrast CT brain in the diagnosis of cerebral vein thrombosis.
Radiol Case Rep
January 2025
Cerebral venous thrombosis (CVT) accounts for approximately 1% of all stroke presentations and due to variable clinical presentation, it can present a diagnostic difficulty. The purpose of this review is to re-iterate the usefulness of noncontrast CT brain (CTB) in detecting CVT. In this pictorial essay, we highlight our experience in multiple cases where unenhanced CTB demonstrated imaging features of CVT allowing early diagnosis and ensuing prompt management of CVT.
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- Radiology is leading the way in using artificial intelligence (AI) in medicine, which is important for improving how patients are cared for.
- To help with this, three workshops are being organized for experts and industry leaders to share ideas and tackle challenges.
- The first workshop focused on using everyday data to evaluate AI, discussing ethics, data management, sharing methods, and the importance of considering patients' perspectives.
Introduction: The role of concurrent pyloroplasty with esophagectomy is unclear. Available literature on the impact of pyloroplasty during esophagectomy on complications and weight loss is varied. Data on the need for further pyloric intervention are scarce.
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- A study validated a radiomics model that uses MRI imaging to differentiate between lipomas and atypical lipomatous tumors (ALTs), addressing challenges associated with traditional biopsy methods.
- Three cohorts were analyzed: two for external validation from the US and UK and one for prospective validation from the Netherlands, utilizing automatic and interactive segmentation methods for tumor imaging.
- The model demonstrated strong performance with area under the curve (AUC) scores ranging from 0.74 to 0.89, matching or exceeding the diagnostic abilities of expert radiologists.