Publications by authors named "M W Kusk"

Gated equilibrium radionuclide angiography (ERNA), or multigated acquisition scanning, is a well-established technique to monitor left ventricular ejection fraction (LVEF) in patients treated with potentially cardiotoxic chemotherapy. To determine the results of a true change in LVEF, low inter- and intrareader variability is important. The aim of this study was to investigate inter- and intrareader variability in LVEF measurements using 2 different commercially available software packages with cardiac MR (CMR) as a reference standard.

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Introduction: Virtual reality (VR) simulation is a technology that empowers students and radiographers to practice radiography in a virtual environment that resembles real-life clinical scenarios. The purpose of this randomised study was to examine the relationship between clinical specialty and the ability to assess and obtain a lateral wrist radiograph using a VR simulator.

Methods: Radiographers and radiography students were recruited from the EFRS Research Hub at the 2024 European Congress of Radiology.

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Objectives: This prospective study tested the diagnostic accuracy, and absolute agreement with MRI of a low-dose CT protocol for left ventricular ejection fraction (LVEF) measurement. Furthermore we assessed its potential for combining it with Chest-Abdomen-Pelvis CT (CAP-CT) for a one-stop examination.

Materials & Methods: Eighty-two patients underwent helical low-dose CT.

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Introduction: The impact of artificial intelligence (AI) on the radiography profession remains uncertain. Although AI has been increasingly used in clinical radiography, the perspectives of the radiography professionals in Nordic countries have yet to be examined. The primary aim was to examine views of Nordic radiographers 'on AI, with focus on perspectives, engagement, and knowledge of AI.

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Introduction: The integration of artificial intelligence (AI) into the domain of radiography holds substantial potential in various aspects including workflow efficiency, image processing, patient positioning, and quality assurance. The successful implementation of AI within a Radiology department necessitates the participation of key stakeholders, particularly radiographers. The study aimed to provide a comprehensive investigation about Nordic radiographers' perspectives and attitudes towards AI in radiography.

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