New AI-based Technologies in Nuclear Medicine
The study aims to identify and predict radiopharmaceutical extravasation events using new semi-quantitative parameters and machine learning models. It involves dose rate measurements to develop metrics for real-time monitoring. It also investigates the correlation between extravasation and SUV correction in PET/CT diagnostics, providing an estimate of the correction factor necessary for accurate SUV evaluation in case of an extravasation event.
patients undergoing PET/CT scans or therapeutic treatments with radiopharmaceuti...
patients whose clinical or psychological conditions do not allow for their invol...