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RECRUITING
NCT07174089

New AI-based Technologies in Nuclear Medicine

Sponsor: Azienda USL Reggio Emilia - IRCCS

View on ClinicalTrials.gov

Summary

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.

Official title: New AI-based Technologies for Even Safer and More Precise Nuclear Medicine

Key Details

Gender

All

Age Range

18 Years - 90 Years

Study Type

OBSERVATIONAL

Enrollment

1500

Start Date

2021-07-30

Completion Date

2026-03-31

Last Updated

2025-09-15

Healthy Volunteers

No

Interventions

OTHER

RadEye SPRD-ER device: spectrometric radiation detector capable of detecting gamma radiation.

Acquisition of data during the infusion of PET radiotracers and the administration of α and β emitting radiopharmaceuticals for therapy.

Locations (1)

Azienda USL IRCCS di Reggio Emilia

Reggio Emilia, Italy