Using Artificial Intelligence to Improve Diagnosis of Hyperparathyroidism with Dual-Isotope Parathyroid Scans

What this Trial Is About

Researchers are evaluating the use of artificial intelligence AI algorithms to improve the detection and localization of parathyroid adenomas in patients undergoing parathyroid scans. The study aims to develop programs that automatically subtract planar and tomographic parathyroid images to assist doctors in diagnosing hyperparathyroidism more efficiently. This observational study is conducted using existing imaging data collected from standard diagnostic procedures. The study involves creating an AI-based diagnostic assistance program and an automatic image subtraction tool for double-isotope parathyroid images. These tools will be developed using data from parathyroid scans performed with a dual-isotope protocol involving iodine 123 and technetium 99m, including planar, pinhole, low energy high resolution LEHR, and SPECTCT imaging. The imaging data used are collected retrospectively and prospectively without requiring additional examinations. Participants medical records and imaging data will be reviewed without any extra procedures. Researchers will measure the success of the AI diagnostic program development over an average of four years and the image subtraction program over two years. The study evaluates the agreement between diagnoses made by nuclear physicians using current methods versus the new AI-assisted method. No extra patient visits or treatments are involved, and data use depends on the patients consent for research purposes.

NUclear MEdicine DIagnostic and Artificial Intelligence