Evaluation of an Artificial Intelligence Algorithm Reducing Noise on Fast Whole-body Bone
Recently, artificial intelligence algorithms reducing noise by deep learning have been developed with application to SPECT and PET images. Many studies have reported the possibility of reducing the recording time in bone scintigraphy by applying artificial intelligence algorithms reducing noise
| Condition(s) | Bone Scan |
|---|---|
| Status | Recruiting |
| Study type | Observational |
| Summary | Recently, artificial intelligence algorithms reducing noise by deep learning have been developed with application to SPECT and PET images. Many studies have reported the possibility of reducing the recording time in bone scintigraphy by applying artificial intelligence algorithms reducing noise |
| Who can participate | Inclusion Criteria: Patients who had a whole-body thee dimensions bone scan for rheumatological or oncological indications. Exclusion Criteria: Patients opposed to the use of their data |
| Ages | 18 Years to 99 Years |
| Sex | All |
| Lead sponsor | Central Hospital, Nancy, France |
| Locations | Vandœuvre-lès-Nancy, France |
| Start date | 2025-02-27 |
| NCT ID | NCT06782438 |
| Official listing | https://clinicaltrials.gov/study/NCT06782438 |