Using AI to improve bone scan image quality
Evaluation of an Artificial Intelligence Algorithm Reducing Noise on Fast Whole-body Bone Tomoscintigraphy Acquisitions Recorded by a 360 Degree Cadmium-Zinc-Tellurid Camera
Central Hospital, Nancy, France · NCT06782438
This study is testing if a new AI tool can make bone scan images clearer and better for patients with rheumatological or cancer-related conditions.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 20 (estimated) |
| Ages | 18 Years to 99 Years |
| Sex | All |
| Sponsor | Central Hospital, Nancy, France (other) |
| Locations | 1 site (Vandœuvre-lès-Nancy) |
| Trial ID | NCT06782438 on ClinicalTrials.gov |
What this trial studies
This study evaluates an artificial intelligence algorithm designed to reduce noise in fast whole-body bone tomoscintigraphy images captured by a 360-degree cadmium-zinc-telluride camera. The research aims to determine if this AI approach can effectively replace conventional noise-reduction filters, which are commonly used in bone SPECT imaging. By comparing images processed with the AI algorithm to those processed with traditional methods, the study seeks to enhance the quality and efficiency of bone scans for patients with rheumatological or oncological conditions.
Who should consider this trial
Good fit: Ideal candidates include patients undergoing whole-body bone scans for rheumatological or oncological reasons.
Not a fit: Patients who oppose the use of their data will not benefit from this study.
Why it matters
Potential benefit: If successful, this approach could lead to faster and clearer bone scans, improving diagnostic accuracy for patients.
How similar studies have performed: While some studies have explored AI in imaging, this specific application of AI for denoising bone SPECT images is relatively novel.
Eligibility criteria
Show full inclusion / exclusion criteria
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
Where this trial is running
Vandœuvre-lès-Nancy
- Nuclear Medicine Department — Vandœuvre-lès-Nancy, France (RECRUITING)
Study contacts
- Study coordinator: Achraf BAHLOUL, MD
- Email: a.bahloul@chru-nancy.fr
- Phone: 0383153911
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.
Conditions: Bone Scan