NCT05577884

Ultra-low-dose Whole-body CT Using AI-based CT Reconstruction in Patients With Multiple Myeloma

Noise Reduction and Image Quality Improvement in Ultra-low-dose Whole-body CT Scans Using AI-based CT Reconstruction Program (ClariCT.AI) in Patients With Multiple Myeloma: A Prospective, Single-center Study

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 30 (estimated)
• Sponsor: Seoul National University Hospital · Academic / Other
• Sex: All
• Age: 19 Years – 85 Years
• Healthy volunteers: Not accepted

Summary

This prospective study aims to perform intra-individual comparison of the image quality between ultra-low-dose whole-body CT with deep learning reconstruction and conventional low-dose whole-body CT with iterative reconstruction in patients with suspected multiple myeloma.

Conditions

• Multiple Myeloma

Interventions

Type	Name	Description
DIAGNOSTIC_TEST	noncontrast-enhanced whole-body CT	noncontrast-enhanced low-dose whole-body CT using dual-source CT scanner using A-tube (75% radiation) and B-tube (25% radiation). * conventional low-dose CT data (A +B tubes, 100% dose) are reconstructed with iterative reconstruction * ultra-low dose CT data (B-tube only, 25% dose) are reconstructed with deep learning commercially available software.

Timeline

• Start date: 2022-10-06
• Primary completion: 2022-12-31
• Completion: 2023-02-28
• First posted: 2022-10-13
• Last updated: 2022-11-08

Locations

1 site across 1 country: South Korea

Regulatory

• FDA-regulated device study