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

Recruiting

• Conditions: Multiple Myeloma

• Registration Number: NCT05577884
• Lead Sponsor: Seoul National University Hospital

Brief 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.

Detailed Description

Not available

Study Timeline

• Study First Submitted: 2022-10-05
• Study Start: 2022-10-06
• Study First Submitted QC: 2022-10-10
• Study First Posted: 2022-10-13
• Status Verified: 2022-11
• Last Update Submitted: 2022-11-07
• Last Update Posted: 2022-11-08
• Primary Completion: 2022-12-31
• Study Completion: 2023-02-28

Recruitment & Eligibility

• Status: RECRUITING
• Sex: All
• Target Recruitment: 30

Inclusion Criteria

• signed informed consent
• patients with suspected multiple myeloma and scheduled for noncontrast-enhanced low-dose whole-body CT
• patients who have no previous history of chemotherapy for multiple myeloma

Exclusion Criteria

• patients who do not agree to the protocol
• non-Korean patients
• pregnancy

Study & Design

• Study Type: OBSERVATIONAL
• Study Design: Not specified

Primary Outcome Measures

Name	Time	Method
Contrast-to-noise ratio	3 months after the CT scan	Contrast-to-noise ratio (CNR) of the vertebral body and paraspinal muscle obtained at L1 vertebra level

Trial Locations

Locations (1)

Seoul National University Hospital; 🇰🇷 Seoul, Korea, Republic of