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

Seoul National University

Status: Enrolling

Conditions: Multiple Myeloma

Treatments: Diagnostic Test: noncontrast-enhanced whole-body CT

Study type: Observational

Funder types: Other

Identifiers

NCT05577884

SNUH-2021-4317

Details and patient eligibility

About

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.

Enrollment: 30 estimated patients

Sex: All

Ages: 19 to 85 years old

Volunteers: No Healthy Volunteers

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

Trial design

30 participants in 1 patient group

Multiple myeloma

Description:

Patients with suspicion of multiple myeloma and scheduled for CT

Treatment:

Diagnostic Test: noncontrast-enhanced whole-body CT