Ultra-low-dose Whole-body CT Using AI-based CT Reconstruction in Patients With Multiple Myeloma
NCT ID: NCT05577884
Last Updated: 2022-11-08
Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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UNKNOWN
30 participants
OBSERVATIONAL
2022-10-06
2023-02-28
Brief Summary
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Detailed Description
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Conditions
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Study Design
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COHORT
PROSPECTIVE
Study Groups
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Multiple myeloma
Patients with suspicion of multiple myeloma and scheduled for CT
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.
Interventions
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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.
Eligibility Criteria
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Inclusion Criteria
* 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
* non-Korean patients
* pregnancy
19 Years
85 Years
ALL
No
Sponsors
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Seoul National University Hospital
OTHER
Responsible Party
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Hee-Dong Chae
Clinical Professor
Principal Investigators
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Hee-Dong Chae, MD
Role: PRINCIPAL_INVESTIGATOR
Seoul National University Hospital
Locations
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Seoul National University Hospital
Seoul, , South Korea
Countries
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Central Contacts
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Facility Contacts
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Other Identifiers
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SNUH-2021-4317
Identifier Type: -
Identifier Source: org_study_id
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