- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT05577884
Ultra-low-dose Whole-body CT Using AI-based CT Reconstruction in Patients With Multiple Myeloma
November 7, 2022 updated by: Hee-Dong Chae, Seoul National University Hospital
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
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.
Study Overview
Status
Recruiting
Conditions
Intervention / Treatment
Study Type
Observational
Enrollment (Anticipated)
30
Contacts and Locations
This section provides the contact details for those conducting the study, and information on where this study is being conducted.
Study Contact
- Name: Hee-Dong Chae, MD
- Phone Number: 82-2-2072-4209
- Email: hdchae02@gmail.com
Study Contact Backup
- Name: Jeong Hoon Park, BS
- Phone Number: 82-2-2072-3610
- Email: gns02066@naver.com
Study Locations
-
-
-
Seoul, Korea, Republic of, 03080
- Recruiting
- Seoul National University Hospital
-
Contact:
- Hee-Dong Chae, MD
- Phone Number: +82-2-2072-4209
- Email: hdchae02@gmail.com
-
Principal Investigator:
- Hee-Dong Chae, MD
-
-
Participation Criteria
Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.
Eligibility Criteria
Ages Eligible for Study
19 years to 85 years (Adult, Older Adult)
Accepts Healthy Volunteers
No
Genders Eligible for Study
All
Sampling Method
Non-Probability Sample
Study Population
Patients who are referred to Hemoatooncology department with suspicion of multiple myeloma
Description
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 Plan
This section provides details of the study plan, including how the study is designed and what the study is measuring.
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
Multiple myeloma
Patients with suspicion of multiple myeloma and scheduled for CT
|
noncontrast-enhanced low-dose whole-body CT using dual-source CT scanner using A-tube (75% radiation) and B-tube (25% radiation).
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Contrast-to-noise ratio
Time Frame: 3 months after the CT scan
|
Contrast-to-noise ratio (CNR) of the vertebral body and paraspinal muscle obtained at L1 vertebra level
|
3 months after the CT scan
|
Other Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Noise
Time Frame: 3 months after the CT scan
|
Noise at paraspinal muscle
|
3 months after the CT scan
|
|
Signal-to-noise ratio (SNR)
Time Frame: 3 months after the CT scan
|
Signal-to-noise ratio (SNR) at paraspinal muscle
|
3 months after the CT scan
|
|
Edge rising distance
Time Frame: 3 months after the CT scan
|
Edge rising distance at vertebral cortex
|
3 months after the CT scan
|
|
Subjective overall image quality
Time Frame: 3 months after the CT scan
|
Subjective overall image quality on four-point scale (1: worst, 4: excellent, representative value is average score)
|
3 months after the CT scan
|
|
Conspicuity of bone structure
Time Frame: 3 months after the CT scan
|
Conspicuity of bone structure on four-point scale (1: worst, 4: excellent, representative value is average score)
|
3 months after the CT scan
|
|
Conspicuity of soft tissue
Time Frame: 3 months after the CT scan
|
Conspicuity of soft tissue on four-point scale (1: worst, 4: excellent, representative value is average score)
|
3 months after the CT scan
|
|
Lesion detectability
Time Frame: 3 months after the CT scan
|
Myeloma lesion detection rate on conventional low-dose CT and ultra-low-dose CT by blinded reviewers
|
3 months after the CT scan
|
Collaborators and Investigators
This is where you will find people and organizations involved with this study.
Investigators
- Principal Investigator: Hee-Dong Chae, MD, Seoul National University Hospital
Study record dates
These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.
Study Major Dates
Study Start (Actual)
October 6, 2022
Primary Completion (Anticipated)
December 31, 2022
Study Completion (Anticipated)
February 28, 2023
Study Registration Dates
First Submitted
October 5, 2022
First Submitted That Met QC Criteria
October 10, 2022
First Posted (Actual)
October 13, 2022
Study Record Updates
Last Update Posted (Actual)
November 8, 2022
Last Update Submitted That Met QC Criteria
November 7, 2022
Last Verified
November 1, 2022
More Information
Terms related to this study
Additional Relevant MeSH Terms
- Cardiovascular Diseases
- Vascular Diseases
- Immune System Diseases
- Neoplasms by Histologic Type
- Neoplasms
- Lymphoproliferative Disorders
- Immunoproliferative Disorders
- Hematologic Diseases
- Hemorrhagic Disorders
- Hemostatic Disorders
- Paraproteinemias
- Blood Protein Disorders
- Multiple Myeloma
- Neoplasms, Plasma Cell
Other Study ID Numbers
- SNUH-2021-4317
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
NO
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
No
Studies a U.S. FDA-regulated device product
Yes
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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-
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-
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