UMIN-CTR Clinical Trial
| Unique ID issued by UMIN | UMIN000052031 |
|---|---|
| Receipt number | R000059390 |
| Scientific Title | Image quality evaluation of MRI images by denoising reconstruction technology using deep learning |
| Date of disclosure of the study information | 2023/09/01 |
| Last modified on | 2025/02/27 09:38:09 |
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Basic information
Public title
Image quality evaluation of MRI images by denoising reconstruction technology using deep learning
Acronym
Image quality evaluation of MRI images by denoising reconstruction technology using deep learning
Scientific Title
Image quality evaluation of MRI images by denoising reconstruction technology using deep learning
Scientific Title:Acronym
Image quality evaluation of MRI images by denoising reconstruction technology using deep learning
Region
| Japan |
Condition
Condition
volunteer
Classification by specialty
| Adult |
Classification by malignancy
Others
Genomic information
NO
Objectives
Narrative objectives1
The purpose is to demonstrate the effectiveness of denoising reconstruction technology (image processing) using deep learning in Canon's MRI equipment. By comparing images obtained under conventional imaging conditions and image processing conditions, we aim to improve inspection accuracy and shorten inspection time.
Basic objectives2
Efficacy
Basic objectives -Others
Trial characteristics_1
Trial characteristics_2
Developmental phase
Assessment
Primary outcomes
It is expected to reduce inspection time while maintaining the same image quality as conventional imaging conditions, improve image quality by improving resolution, and reduce motion artifacts.
Key secondary outcomes
Base
Study type
Interventional
Study design
Basic design
Single arm
Randomization
Non-randomized
Randomization unit
Blinding
Open -no one is blinded
Control
Uncontrolled
Stratification
Dynamic allocation
Institution consideration
Blocking
Concealment
Intervention
No. of arms
1
Purpose of intervention
Diagnosis
Type of intervention
| Device,equipment |
Interventions/Control_1
Participation period is only at the time of MRI imaging. MRI takes about 15 minutes.
Interventions/Control_2
Interventions/Control_3
Interventions/Control_4
Interventions/Control_5
Interventions/Control_6
Interventions/Control_7
Interventions/Control_8
Interventions/Control_9
Interventions/Control_10
Eligibility
Age-lower limit
| 20 | years-old | <= |
Age-upper limit
| 65 | years-old | >= |
Gender
Male and Female
Key inclusion criteria
Health volunteers over 20 years old
There should be no history of disease or trauma requiring treatment such as surgery within the image area.
Key exclusion criteria
1) People with pacemakers or tattoos that are contraindicated for MR examinations
2) Pregnant women
3) People with claustrophobia
Target sample size
30
Research contact person
Name of lead principal investigator
| 1st name | yuki |
| Middle name | |
| Last name | deguchi |
Organization
St.Marianna University Hospital
Division name
Department of Radiological Technology
Zip code
2168511
Address
2-16-1 Sugao, Miyamae Ward, Kawasaki City, Kanagawa Prefecture
TEL
0449778111
y.deguchi0418@marianna-u.ac.jp
Public contact
Name of contact person
| 1st name | yuki |
| Middle name | |
| Last name | deguchi |
Organization
St.Marianna University Hospital
Division name
Department of Radiological Technology
Zip code
2168511
Address
2-16-1 Sugao, Miyamae Ward, Kawasaki City, Kanagawa Prefecture
TEL
0449778111
Homepage URL
y.deguchi0418@marianna-u.ac.jp
Sponsor or person
Institute
St.Marianna University Hospital
Department of Radiological Technology
Institute
Department
Personal name
Funding Source
Organization
St.Marianna University Hospital
Department of Radiological Technology
Organization
Division
Category of Funding Organization
Other
Nationality of Funding Organization
Other related organizations
Co-sponsor
Name of secondary funder(s)
IRB Contact (For public release)
Organization
St.Marianna University Hospital
Address
2-16-1 Sugao, Miyamae Ward, Kawasaki City, Kanagawa Prefecture
Tel
0449778111
y.deguchi0418@marianna-u.ac.jp
Secondary IDs
Secondary IDs
NO
Study ID_1
Org. issuing International ID_1
Study ID_2
Org. issuing International ID_2
IND to MHLW
Institutions
Institutions
Other administrative information
Date of disclosure of the study information
| 2023 | Year | 09 | Month | 01 | Day |
Related information
URL releasing protocol
Publication of results
Unpublished
Result
URL related to results and publications
Number of participants that the trial has enrolled
20
Results
Results date posted
Results Delayed
Results Delay Reason
Date of the first journal publication of results
Baseline Characteristics
Participant flow
Adverse events
Outcome measures
Plan to share IPD
IPD sharing Plan description
Progress
Recruitment status
Completed
Date of protocol fixation
| 2023 | Year | 08 | Month | 28 | Day |
Date of IRB
| 2023 | Year | 08 | Month | 21 | Day |
Anticipated trial start date
| 2023 | Year | 09 | Month | 01 | Day |
Last follow-up date
| 2026 | Year | 03 | Month | 31 | Day |
Date of closure to data entry
Date trial data considered complete
Date analysis concluded
Other
Other related information
Management information
Registered date
| 2023 | Year | 08 | Month | 28 | Day |
Last modified on
| 2025 | Year | 02 | Month | 27 | Day |
Link to view the page
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000059390
