UMIN-CTR Clinical Trial
| Unique ID issued by UMIN | UMIN000037471 |
|---|---|
| Receipt number | R000042681 |
| Scientific Title | Feasibility of deep learning reconstruction in abdominal CT: Optimization and validation |
| Date of disclosure of the study information | 2020/04/02 |
| Last modified on | 2022/07/26 09:03:08 |
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Basic information
Public title
Feasibility of deep learning reconstruction in abdominal CT: Optimization and validation
Acronym
Feasibility of deep learning reconstruction in abdominal CT: Optimization and validation
Scientific Title
Feasibility of deep learning reconstruction in abdominal CT: Optimization and validation
Scientific Title:Acronym
Feasibility of deep learning reconstruction in abdominal CT: Optimization and validation
Region
| Japan |
Condition
Condition
Patients with abnormal laboratory test results or upper abdominal symptoms that raised suspicions of abdominal malignancy underwent dynamic CT.
Classification by specialty
| Radiology |
Classification by malignancy
Malignancy
Genomic information
NO
Objectives
Narrative objectives1
To investigate whether an iterative reconstruction algorithm and a deep learning reconstruction algorithm improves the image quality in abdominal CT
Basic objectives2
Efficacy
Basic objectives -Others
Trial characteristics_1
Trial characteristics_2
Developmental phase
Assessment
Primary outcomes
Objective assessment of image quality
Key secondary outcomes
Base
Study type
Observational
Study design
Basic design
Randomization
Randomization unit
Blinding
Control
Stratification
Dynamic allocation
Institution consideration
Blocking
Concealment
Intervention
No. of arms
Purpose of intervention
Type of intervention
Interventions/Control_1
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
| 18 | years-old | <= |
Age-upper limit
| 90 | years-old | >= |
Gender
Male and Female
Key inclusion criteria
Our inclusion criteria were history or suspicion of abdominal tumor, such as hepatocellular carcinoma, cholangiocellular carcinoma, hemangioma, or metastatic liver tumor.
Key exclusion criteria
Our exclusion criteria were as follows:emergency case, history of an adverse reaction to iodinated contrast media, proved or suspected pregnancy, and no history of hepatic surgery, TAE, RFA, or renal surgery.
Target sample size
300
Research contact person
Name of lead principal investigator
| 1st name | Akio |
| Middle name | |
| Last name | Tamura |
Organization
Iwate Medical University
Division name
Depertment of Radiology
Zip code
020-8505
Address
19-1, Uchimaru, Morioka
TEL
0196515111
a.akahane@gmail.com
Public contact
Name of contact person
| 1st name | Akio |
| Middle name | |
| Last name | Tamura |
Organization
Iwate Medical University
Division name
Depertment of Radiology
Zip code
020-8505
Address
19-1, Uchimaru, Morioka
TEL
0196515111
Homepage URL
a.akahane@gmail.com
Sponsor or person
Institute
Iwate Medical University
Institute
Department
Personal name
Funding Source
Organization
Iwate Medical University
Organization
Division
Category of Funding Organization
Other
Nationality of Funding Organization
Japan
Other related organizations
Co-sponsor
Name of secondary funder(s)
IRB Contact (For public release)
Organization
Iwate Medical University
Address
19-1, Uchimaru, Morioka
Tel
+81196515111
a.akahane@gmail.com
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
| 2020 | Year | 04 | Month | 02 | 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
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
Enrolling by invitation
Date of protocol fixation
| 2019 | Year | 07 | Month | 24 | Day |
Date of IRB
| 2020 | Year | 10 | Month | 05 | Day |
Anticipated trial start date
| 2020 | Year | 04 | Month | 02 | Day |
Last follow-up date
| 2023 | Year | 04 | Month | 01 | Day |
Date of closure to data entry
Date trial data considered complete
Date analysis concluded
Other
Other related information
none
Management information
Registered date
| 2019 | Year | 07 | Month | 24 | Day |
Last modified on
| 2022 | Year | 07 | Month | 26 | Day |
Link to view the page
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000042681
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| Registered date | File name |
| Research case data | |
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