UMIN-ICDS Clinical Trial
| Unique ID issued by UMIN | UMIN000031333 |
|---|---|
| Receipt number | R000035639 |
| Scientific Title | Construction of diagnostic support system using artificial intelligence by community collaboration, medical and engineering cooperation |
| Date of disclosure of the study information | 2018/02/19 |
| Last modified on | 2021/02/18 11:32:29 |
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Basic information
Public title
Construction of diagnostic support system using artificial intelligence by community collaboration, medical and engineering cooperation
Acronym
Construction of diagnostic support system with artificial intelligence by community and medical engineering collaboration
Scientific Title
Construction of diagnostic support system using artificial intelligence by community collaboration, medical and engineering cooperation
Scientific Title:Acronym
Construction of diagnostic support system with artificial intelligence by community and medical engineering collaboration
Region
| Japan |
Condition
Condition
Malignant tumor
Classification by specialty
| Radiology | Adult |
Classification by malignancy
Malignancy
Genomic information
NO
Objectives
Narrative objectives1
We aim to develop a simple and more accurate diagnosis support system by applying Deep Learning method of artificial intelligence Convolution Neural Network (CNN) to image and patient information.
Basic objectives2
Efficacy
Basic objectives -Others
Trial characteristics_1
Trial characteristics_2
Developmental phase
Assessment
Primary outcomes
accuracy
Key secondary outcomes
Specificity
Sensitivity
Agreement of abnormal lesion
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
| Not applicable |
Age-upper limit
| Not applicable |
Gender
Male and Female
Key inclusion criteria
The case that performed CT, MRI, radioisotope examination by inspection about iamge diagnosis from December 1, 2012 to November 30, 2017 for the past 5 years in the medical facilities of the coworker, and performed normalcy and an abnormality definitive diagnosis.
Key exclusion criteria
The case that do not save with DICOM format.
Target sample size
10000
Research contact person
Name of lead principal investigator
| 1st name | Akihiro |
| Middle name | |
| Last name | Kikuchi |
Organization
Hokkaido University of Science
Division name
Department of Radiological Technology Faculty of Health Sciences,
Zip code
0068585
Address
Maeda 7-15-4-1, Teina, Sapporo, Hokkaido
TEL
09087050691
kikuchi-a@hus.ac.jp
Public contact
Name of contact person
| 1st name | Akihiro |
| Middle name | |
| Last name | Kikuchi |
Organization
Hokkaido University of Science
Division name
Department of Radiological Technology Faculty of Health Sciences,
Zip code
0068585
Address
Maeda 7-15-4-1, Teina, Sapporo, Hokkaido
TEL
09087050691
Homepage URL
kikuchi-a@hus.ac.jp
Sponsor or person
Institute
Hokkaido University of Science
Institute
Department
Personal name
Funding Source
Organization
Hokkaido University of Science
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
Hokkaido University of Science
Address
Maeda 7-15-4-1, Teina, Sapporo, Hokkaido
Tel
011-688-2382
kikuchi-a@hus.ac.jp
Secondary IDs
Secondary IDs
YES
Study ID_1
2017-1
Org. issuing International ID_1
Hokkaido Ono Memorial Hospital
Study ID_2
Org. issuing International ID_2
IND to MHLW
Institutions
Institutions
Other administrative information
Date of disclosure of the study information
| 2018 | Year | 02 | Month | 19 | 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
| 2018 | Year | 02 | Month | 13 | Day |
Date of IRB
| 2018 | Year | 02 | Month | 18 | Day |
Anticipated trial start date
| 2018 | Year | 02 | Month | 19 | Day |
Last follow-up date
| 2022 | Year | 03 | Month | 31 | Day |
Date of closure to data entry
Date trial data considered complete
Date analysis concluded
Other
Other related information
Even if it does not reach the target registration number, it will end at that point.
Management information
Registered date
| 2018 | Year | 02 | Month | 16 | Day |
Last modified on
| 2021 | Year | 02 | Month | 18 | Day |
Link to view the page
Value
https://center6.umin.ac.jp/cgi-open-bin/icdr_e/ctr_view.cgi?recptno=R000035639
| Research Plan | |
|---|---|
| Registered date | File name |
| Research case data specifications | |
|---|---|
| Registered date | File name |
| Research case data | |
|---|---|
| Registered date | File name |
