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Name:
UMIN ID:

Recruitment status Preinitiation
Unique ID issued by UMIN UMIN000030721
Receipt No. R000035076
Scientific Title Automatic detection of acute brain infarction
Date of disclosure of the study information 2018/03/01
Last modified on 2018/01/08

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Basic information
Public title Automatic detection of acute brain infarction
Acronym Automatic detection of acute brain infarction
Scientific Title Automatic detection of acute brain infarction
Scientific Title:Acronym Automatic detection of acute brain infarction
Region
Japan

Condition
Condition acute brain infarction
Classification by specialty
Neurology Radiology Neurosurgery
Emergency medicine Adult
Classification by malignancy Others
Genomic information NO

Objectives
Narrative objectives1 To detect abnormal signal intensity on diffusion weighted images of brain MRI by using statistical approach
Basic objectives2 Efficacy
Basic objectives -Others
Trial characteristics_1
Trial characteristics_2
Developmental phase

Assessment
Primary outcomes Detection of abnormal signal intensity on DWI
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

Not applicable
Age-upper limit

Not applicable
Gender Male and Female
Key inclusion criteria Patients who underwent brain DWI
Key exclusion criteria Images with severe artifacts
Target sample size 1000

Research contact person
Name of lead principal investigator
1st name
Middle name
Last name Kaori Togashi
Organization Kyoto University Graduate School of Medicine
Division name Department of Diagnostic Imaging and Nuclear Medicine
Zip code
Address 54 Shogoin Kawaharacho, Sakyoku, Kyoto JAPAN
TEL 075-751-3760
Email nmdioffice@kuhp.kyoto-u.ac.jp

Public contact
Name of contact person
1st name
Middle name
Last name Yasutaka Fushimi
Organization Kyoto University Graduate School of Medicine
Division name Department of Diagnostic Imaging and Nuclear Medicine
Zip code
Address 54 Shogoin Kawaharacho, Sakyoku, Kyoto JAPAN
TEL 075-751-3760
Homepage URL
Email yfushimi@kuhp.kyoto-u.ac.jp

Sponsor
Institute Kyoto University
Institute
Department

Funding Source
Organization Ministry of Education, Culture, Sports, Science and Technology
Organization
Division
Category of Funding Organization Japanese Governmental office
Nationality of Funding Organization

Other related organizations
Co-sponsor
Name of secondary funder(s)

IRB Contact (For public release)
Organization
Address
Tel
Email

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
2018 Year 03 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
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 Preinitiation
Date of protocol fixation
2018 Year 01 Month 01 Day
Date of IRB
Anticipated trial start date
2018 Year 03 Month 01 Day
Last follow-up date
Date of closure to data entry
Date trial data considered complete
Date analysis concluded

Other
Other related information N/A

Management information
Registered date
2018 Year 01 Month 08 Day
Last modified on
2018 Year 01 Month 08 Day


Link to view the page
URL(English) https://upload.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000035076

Research Plan
Registered date File name

Research case data specifications
Registered date File name

Research case data
Registered date File name


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