UMIN-CTR Clinical Trial
| Unique ID issued by UMIN | UMIN000046591 |
|---|---|
| Receipt number | R000053149 |
| Scientific Title | Machine learning analysis of magnetic resonance images of placenta accreta spectrum |
| Date of disclosure of the study information | 2022/01/11 |
| Last modified on | 2022/01/09 11:08:20 |
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Basic information
Public title
Machine learning analysis of magnetic resonance images of placenta accreta spectrum
Acronym
Machine learning analysis of magnetic resonance images of placenta accreta spectrum
Scientific Title
Machine learning analysis of magnetic resonance images of placenta accreta spectrum
Scientific Title:Acronym
Machine learning analysis of magnetic resonance images of placenta accreta spectrum
Region
| Japan |
Condition
Condition
Placenta accreta spectrum
Classification by specialty
| Obstetrics and Gynecology | Radiology | Adult |
Classification by malignancy
Others
Genomic information
NO
Objectives
Narrative objectives1
To evaluate the usefulness of machine learning analysis of placental magnetic resonance (MR) images in assessing the presence of placenta accreta spectrum (PAS).
Basic objectives2
Efficacy
Basic objectives -Others
Trial characteristics_1
Trial characteristics_2
Developmental phase
Assessment
Primary outcomes
The presence of PAS.
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
| 20 | years-old | <= |
Age-upper limit
| Not applicable |
Gender
Female
Key inclusion criteria
Pregnant women referred for placental MR images because of suspicion for PAS.
Key exclusion criteria
Patients who refused to participate in the study.
Patients with poor MR images quality.
Target sample size
220
Research contact person
Name of lead principal investigator
| 1st name | Tomomi |
| Middle name | |
| Last name | Sato |
Organization
Tohoku University Hospital
Division name
Diagnostic Radiology
Zip code
980-8574
Address
1-1 Seiryo, Aoba, Sendai
TEL
022-717-7312
tomomi.sato.e2@tohoku.ac.jp
Public contact
Name of contact person
| 1st name | Tomomi |
| Middle name | |
| Last name | Sato |
Organization
Tohoku University Hospital
Division name
Diagnostic Radiology
Zip code
980-8574
Address
1-1 Seiryo, Aoba, Sendai
TEL
022-717-7312
Homepage URL
tomomi.sato.e2@tohoku.ac.jp
Sponsor or person
Institute
Tohoku University Hospital
Institute
Department
Personal name
Funding Source
Organization
Japan Science and Technology Agency
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
Ethics Committee Tohoku University Hospital
Address
1-1 Seiryo, Aoba, Sendai
Tel
022-728-4105
ec@rinri.hosp.tohoku.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
| 2022 | Year | 01 | Month | 11 | 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
| 2021 | Year | 12 | Month | 27 | Day |
Date of IRB
| 2021 | Year | 12 | Month | 27 | Day |
Anticipated trial start date
| 2022 | Year | 01 | Month | 01 | Day |
Last follow-up date
| 2023 | Year | 12 | Month | 31 | Day |
Date of closure to data entry
Date trial data considered complete
Date analysis concluded
Other
Other related information
Patients referred for placental MRI between January 2004 and December 2021 are included.
Management information
Registered date
| 2022 | Year | 01 | Month | 09 | Day |
Last modified on
| 2022 | Year | 01 | Month | 09 | Day |
Link to view the page
Value
https://center6.umin.ac.jp/cgi-open-bin/ctr_e/ctr_view.cgi?recptno=R000053149
