Radiomics of Intra-abdominal and Subcutaneous Adipose Tissue Predict the Efficacy of Bariatric Surgery (RISABS)
Study Overview
Status
Status
Conditions
Conditions
Detailed Description
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Yuntao Nie, M.D.
- Phone Number: +8618611835860
- Email: nytnyt1231@163.com
Study Contact Backup
- Name: Hua Meng, M.D.
- Phone Number: +8618611457779
- Email: menghuade@hotmail.com
Study Locations
-
-
-
Beijing, China, 100029
- Recruiting
- Yuntao Nie
-
Contact:
- Yuntao Nie, M.D.
- Phone Number: +8618611835860
- Email: nytnyt1231@163.com
-
Contact:
- Hua Meng, M.D.
- Phone Number: +8618611457779
- Email: menghuade@hotmail.com
-
Principal Investigator:
- Yuntao Nie, M.D.
-
-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Child
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- BMI>27.5kg/m2; Type 2 diabetes mellitus; Patients who will undergo bariatric surgery
Exclusion Criteria:
- Patients without abdominal CT scan; Patients did not undergo sleeve gastrectomy or Roux-en-Y gastric bypass.
Study Plan
How is the study designed?
Design Details
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Area under curve (AUC) of the weight loss prediction model after 1 year
Time Frame: 1 year
|
This metric shows the discriminatory ability of the radiomic model to predict the probability of inadequate weight loss after 1 year.
|
1 year
|
|
Area under curve (AUC) of the T2DM remission prediction model after 1 year
Time Frame: 1 year
|
This metric shows the discriminatory ability of the radiomic model to predict the probability of remission of T2DM after 1 year.
|
1 year
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Area under curve (AUC) of the weight loss prediction model after 3 years
Time Frame: 3 years
|
This metric shows the discriminatory ability of the radiomic model to predict the probability of inadequate weight loss after 3 years.
|
3 years
|
|
Area under curve (AUC) of the T2DM remission prediction model after 3 years
Time Frame: 3 years
|
This metric shows the discriminatory ability of the radiomic model to predict the probability of remission of T2DM after 3 years.
|
3 years
|
|
Area under curve (AUC) of the weight loss prediction model after 5 years
Time Frame: 5 years
|
This metric shows the discriminatory ability of the radiomic model to predict the probability of inadequate weight loss after 5 years.
|
5 years
|
|
Area under curve (AUC) of the T2DM remission prediction model after 5 years
Time Frame: 5 years
|
This metric shows the discriminatory ability of the radiomic model to predict the probability of remission of T2DM after 5 years.
|
5 years
|
|
Area under curve (AUC) of the weight regain model
Time Frame: 5 years
|
This metric shows the discriminatory ability of the radiomic model to predict the probability of weight regain.
|
5 years
|
|
Area under curve (AUC) of the T2DM relapse model
Time Frame: 5 years
|
This metric shows the discriminatory ability of the radiomic model to predict the probability of T2DM relapse.
|
5 years
|
Collaborators and Investigators
Sponsor
Sponsor
Investigators
Investigators
- Principal Investigator: Yuntao Nie, M.D., China-Japan Friendship Hospital
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- CJBariatric002
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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