Radiomics of Intra-abdominal and Subcutaneous Adipose Tissue Predict the Efficacy of Bariatric Surgery (RISABS)

Study Overview
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Brief Summary
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Using radiomics of intra-abdominal and subcutaneous adipose tissue and clinical features to predict the weight loss efficacy and remission of type 2 diabetes mellitus after bariatric surgery.

Detailed Description
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In this study, the investigator intend to collect abdominal CT from patients who are proposed to undergo bariatric surgery, to extract the radiomics of intra-abdominal fat and subcutaneous fat, and to establish a prediction model for predicting the efficacy of weight loss and remission of type 2 diabetes mellitus at 1 year, 3 years, and 5 years postoperatively, in conjunction with the clinical data.

Official Title
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Radiomics of Intra-abdominal and Subcutaneous Adipose Tissue Predict the Efficacy of Bariatric Surgery (RISABS)

Conditions
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Obesity, Type 2 Diabetes Mellitus, Bariatric Surgery

Participation Criteria
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Eligibility Criteria
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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.

Ages Eligible for Study
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Minimum Age: 16 Years
Maximum Age: 70 Years

Sexes Eligible for Study
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All

Study Plan
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How is the study designed?
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What is the study measuring?
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Primary Outcome Measures

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Area under curve (AUC) of the weight loss prediction model after 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 | 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

| Outcome Measure | Measure Description | Time Frame |
| --- | --- | --- |
| Area under curve (AUC) of the weight loss prediction model after 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 | 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 | 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 | 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 | 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 | This metric shows the discriminatory ability of the radiomic model to predict the probability of T2DM relapse. | 5 years | 

 Terms related to the study
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Keywords Provided by Centre Hospitalier Valida
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Obesity, Type 2 Diabetes Mellitus, Radiomics, Abdominal adipose, Subcutaneous adipose, Prediction model