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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.
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.
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| 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 |
| 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 |
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Inclusion Criteria:
Exclusion Criteria:
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Obese patients with type 2 diabetes who will undergo bariatric surgery (sleeve gastrectomy or Roux-en-Y gastric bypass) and receive abdominal CT scan will be included in the study.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Yuntao Nie, M.D. | Contact | +8618611835860 | nytnyt1231@163.com | |
| Hua Meng, M.D. | Contact | +8618611457779 | menghuade@hotmail.com |
| Name | Affiliation | Role |
|---|---|---|
| Yuntao Nie, M.D. | China-Japan Friendship Hospital | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Yuntao Nie | Recruiting | Beijing | 100029 | China |
Subject information involves medical and personal privacy and access is subject to the consent of the principal investigator.
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| ID | Term |
|---|---|
| D009765 | Obesity |
| D003924 | Diabetes Mellitus, Type 2 |
| ID | Term |
|---|---|
| D050177 | Overweight |
| D044343 | Overnutrition |
| D009748 | Nutrition Disorders |
| D009750 | Nutritional and Metabolic Diseases |
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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 |
| D001835 |
| Body Weight |
| D012816 | Signs and Symptoms |
| D013568 | Pathological Conditions, Signs and Symptoms |
| D003920 | Diabetes Mellitus |
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D004700 | Endocrine System Diseases |