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.
Study Type
OBSERVATIONAL
Enrollment
800
Yuntao Nie
Beijing, China
RECRUITINGArea 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.
Time frame: 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.
Time frame: 1 year
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.
Time frame: 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.
Time frame: 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.
Time frame: 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.
Time frame: 5 years
Area under curve (AUC) of the weight regain model
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This metric shows the discriminatory ability of the radiomic model to predict the probability of weight regain.
Time frame: 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.
Time frame: 5 years