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

Status

Recruiting

Phases

Unknown

Study type

Observational

Source

ClinicalTrials.gov

Registry ID

NCT06169033

Enrollment

800

Registered

2023-12-13

Start date

2024-01-01

Completion date

2027-12-31

Last updated

2025-08-03

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Bariatric Surgery, Obesity, Type 2 Diabetes Mellitus

Keywords

Obesity, Type 2 Diabetes Mellitus, Radiomics, Abdominal adipose, Subcutaneous adipose, Prediction model

Brief summary

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

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.

Interventions

None listed

Study design

Observational model

COHORT

Time perspective

PROSPECTIVE

Eligibility

Sex/Gender

ALL

Age

16 Years to 70 Years

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.

Design outcomes

Primary

Measure	Time frame	Description
Area under curve (AUC) of the weight loss prediction model after 1 year	1 year	This metric shows the discriminatory ability of the radiomic model to predict the probability of inadequate weight loss after 1 year.
Area under curve (AUC) of the T2DM remission prediction model after 1 year	1 year	This metric shows the discriminatory ability of the radiomic model to predict the probability of remission of T2DM after 1 year.

Secondary

Measure	Time frame	Description
Area under curve (AUC) of the weight loss prediction model after 5 years	5 years	This metric shows the discriminatory ability of the radiomic model to predict the probability of inadequate weight loss after 5 years.
Area under curve (AUC) of the T2DM remission prediction model after 5 years	5 years	This metric shows the discriminatory ability of the radiomic model to predict the probability of remission of T2DM after 5 years.
Area under curve (AUC) of the weight loss prediction model after 3 years	3 years	This metric shows the discriminatory ability of the radiomic model to predict the probability of inadequate weight loss after 3 years.
Area under curve (AUC) of the T2DM relapse model	5 years	This metric shows the discriminatory ability of the radiomic model to predict the probability of T2DM relapse.
Area under curve (AUC) of the weight regain model	5 years	This metric shows the discriminatory ability of the radiomic model to predict the probability of weight regain.
Area under curve (AUC) of the T2DM remission prediction model after 3 years	3 years	This metric shows the discriminatory ability of the radiomic model to predict the probability of remission of T2DM after 3 years.

Countries

China

Contacts

Primary ContactYuntao Nie, M.D.

nytnyt1231@163.com+8618611835860

Backup ContactHua Meng, M.D.

menghuade@hotmail.com+8618611457779

Outcome results