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NCT Number: NCT06169033

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

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.

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Key information

Conditions

Obesity Bariatric Surgery Body Weight Diabetes Mellitus Diabetes Mellitus, Type 2 Endocrine System Diseases Glucose Metabolism Disorders Metabolic Diseases Nutrition Disorders Nutritional and Metabolic Diseases Overnutrition Overweight Pathological Conditions, Signs and Symptoms Signs and Symptoms Type 2 Diabetes Mellitus

Age range

16 year–70 year

Sex eligibility

All sexes

Study type

Observational

Primary location

About this study

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.

Who can participate

Only the study team can determine whether someone qualifies for participation.

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.

Treatment and study plan

Primary outcomes

  1. 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.

  2. 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.

Secondary outcomes

  1. 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.

  2. 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. 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.

  4. 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. 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.

  6. 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.

Study contacts

Contact information is provided by the study sponsor or research team.

Hua Meng, M.D.

CONTACT

[email protected]

+8618611457779

Yuntao Nie, M.D.

CONTACT

[email protected]

+8618611835860

Sponsors and collaborators

Lead sponsor

China-Japan Friendship Hospital

Other

Registry information

Important dates

Study start
2024
Primary completion
2026
Study completion
2027
First posted
Dec 13, 2023
Registry last updated
Aug 3, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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