Computer-aided therapy for treating insulin resistance and/or restoring glucose homeostasis in a subject in need

Method for computer-aided therapy for treating type 2 diabetes, insulin resistance and/or restoring glucose homeostasis in a subject in need, wherein a main frame is configured for performing the following steps:

• a) receiving a subject profile created during a consultation of the subject by a MD at a first point of care, the subject profile comprising data useful for a therapy and the follow-up of the subject;
• b) receiving a set of images associated with the subject, the set of images have been obtained at a second point of care, the set of images comprising a 3D computed tomography, CT, images of the abdomen of the subject including the pancreatic area and the portal vein of the subject;
• and a set of dynamic 3D positron emission tomography, PET, images of the abdomen after an intra veinous injection of a radiolabeled GLP-1r ligand, PET images comprising the positron imaging of the GLP-1r in the abdomen;
• c) processing the PET and CT images for obtaining a 2D distribution of the quantitative density of the GLP-1r along the portal vein;
• d) identifying a region with lower GLP-1r along the portal vein for which the values of the 2D distribution are less than a given threshold and for which the 2D distribution is less than or equal to a reference value;
• the threshold being based on the distribution of GLP-1r along the portal vein.

System for computer-aided therapy for treating type 2 diabetes, insulin resistance and/or restoring glucose homeostasis in a subject in need, comprising a main frame configured for performing the following steps:

• a) receiving a subject profile created during a consultation of the subject by a MD at a first point of care, the subject profile comprising data useful for a therapy and the follow-up of the subject;
• b) receiving a set of images associated with the subject, the set of images have been obtained at a second point of care, the set of images comprising a 3D computed tomography, CT, images of the abdomen of the subject including the pancreatic area and the portal vein of the subject;
• and a set of dynamic 3D positron emission tomography, PET, images of the abdomen after an intra veinous injection of a radiolabeled GLP-1r ligand, PET images comprising the positron imaging of the GLP-1r in the abdomen, the radiolabeled ligand is binding on GLP-1r;
• c) processing the PET and CT images for obtaining a 2D distribution of the quantitative density of the GLP-1r along the portal vein;
• d) identifying a region with lower GLP-1r along the portal vein for which the values of the 2D distribution are less than a given threshold and for which the 2D distribution is less than or equal to a reference value;
• the threshold being based on the distribution of GLP-1r along the portal vein.