Pancreas Ultrasound Imaging in type1 Diabetes

Launched by UNIVERSITY OF COLORADO, DENVER · Jul 28, 2022

Keywords

ClinConnect Summary

This clinical trial is investigating a new way to use ultrasound imaging to help detect type 1 diabetes earlier. The researchers will measure the blood flow in the pancreas of people to see if there are differences between those who are healthy and those who have recently developed type 1 diabetes. By using a special contrast agent during the ultrasound, they hope to find out how blood flow in the pancreas changes over time and how it relates to other factors like genetics and blood sugar levels. The goal is to see if this method could eventually help doctors monitor and predict the development of type 1 diabetes.

To participate in this study, you need to be a healthy adult or someone who has recently been diagnosed with type 1 diabetes, aged between 18 and 65 years. You should also be able to give your consent to join the study. Participants will undergo ultrasound scans to measure blood flow in the pancreas, and they may need to provide information about their health and diabetes. It's important to know that individuals with certain medical conditions or those who are pregnant cannot participate. The results of this study could pave the way for larger studies that help improve early detection of type 1 diabetes.

Gender

ALL

Eligibility criteria

• Inclusion Criteria:
• • Male or non-pregnant female age 18-65
• • Ability and willingness of patient to participate fully in all aspects of this clinical study
• • Written informed consent obtained and documented
• Exclusion Criteria:
• • Excessive body size preventing effective scan of the pancreas as determined by sonographer
• • Evidence of exocrine pancreatic disease, including pancreatitis, cystic fibrosis, pancreatic adenocarcinoma, or neuroendocrine tumor.
• • Subjects who are pregnant or breast-feeding
• • Subjects incapable of giving assent/informed written consent
• • Known or suspected hypersensitivity to perflutren
• • Known history or suspected unstable cardiopulmonary conditions (acute myocardial infarction, acute coronary artery syndromes, worsening or unstable congestive heart failure, or serious ventricular arrhythmias)