Intravascular Ultrasound for Kidney Failure
(IVUS in ESRD Trial)
What You Need to Know Before You Apply
What is the purpose of this trial?
This trial explores a new method to detect central venous stenosis (CVS), a condition affecting individuals on hemodialysis for kidney failure. CVS occurs when dialysis catheters damage veins, potentially reducing dialysis effectiveness. Researchers compare intravascular ultrasound (IVUS), which uses sound waves to image veins, with the standard venography method. Suitable candidates for this trial have kidney failure, receive dialysis, and experience issues with their dialysis access at Boston Medical Center. As an unphased trial, this study provides a unique opportunity to contribute to innovative research that could enhance dialysis care.
Will I have to stop taking my current medications?
The trial information does not specify whether you need to stop taking your current medications.
What prior data suggests that intravascular ultrasound is safe for diagnosing central venous stenosis?
Research has shown that intravascular ultrasound (IVUS) is generally safe for patients. In several studies, procedures using IVUS proved effective and posed a low risk of harm. For example, one study found that using IVUS in patients with kidney disease was safe and did not lead to heart or kidney problems. Another study demonstrated that IVUS could be used safely without contrast dye, which is often used in imaging but can be risky for some patients. Overall, these findings suggest that IVUS is well-tolerated and safe for people with kidney-related conditions.12345
Why are researchers excited about this trial?
Researchers are excited about using intravascular ultrasound (IVUS) and venography for kidney failure because these techniques provide a detailed view inside blood vessels, which is not possible with standard imaging methods like CT scans or MRIs. Unlike traditional treatments that focus more on managing symptoms or dialysis, IVUS offers real-time, precise images that help doctors understand the condition of the blood vessels leading to the kidneys. This potentially allows for earlier intervention and better individualized treatment strategies, which could significantly improve patient outcomes. Moreover, the use of image processing alongside IVUS helps in enhancing the accuracy of the diagnosis and treatment planning.
What evidence suggests that intravascular ultrasound is effective for central venous stenosis?
Studies have shown that intravascular ultrasound (IVUS) greatly aids in guiding treatments inside blood vessels. Compared to venography, IVUS provides clearer images, leading to better treatment decisions. This is particularly beneficial for patients with kidney problems, as IVUS uses little to no contrast dye, which can harm the kidneys. Research indicates that IVUS can be effective without causing additional issues for the heart or kidneys. In this trial, participants in the IVUS and venography group will receive both IVUS and venography, along with image processing, to identify vein problems like central venous stenosis (CVS) in patients undergoing hemodialysis.12367
Who Is on the Research Team?
Vipul Chitalia, MD PhD
Principal Investigator
Boston Medical Center
Are You a Good Fit for This Trial?
This trial is for patients with end-stage renal disease on hemodialysis at Boston Medical Center who are experiencing dialysis access malfunctions and require a diagnostic fistulogram.Inclusion Criteria
Exclusion Criteria
Timeline for a Trial Participant
Screening
Participants are screened for eligibility to participate in the trial
Treatment
Participants receive venography/fistulogram, intravascular ultrasound (IVUS), and image processing
Follow-up
Participants are monitored for safety and effectiveness after treatment
What Are the Treatments Tested in This Trial?
Interventions
- Image processing
- Intravascular ultrasound (IVUS)
- Venography
Find a Clinic Near You
Who Is Running the Clinical Trial?
Boston Medical Center
Lead Sponsor
National Institute of Diabetes and Digestive and Kidney Diseases (NIDDK)
Collaborator