We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

Features Partner Sites Information LinkXpress hp
Sign In
Advertise with Us
GLOBETECH PUBLISHING LLC

Download Mobile App




Ultrasound-Activated Microstructures Clean Implanted Stents and Catheters

By MedImaging International staff writers
Posted on 13 May 2025
Print article
Image: The surface of the stents and catheters is coated with cilia. Ultrasound can then be used to efficiently remove biofilms and encrustations (Photo courtesy of Amado P, Dillinger C et al. PNAS 2025, modified)
Image: The surface of the stents and catheters is coated with cilia. Ultrasound can then be used to efficiently remove biofilms and encrustations (Photo courtesy of Amado P, Dillinger C et al. PNAS 2025, modified)

Urinary stents and catheters are medical devices commonly used in both human and veterinary medicine to facilitate the drainage of urine to or from the bladder. Ureteral stents are specifically employed when the ureter—the tube connecting the kidney to the bladder—becomes obstructed due to conditions such as tumors, pregnancy, kidney stones, or anatomical narrowing. After implantation, bacterial biofilms and crystalline deposits, known as encrustations, begin to form on the surfaces of these devices. These biofilms and encrustations are major contributors to the failure of urinary stents and catheters, leading to blockages, infections, and considerable pain. To prevent such issues, stents and catheters generally need to be replaced every two to six months. This frequent replacement not only impacts the quality of life for patients but also contributes to high healthcare costs and places a strain on hospital resources. Now, researchers have developed a non-invasive cleaning method that could reduce the frequency of stent replacements, minimize infection risks, and ease the burden on patients and healthcare systems.

In a new study, an interdisciplinary team, including researchers from ETH Zurich (Zurich, Switzerland), recreated the conditions and structure of stented ureters and demonstrated that ultrasound-activated artificial cilia on the stent surfaces can effectively remove both biofilms and encrustations. The researchers envision incorporating cilia on both the inner and outer walls of future medical devices. These cilia, activated by ultrasound through the skin, would create an efficient streaming motion that loosens bacteria and crystal formations from the stent surfaces, allowing them to be flushed away. This non-invasive cleaning process significantly reduces the risks of obstruction. The findings, published in PNAS, showed that ultrasound waves alone produce minimal streaming when they strike smooth surfaces. However, when the surface contains micro-structures like cilia, a highly efficient form of streaming—known as acoustic streaming—was created.

The results from the microfluidics experiments far exceeded the researchers’ expectations. In every test, typical biofilms and encrustations found in urinary stents and catheters were removed within seconds or minutes using this technology. The potential applications for this technology extend beyond urology, with potential uses in areas such as visceral surgery and veterinary medicine, where cleaning implanted devices is also crucial. Non-invasive ultrasonic cleaning could reduce the need for repeated invasive procedures, significantly improving patient quality of life and lowering the number of outpatient visits. The promising results of this feasibility study set the stage for the next step—developing a prototype that will be tested in animal models.

Ultrasound Imaging System
P12 Elite
X-ray Diagnostic System
FDX Visionary-A
Computed Tomography System
Aquilion ONE / INSIGHT Edition
X-Ray Illuminator
X-Ray Viewbox Illuminators

Print article

Channels

Radiography

view channel
Image: The new machine algorithm can identify cardiovascular risk at the click of a button (Photo courtesy of Adobe Stock)

Machine Learning Algorithm Identifies Cardiovascular Risk from Routine Bone Density Scans

A new study published in the Journal of Bone and Mineral Research reveals that an automated machine learning program can predict the risk of cardiovascular events and falls or fractures by analyzing bone... Read more

MRI

view channel
Image: In brains of control mice (left) and PD mice (right), from bottom to top: neuronal activity in a representative animal (Photo courtesy of Ruxanda Lungu/FC)

Simple Brain Scan Diagnoses Parkinson's Disease Years Before It Becomes Untreatable

Parkinson's disease (PD) remains a challenging condition to treat, with no known cure. Though therapies have improved over time, and ongoing research focuses on methods to slow or alter the disease’s progression,... Read more

Nuclear Medicine

view channel
Image: In vivo imaging of U-87 MG xenograft model with varying mass doses of 89Zr-labeled KLG-3 or isotype control (Photo courtesy of L Gajecki et al.; doi.org/10.2967/jnumed.124.268762)

Novel Radiolabeled Antibody Improves Diagnosis and Treatment of Solid Tumors

Interleukin-13 receptor α-2 (IL13Rα2) is a cell surface receptor commonly found in solid tumors such as glioblastoma, melanoma, and breast cancer. It is minimally expressed in normal tissues, making it... Read more

Imaging IT

view channel
Image: The new Medical Imaging Suite makes healthcare imaging data more accessible, interoperable and useful (Photo courtesy of Google Cloud)

New Google Cloud Medical Imaging Suite Makes Imaging Healthcare Data More Accessible

Medical imaging is a critical tool used to diagnose patients, and there are billions of medical images scanned globally each year. Imaging data accounts for about 90% of all healthcare data1 and, until... Read more
Copyright © 2000-2025 Globetech Media. All rights reserved.