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
ARAB HEALTH - INFORMA

Download Mobile App




Events

27 Jan 2025 - 30 Jan 2025
15 Feb 2025 - 17 Feb 2025

Antibacterial ‘Smart Stitches’ Reveal Location of Sutured Area in CT Scans

By HospiMedica International staff writers
Posted on 10 Feb 2023
Print article
Image: The filament visible in chicken samples, as seen under CT scan (Photo courtesy of RMIT University)
Image: The filament visible in chicken samples, as seen under CT scan (Photo courtesy of RMIT University)

Surgical site infections are among the most common medical infections and occur in 2 to 4% of patients following surgery, although the infection rate can be much higher for some procedures, such as vaginal mesh implants to treat prolapse, infection. Now, a new antimicrobial suture material that glows in medical imaging offers a promising alternative for mesh implants and internal stitches.

A multidisciplinary research team led by RMIT University (Melbourne, Australia) that included nano-engineering, biomedical and textile experts working in partnership with a practicing surgeon has developed the proof-of-concept material. In lab tests conducted by the team, the surgical filament threaded through samples of chicken meat was easily visible in CT scans, even after three weeks. The surgical filament also demonstrated strong antimicrobial properties by killing 99% of highly drug-resistant bacteria after six hours at body temperature.

The suture gains its properties from the combination of iodine and tiny nanoparticles, called carbon dots, throughout the material. Carbon dots are inherently fluorescent, due to their particular wavelength, but can also be tuned to different levels of luminosity that easily stand out from surrounding tissue in medical imaging. By attaching iodine to these carbon dots, they gain strong antimicrobial properties and greater X-ray visibility.

According to the researchers, carbon nano dots are safe, cheap and easy to produce in the lab from natural ingredients. The researchers believe that it addresses a serious challenge faced by surgeons in attempting to identify the precise anatomical location of internal meshes on CT scans. The researchers will now conduct pre-clinical trials for which they will produce larger suture samples.

“Our smart surgical sutures can play an important role in preventing infection and monitoring patient recovery and the proof-of-concept material we’ve developed has several important properties that make it an exciting candidate for this,” said Dr. Shadi Houshyar, study lead author and Vice Chancellor’s Senior Research Fellow from RMIT University’s School of Engineering.

“This mesh will enable us to help with improved identification of the causes of symptoms, reduce the incidence of mesh infections and will help with precise preoperative planning, if there is a need to surgically remove this mesh,” said consultant colorectal surgeon and Professor of Surgery at the University of Melbourne, Justin Yeung, who was involved in the study. “It has the potential to improve surgery outcomes and improve quality of life for a huge proportion of women, if used as vaginal mesh for example, by reducing the need for infected mesh removal. It may also significantly reduce surgery duration and increase surgical accuracy in general through the ability to visualize mesh location accurately on preoperative imaging.”

Related Links:
RMIT University

Gold Member
STI Test
Vivalytic Sexually Transmitted Infection (STI) Array
Gold Member
Real-Time Diagnostics Onscreen Viewer
GEMweb Live
New
Electric Cast Saw
CC4 System
New
Plasma Freezer
iBF125-GX

Print article

Channels

Patient Care

view channel
Image: The portable biosensor platform uses printed electrochemical sensors for the rapid, selective detection of Staphylococcus aureus (Photo courtesy of AIMPLAS)

Portable Biosensor Platform to Reduce Hospital-Acquired Infections

Approximately 4 million patients in the European Union acquire healthcare-associated infections (HAIs) or nosocomial infections each year, with around 37,000 deaths directly resulting from these infections,... Read more

Health IT

view channel
Image: First ever institution-specific model provides significant performance advantage over current population-derived models (Photo courtesy of Mount Sinai)

Machine Learning Model Improves Mortality Risk Prediction for Cardiac Surgery Patients

Machine learning algorithms have been deployed to create predictive models in various medical fields, with some demonstrating improved outcomes compared to their standard-of-care counterparts.... Read more

Point of Care

view channel
Image: The acoustic pipette uses sound waves to test for biomarkers in blood (Photo courtesy of Patrick Campbell/CU Boulder)

Handheld, Sound-Based Diagnostic System Delivers Bedside Blood Test Results in An Hour

Patients who go to a doctor for a blood test often have to contend with a needle and syringe, followed by a long wait—sometimes hours or even days—for lab results. Scientists have been working hard to... Read more
Copyright © 2000-2024 Globetech Media. All rights reserved.