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




Getting Better Visualization of Joint Cartilage through Cationic CT Contrast Agents

By MedImaging International staff writers
Posted on 17 Sep 2009
Print article
In its search to find new ways to treat osteoarthritis and other diseases, a research team has reported finding a new computed tomography (CT) contrast agent for visualizing the special distributions of glycosaminoglycans (GAGs)--the anionic sugars that account for the strength of joint cartilage.

Assessing the local variations in GAGs are of significant interest for the study of cartilage biology and for the diagnosis of cartilage disease such as osteoarthritis, which afflicts more than 27 million in people in the United States.

In the study, published in September 2009 online in the Journal of the American Chemical Society (JACS), researchers from Boston University (BU; Boston, MA, USA) described new contrast agents that selectively bind to the GAGs in articular cartilage. Articular or joint cartilage is the smooth hydrated tissue in the ends of bones in load-bearing joints, such as knees, hips, and shoulders. The loss of GAGs from these joints is the hallmark of osteoarthritis, a degenerative joint disease in which wear or trauma results in damage to the cartilage surface.

To better see the differentiation between healthy and unhealthy cartilage, contrast agents provide the visual tool to evaluate GAG content. However, the current contrast agents used with computer tomography or magnetic resonance imaging (MRI) rely on limited diffusion of the anionic or negative ion-charged contrast agents into the target tissue, the study noted. Therefore, the researchers theorized that cationic contrast agents would be electrostatically attracted to anionic GAGs to provide a more sensitive technique for imaging cartilage. Furthermore, they focused on using the more widely accessible CT equipment because it can image cartilage and bone simultaneously, enable rapid three-dimensional reconstruction of the tissue, and achieve higher spatial resolution over shorter acquisition times compared to MRI systems.

The team synthesized three cationic or positive ion-charged iodine-based X-ray contrast agents. Using the femur of a rabbit, they reported gaining better and more specific images for the cartilage tissue than with current negative ion-charged contrast agents. "Compared to commercially available contrast agents under the same experimental conditions, these new cationic agents are three times more sensitive for imaging cartilage,” said Dr. Mark W. Grinstaff, Boston University professor of chemistry and biomedical engineering who led the team with Brian D. Snyder, M.D., Ph.D., an orthopedic surgeon at Children's Hospital and Harvard Medical School, both based in Boston.

Dr. Snyder noted that the ability to acquire information about localized GAG content, morphology and cartilage thickness on tissue samples will, in the future, aid in the diagnosis and treatment of osteoarthritis. Moreover, while the data presented a convincing case for continued development of cationic CT contrast agents, the researchers cautioned that the suitability for in vivo applications remains to be determined, adding that toxicity levels and radiation dosage will be the focus of future studies.

"However, the ability to characterize ex vivo cartilage samples is clearly evident,” the study authors concluded. "Currently obtaining data about the spatial distribution of biochemical components in tissue samples is largely accomplished using histology, which is destructive and time consuming, and thus the use of contrast agents in conjunction with CT imaging will result in readily available, nondestructive alternative to histology.”

Related Links:
Boston University



Radiation Therapy Treatment Software Application
Elekta ONE
New
Ultrasound Needle Guide
Ultra-Pro 3
Radiology Software
DxWorks
Computed Tomography System
Aquilion ONE / INSIGHT Edition

Print article

Channels

Ultrasound

view channel
Image: Ultrasound detection of vascular changes post-RT corresponds to shifts in the immune microenvironment (Photo courtesy of Theranostics, DOI:10.7150/thno.97759)

Ultrasound Imaging Non-Invasively Tracks Tumor Response to Radiation and Immunotherapy

While immunotherapy holds promise in the fight against triple-negative breast cancer, many patients fail to respond to current treatments. A major challenge has been predicting and monitoring how individual... Read more

Nuclear Medicine

view channel
Image: [18F]3F4AP in a human subject after mild incomplete spinal cord injury (Photo courtesy of The Journal of Nuclear Medicine, DOI:10.2967/jnumed.124.268242)

Novel PET Technique Visualizes Spinal Cord Injuries to Predict Recovery

Each year, around 18,000 individuals in the United States experience spinal cord injuries, leading to severe mobility loss that often results in a lifelong battle to regain independence and improve quality of life.... Read more

General/Advanced Imaging

view channel
Image: This image presents heatmaps highlighting the areas LILAC focuses on when making predictions (Photo courtesy of Dr. Heejong Kim/Weill Cornell Medicine)

AI System Detects Subtle Changes in Series of Medical Images Over Time

Traditional approaches for analyzing longitudinal image datasets typically require significant customization and extensive pre-processing. For instance, in studies of the brain, researchers often begin... 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.