Researchers Investigate Cause of Contrast Agent Deposits in MS Patients
By MedImaging International staff writers Posted on 20 Dec 2016 |

Image: A comparison of MRI exams carried out with and without gadolinium-based contrast agents (Photo courtesy of Radiology Journal).
The results of a new study involving multiple sclerosis patients, show how performing repeated MRI scans on the patients with gadolinium-based contrast agents leads to the deposition of the agents in the brains of the scanning subjects.
The researchers from the Charité - Universitätsmedizin Berlin (Berlin, Germany) and the Max Delbrück Center for Molecular Medicine (Berlin, Germany) compared the use of linear and macrocyclic gadolinium-based MRI contrast agents, and how their use led to the deposition of the agents in multiple sclerosis patients’ brains.
The results of the study, published in the December 2016 issue of the journal Multiple Sclerosis, suggest that the use of 'macrocylcic contrast agents' reduces the risk of accumulation of the agents in the brain.
Study leader PD Dr. Michael Scheel, said, "Patients who received a different type of MRI contrast agent - one that is referred to as a macrocyclic contrast agent - showed no evidence of gadolinium brain deposition. Available data currently suggest that the risk of deposits is considerably higher with contrast agents that have a linear molecular structure. This effect appears to be absent, or much reduced, when using contrast agents with a ring-shaped, macrocyclic structure."
Related Links:
Charité - Universitätsmedizin Berlin
Max Delbrück Center for Molecular Medicine
The researchers from the Charité - Universitätsmedizin Berlin (Berlin, Germany) and the Max Delbrück Center for Molecular Medicine (Berlin, Germany) compared the use of linear and macrocyclic gadolinium-based MRI contrast agents, and how their use led to the deposition of the agents in multiple sclerosis patients’ brains.
The results of the study, published in the December 2016 issue of the journal Multiple Sclerosis, suggest that the use of 'macrocylcic contrast agents' reduces the risk of accumulation of the agents in the brain.
Study leader PD Dr. Michael Scheel, said, "Patients who received a different type of MRI contrast agent - one that is referred to as a macrocyclic contrast agent - showed no evidence of gadolinium brain deposition. Available data currently suggest that the risk of deposits is considerably higher with contrast agents that have a linear molecular structure. This effect appears to be absent, or much reduced, when using contrast agents with a ring-shaped, macrocyclic structure."
Related Links:
Charité - Universitätsmedizin Berlin
Max Delbrück Center for Molecular Medicine
Latest MRI News
- AI Tool Tracks Effectiveness of Multiple Sclerosis Treatments Using Brain MRI Scans
- Ultra-Powerful MRI Scans Enable Life-Changing Surgery in Treatment-Resistant Epileptic Patients
- AI-Powered MRI Technology Improves Parkinson’s Diagnoses
- Biparametric MRI Combined with AI Enhances Detection of Clinically Significant Prostate Cancer
- First-Of-Its-Kind AI-Driven Brain Imaging Platform to Better Guide Stroke Treatment Options
- New Model Improves Comparison of MRIs Taken at Different Institutions
- Groundbreaking New Scanner Sees 'Previously Undetectable' Cancer Spread
- First-Of-Its-Kind Tool Analyzes MRI Scans to Measure Brain Aging
- AI-Enhanced MRI Images Make Cancerous Breast Tissue Glow
- AI Model Automatically Segments MRI Images
- New Research Supports Routine Brain MRI Screening in Asymptomatic Late-Stage Breast Cancer Patients
- Revolutionary Portable Device Performs Rapid MRI-Based Stroke Imaging at Patient's Bedside
- AI Predicts After-Effects of Brain Tumor Surgery from MRI Scans
- MRI-First Strategy for Prostate Cancer Detection Proven Safe
- First-Of-Its-Kind 10' x 48' Mobile MRI Scanner Transforms User and Patient Experience
- New Model Makes MRI More Accurate and Reliable
Channels
Radiography
view channel
World's Largest Class Single Crystal Diamond Radiation Detector Opens New Possibilities for Diagnostic Imaging
Diamonds possess ideal physical properties for radiation detection, such as exceptional thermal and chemical stability along with a quick response time. Made of carbon with an atomic number of six, diamonds... Read more
AI-Powered Imaging Technique Shows Promise in Evaluating Patients for PCI
Percutaneous coronary intervention (PCI), also known as coronary angioplasty, is a minimally invasive procedure where small metal tubes called stents are inserted into partially blocked coronary arteries... Read moreUltrasound
view channel.jpeg)
AI-Powered Lung Ultrasound Outperforms Human Experts in Tuberculosis Diagnosis
Despite global declines in tuberculosis (TB) rates in previous years, the incidence of TB rose by 4.6% from 2020 to 2023. Early screening and rapid diagnosis are essential elements of the World Health... Read more
AI Identifies Heart Valve Disease from Common Imaging Test
Tricuspid regurgitation is a condition where the heart's tricuspid valve does not close completely during contraction, leading to backward blood flow, which can result in heart failure. A new artificial... Read moreNuclear Medicine
view channel
Novel PET Imaging Approach Offers Never-Before-Seen View of Neuroinflammation
COX-2, an enzyme that plays a key role in brain inflammation, can be significantly upregulated by inflammatory stimuli and neuroexcitation. Researchers suggest that COX-2 density in the brain could serve... Read more
Novel Radiotracer Identifies Biomarker for Triple-Negative Breast Cancer
Triple-negative breast cancer (TNBC), which represents 15-20% of all breast cancer cases, is one of the most aggressive subtypes, with a five-year survival rate of about 40%. Due to its significant heterogeneity... Read moreGeneral/Advanced Imaging
view channel
AI-Powered Imaging System Improves Lung Cancer Diagnosis
Given the need to detect lung cancer at earlier stages, there is an increasing need for a definitive diagnostic pathway for patients with suspicious pulmonary nodules. However, obtaining tissue samples... Read more
AI Model Significantly Enhances Low-Dose CT Capabilities
Lung cancer remains one of the most challenging diseases, making early diagnosis vital for effective treatment. Fortunately, advancements in artificial intelligence (AI) are revolutionizing lung cancer... Read moreImaging IT
view channel
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
Global AI in Medical Diagnostics Market to Be Driven by Demand for Image Recognition in Radiology
The global artificial intelligence (AI) in medical diagnostics market is expanding with early disease detection being one of its key applications and image recognition becoming a compelling consumer proposition... Read moreIndustry News
view channel
GE HealthCare and NVIDIA Collaboration to Reimagine Diagnostic Imaging
GE HealthCare (Chicago, IL, USA) has entered into a collaboration with NVIDIA (Santa Clara, CA, USA), expanding the existing relationship between the two companies to focus on pioneering innovation in... Read more
Patient-Specific 3D-Printed Phantoms Transform CT Imaging
New research has highlighted how anatomically precise, patient-specific 3D-printed phantoms are proving to be scalable, cost-effective, and efficient tools in the development of new CT scan algorithms... Read more
Siemens and Sectra Collaborate on Enhancing Radiology Workflows
Siemens Healthineers (Forchheim, Germany) and Sectra (Linköping, Sweden) have entered into a collaboration aimed at enhancing radiologists' diagnostic capabilities and, in turn, improving patient care... Read more