New Imaging Technology Accelerates Multiple Sclerosis Research
|
By LabMedica International staff writers Posted on 09 Jul 2013 |

Image: A frequency-based MRI image of an MS patient shows changes in tissue structure (Photo courtesy of the University of British Columbia).
Canadian investigators have developed a new magnetic resonance imaging (MRI) technique that detects the characteristic signs of multiple sclerosis in finer detail than ever before, providing a more effective tool for evaluating new treatments.
The technique analyzes the frequency of electromagnetic waves collected by an MRI scanner, instead of the actual wave size. Although analyzing the number of waves per second had been considered a more sensitive way of identifying changes in tissue structure, the calculations required to generate usable images had been problematic.
Multiple sclerosis (MS) occurs when an individual’s immune cells attack the protective insulation, known as myelin, which surrounds nerve fibers. The degrading process of myelin hinders the electrical signals transmitted between neurons, resulting in a range of symptoms, including numbness or weakness, vision loss, tremors, fatigue, and dizziness.
Dr. Alexander Rauscher, an assistant professor of radiology, and graduate student Vanessa Wiggerman in the University of British Columbia (UBC) MRI Research Center (Vancouver, BC, Canada), analyzed the frequency of MRI brain scans. With Dr. Anthony Traboulsee, an associate professor of neurology and director of the UBC Hospital MS Clinic, they applied their method to 20 MS patients, who were scanned once a month for six months using both conventional MRI and the new frequency-based method.
Once scars in the myelin (lesions) appeared in conventional MRI scans, Dr. Rauscher and his colleagues went back to earlier frequency-based images of those patients. Looking in the precise areas of those lesions, they found frequency alterations representing tissue damage at least two months before any sign of damage appeared on conventional scans. The results were published according to research published in the June 12, 2013, issue of the journal Neurology, the medical journal of the American Academy of Neurology.
“This technique teases out the subtle differences in the development of MS lesions over time,” Dr. Rauscher concluded. “Because this technique is more sensitive to those changes, researchers could use much smaller studies to determine whether a treatment, such as a new drug, is slowing or even stopping the myelin breakdown.”
Related Links:
University of British Columbia MRI Research Center
The technique analyzes the frequency of electromagnetic waves collected by an MRI scanner, instead of the actual wave size. Although analyzing the number of waves per second had been considered a more sensitive way of identifying changes in tissue structure, the calculations required to generate usable images had been problematic.
Multiple sclerosis (MS) occurs when an individual’s immune cells attack the protective insulation, known as myelin, which surrounds nerve fibers. The degrading process of myelin hinders the electrical signals transmitted between neurons, resulting in a range of symptoms, including numbness or weakness, vision loss, tremors, fatigue, and dizziness.
Dr. Alexander Rauscher, an assistant professor of radiology, and graduate student Vanessa Wiggerman in the University of British Columbia (UBC) MRI Research Center (Vancouver, BC, Canada), analyzed the frequency of MRI brain scans. With Dr. Anthony Traboulsee, an associate professor of neurology and director of the UBC Hospital MS Clinic, they applied their method to 20 MS patients, who were scanned once a month for six months using both conventional MRI and the new frequency-based method.
Once scars in the myelin (lesions) appeared in conventional MRI scans, Dr. Rauscher and his colleagues went back to earlier frequency-based images of those patients. Looking in the precise areas of those lesions, they found frequency alterations representing tissue damage at least two months before any sign of damage appeared on conventional scans. The results were published according to research published in the June 12, 2013, issue of the journal Neurology, the medical journal of the American Academy of Neurology.
“This technique teases out the subtle differences in the development of MS lesions over time,” Dr. Rauscher concluded. “Because this technique is more sensitive to those changes, researchers could use much smaller studies to determine whether a treatment, such as a new drug, is slowing or even stopping the myelin breakdown.”
Related Links:
University of British Columbia MRI Research Center
Latest BioResearch News
- Blood Metabolite Signature Predicts ALS Progression and Points to Treatment Strategy
- Whole-Blood Extracellular Vesicle Analysis Captures Molecular Signals Missed by Plasma Testing
- Age-Related Genomic Differences Could Refine Treatment Decisions in Lung Cancer
- Computational Tool Identifies Central Asthma Genes for Target Discovery
- Molecular Pathway Reveals Driver of Triple-Negative Breast Cancer Spread
- D-Serine May Predict Immune Checkpoint Therapy Resistance in Gastric Cancer
- New Genetic Cause Identified for Neurodevelopmental Disorder
- New Genetic Discovery Could Support Precision Diabetes Care
- Inherited Genetic Differences Help Explain Variable CAR T-Cell Therapy Outcomes
- AI-Powered Genome Mapping Reveals New Layer of Alzheimer’s Disease Biology
- Genetic Variations Reveal Mechanisms Behind Sudden Cardiac Death Risk
- Immune Biomarkers Support Early Risk Stratification in Oral Precancer
- Global Genetic Map Identifies Regional Parkinson’s Variants to Support Diagnostics
- Breakthrough Genetic Map Advances Understanding of Bone Disorders
- Study Identifies Hereditary Subtype of Aggressive Prostate Cancer
- Gene Variants Linked to Pollution-Exacerbated Asthma
Channels
Clinical Chemistry
view channel
NIH-Funded Study Targets Saliva-Based Long COVID Diagnosis
Long COVID presents with heterogeneous, persistent symptoms that complicate clinical assessment and case definition. A lack of a definitive diagnostic test forces clinicians to exclude alternative etiologies... Read more
Validated Biomarker Blood Test Detects Early Lung Cancer and Supports Risk Assessment
Lung cancer is often diagnosed at advanced stages because symptoms typically appear late, while participation in low-dose computed tomography (LDCT) screening remains low. Imaging can also produce false-positive... Read more
Machine Learning Model Uses Routine Lab Tests to Support Heart Failure Classification
Accurately distinguishing heart failure phenotypes is important for guiding imaging and treatment decisions in hospital care, but phenotyping usually depends on echocardiography, which may not be immediately... Read moreMolecular Diagnostics
view channel
Single-Tube CRISPR Test Detects Pathogens and Genetic Variants in 30 Minutes
Rapid, accurate detection of infectious agents and single-nucleotide variants remains difficult to deliver outside centralized laboratories. Although multi-step nucleic acid workflows are sensitive, they... Read more
New Blood RNA Markers Help Advance Precision Medicine for Respiratory Patients
Risk stratification in hospitalized respiratory disease, particularly among older adults with COVID-19, remains challenging despite rich clinical datasets. Blood-based non-coding RNA biomarkers are promising,... Read moreHematology
view channel
New Genetic Findings Reveal Cause of Bone Marrow Failure Syndrome
Inherited bone marrow failure syndromes (IBMFS) impair the bone marrow’s ability to produce sufficient healthy blood cells and are associated with an increased risk of early-onset myelodysplastic syndromes (MDS).... Read more
Ultra-Portable Device Enables Finger-Prick Blood Testing at Home
Patients who need frequent blood tests often face repeated clinic visits that burden services and disrupt care. In the UK, millions of tests are performed each year to diagnose disease, guide therapy,... Read moreImmunology
view channel
Temporal Immune Profiling Reveals How Sepsis States Change Over Time
Sepsis is a life-threatening condition in which the immune response to infection becomes dysregulated, leading to rapid organ failure and death. Although antimicrobials and organ support remain standard... Read more
Study Identifies Immune Cells That Drive Harmful Autoantibody Responses in COVID-19
Autoantibodies that mistakenly attack the body’s own tissues have been linked to severe COVID-19, Long COVID, and increased risk of autoimmune disease. However, the origins of these autoantibodies during... Read moreMicrobiology
view channel
New Diagnostic Workflow Identifies Bloodstream Pathogens and Antibiotic Response in Hours
Sepsis is a life-threatening complication of infection that affects more than 1.5 million patients annually in the United States and contributes to roughly one in three in-hospital deaths.... Read more
Genetic Marker Identifies Emerging Resistance to Frontline Malaria Drugs
Artemisinin-based combination therapy remains central to controlling Plasmodium falciparum malaria, but emerging drug resistance is complicating treatment and surveillance. In Uganda and across sub-Saharan... Read morePathology
view channel
New Journal Addresses Evolving Needs in Clinical and Translational Pathology
Clinical pathology underpins diagnosis and therapy selection across oncology and other major diseases, but the field is rapidly evolving as new technologies reshape how disease is studied and classified.... Read more
AI Matches Pathologists in Predicting Breast Cancer Prognosis from Immune Cells
Breast cancer is the most common cancer in Australian women, with more than 20,000 cases each year. Prognosis can be informed by counting tumor-infiltrating lymphocytes (TILs) on routine pathology slides,... Read more
AI-Pathologist Framework Improves Accuracy and Reliability in Cancer Diagnosis
Ensuring reliable cancer diagnosis from digital pathology remains a critical challenge as clinical decisions rely on accurate slide interpretation. While artificial intelligence (AI) has accelerated whole-slide... Read moreTechnology
view channel
Bacterial Vesicle Expression System Streamlines Production of Cancer Diagnostic Proteins
Recombinant proteins are central to many cancer diagnostics and therapies, but numerous targets remain difficult and costly to produce because they are unstable, toxic to microbial hosts, or require precise folding.... Read more
Autonomous Robotic System Receives FDA Authorization for Blood Collection
Venipuncture is central to many diagnostic pathways, but routine blood collection can be affected by staffing constraints and procedural variability that influence consistency and patient experience.... Read moreIndustry
view channel







