Magnetic resonance imaging (MRI) with 7-Tesla ultrahigh-field-strength technology captures scar tissue and other abnormalities of patients with epilepsy, according to a study published online in the journal Radiology.
Magnetic resonance imaging (MRI) with 7-Tesla ultrahigh-field-strength technology captures scar tissue and other abnormalities of patients with epilepsy, according to a study published online in the journal Radiology.
A University of Minnesota team led by neurologist Thomas Henry, MD, used a 7-T magnet operated from a Siemens console and a 16-detector head coil to image the brains of 11 healthy subjects and eight patients with temporal lobe epilepsy (TLE). Typical MRI magnets are powered at 1.5 or 3 Teslas.
Epilepsy, a neurological disorder causing repeated seizures or convulsions, impacts about 1 percent of the population, according to the National Institutes of Health. Temporal lobe epilepsy is the most common form of the disease, caused by scarring inside the hippocampus, a major memory center of the brain. Many patients have severe memory problems, even in between seizures.
The team reviewed the MRIs for evidence of hippocampal atrophy, signal change, and malrotation with the Bernasconi definition. They also counted digitations of the hippocampal heads. All eight patients with epilepsy had hippocampal abnormalities. Closer analysis showed selective lateral Ammon horn atrophy in six patients and diffuse Ammon horn and dentate gyrus atrophy in one patient. The epileptic patients lacked hippocampal digitations on the seizure-causing brain hemisphere.
The clearer MRI images allowed Henry and his colleagues to more accurately find scar tissue associated with temporal lobe epilepsy, which neurosurgeons can remove to control epileptic seizures.
“When you see how much clearer these 7 Tesla images are, compared with standard MRI, it’s sort of like reading fine print with a magnifying glass versus the naked eye,” Henry said. “The possibility of using 7-Tesla MRI to find brain lesions that were missed on current brain scans is likely to be very helpful in epilepsy and many other conditions.”
Emerging AI Algorithm Shows Promise for Abbreviated Breast MRI in Multicenter Study
April 25th 2025An artificial intelligence algorithm for dynamic contrast-enhanced breast MRI offered a 93.9 percent AUC for breast cancer detection, and a 92.3 percent sensitivity in BI-RADS 3 cases, according to new research presented at the Society for Breast Imaging (SBI) conference.
Could AI-Powered Abbreviated MRI Reinvent Detection for Structural Abnormalities of the Knee?
April 24th 2025Employing deep learning image reconstruction, parallel imaging and multi-slice acceleration in a sub-five-minute 3T knee MRI, researchers noted 100 percent sensitivity and 99 percent specificity for anterior cruciate ligament (ACL) tears.
New bpMRI Study Suggests AI Offers Comparable Results to Radiologists for PCa Detection
April 15th 2025Demonstrating no significant difference with radiologist detection of clinically significant prostate cancer (csPCa), a biparametric MRI-based AI model provided an 88.4 percent sensitivity rate in a recent study.