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FDA Clears Magnetic Resonance Spectroscopy Platform for Non-Invasive Assessment of Brain Chemistry
BrainSpec Core reportedly offers enhanced sensitivity for low-grade gliomas and may facilitate the diagnosis of conditions including Alzheimer’s disease, multiple sclerosis, and epilepsy.
The Food and Drug Administration (FDA) has granted 510(k) clearance for BrainSpec Core™, a magnetic resonance spectroscopy (MRS) software that utilizes a reference base of brain chemistry to help detect a variety of common brain-related conditions ranging from epilepsy and brain tumors to Alzheimer’s disease.
Employing advanced signal processing methods, BrainSpec Core offers insight into the chemical composition of brain tissue and measurement of metabolite levels in the brain, according to BrainSpec, the developer of the software.
The company pointed out that BrainSpec Core has demonstrated an 85 percent sensitivity rate and a 90 percent specificity rate for the oncometabolite 2-hydroxyglutarate, which is present in low-grade gliomas.
“(The) ability to measure 2-hydroxyglutarate and other brain metabolites provides a direct and non-invasive marker of low-grade gliomas that could lead to a more accurate classification of individual tumors benefitting decision making,” noted Raymond Y. Huang, M.D., Ph.D, the division chief of neuroradiology at Brigham and Women's Hospital.
BrainSpec added that BrainSpec Core can be utilized with 3T MRI scanners from GE HealthCare, Siemens Healthineers and Philips.
MRI Long Covid Study Reveals Link Between Lower Pulmonary Gas Exchange and Cognitive Dysfunction
November 26th 2024For patients with Long Covid, lower pulmonary gas exchange may be associated with lower gray and white matter volume, according to new MRI research to be presented at the Radiological Society of North America (RSNA) conference.
New DEXA Scan Study Links Thyroid Medication Levothyroxine to Higher Bone Loss Risk in Seniors
November 25th 2024Use of the medication levothyroxine, commonly prescribed for hypothyroidism, was associated with greater long-term loss of total body bone mass in seniors, according to new DEXA research to be presented at the Radiological Society of North America (RSNA) conference.
New Study Examines Short-Term Consistency of Large Language Models in Radiology
November 22nd 2024While GPT-4 demonstrated higher overall accuracy than other large language models in answering ACR Diagnostic in Training Exam multiple-choice questions, researchers noted an eight percent decrease in GPT-4’s accuracy rate from the first month to the third month of the study.
