Company representatives, joined by other experts, also released updated recommendations for a standardized MRI protocol for MS.
The findings and recommendations were presented at the Americas Committee for Treatment and Research in Multiple Sclerosis (ACTRIMS) Forum 2020, held Feb. 27-29 in Florida.
Early MS diagnosis is critical. Patients diagnosed early can start treatments sooner, which may prevent severe brain volume loss (brain atrophy), and physical and cognitive decline. Brain MRI has been an invaluable tool in diagnosis, key to accurate identification of new lesion activity.
Recent advances in image processing and machine learning have provided ways to deepen knowledge about MS, and gather new information that could improve its diagnosis.
In a poster titled “Performance Evaluation For Multiple Sclerosis Identification Models Based On MR Imaging And Machine Learning,” CorTechs demonstrated machine learning models for MS identification that were created using a recent version of its lead brain image software, NeuroQuant 3.0, which quantifies brain volume changes seen on MRI.
NeuroQuant-processed MRI scans from 463 MS patients and 2,315 healthy controls between the ages of 18 and 71 were used to train artificial intelligence (AI) algorithms to create the models.
Several types of volumetric information were used as input, including the volume of cerebral white matter hypointensities, a sign of brain lesions. Two-thirds of the data were used for training the algorithm, and one-third was used for testing the models.
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