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Diffusion-Weighted MRI Guides Stroke Diagnosis
Diffusion-weighted MRI patterns can guide the work-up for patients presenting with acute ischemic stroke symptoms, according to a study in the November Journal of Neurology, Neurosurgery & Psychiatry.
Diffusion-weighted MRI patterns can guide the work-up for patients presenting with acute ischemic stroke symptoms, according to a study in the November Journal of Neurology, Neurosurgery & Psychiatry.
University of Pennsylvania researchers led by neurologist Monisha Kumar, MD, performed electrocardiogram, non-contrast head CT, brain MRI, head and neck magnetic resonance angiography (MRA), and transoesophageal echocardiography studies with 273 patients. Stroke neurologists determined TOAST (Trial of Org 10172 in Acute Stroke Treatment) classification on admission and on discharge. If the stroke subtype changed between the initial diagnosis and the diagnosis testing, they considered how CT and MRI figured into that change.
The team found that diffusion-weighted MRI patterns appear to predict the cause of stroke better than conventional methods. Further, they say their data suggest an MRI-based diagnostic algorithm can potentially eliminate the need for echocardiography in one-third of stroke patients and may cut back on the need for secondary extracranial vascular imaging studies.
New CT and MRI Research Shows Link Between LR-M Lesions and Rapid Progression of Early-Stage HCC
January 2nd 2025Seventy percent of LR-M hepatocellular carcinoma (HCC) cases were associated with rapid growth in comparison to 12.5 percent of LR-4 HCCs and 28.5 percent of LR-4 HCCs, according to a new study.
Study Examines Impact of Deep Learning on Fast MRI Protocols for Knee Pain
December 17th 2024Ten-minute and five-minute knee MRI exams with compressed sequences facilitated by deep learning offered nearly equivalent sensitivity and specificity as an 18-minute conventional MRI knee exam, according to research presented recently at the RSNA conference.
