- Longitudinal Changes in Cerebral Perfusion, Perivascular Space Volume, and Ventricular Volume in a Healthy Cohort Undergoing a Spaceflight Analog
Cerebral physiologic changes occur in response to the unique physiologic stressor of altered gravity, including a decrease in global perfusion and increase in ventricular/PVS volumes during spaceflight analog and subsequent reversal during recovery. The findings of this study contribute to our understanding of the relationships among the circulatory, glymphatic, and ventricular systems of the brain.
- Unpacking the CNS Manifestations of Epstein-Barr Virus: An Imaging Perspective
This is an illustrative review of neuroimaging manifestations of EBV-associated infectious, noninfectious inflammatory, and lymphoproliferative disorders, which have a myriad of imaging appearances.
- Long-Term Follow-up of Multinodular and Vacuolating Neuronal Tumors and Implications for Surveillance Imaging
Multinodular and vacuolating neuronal tumors (MVNTs) are classified as WHO grade 1 tumors and typically described as “leave me alone” lesions. Less frequent surveillance imaging can be performed based on the longitudinal volumetric stability of these lesions.
- CT Perfusion Does Not Modify the Effect of Reperfusion in Patients with Acute Ischemic Stroke Undergoing Endovascular Treatment in the ESCAPE-NA1 Trial
Various CTP metrics are used as biomarkers of ischemia and clinical outcomes in some patients undergoing EVT. This post hoc analysis of the Safety and Efficacy of Nerinetide in Subjects Undergoing Endovascular Thrombectomy for Stroke (ESCAPE-NA1) trial shows that patients having undergone EVT with baseline small CTP lesion volumes have a better clinical outcome compared with those with larger CTP lesions. However, CTP was not able to elucidate why some patients have poor outcomes despite near-complete recanalization.
- Brain Maturation Patterns on Normalized FLAIR MR Imaging in Children and Adolescents
Studies to date have shown signal maturation patterns in the pediatric population using various sequences. However, there is a paucity of information about brain maturation patterns of FLAIR signal intensities across the pediatric range. Additionally, intensities vary widely across FLAIR MR imaging scanners. A FLAIR intensity standardization algorithm would be helpful to normalize intensity across large data sets, allowing comparison of FLAIR intensity in different regions and individuals.
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