- Enhancing Lesion Detection in Inflammatory Myelopathies: A Deep Learning–Reconstructed Double Inversion Recovery MRI Approach
This observational study compared the acquisition time, image quality, diagnostic confidence, and lesion detection rates among sagittal T2WI, standard DIR, and DL-reconstructed DIR in patients with inflammatory myelopathies. It was found that DL-reconstructed DIR significantly reduced acquisition time and improved image quality. DL-reconstructed DIR also improved lesion detection, showing superior diagnostic performance in inflammatory myelopathies without compromising diagnostic confidence.
- Deep Medullary Vein Integrity and Relationships with Small Vessel Disease and Interstitial Diffusivity Measures in Patients with a Recent Small Subcortical Infarct
In this retrospective observational study, the authors assessed how DMV integrity relates to MRI-based SVD severity markers and glymphatic function assessed by DTI measures in patients with a recent small subcortical infarct. DMV disruption demonstrated a weak association with SVD, influenced by confounding factors, and a strong relationship with microstructural WM integrity and free water content, suggesting the potential involvement of extracellular fluid in mechanisms leading to vein disruption.
- Single Large-Scale Mitochondrial Deletion Syndromes: Neuroimaging Phenotypes and Longitudinal Progression in Pediatric Patients
This retrospective observational study is a longitudinal analysis of the neuroimaging pattern of single large-scale mitochondrial deletion syndrome, which is often classified into 3 major clinical syndromes: Kearns-Sayre syndrome, chronic progressive external ophthalmoplegia, and Pearson syndrome. Early findings typically involve the brainstem and basal ganglia with the supratentorial subcortical white matter changes and spinal cord involvement as the disease progresses.
- A Review of Intracranial Aneurysm Imaging Modalities, from CT to State-of-the-Art MR
This review article covers the established imaging modalities (eg, CT, CTA, DSA, FLAIR, 3D TOF-MRA, contrast-enhanced MRA) and novel MR techniques (MR vessel wall imaging, dynamic contrast-enhanced MRI, computational fluid dynamics) of intracranial aneurysm evaluation. Artificial intelligence software and its integration into diagnostic and risk-stratification pipelines for intracranial aneurysms are also discussed.