1. Erbele ID, Miller LS, Mankekar G, et al. Cochlear enhancement may precede cochlear obliteration after vestibular schwannoma excision. Otol Neurotol 2020;41:202–07 Cochlear obliteration, which occurs as a response to some insults, can impair the ability to place a cochlear
Fellows’ Journal Club Sixty-three consecutive patients who presented to the authors’ institution with cervicofacial venous malformations and underwent postcontrast MR imaging were studied. Three neuroradiologists reviewed brain MRIs for the presence of developmental venous anomalies, dural venous sinus ectasia, and
Editor’s Choice The authors used pseudospiral Cartesian undersampling with compressed sensing reconstruction to achieve high spatiotemporal resolution (0.5mm isotropic, ∼30 ms) in a scan time of 10 minutes. They analyzed the repeatability of accelerated 4D-flow scans and compared flow rates,
Fellows’ Journal Club With prospective imaging to screen the spinal cord, the authors found SCCMs in 21 of 29 familial CCM1 patients, a prevalence of 72.4%. They conclude that the study demonstrates that SCCMs are indeed a common finding in
Editor’s Choice With a mean follow-up of approximately 15 months, the authors evaluated 41 cases of wide-neck aneurysms. Overall, 78.8% of the aneurysms had complete occlusion in the last follow-up, and 19.5% required retreatment with additional endovascular devices. A good
1. Lasocki A, Khoo C, Lau PKH, et al. High-resolution MRI demonstrates that more than 90% of small intracranial melanoma metastases develop in close relationship to the leptomeninges. Neuro Oncol 2020;22:423–32 Brain MR examinations of melanoma patients treated at a
Fellows’ Journal Club Two-hundred fifty-four conventional fluoroscopy-guided selective cervical nerve root blocks were performed via an anterolateral approach with an average fluoroscopy time of 24.3 seconds for all cases. There were no aborted procedures and no major or permanent complications.
Editor’s Choice The authors used resting-state fMRI in a prospective study to compare whole-brain functional connectivity between patients with good and poor outcomes, implementing support vector machine learning. They automatically predicted coma outcome using resting-state fMRI and also compared the
Fellows’ Journal Club The authors aimed to identify brain MR imaging characteristics obtained from fetal and early neonatal scans that can predict the clinical presentation. A total of 32 neonatal patients (21 patients in the neonatal at-risk cohort, 11 in
Editor’s Choice Using the Alzheimer’s Disease Neuroimaging Initiative dataset, the authors identified 2582 18F-florbetapir PET scans, which were separated into positive and negative cases by using a standardized uptake value ratio threshold of 1.1. They trained convolutional neural networks to
