- MR Cranial Bone Imaging: Evaluation of Both Motion-Corrected and Automated Deep Learning Pseudo-CT Estimated MR Images
In this study, the authors developed automated motion correction and used deep learning to generate pseudo-CT cranial images from MR images. Compared with CT, pseudo-CT had 100% specificity and 100% sensitivity for suture closure and 100% specificity and 90% sensitivity for skull fractures.
- Radiologic Classification of Hippocampal Sclerosis in Epilepsy
This review explores how the International League Against Epilepsy (ILAE) subtypes of hippocampal sclerosis correlate with MRI findings. Hippocampal anatomy is reviewed in detail. The pathophysiology of hippocampal sclerosis is discussed. A radiologic classification scheme is proposed that aligns with the ILAE pathology classification, aiming to improve clinical communication and decision-making.
- Retrolabyrinthine Bone Thickness as a Radiologic Marker for the Hypoplastic Endotype in Menière Disease
There are 2 major endotypes of Menière disease: one with a hypoplastic, underdeveloped endolymphatic sac and one with a normally developed sac that degenerates over time. This study explored the link between angular trajectory of the vestibular aqueduct and the thickness of the retrolabyrinthine bone to provide differentiation between MD endotypes using CT and MRI. The average retrolabyrinthine bone thickness was statistically significantly different between endotypes with retrolabyrinthine bone thickness >=1.2 mm, effectively ruling out hypoplastic Menière disease.
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