- A Clinical and Imaging Fused Deep Learning Model Matches Expert Clinician Prediction of 90-Day Stroke Outcomes
The authors in this study used a deep learning-based predictive model (DLPD) that incorporated DWI and clinical data from the acute period to predict 90-day mRS outcomes and compared its predictions with those made by physicians. The results showed that the clinical and imaging fused deep learning model is noninferior to expert physicians in predicting specific mRS outcomes and unfavorable prognoses.
- Does CISS MRI Reliably Depict the Endolymphatic Duct in Children with and without Vestibular Aqueduct Enlargement?
In this retrospective review of temporal bone high-resolution CT and CISS MR imaging of 98 hearing-impaired children, the authors found that the CISS MR imaging technique commonly used for inner ear evaluation performs poorly overall at resolving the endolymphatic duct and underdiagnoses enlarged vestibular aqueduct. If the endolymphatic duct is easily seen on CISS imaging, there is a .99% probability that the vestibular aqueduct is enlarged.
- Sinonasal (Schneiderian) Tumors in the Temporal Bone: Case Series and Systematic Review
This systematic review of patients with middle ear sinonasal-type tumors with a history of primary sinonasal tumors shows a tumor pattern supporting the hypothesis that the Eustachian tube may facilitate the spread of sinonasal neoplasms from the sinonasal cavity to the temporal bone.
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