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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.

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.