World Neurosurg
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Comparative Study
MR imaging features of ZFTA-RELA fusion ependymoma compared to its wild-type counterpart.
To explore the predictive value of quantitative features extracted from conventional magnetic resonance imaging (MRI) in distinguishing Zinc Finger Translocation Associated (ZFTA)-RELA fusion-positive and wild-type ependymomas. ⋯ Quantitative features extracted from preoperative conventional MRI by Visually Accessible Rembrandt Images provide high discriminatory accuracy in predicting the ZFTA-RELA fusion status of ependymoma.
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The internal jugular vein (IJV) is the pre-eminent outflow of the dural venous sinuses (DVS) in the supine position, while the vertebral venous plexus (VVP) dominates venous outflow in the upright position. Emissary veins can also be an accessory pathway for this venous egress. To our knowledge, alternative dural venous sinus directly drainage via the diploic space has not been previously reported in the literature. ⋯ An improved understanding of the cerebral venous drainage can assist clinicians and surgeons in recognizing normal, pathologic, and variant anatomy in this region. Based on our study, direct venous sinus (DVS) to diploic space drainage offers an additional pathway for venous egress from the intracranium. Therefore, removal of the dura over the clivus during various skull base procedures might be associated with increased venous bleeding from the basilar venous plexus on its deep surface where it interfaces with the clivus.
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The neutrophil-to-lymphocyte ratio (NLR) is a simple, cost-effective index of inflammation that can be measured by peripheral blood count. This study aimed to reveal that a high NLR value could be a prognostic marker for mortality risk in preterm babies born with IVH. ⋯ This was the first study to examine the relationship between the NLR and mortality in preterm babies with IVH. This study showed that a high NLR was strongly associated with mortality in premature infants with low APGAR scores and having IVH.
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Primary pontine hemorrhage (PPH) is a rare intracranial hemorrhage with a wide range of mortality rate. Predicting the prognosis of PPH is still challenging. Previous prognostic scoring tests have not been widely used due to limited external validation. This study applied machine learning (ML) algorithms to develop predictive models for mortality and prognosis of patients with PPH. ⋯ ML algorithms achieved a high performance and accuracy in predicting PPH outcomes. Despite the need for further validation, ML models are promising tools for clinical applications in the future.
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Gamma knife (GK) thalamotomy has been used as a treatment option for essential tremor (ET). Numerous studies on GK use in ET treatment have reported more varied responses and complication rates. ⋯ GK thalamotomy is an efficient procedure for treating ET. Careful treatment planning is necessary to reduce complication rates. The prediction of radiation complications will increase the safety and effectiveness of GK treatment.