World Neurosurg
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Predicting the aggressiveness of meningiomas may influence the surgical strategy timing. Because of the paucity of robust markers, the systemic immune-inflammation (SII) index is a novel biomarker to be an independent predictor of poor prognosis in various cancers including gliomas. We aimed to investigate the value of SII as well as neutrophil-lymphocyte ratio (NLR) and platelet-lymphocyte ratio (PLR) indices in predicting prognosis. ⋯ This is the first study to assess the prognostic value of the SII index in patients with intracranial meningiomas. Increased SII index, NLR and PLR were correlated with higher grade and higher Ki-67 index. They also harbor the potential to screen patients that may need more aggressive treatments or more frequent follow-up examinations.
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Cervical spine procedures represent a major proportion of all spine surgery. Mitigating the revision rate following cervical procedures requires careful patient selection. While complication risk has successfully been predicted, revision risk has proven more challenging. This is likely due to the absence of granular variables in claims databases. The objective of this study was to develop a state-of-the-art model of revision prediction of cervical spine surgery using laboratory and operative variables. ⋯ Our deep learning approach successfully predicted 3-month revision outcomes from demographic variables, standard laboratory values, and operative variables in a cervical spine surgery cohort. This work used standard laboratory values and operative codes as meaningful predictive variables for revision outcome prediction. The increased performance on certain procedures evidences the need for careful development and validation of one-size-fits-all risk scores for spine procedures.
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Approximately 25% of intracranial aneurysms originate at the internal carotid artery and posterior communicating artery (PCoA) junction.1 In contrast to typical PCoA aneurysms, which are usually saccular, a subset known as true PCoA aneurysms arise directly from the PCoA. These represent about 1.3% of all intracranial aneurysms and 6.8% of PCoA aneurysms.1 The first report of a true PCoA aneurysm was in 1979.2Video 1 illustrates the microsurgical clipping of a true PCoA aneurysm in a 27-year-old man with subarachnoid hemorrhage and left-sided ophthalmoplegia. ⋯ The patient had an uncomplicated recovery and was discharged on postoperative day 5 with resolved third nerve dysfunction. A literature review from 2022 documented only 47 cases of true PCoA aneurysms, predominantly manifesting with rupture.3 Some studies suggest that these aneurysms may have a higher rupture risk than typical internal carotid artery-PCoA junction aneurysms.4 Microsurgical clipping is a primary treatment, often in cases associated with a fetal posterior cerebral artery variant.5 Ensuring the patency of the PCoA and thalamoperforating arteries is crucial, with careful visualization of the clip's distal ends to avoid impacting nearby neurovascular structures.
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Primary thyroid cancer metastasizing to the spine portends poor survival and low quality of life. Current management strategies continue to evolve. This single-institution retrospective study analyzes outcomes after spinal stereotactic radiosurgery for patients with spinal metastases from thyroid cancer. ⋯ SRS can be utilized as an effective and safe primary and adjuvant treatment option for primary thyroid metastases to the spine.
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The significance of noncontrast computer tomography (CT) image markers in predicting hematoma expansion (HE) following intracerebral hemorrhage (ICH) within different time intervals in the initial 24 hours after onset may be uncertain. Hence, our objective was to examine the predictive value of clinical factors and CT image markers for HE within the initial 24 hours using machine learning algorithms. ⋯ Computed tomography (CT) imaging markers and clinical factors could effectively predict HE within the initial 24 hours across various time periods by machine learning algorithms. In the expansive landscape of big data and multimodal cerebral hemorrhage, machine learning held significant potential within the realm of neuroscience.