World Neurosurg
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Machine learning (ML) and deep learning (DL) techniques offer a promising multidisciplinary solution for subarachnoid hemorrhage (SAH) detection. The novel transfer learning approach mitigates the time constraints associated with the traditional techniques and demonstrates a superior performance. This study aims to evaluate the effectiveness of convolutional neural networks (CNNs) and CNN-based transfer learning models in differentiating between aneurysmal subarachnoid hemorrhage (aSAH) and nonaneurysmal subarachnoid hemorrhage (naSAH). ⋯ CNN-based transfer learning models can accurately diagnose the etiology of SAH from CT images and is a valuable tool for clinicians. This approach could reduce the need for invasive procedures such as digital subtraction angiography, leading to more efficient medical resource utilization and improved patient outcomes.
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This study aims to assess race as an independent risk factor for postoperative complications after surgical fixation of traumatic thoracolumbar fractures for African American and Asian American patients compared with white patients. ⋯ African American and Asian American patients undergoing thoracolumbar fusion surgeries exhibit disproportionate comorbidity burden, longer LOS, and greater postoperative complications compared with white patients. Furthermore, the African American race was associated with an increased rate of 30-day postoperative complications.
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To compare the diameter of the jugular foramen (JF) between normal individuals and those with the diagnosis of craniovertebral junction abnormalities, such as Chiari malformation type I (CMI) and/or basilar invagination (BI). ⋯ JF narrowing is associated with CMI and BI when they are found combined in the same patient. When CMI or BI are detected separately, they do not imply evident changes in JF morphometry. It is expected that these findings could bring empiric substrate to support theories that claims a possible role of intracranial pressure disturbances as a triggering factor for CMI.
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There are cases of superficial siderosis (SS) with spinal ventral fluid-filled collection in the spinal canal (VFCC). In our previous study, the balanced steady-state free precession sequence magnetic resonance imaging is useful in identifying the location of dural defects. However, because of its narrow scan area and long scan time, it cannot easily detect the defect location in some patients with small dural defect. In this study, we applied four-dimensional dynamic computed tomography (4DCT) imaging, including time-axis imaging, to myelography using the latest CT imaging equipment, which can perform short-time continuous imaging, to identify the dural defect site. ⋯ 4D-CTM can be used to reliably identify the location of spinal fluid leakage. In SS cases, dural defects could be visualized in an average of 19 seconds.
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Rarely do spinal hamartomas receive attention in the literature, and the majority of previous studies consist of case reports. The purpose of this report, then, is to provide a more accurate diagnosis and treatment of spinal hamartomas by presenting the clinical and surgical outcomes of 8 cases. ⋯ Spinal hamartomas are benign, but they are clinically progressive lesions. Pathology is the basis of accurate diagnosis, and complete preoperative evaluation is crucial for providing suitable treatment and prognosis.