Neurosurgery
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Deep learning (DL) is a powerful machine learning technique that has increasingly been used to predict surgical outcomes. However, the large quantity of data required and lack of model interpretability represent substantial barriers to the validity and reproducibility of DL models. The objective of this study was to systematically review the characteristics of DL studies involving neurosurgical outcome prediction and to assess their bias and reporting quality. ⋯ The use of DL for neurosurgical outcome prediction remains nascent. Lack of appropriate data sets poses a major concern for bias. Although studies have demonstrated promising results, greater transparency in model development and reporting is needed to facilitate reproducibility and validation.
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Meta Analysis
Treatment Outcomes in American Football Players After Intervertebral Disk Herniation: Systematic Review and Meta-Analysis.
American football players are at increased risk for many forms of spinal injury. Intervertebral disk herniations are particularly concerning as they are the leading cause of days lost to injury and can have long-term effects on player careers. Disk herniation management plays a major role in the likelihood and success of return-to-play (RTP). ⋯ Disk herniations are a common injury, with surgery potentially improving post-treatment outcomes. The literature suffers from heterogeneous definitions of RTP and varying performance metrics, making it difficult to draw clear conclusions. To better understand the impact of disk herniation and treatment on player health and performance, more studies should be performed prospectively and with standardized metrics.
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The perioperative multidisciplinary team approach has probably been best exemplified by the care of awake craniotomy patients. Advancement in anesthesia and meticulous perioperative care has supported the safety and complexity of the surgical and mapping efforts in glioma resection. The discussions in this review will emphasize on anesthetic and perioperative management strategies to prevent complications and minimize their effects if they occur, including current practice guidelines in anesthesia, updates on the applications of anesthetic medications, and emerging devices. Planning the anesthetic and perioperative management is based on understanding the pharmacology of the medications, the goals of different stages of the surgery and mapping, and anticipating potential problems.
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Meta Analysis
Optimal Donor Nerve to Restore Elbow Flexion After Traumatic Brachial Plexus Injury: A Systematic Review and Meta-Analysis.
Traumatic brachial plexus injuries (BPIs) often lead to devastating upper extremity deficits. Treatment frequently prioritizes restoring elbow flexion through transfer of various donor nerves; however, no consensus identifies optimal donor nerve sources. ⋯ Neurotization of partial BPI or TBPI through the intercostal nerve or phrenic nerve may result in functional advantage over cC7. In patients with upper trunk injuries, neurotization using ulnar, median, or double fascicle nerve transfers has similarly excellent functional recovery.
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Pediatric brain tumors are an incredibly diverse group of neoplasms and neuropathological tumor classification is an essential part of patient care. Classification of pediatric brain tumors has changed considerably in recent years as molecular diagnostics have become incorporated with routine histopathology in the diagnostic process. This article will focus on the fundamental major histologic, immunohistochemical, and molecular features that neuropathologists use to make an integrated diagnosis of pediatric brain tumors. This concise review will focus on tumors that are integral to the central nervous system in pediatric patients including: embryonal tumors, low and high grade gliomas, glioneuronal tumors, ependymomas, and choroid plexus tumors.