Neurosurgery
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Adductor laryngeal dystonia (ADLD) is a substantially debilitating focal progressive neurological voice disorder. Current standard of care is symptomatic treatment with repeated injections of botulinum toxin into specific intrinsic laryngeal muscles with extremely variable and temporary benefits. We report the use of bilateral deep brain stimulation (DBS) of globus pallidus (GPi) for long-term improvement of ADLD voice symptoms. ⋯ Changes in phonatory function provide preliminary support for the use of bilateral GPi-DBS for treatment of ADLD and bilateral VIM-DBS for vocal tremor predominant ADLD. Future studies with larger sample sizes and standardized follow-up periods are needed to better assess the role of DBS for ADLD.
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Several East Asian studies have examined the role of revascularization in the context of hemorrhagic moyamoya disease (MMD) and found a decrease in postoperative rehemorrhage rates. To date, no data exist comparing revascularization with conservative management in North American patients with hemorrhagic MMD. ⋯ Conservative management in a North American patient cohort was associated with greater mortality and worsened neurological outcomes compared with those undergoing revascularization. Early revascularization was associated with higher rates of postoperative seizures and wound complications, although these risks must be balanced against the risk of rehemorrhage.
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Telemedicine has become indispensable in today's health care because of the recent ongoing COVID-19 crisis. Although it has been beneficial in coping with the pandemic, there is still much uncertainty as to whether it will have a permanent role in treating spine patients. Some of the ongoing legal challenges include patient confidentiality, liability coverage for treating healthcare workers, and financial reimbursements by insurance companies. ⋯ Moreover, without parity and uniformity, the incentive to offer telehealth services decreases. There may be a need for modifications in the law, insurance policies, and medical malpractice coverage to strengthen their support to telemedicine usage. As spine surgeons become more familiarized with the telemedicine framework, its role in patient care will likely expand.
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Recent developments in machine learning (ML) methods demonstrate unparalleled potential for application in the spine. The ability for ML to provide diagnostic faculty, produce novel insights from existing capabilities, and augment or accelerate elements of surgical planning and decision making at levels equivalent or superior to humans will tremendously benefit spine surgeons and patients alike. ⋯ Furthermore, we briefly discuss potential applications of generative networks before highlighting some of the limitations of ML applications. We conclude that ML in spine imaging represents a significant addition to the neurosurgeon's armamentarium-it has the capacity to directly address and manifest clinical needs and improve diagnostic and procedural quality and safety-but is yet subject to challenges that must be addressed before widespread implementation.