Neurosurgery
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Meta Analysis
Indocyanine Green Videoangiography in Aneurysm Surgery: Systematic Review and Meta-Analysis.
Although digital subtraction angiography (DSA) may be considered the gold standard for intraoperative vascular imaging, many neurosurgical centers rely only on indocyanine green videoangiography (ICG-VA) for the evaluation of clipping accuracy. Many studies have compared the results of ICG-VA with those of intraoperative DSA; however, a systematic review summarizing these results is still lacking. ⋯ Because a proportion of mis-clippings cannot be identified with ICG-VA, this technique should still be considered complementary rather than a replacement to DSA during aneurysm surgery. Incorporating other intraoperative tools, such as flowmetry or electrophysiological monitoring, can obviate the need for intraoperative DSA for the identification of vessel stenosis. Nevertheless, DSA likely remains the best tool for the detection of aneurysm remnants.
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Spine Surgery in the Ambulatory Surgery Center Setting: Value-Based Advancement or Safety Liability?
Here, we systematically review clinical studies that report morbidity and outcomes data for cervical and lumbar surgeries performed in ambulatory surgery centers (ASCs). We focus on anterior cervical discectomy and fusion (ACDF), posterior cervical foraminotomy, cervical arthroplasty, lumbar microdiscectomy, lumbar laminectomy, and minimally invasive transforaminal interbody fusion (TLIF) and lateral lumbar interbody fusion, as these are prevalent and surgical spine procedures that are becoming more commonly performed in ASC settings. A systematic search of PubMed was conducted, using combinations of the following phrases: "outpatient," "ambulatory," or "ASC" with "anterior cervical discectomy fusion," "ACDF," "cervical arthroplasty," "lumbar," "microdiscectomy," "laminectomy," "transforaminal lumbar interbody fusion," "spine surgery," or "TLIF."In reviewing the available literature to date, there is ample level 3 (retrospective comparisons) and level 4 (case series) evidence to support both the safety and effectiveness of outpatient cervical and lumbar surgery. While no level 1 or 2 (randomized clinical trials) evidence currently exists, the plethora of real-world clinical data creates a formidable argument for serious investments in ASCs for multiple spine procedures.
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Machine learning (ML) is a domain of artificial intelligence that allows computer algorithms to learn from experience without being explicitly programmed. ⋯ We conclude that ML models have the potential to augment the decision-making capacity of clinicians in neurosurgical applications; however, significant hurdles remain associated with creating, validating, and deploying ML models in the clinical setting. Shifting from the preconceptions of a human-vs-machine to a human-and-machine paradigm could be essential to overcome these hurdles.