• Ummey Hani, Graham G Mulvaney, Matthew D O'Brien, Sarah Jernigan, Paul Kim, Christopher Holland, Matthew J McGirt, and Michael A Bohl.
• Carolina Neurosurgery & Spine Associates, Charlotte, North Carolina, USA; SpineFirst, Atrium Health, Charlotte, North Carolina, USA.
• World Neurosurg. 2023 Mar 1; 171: 115123115-123.

BackgroundBibliometric analyses of the scientific literature have grown increasingly popular in the past few decades. However, patent bibliometric studies, evaluation of technological literature, have not yet been applied in neurosurgery.ObjectiveTo perform a pilot patent bibliometric analysis of the top 100 most cited patents in cranial neurosurgery.MethodsThe Lens was used to query multiple databases, to select the top 100 cranial neurosurgical patents based upon forward patent citations. These were organized into 9 categories based on technological descriptors and were evaluated based on the earliest priority date, year issued, and expiration status, among others.ResultsThe top 100 most cited patents included technology underlying 3D navigation (n = 31), pharmacology and implants (n = 20), vascular occlusion (n = 5), craniotomy closure (n = 9), focal lesioning and tissue resection (n = 8), brain and systemic cooling (n = 5), neuroendoscopy (n = 8), neuromonitoring and stimulation (6), and technologies improving surgeon performance (n = 8). Ninety-six patents were filed in the United States, 72 were expired, 19 are still active, and 9 were listed as inactive. The highest number of patents was applied for from the mid-1990s to the mid-2000s. Demonstrated trends showed no meaningful correlation between patent rank and earliest priority date (linear trendline y = 0.7107 x -1367.5; R2 = 0.0671), while a very strong correlation was found between patent rank and citations per year (power trendline y = 127.93 x -1.094; R2 = 0.8579).ConclusionsPatent bibliometrics allow evaluation of neurosurgical advancements from the past and enable subsequent development of cutting-edge technology in the future. The described method is a reproducible and reliable technique for evaluating our field's patent literature.Copyright © 2022 Elsevier Inc. All rights reserved.

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