ArticleSurgical and radiologic anatomy : SRA2024
3D anatomy of the supraorbital and greater occipital nerve trajectories.
Article in Surgical and radiologic anatomy : SRA, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- Efficacy analysis of combined nerve combing and decompression for occipital neuralgia based on the classification of neurovascular relationships.Annals of medicine · 2026Article
- Clinical Implications of Anatomical Variations in Nerves and Adjacent Structures for Regional Anesthesia: A Narrative Review.Pain and therapy · 2026Review
- In-vitro study of the third occipital nerve near the C2-3 facet joint and the association between its morphology and the presence of a third occipital nerve notch.Brain & spine · 2025Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeThis research aims to enhance understanding of the anatomy of the supraorbital nerve (SON) and greater occipital nerve (GON), focusing on their exit points, distal trajectories, and variability, utilizing a novel 3D representation.
methodsTen cadaveric specimens underwent meticulous dissection, and 3D landmarks were registered. Models were generated from CT scans, and a custom 3D method was employed to visualize nerve trajectories. Measurements, including lengths and distances, were obtained for the SON and GON.
resultsThe SON exhibited varied exit points, with the lateral branches being the longest. The GON showed distinct branching patterns, which are described relative to various anatomical reference points and planes. No systematic left-right differences were observed for either nerve. 3D analysis revealed significant interindividual variability in nerve trajectories. The closest approximation between the SON and GON occurred between lateral branches.
conclusionThe study introduces a novel 3D methodology for analyzing the SON and GON, highlighting considerable anatomical variation. Understanding this variability is crucial for clinical applications and tools targeting the skull innervation. The findings serve as a valuable reference for future research, emphasizing the necessity for personalized approaches in innervation-related interventions.
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Registered trials
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