Immersive Surgical Anatomy of the Craniometric Points.

cerebral cortex cranial sutures craniometric points keyholes motor cortex speech area vascular landmarks ventricular access volumetric models

Journal

Cureus
ISSN: 2168-8184
Titre abrégé: Cureus
Pays: United States
ID NLM: 101596737

Informations de publication

Date de publication:
15 Jun 2020
Historique:
entrez: 21 7 2020
pubmed: 21 7 2020
medline: 21 7 2020
Statut: epublish

Résumé

Craniometric points (CPs) have been used in neurosciences since the 1800s. Localization of the CPs allows for the identification of crucial intracranial structures. Despite the contribution of advanced technology to surgery, the knowledge of these points remains crucial for surgical planning and intraoperative orientation. The understanding of these crucial points can be facilitated with the use of three-dimensional technology combined with anatomical dissections. The present study is part of a stereoscopic collection of volumetric models (VMs) obtained from cadaveric dissections that depict the relevant anatomy of the CPs. Five embalmed heads and two dry skulls have been used to depict these points. After the anatomical dissection, stereoscopic images and VMs were generated to show the correlation between external and internal landmarks. The CPs identified were divided into sutures, suture junctions, prominences and depressions, and cortical surface landmarks. The VMs represent an interactive way to define these points easily and their correlation with different intracranial structures (vascular structure, ventricle cavity, and Brodmann's areas).

Identifiants

pubmed: 32685312
doi: 10.7759/cureus.8643
pmc: PMC7366040
doi:

Types de publication

Journal Article

Langues

eng

Pagination

e8643

Informations de copyright

Copyright © 2020, Vigo et al.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

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Auteurs

Vera Vigo (V)

Neurological Surgery, University of California, San Francisco, USA.

Kimberly Cornejo (K)

Neurological Surgery, University of California, San Francisco, USA.

Lizbeth Nunez (L)

Neurological Surgery, University of California, San Francisco, USA.

Adib Abla (A)

Neurological Surgery, University of California, San Francisco, USA.

Roberto Rodriguez Rubio (R)

Neurological Surgery, University of California, San Francisco, USA.

Classifications MeSH