CC BY-NC-ND 4.0 · Indian Journal of Neurosurgery 2024; 13(02): 119-126
DOI: 10.1055/s-0042-1750296
Original Article

Predicting the Position of the Internal Landmarks of Middle Cranial Fossa Using the Zygomatic Root: An Attempt to Simplify Its Complexity

Deepika Poonia*
1   Department of Anatomy, Maulana Azad Medical College, New Delhi, India
,
Surbhi Wadhwa
1   Department of Anatomy, Maulana Azad Medical College, New Delhi, India
,
Anita Mahajan
1   Department of Anatomy, Maulana Azad Medical College, New Delhi, India
,
Sabita Mishra
1   Department of Anatomy, Maulana Azad Medical College, New Delhi, India
› Institutsangaben

Abstract

Subtemporal–extradural middle cranial fossa (MCF) surgical approach is used to access pathologies involving anterior or posterior part of the petrous bone or its apex. A reliable and precise identification of the important internal landmarks is key to a safe surgery with decreased incidence of morbidity. The zygomatic root (ZR) serves as a reliable reference guide for the surgeon when navigating through the MCF. The aim of the study is to establish an association between the extent of the ZR to the key internal foramina and bony prominences in lateral fossa of the MCF to help the neurosurgeon to safely navigate through the maze of structures of the MCF. The study demonstrates that the ZR is a reliable marker to estimate and predict the position of foramen ovale, foramen spinosum, and trigeminal fossa but not for the position of hiatus of greater petrosal nerve or the arcuate eminence. Successful localization of the foramen ovale, spinosum, and trigeminal fossa would reduce intraoperative time, ensure lesser retraction of brain, and hence reduce patient morbidity while performing surgeries on lesions of/in the internal acoustic canal, petroclival junctions, cerebellopontine angles, basilar artery, or transovale cannulation for the treatment of trigeminal neuralgia.

* Presently working at University College of Medical Sciences, Delhi, India




Publikationsverlauf

Artikel online veröffentlicht:
27. Juni 2022

© 2022. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial-License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/)

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