A Combined Extradural-Intradural Technique for an En Bloc Anterior Petrosectomy: A Cadaveric Feasibility Study.

Extradural–intradural drilling Internal acoustic canal Kawase approach Middle fossa One-piece Petroclival region Trigeminal landmarks

Journal

World neurosurgery
ISSN: 1878-8769
Titre abrégé: World Neurosurg
Pays: United States
ID NLM: 101528275

Informations de publication

Date de publication:
Apr 2019
Historique:
received: 20 10 2018
revised: 07 12 2018
accepted: 10 12 2018
medline: 15 1 2019
pubmed: 15 1 2019
entrez: 15 1 2019
Statut: ppublish

Résumé

The anterior petrosectomy approach is among the most popular for exposure of the petroclival region. However, the complexity of the anatomy, drilling time required, and risk of injury to neurovascular structures have made this procedure especially challenging. We have proposed a novel combined extradural-intradural technique for en bloc anterior petrosectomy-or one-piece Kawase-and have charted the landmarks that define its surgical boundaries. The approach was performed on 14 embalmed specimens. The one-piece Kawase approach consists of 3 extradural drilling steps, followed by incision of the dura and skeletonization of the superior petrosal sinus. The procedure culminates with 2 intradural drilling steps. The bone piece was then removed en bloc, and the maximum anteroposterior, superoinferior, and mediolateral lengths were recorded. The linear distances between the main neurovascular landmarks were also measured using a stereotactic navigation system. The mean measurements were 17.6 ± 2.6 mm for the anteroposterior distance, 10.5 ± 2.3 mm for the superoinferior distance, and 9.5 ± 2.6 mm for the mediolateral distance. The medial linear distance from the mandibular nerve/greater superficial petrosal nerve to the internal carotid artery was 6.8 ± 1.3 mm, to the facial hiatus was 11.6 ± 2.2 mm, and to the lateral internal acoustic canal was 17.9 ± 1.8 mm. The average distance from the porus trigeminus to the medial internal acoustic canal was 19.4 mm. The advantages of this technique include the wide exposure of the petroclival region, extensive visualization of critical structures via extradural and intradural corridors, and minimization of bone drilling, which could reduce heat damage. Clinical application of the illustrated technique is required to test its reliability in different pathological subsets.

Identifiants

pubmed: 30639606
pii: S1878-8750(18)32912-7
doi: 10.1016/j.wneu.2018.12.089
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e315-e323

Informations de copyright

Published by Elsevier Inc.

Auteurs

Flavia Dones (F)

Skull Base and Cerebrovascular Laboratory, University of California, San Francisco, California, USA.

Ioannis Kournoutas (I)

Skull Base and Cerebrovascular Laboratory, University of California, San Francisco, California, USA.

Vera Vigo (V)

Skull Base and Cerebrovascular Laboratory, University of California, San Francisco, California, USA.

Rina Di Bonaventura (R)

Skull Base and Cerebrovascular Laboratory, University of California, San Francisco, California, USA.

Kunal Raygor (K)

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

Ivan H El-Sayed (IH)

Skull Base and Cerebrovascular Laboratory, University of California, San Francisco, California, USA; Department of Otolaryngology-Head and Neck Surgery, University of California, San Francisco, California, USA.

Adib A Abla (AA)

Skull Base and Cerebrovascular Laboratory, University of California, San Francisco, California, USA; Department of Neurological Surgery, University of California, San Francisco, California, USA.

Roberto Rodriguez Rubio (RR)

Skull Base and Cerebrovascular Laboratory, University of California, San Francisco, California, USA; Department of Neurological Surgery, University of California, San Francisco, California, USA; Department of Otolaryngology-Head and Neck Surgery, University of California, San Francisco, California, USA. Electronic address: neurodriguez@gmail.com.

Classifications MeSH