Infratemporal Fossa Abscess Drainage via a Trans-Oral Image Guided Approach.

Deep neck abscess case report head and neck surgery image-guided surgery systems infratemporal fossa

Journal

Turkish archives of otorhinolaryngology
ISSN: 2667-7474
Titre abrégé: Turk Arch Otorhinolaryngol
Pays: Turkey
ID NLM: 101682806

Informations de publication

Date de publication:
Jun 2023
Historique:
received: 02 02 2023
accepted: 21 05 2023
medline: 20 9 2023
pubmed: 20 9 2023
entrez: 20 9 2023
Statut: ppublish

Résumé

Deep neck space infections can cause antibiotic-resistant abscesses that can impinge on vital anatomical structures. Image-guided surgery systems using preoperative computed tomography (CT) imaging can be utilized to characterize pathology and assist surgeons in avoiding iatrogenic injury. This manuscript explores the presentation and unique CT-guided surgical management of an infratemporal fossa abscess in a 48-year-old male who presented with left-sided dental pain and facial swelling that had progressed despite antibiotics and dental extraction. CT-guided imaging can assist in localizing and protecting vital anatomical structures during deep neck abscess drainage and can prevent the potential risks and complications of classic surgical approaches.

Identifiants

pubmed: 37727817
doi: 10.4274/tao.2023.2022-10-10
pii: 61700
pmc: PMC10506520
doi:

Types de publication

Case Reports

Langues

eng

Pagination

91-94

Informations de copyright

©Copyright 2023 by Turkish Otorhinolaryngology-Head and Neck Surgery Society / Turkish Archives of Otorhinolaryngology is published by Galenos Publishing House.

Déclaration de conflit d'intérêts

Conflict of Interest: There is no conflict of interest to disclose.

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Auteurs

Adam Morin (A)

Department of Otolaryngology, Rush University Medical Center, Chicago, United States.

Matthew J Urban (MJ)

Department of Otolaryngology, Rush University Medical Center, Chicago, United States.

Samer Al-Khudari (S)

Department of Otolaryngology, Rush University Medical Center, Chicago, United States.

Classifications MeSH