Objective: This study aimed to evaluate the association between cochlear nerve canal dimensions and semicircular canal abnormalities and to determine the distribution of bony labyrinth anomalies in patients with cochlear nerve canal stenosis.
Method: This was a retrospective study in which high-resolution computed tomography images of paediatric patients with severe-to-profound sensorineural hearing loss were reviewed. A cochlear nerve canal diameter of 1.5 mm or less in the axial plane was classified as stenotic. Semicircular canals and other bony labyrinth morphology and abnormality were evaluated.
Results: Cochlear nerve canal stenosis was detected in 65 out of 265 ears (24 per cent). Of the 65 ears, 17 ears had abnormal semicircular canals (26 per cent). Significant correlation was demonstrated between cochlear nerve canal stenosis and semicircular canal abnormalities (p < 0.01). Incomplete partition type II was the most common accompanying abnormality of cochlear nerve canal stenosis (15 out of 65, 23 per cent).
Conclusion: Cochlear nerve canal stenosis is statistically associated with semicircular canal abnormalities. Whenever a cochlear nerve canal stenosis is present in a patient with sensorineural hearing loss, the semicircular canal should be scrutinised for presence of abnormalities.
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http://dx.doi.org/10.1017/S0022215120001334 | DOI Listing |
J Neurol Surg B Skull Base
February 2025
Department of Neurosurgery, UC San Diego Medical Center, San Diego, California, United States.
Many patients with neurofibromatosis type 2 (NF2) suffer from sensorineural hearing loss, and associated cochlear nerve compromise in NF2 patients makes auditory brainstem implant (ABI) an attractive treatment option. The long-term outcomes and benefits of the device are still being explored. A retrospective review was conducted for 11 ABI recipients at a single-institution tertiary center between November 2017 and August 2022.
View Article and Find Full Text PDFJ Neurol Surg B Skull Base
February 2025
Department of Head and Neck Surgery, David Geffen School of Medicine, University of California, Los Angeles, California, CA 90095, United States.
Cochlear-facial dehiscence (CFD) is a relatively new diagnosis which occurs when the bony partition between the labyrinthine segment of the facial nerve and the cochlea is dehiscent. This is considered one of several third window lesions which produce varying degrees of auditory and vestibular symptoms. Imaging studies have identified a consistently higher incidence of CFD when compared with the only histopathologic study present in the literature.
View Article and Find Full Text PDFJ Neurol Surg B Skull Base
February 2025
Department of Radiology, Faculty of Medicine, Kırıkkale University, Kırıkkale, Türkiye.
In the present study, we investigated the round window (RW) and neighboring anatomical structures using temporal computed tomography (CT) which are important for cochlear implant (CI) electrodes. In this retrospective study, the temporal CT images of 112 adult patients (45 males and 67 females) were evaluated. We classified mastoid pneumatization, and measured RW diameter, RW-carotid canal (CC) distance, RW-facial nerve mastoid segment (FNMS) distance, RW-pyramidal eminence distance, RW-jugular bulb (JB) distance, and RW-internal acoustic canal (IAC) distance.
View Article and Find Full Text PDFNeurosurgery
January 2025
Department of Neurological Surgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania, USA.
Background And Objectives: Jugular paragangliomas (JPG) pose a surgical challenge because of their vascularity and complex location. Stereotactic radiosurgery (SRS) offers a minimally invasive management for patients with JPG. Our aim was to evaluate outcomes of Gamma Knife radiosurgery (GKRS) for the treatment of JPG over the long term.
View Article and Find Full Text PDFEar Hear
January 2025
San Francisco Department of Otolaryngology - Head and Neck Surgery, University of California, San Francisco, California, USA.
Objectives: Cochlear implant (CI) user functional outcomes are challenging to predict because of the variability in individual anatomy, neural health, CI device characteristics, and linguistic and listening experience. Machine learning (ML) techniques are uniquely poised for this predictive challenge because they can analyze nonlinear interactions using large amounts of multidimensional data. The objective of this article is to systematically review the literature regarding ML models that predict functional CI outcomes, defined as sound perception and production.
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