scholarly journals Temporal Bone Hyperpneumatization and Tinnitus: Clinico-Radiological Evaluation Using CT Scan

2017 ◽  
Vol 3 (1) ◽  
Author(s):  
Sattar Al-Esawi ◽  
◽  
Ali Hasan ◽  
Deepak Takhtani ◽  
Sarwat Hussain ◽  
...  
Keyword(s):  
Ct Scan ◽  
Temporal Bone ◽  
Radiological Evaluation

A comparison of high resolution CT scan of temporal bone and operative findings in middle ear cholesteatoma

1993 ◽  
Vol 29 (5) ◽  
pp. 896
Author(s):  
Tae Beom Kweon ◽  
Hun Seong ◽  
Mal Soon Cheon ◽  
Hack Jin Kim ◽  
Keung Jae Jang ◽  
...  
Keyword(s):  
High Resolution ◽  
Ct Scan ◽  
Temporal Bone ◽  
Middle Ear ◽  
High Resolution Ct ◽  
Middle Ear Cholesteatoma ◽  
Operative Findings

X-linked deafness/incomplete partition type 3: Radiological evaluation of temporal bone and intracranial findings

2021 ◽  
Author(s):  
Safak Parlak ◽  
◽  
Ekim Gumeler ◽  
Levent Sennaroglu ◽  
Burce Ozgen Mocan ◽  
...  
Keyword(s):  
Temporal Bone ◽  
Radiological Evaluation ◽  
Incomplete Partition ◽  
Type 3

Three-Dimensional Imaging of the Temporal Bone Using a Helical CT Scan and Its Application in Patients with Cochlear Implantation

ORL ◽  
1996 ◽  
Vol 58 (6) ◽  
pp. 298-300 ◽  
Author(s):  
Tetsuo Himi ◽  
Akikatsu Kataura ◽  
Motomichi Sakata ◽  
Yoshihiro Odawara ◽  
Jun-ichi Satoh ◽  
...  
Keyword(s):  
Ct Scan ◽  
Temporal Bone ◽  
Cochlear Implantation ◽  
Three Dimensional ◽  
Helical Ct ◽  
Three Dimensional Imaging

Otopalatodigital syndrome type I: New temporal bone CT-scan sign in a case with a de novo novel mutation

2019 ◽  
Vol 70 (5) ◽  
pp. 306-309
Author(s):  
Marta Martínez-López ◽  
Ana Navedo ◽  
Reyes López De Mesa ◽  
Francisco Javier Cervera-Paz
Keyword(s):  
Ct Scan ◽  
Temporal Bone ◽  
De Novo ◽  
Novel Mutation ◽  
Type I ◽  
Syndrome Type ◽  
Temporal Bone Ct ◽  
Otopalatodigital Syndrome

Congenital internal auditory canal stenosis

2003 ◽  
Vol 117 (10) ◽  
pp. 784-787 ◽  
Author(s):  
Seung Kuk Baek ◽  
Sung Won Chae ◽  
Hak Hyun Jung
Keyword(s):  
Hearing Loss ◽  
High Resolution ◽  
Facial Nerve ◽  
Ct Scan ◽  
Sensorineural Hearing Loss ◽  
Temporal Bone ◽  
Nerve Palsy ◽  
Facial Nerve Palsy ◽  
Internal Auditory Canal ◽  
Canal Stenosis

Congenital internal auditory canal stenosis is a rare cause of sensorineural hearing loss in children. A retrospective analysis including clinical manifestation and radiological findings was made for seven patients who were diagnosed with congenital internal auditory canal stenosis from 1996 to 2002. Chief presenting symptoms were hearing loss, facial nerve palsy, dizziness, and tinnitus. Hearing loss including deafness was found in five cases, vestibular function loss in four cases, and profound functional loss of facial nerve in two cases. In all cases, the diameter of the internal auditory canal was less than 2 mm on high-resolution temporal bone computed tomography (CT) scan. Two cases revealed bilateral internal auditory canal stenosis, and others were unilaterally involved cases. Congenital internal auditory canal stenosis can be an important cause of sensorineural hearing loss, facial nerve palsy, and vestibular dysfunction. High resolution temporal bone CT scan and magnetic resonance (MR) imaging were important tools for diagnosis.

scholarly journals Pictorial review of MRI/CT Scan in congenital temporal bone anomalies, in patients for cochlear implant

2009 ◽  
Vol 19 (2) ◽  
pp. 99 ◽  
Author(s):  
SantoshS Gupta ◽  
ShailendraR Maheshwari ◽  
MilindV Kirtane ◽  
Nitin Shrivastav
Keyword(s):  
Cochlear Implant ◽  
Ct Scan ◽  
Temporal Bone ◽  
Pictorial Review ◽  
Bone Anomalies

Neuroradiological Detection of Small and Intracanalicular Acoustic Tumors: An Emphasis on CO2 Contrast-enhanced Computed Tomographic Cisternography

Neurosurgery ◽  
1982 ◽  
Vol 11 (6) ◽  
pp. 733-738 ◽  
Author(s):  
W. Craig Clark ◽  
James D. Acker ◽  
Jon H. Robertson ◽  
Gale Gardner ◽  
John J. Dusseau ◽  
...  
Keyword(s):  
Ct Scan ◽  
Temporal Bone ◽  
Intravenous Contrast ◽  
Ct Cisternography ◽  
Computed Tomographic ◽  
Contrast Enhanced ◽  
Acoustic Tumor ◽  
Contrast Ct

Abstract Seventy patients suspected clinically of having an acoustic tumor were evaluated using the computed tomographic (CT) scan as the initial neuroradiological procedure, followed by CO2 contrast CT cisternography in cases where the intravenous contrast-enhanced scan did not reveal any lesion. Forty-eight gas CT cisternograms revealed 10 small acoustic tumors, 2 of which were totally intracanalicular. The authors present a review of the basic CT anatomy of the temporal bone as it relates to acoustic tumors. Based upon the ease of performance of the procedure, the low postexamination morbidity, and the excellent diagnostic results, CO2 CT cisternography is recommended as the procedure of choice in the diagnosis of small and intracanalicular acoustic tumors.

scholarly journals Automatic segmentation of inner ear on CT-scan using auto-context convolutional neural network

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Raabid Hussain ◽  
Alain Lalande ◽  
Kibrom Berihu Girum ◽  
Caroline Guigou ◽  
Alexis Bozorg Grayeli
Keyword(s):  
Neural Network ◽  
Convolutional Neural Network ◽  
Ct Scan ◽  
Inner Ear ◽  
Temporal Bone ◽  
Ct Images ◽  
Patient Specific ◽  
Micro Ct ◽  
Data Set ◽  
3D Vision

AbstractTemporal bone CT-scan is a prerequisite in most surgical procedures concerning the ear such as cochlear implants. The 3D vision of inner ear structures is crucial for diagnostic and surgical preplanning purposes. Since clinical CT-scans are acquired at relatively low resolutions, improved performance can be achieved by registering patient-specific CT images to a high-resolution inner ear model built from accurate 3D segmentations based on micro-CT of human temporal bone specimens. This paper presents a framework based on convolutional neural network for human inner ear segmentation from micro-CT images which can be used to build such a model from an extensive database. The proposed approach employs an auto-context based cascaded 2D U-net architecture with 3D connected component refinement to segment the cochlear scalae, semicircular canals, and the vestibule. The system was formulated on a data set composed of 17 micro-CT from public Hear-EU dataset. A Dice coefficient of 0.90 and Hausdorff distance of 0.74 mm were obtained. The system yielded precise and fast automatic inner-ear segmentations.

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