Stapediovestibular dislocation with pneumolabyrinth

2007 ◽  
Vol 122 (4) ◽  
pp. 419-421 ◽  
Author(s):  
S Nishiike ◽  
Y Hyo ◽  
H Fukushima
Keyword(s):  
Computed Tomography ◽  
High Resolution ◽  
Middle Ear ◽  
Penetrating Trauma ◽  
Oval Window ◽  
Rare Entity ◽  
High Resolution Computed Tomography ◽  
Perilymphatic Fistula ◽  
Computed Tomography Scans

AbstractTraumatic luxation of the stapes into the vestibule is a rare entity, and the disease complicated with pneumolabyrinth is extremely rare. We report the case of a 72-year-old woman with pneumolabyrinth associated with a stapediovestibular dislocation. The patient presented with vertigo and nystagmus following penetrating trauma to the middle ear. High resolution computed tomography scans demonstrated air in the vestibule and dislocation of the stapes. Exploratory tympanotomy demonstrated oozing of the perilymph from the oval window and depression of the stapes into the vestibule. Pneumolabyrinth and stapes luxation detected by high resolution computed tomography should be predictive of a perilymphatic fistula.

Computed tomography and magnetic resonance imaging findings for primary middle-ear carcinoma

2013 ◽  
Vol 127 (6) ◽  
pp. 578-583 ◽  
Author(s):  
F Zhang ◽  
Y Sha
Keyword(s):  
Computed Tomography ◽  
Magnetic Resonance ◽  
High Resolution ◽  
Middle Ear ◽  
Bone Destruction ◽  
Imaging Findings ◽  
Resonance Imaging ◽  
High Resolution Computed Tomography ◽  
Post Contrast ◽  
Computed Tomography Scans

AbstractObjective:This study aimed to investigate the computed tomography and magnetic resonance imaging findings of primary middle-ear carcinoma.Methods:In this retrospective study of 13 patients with primary middle-ear carcinoma, we collected pre- and post-contrast magnetic resonance images for all 13 cases, high-resolution computed tomography scans for 11 cases, and conventional computed tomography scans with contrast for 2 cases.Results:Soft-tissue masses were mainly located in the tympanum, tympanic sinus and deep within the external auditory canal, and involved the jugular fossa (9 of 13 patients), middle cranial fossa (5/13), parotid gland (2/13) and temporomandibular joint fossa (1/13). An irregular, ‘moth-eaten’ bone destruction pattern was seen on high-resolution computed tomography images, most commonly in the eustachian tube (9/13), jugular foramen (9/13) and facial nerve canal (7/13). On non-contrast magnetic resonances images, masses were isointense or slightly hypointense on T1-weighted images, and isointense or slightly hyperintense on T2-weighted images. On post-contrast images, lesions were moderately and homogeneously enhanced in seven cases and inhomogeneously enhanced in six.Conclusion:High-resolution computed tomography precisely detects regions of bone destruction, whereas MRI can better assess soft-tissue tumour margins, intracranial extension and vessel patency. Eustachian tube erosion is an important characteristic of primary middle-ear carcinoma.

scholarly journals High Resolution Computed Tomography (HRCT) Imaging Findings of Oval Window Atresia with Surgical Correlation

2020 ◽  
Vol 49 (6) ◽  
pp. 346-353
Author(s):  
Hau Wei Khoo ◽  
Chih Ching Choong ◽  
Seng Beng Yeo ◽  
Julian PN Goh ◽  
Tiong Yong Tan
Keyword(s):  
Computed Tomography ◽  
High Resolution ◽  
Facial Nerve ◽  
Middle Ear ◽  
Ossicular Chain ◽  
Oval Window ◽  
Imaging Findings ◽  
High Resolution Computed Tomography ◽  
Facial Nerve Canal ◽  
Temporal Bones

Introduction: Isolated oval window atresia (OWA) is a rare cause of congenital conductive middle ear deafness and may be overlooked owing to the normal appearance of the external ear. This anomaly has been previously described, although the published numbers with both imaging and surgical findings are few. Our aim is to correlate the imaging features of OWA with intraoperative findings. Materials and Methods: This is a single-centre retrospective evaluation of patients who were diagnosed with OWA and who received surgery from January 1999 to July 2006. No new case was diagnosed after 2006 to the time of preparation of this manuscript. High resolution computed tomography (HRCT) imaging of the temporal bones of the patients were retrospectively evaluated by 2 head and neck radiologists. Images were evaluated for the absence of the oval window, ossicular chain abnormalities, position of the facial nerve canal, and other malformations. Imaging findings were then correlated with surgical findings. Results: A total of 9 ears in 7 patients (two of whom with bilateral lesions) had surgery for OWA. All patients had concomitant findings of absent stapes footplate with normal, deformed or absent stapes superstructure and an inferiorly displaced facial nerve canal. HRCT was sensitive in identifying OWA and associated ossicular chain and facial nerve abnormalities, which were documented surgically. Conclusion: OWA is a rare entity that can be diagnosed with certainty on HRCT, best visualised on coronal plane. Imaging findings of associated middle ear abnormalities, position of the facial nerve canal, which is invariably mal-positioned, and associated deformity of the incus are important for presurgical planning and consent. Ann Acad Med Singapore 2020;49:285–93 Ann Acad Med Singapore 2020;49:346–53 Key words: Absent oval window, Conductive hearing loss, Temporal bone

scholarly journals Radiomics of high-resolution computed tomography for the differentiation between cholesteatoma and middle ear inflammation: effects of post-reconstruction methods in a dual-center study

2020 ◽  
Author(s):  
Christophe T. Arendt ◽  
Doris Leithner ◽  
Marius E. Mayerhoefer ◽  
Peter Gibbs ◽  
Christian Czerny ◽  
...  
Keyword(s):  
Computed Tomography ◽  
High Resolution ◽  
Middle Ear ◽  
Characteristic Curve ◽  
High Resolution Computed Tomography ◽  
Probability Of Error ◽  
Haar Wavelet Transform ◽  
Reconstruction Methods ◽  
The Impact ◽  
Center Study

Abstract Objectives To evaluate the performance of radiomic features extracted from high-resolution computed tomography (HRCT) for the differentiation between cholesteatoma and middle ear inflammation (MEI), and to investigate the impact of post-reconstruction harmonization and data resampling. Methods One hundred patients were included in this retrospective dual-center study: 48 with histology-proven cholesteatoma (center A: 23; center B: 25) and 52 with MEI (A: 27; B: 25). Radiomic features (co-occurrence and run-length matrix, absolute gradient, autoregressive model, Haar wavelet transform) were extracted from manually defined 2D-ROIs. The ten best features for lesion differentiation were selected using probability of error and average correlation coefficients. A multi-layer perceptron feed-forward artificial neural network (MLP-ANN) was used for radiomics-based classification, with histopathology serving as the reference standard (70% of cases for training, 30% for validation). The analysis was performed five times each on (a) unmodified data and on data that were (b) resampled to the same matrix size, and (c) corrected for acquisition protocol differences using ComBat harmonization. Results Using unmodified data, the MLP-ANN classification yielded an overall median area under the receiver operating characteristic curve (AUC) of 0.78 (0.72–0.84). Using original data from center A and resampled data from center B, an overall median AUC of 0.88 (0.82–0.99) was yielded, while using ComBat harmonized data, an overall median AUC of 0.89 (0.79–0.92) was revealed. Conclusion Radiomic features extracted from HRCT differentiate between cholesteatoma and MEI. When using multi-centric data obtained with differences in CT acquisition parameters, data resampling and ComBat post-reconstruction harmonization clearly improve radiomics-based lesion classification. Key Points • Unenhanced high-resolution CT coupled with radiomics analysis may be useful for the differentiation between cholesteatoma and middle ear inflammation. • Pooling of data extracted from inhomogeneous CT datasets does not appear meaningful without further post-processing. • When using multi-centric CT data obtained with differences in acquisition parameters, post-reconstruction harmonization and data resampling clearly improve radiomics-based soft-tissue differentiation.

Pre-operative high resolution computed tomography scans for cholesteatoma: Has anything changed?

2014 ◽  
Vol 35 (4) ◽  
pp. 508-513 ◽  
Author(s):  
Jia Hui Ng ◽  
Edward Zhiyong Zhang ◽  
Sue Rene Soon ◽  
Vanessa Yee Jueen Tan ◽  
Tiong Yong Tan ◽  
...  
Keyword(s):  
Computed Tomography ◽  
High Resolution ◽  
High Resolution Computed Tomography ◽  
Computed Tomography Scans

Visualization of the middle ear with high resolution computed tomography and superfine fiberoptic videomicroendoscopy

1998 ◽  
Vol 255 (6) ◽  
pp. 277-280 ◽  
Author(s):  
T. S. Karhuketo ◽  
P. S. Dastidar ◽  
E. M. Laasonen ◽  
M. M. Sipilä ◽  
H. J. Puhakka
Keyword(s):  
Computed Tomography ◽  
High Resolution ◽  
Middle Ear ◽  
High Resolution Computed Tomography

scholarly journals Complete Disappearance of Lung Abnormalities on High-Resolution Computed Tomography: A Case of Histiocytosis X

2007 ◽  
Vol 14 (4) ◽  
pp. 235-237 ◽  
Author(s):  
Sergio Negrin-Dastis ◽  
Dominique Butenda ◽  
Jacques Dorzee ◽  
Jacques Fastrez ◽  
Jean-Paul d’Odémont
Keyword(s):  
Computed Tomography ◽  
High Resolution ◽  
Lung Biopsy ◽  
Langerhans Cell Histiocytosis ◽  
Complete Disappearance ◽  
High Resolution Computed Tomography ◽  
Pulmonary Langerhans Cell Histiocytosis ◽  
Lung Abnormalities ◽  
Computed Tomography Scans

A case of pulmonary Langerhans cell histiocytosis, proved by both lung high-resolution computed tomography and lung biopsy, is described. Following smoking cessation, lung nodules and cysts gradually disappeared on serial computed tomography scans, with complete clearance of the lesions after 12 months. The role of tobacco smoking is discussed, in detail, against the background of the literature.

scholarly journals Hard-Tissue Debris Accumulation Analysis by High-Resolution Computed Tomography Scans

2009 ◽  
Vol 35 (7) ◽  
pp. 1044-1047 ◽  
Author(s):  
Frank Paqué ◽  
Andres Laib ◽  
Hanspeter Gautschi ◽  
Matthias Zehnder
Keyword(s):  
Computed Tomography ◽  
High Resolution ◽  
Hard Tissue ◽  
High Resolution Computed Tomography ◽  
Debris Accumulation ◽  
Computed Tomography Scans

The Role of High Resolution Computed Tomography in Evaluating Disease of the Middle Ear

1982 ◽  
Vol 6 (4) ◽  
pp. 711-720 ◽  
Author(s):  
Chat Virapongse ◽  
Stephen L. G. Rothman ◽  
Clarence Sasaki ◽  
E. Leon Kier
Keyword(s):  
Computed Tomography ◽  
High Resolution ◽  
Middle Ear ◽  
High Resolution Computed Tomography
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