scholarly journals Analyzing the Role of High Resolution Computed Tomography of Temporal Bone in Acquired Middle Ear Cholesteatoma

Author(s):  
Nisha Abraham ◽  
2013 ◽  
Vol 6 ◽  
pp. CMENT.S10681 ◽  
Author(s):  
Mohammed A. Gomaa ◽  
Abdel Rahim A. Abdel Karim ◽  
Hosny S. Abdel Ghany ◽  
Ahmed A. Elhiny ◽  
Ahmed A. Sadek

Background Acquired cholesteatomas are commonly seen in patients less than 30 years. There is a typical history of recurrent middle ear infections with tympanic membrane perforation. The diagnosis of cholesteatoma is usually made on otologic examination. Objective The aim of the work was to study the role of high resolution computed tomography (HRCT) in detecting, evaluating, and diagnosing middle ear cholesteatoma. Patients and methods This was a prospective study that included 56 consecutive patients with chronic suppurative otitis media, unsafe type cholesteatomas. Each patient was subjected to full clinical evaluation, and HRCT examination. Intravenous contrast media was used in some patients with suspected intracranial complication. Preoperative radiological data were correlated with data related to surgical findings. Results The study showed that a high incidence of cholesteatoma in the third decade of life. The scutum and lateral attic wall were the most common bony erosions in the middle ear bony wall (64.3%), and the incus was the most eroded ossicle in the middle ear (88.2%). Sclerosing of mastoid air cells were encountered in 60.7% of patients and the lateral semicircular canal was affected in 9%, while facial canal erosion was found in 21.4%. Temporal bone complications are more common than intracranial complications. HRCT findings were compared with operative features; the comparative study included the accuracy and sensitivity of HRCT in detecting cholesteatoma (92.8%), its location and extension (96.4%), ossicular chain erosion (98%), labyrinthine fistula and intracranial complications (100%). Conclusion The important role of HRCT scannig lies on the early detection of cholesteatoma, and more conservative surgical procedures can be used to eradicate the disease.


1982 ◽  
Vol 6 (4) ◽  
pp. 711-720 ◽  
Author(s):  
Chat Virapongse ◽  
Stephen L. G. Rothman ◽  
Clarence Sasaki ◽  
E. Leon Kier

2006 ◽  
Vol 18 (05) ◽  
pp. 214-221 ◽  
Author(s):  
CHIA-FONE LEE ◽  
PEIR-RONG CHEN ◽  
WEN-JENG LEE ◽  
JYH-HORNG CHEN ◽  
TIEN-CHEN LIU

In order to present a systematic and practical approach that uses high-resolution computed tomography (HRCT) to derive models of the middle ear for finite element analysis (FEA). This prospective study included 31 subjects with normal hearing and no previous otological disorders. Temporal bone images obtained from 15 right ears and 16 left ears were used for evaluation and reconstruction. High-resolution computed tomography of temporal bone was performed using simultaneous acquisition of 16 sections with a collimated slice thickness of 0.625 mm. All images were transferred to an Amira visualization system for 3D reconstruction. The created 3-D model was translated into two commercial modeling packages, Patran and ANSYS, for finite element analysis. The characteristic dimensions of the model were measured and compared with previous published histological section data. This result confirms that the geometric model created by the proposed method is accurate except the tympanic membrane is thicker than that of histological section method. No obvious difference in the geometrical dimension between right and left ossicles was found (p > 0.05). The 3D model created by finite element method and predicted umbo and stapes displacements are close to the bounds of the experimental curves of Nishihara's, Huber's, and Gan's data across the frequency range of 100-8000 Hz. The model includes a description of the geometry of the middle ear components, and dynamic equations of vibration. The proposed method is quick, practical, low cost and most importantly, non-invasive as compared with histological section methods.


Author(s):  
Prakash S. Handi ◽  
Mallikarjun N. Patil ◽  
Nisha P.

<p class="abstract"><strong>Background:</strong> <span lang="EN-IN">Conventional radiological methods like X-ray mastoid have limited ability to delineate the details of the complex temporal bone and cochlea-vestibular anatomy and disease pathology. This can be overcome by the use of High resolution computed tomography (HRCT) evaluation of the temporal bone. HRCT is helpful in evaluating the anatomy and pathology type and extent of disease, thereby helps in preoperative planning. </span></p><p class="abstract"><strong>Methods:</strong> <span lang="EN-IN">The CT scan of forty five patients attending the outpatient department of otorhinolaryngology in a tertiary care centre between August 2014 to August 2017 was evaluated in this study. Each CT scan was interpreted by an otolaryngologist and a radiologist and interpretation was by consensus. The data collected was evaluated and results are reported as rates and proportions (%).  </span></p><p class="abstract"><strong>Results:</strong> <span lang="EN-IN">The study evaluated CT scan of 45 patients of which 35 were male patients and 10 were female patients with age ranging from 5 years to 75 years. Most of these patients belonged to the 21-30, 31-40 age groups [9 (20%) in each group]. Infections of middle ear cleft (all with cholesteatoma), fractures of the temporal bone, anomalies and tumors of the external auditory canal and middle ear were the pathologies observed in these CT scans with infection (otomastoiditis) [23 (51.1%)] being the most common pathology observed. </span></p><p class="abstract"><strong>Conclusions:</strong> <span lang="EN-IN">Pre-operative CT scan may not only help in identifying the nature, extent of infectious disease including ossicular, bony erosions; it may also identify anomalies in the temporal bone and surrounding structures. Thus, HRCT temporal bone will help the surgeon in planning effective surgical strategy, reducing morbidity during the surgery.</span></p>


Author(s):  
HIREN DOSHI ◽  
KARNADEV SOLNAKI ◽  
MEETA BATHLA ◽  
ATUL KANSARA ◽  
NAVDEEP CHAVDA ◽  
...  

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