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Detection of Cholesteatoma Using Diffusion Magnetic Resonance Imaging

Detection of Cholesteatoma Using Diffusion Magnetic Resonance Imaging

Status
UNKNOWN
Phases
Unknown
Study type
Observational
Source
ClinicalTrials.gov
Registry ID
NCT03305796
Enrollment
30
Registered
2017-10-10
Start date
2017-11-30
Completion date
2019-02-28
Last updated
2017-10-10

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Cholesteatoma

Brief summary

Cholesteatoma is a retraction pocket lined with squamous epithelium lined with keratin debris occurring within pneumatized spaces of the temporal bone. Cholesteatomas have a propensity for growth, bone destruction, and chronic infection.High-resolution computerized tomography is the method of choice for imaging the middle ear .

Detailed description

In patients with recurrent cholesteatoma, computerized tomography can show the extent of cholesteatoma in relation to the ossicles and mastoid process,but computerized tomography has a high negative predictive value if neither a soft-tissue mass nor bony destructions are shown.However, if a soft-tissue mass in the middle ear is seen on computerized tomography, diagnosis of the mass is not possible because cholesteatoma, mucoid secretion, granulation tissue and cholesterol granuloma can not be differentiated from one another on computerized tomography. Standard magnetic resonance imaging shows tissues better than computerized tomography,Therefore in patients with cholesteatoma, magnetic resonance imaging plays a complementary role to computerized tomography in the diagnostic workup, Although computerized tomography provides excellent Bony resolution for showing the anatomy, magnetic resonance imaging provides specificity in characterizing soft-tissue abnormalities shown on computerized tomography,How ever standard magnetic resonance imaging frequently fails to allow differentiation of cholesteatoma from other soft tissues or mucoid secretions, particularly in patients who had ear surgery. Recent studies of diffusion weighted magnetic resonance imaging show that it is sensitive to cholesteatoma tissue.Recent studies highlights the ability of diffusion weighted magnetic resonance imaging in differentiating cholesteatoma from granulation tissue in patients who have undergone mastoidectomy and also these imaging modalities help in the diagnosis of residual cholesteatoma. Diffusion weighted magnetic resonance imaging play an important role in diagnosis of retraction pockets . Diffusion weighted magnetic resonance imaging is based on the principle of random microscopic motion (Brownian motion) of water molecules.This diffusion of water molecules differs in each biological tissue, For example water molecules in cholesteatoma are less mobile giving rise to a hyper-intense signal, while in other tissues as granulation tissues, water molecules are more mobile thus appear less intense on diffusion weighted magnetic resonance imaging sequence.

Interventions

Patients with suspected cholesteatoma will have diffusion magnetic resonance imaging

Sponsors

Assiut University
Lead SponsorOTHER

Study design

Observational model
CASE_ONLY
Time perspective
PROSPECTIVE

Eligibility

Sex/Gender
ALL
Healthy volunteers
No

Inclusion criteria

* • all patients presented with suspected primary cholesteatoma ,high risk retraction pockets ,Suspected recurrent or residual cholesteatoma after surgery .

Exclusion criteria

* Contraindication to magnetic resonance imaging (e.g., pacemaker, metallic implant,cochlear implant Or claustrophobia).

Design outcomes

Primary

MeasureTime frameDescription
Detection of Cholesteatoma Using Diffusion Magnetic Resonance Imagingwith in one yearTo detect the ability of Diffusion Magnetic Resonance Imaging in detection of cholesteatoma as compared by post operative data

Contacts

Primary Contactahmed Abdel-Aleem, professor
abduleen@aun.edu.eg01222892745
Backup ContactMohamed Modather, lecturer
m.aboshanif@aun.edu.eg01061577266

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026