Literature DB >> 24709404

Contribution of magnetic resonance imaging to the diagnosis of middle ear cholesteatoma: analysis of a series of 97 cases.

M Akkari1, J Gabrillargues2, N Saroul3, B Pereira4, M Russier3, T Mom3, L Gilain3.   

Abstract

OBJECTIVES: To evaluate the reliability of magnetic resonance imaging (MRI) for the diagnosis of middle ear cholesteatoma and to determine the contribution of each MRI sequence. PATIENTS AND METHODS: A series of 97 cases was reviewed, corresponding to 89 patients (43 women, 46 men). Each patient was assessed by the following MRI protocol: T1-weighted, T2-weighted, early contrast-enhanced T1-weighted, delayed contrast-enhanced T1-weighted, and diffusion-weighted sequences. All patients were operated, for the first time in 16 cases and for second-look surgery in 81 cases. Radiological findings were compared to surgical and histological findings. Sensitivity, specificity, positive predictive value, and negative predictive value were calculated for each sequence.
RESULTS: Seventy-four cholesteatomas were diagnosed at surgery. These lesions had a mean diameter of 8.29±5.46mm. The smallest cholesteatoma in this series was 2mm in diameter. Diffusion-weighted and delayed contrast-enhanced T1-weighted sequences had a sensitivity of 84.9% and 90.4%, a specificity of 87.5% and 75%, a positive predictive value of 95.4% and 91.7%, and a negative predictive value of 65.6% and 72%, respectively. T1-weighted, T2-weighted, and early contrast-enhanced T1-weighted sequences had a low specificity.
CONCLUSIONS: MRI is a reliable imaging modality for the diagnosis of middle ear cholesteatoma. Diffusion-weighted and delayed contrast-enhanced T1-weighted sequences were discriminant. In the context of postoperative follow-up of cholesteatoma, these sequences allow better selection of cases requiring second-look surgery.
Copyright © 2014 Elsevier Masson SAS. All rights reserved.

Entities:  

Keywords:  Delayed contrast-enhanced T1-weighted; Diffusion-weighted imaging; MRI; Middle ear cholesteatoma

Mesh:

Substances:

Year:  2014        PMID: 24709404     DOI: 10.1016/j.anorl.2013.08.002

Source DB:  PubMed          Journal:  Eur Ann Otorhinolaryngol Head Neck Dis        ISSN: 1879-7296            Impact factor:   2.080


  7 in total

1.  Utility of diffusion-weighted magnetic resonance imaging in the diagnosis of cholesteatoma and the influence of the learning curve.

Authors:  Leire Garcia-Iza; Amaia Guisasola; Ane Ugarte; Juan Jose Navarro; Miren Goiburu; Xabier Altuna
Journal:  Eur Arch Otorhinolaryngol       Date:  2018-07-28       Impact factor: 2.503

2.  Accuracy of turbo spin-echo diffusion-weighted imaging signal intensity measurements for the diagnosis of cholesteatoma.

Authors:  Burçe Özgen; Elif Bulut; Anıl Dolgun; Munir Demir Bajin; Levent Sennaroğlu
Journal:  Diagn Interv Radiol       Date:  2017 Jul-Aug       Impact factor: 2.630

3.  Investigation of the Serum Level of Vitamin D in Patients with Ear Cholesteatoma.

Authors:  Fatemeh Fanimolky; Maryam Amizadeh
Journal:  Iran J Otorhinolaryngol       Date:  2022-03

4.  Mastoid Cavity Obliteration with Cartilage Graft; Evaluation of 35 Patients.

Authors:  M Tayyar Kalcioglu; Ali Ozerk; Oguz Kadir Egilmez; Numan Kokten; Lokman Uzun; Yuksel Toplu; Muhammet Tekin
Journal:  Medeni Med J       Date:  2019-12-26

5.  Characterization of Skull Base Lesions Using Pseudo-Continuous Arterial Spin Labeling.

Authors:  B Geerts; D Leclercq; S Tezenas du Montcel; B Law-Ye; S Gerber; D Bernardeschi; D Galanaud; D Dormont; N Pyatigorskaya
Journal:  Clin Neuroradiol       Date:  2017-09-11       Impact factor: 3.649

6.  Optimal Duration of MRI Follow-up to Safely Identify Middle Ear Residual Cholesteatoma.

Authors:  A-L Fourez; M Akkari; G Gascou; P-H Lefevre; C Duflos; A Kaderbay; M Mondain; F Venail
Journal:  AJNR Am J Neuroradiol       Date:  2021-04-15       Impact factor: 4.966

Review 7.  Non-echoplanar diffusion weighted imaging in the detection of post-operative middle ear cholesteatoma: navigating beyond the pitfalls to find the pearl.

Authors:  Ravi K Lingam; Robert Nash; Anooj Majithia; Ali Kalan; Arvind Singh
Journal:  Insights Imaging       Date:  2016-08-24
  7 in total

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