Literature DB >> 23093315

The role of diffusion-weighted magnetic resonance imaging in cholesteatoma diagnosis and follow-up. Study with the diffusion PROPELLER technique.

Manuel Mateos-Fernández1, Fernando Mas-Estellés, Carlos de Paula-Vernetta, Abel Guzmán-Calvete, Ricardo Villanueva-Martí, Constantino Morera-Pérez.   

Abstract

INTRODUCTION AND
OBJECTIVES: The diagnosis of cholesteatoma is based on clinical evaluation and computed tomography. New non-echo-planar diffusion-weighted magnetic resonance imaging (MRI) techniques, without intravenous contrast, are capable of differentiating cholesteatoma from inflammatory tissue, cholesterol granuloma and granulation tissues. The technique is very helpful in differential diagnosis of cholesteatoma, mainly after canal wall-up tympanoplasty surgery, to avoid routine second-look surgery in these patients. Congenital cholesteatoma and difficult cases can be detected and correctly diagnosed as well. The aim of this study was to evaluate sensitivity, specificity, positive predictive value and negative predictive value of the diffusion-weighted PROPELLER MRI in cholesteatoma diagnosis.
METHODS: A prospective study was performed on 52 patients. Clinical and surgical findings were correlated with diffusion-weighted PROPELLER MRI results.
RESULTS: Sensitivity, specificity and positive and negative predictive values were 92.85%, 92.30, 92.85 and 92.30%, respectively.
CONCLUSIONS: Diffusion-weighted PROPELLER imaging is an effective technique in cholesteatoma diagnosis. It is capable of detecting lesions larger than 2mm.
Copyright © 2012 Elsevier España, S.L. All rights reserved.

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Year:  2012        PMID: 23093315     DOI: 10.1016/j.otorri.2012.05.002

Source DB:  PubMed          Journal:  Acta Otorrinolaringol Esp        ISSN: 0001-6519


  8 in total

1.  Comparative study of image quality between axial T2-weighted BLADE and turbo spin-echo MRI of the upper abdomen on 3.0 T.

Authors:  Lin Zhang; ChunMei Tian; PeiYuan Wang; Liang Chen; XiJin Mao; ShanShan Wang; Xu Wang; JingMin Dong; Bin Wang
Journal:  Jpn J Radiol       Date:  2015-08-02       Impact factor: 2.374

2.  Computed tomography and magnetic resonance fusion imaging in cholesteatoma preoperative assessment.

Authors:  Agustín Campos; Federico Mata; Rosa Reboll; María Luisa Peris; Jorge Basterra
Journal:  Eur Arch Otorhinolaryngol       Date:  2016-12-05       Impact factor: 2.503

3.  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

4.  Rapid diffusion-weighted MRI for the investigation of recurrent temporal bone cholesteatoma.

Authors:  Richard G Kavanagh; Stephen Liddy; Anne G Carroll; Yvonne M Purcell; Anna E Smyth; S Guan Khoo; Graeme McNeill; Dermot E Malone; Ronan P Killeen
Journal:  Neuroradiol J       Date:  2020-04-27

5.  Influence of blade width and magnetic field strength on the ADC on PROPELLER DWI in head and neck.

Authors:  Tetsuo Sumikawa; Hidetake Yabuuchi; Chiharu Sumikawa; Yoshiteru Nakashima; Gouji Miura
Journal:  Neuroradiol J       Date:  2019-08-13

6.  Use of non-echo-planar diffusion-weighted MR imaging for the detection of cholesteatomas in high-risk tympanic retraction pockets.

Authors:  A Alvo; C Garrido; Á Salas; G Miranda; C E Stott; P H Delano
Journal:  AJNR Am J Neuroradiol       Date:  2014-05-08       Impact factor: 3.825

7.  Role of non-echo-planar diffusion-weighted images in the identification of recurrent cholesteatoma of the temporal bone.

Authors:  Andrea Romano; Edoardo Covelli; Veronica Confaloni; Maria Camilla Rossi-Espagnet; Giulia Butera; Maurizio Barbara; Alessandro Bozzao
Journal:  Radiol Med       Date:  2019-09-20       Impact factor: 3.469

Review 8.  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
  8 in total

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