MRI of middle ear cholesteatoma: The importance of observer reliance from diffusion sequences.
DWI
MRI
cholesteatoma
diffusion
reliance level
Journal
Journal of neuroimaging : official journal of the American Society of Neuroimaging
ISSN: 1552-6569
Titre abrégé: J Neuroimaging
Pays: United States
ID NLM: 9102705
Informations de publication
Date de publication:
Jan 2022
Jan 2022
Historique:
revised:
30
07
2021
received:
21
05
2021
accepted:
01
08
2021
pubmed:
17
8
2021
medline:
19
3
2022
entrez:
16
8
2021
Statut:
ppublish
Résumé
Diffusion-weighted imaging(DWI) in MRI has been developed as an important tool for the detection of cholesteatoma. Various DWI sequences are available. This study aims to evaluate the importance of the observer's reliance level for the detection of cholesteatoma. Forty patients meeting the following criteria were included in the study: (1) chronic otitis media, (2) preoperative MRI including various DWI sequences, and (3) middle-ear surgery. The MRI protocol contained the following sequences: (1) axial and (2) coronal echoplanar imaging (EPI) readout-segmented (RESOLVE) DWI with Trace acquisition and (3) coronal non-EPI half-Fourier acquired single-shot turbo spin-echo (HASTE) DWI. Cholesteatoma diagnosis was based on standard diagnostic criteria for cholesteatoma with DWI. Additionally, the radiologists were asked to grade personal reliance on their diagnosis using a Likert-type scale from 1 = very insecure to 5 = very secure. Axial and coronal RESOLVE DWI showed a sensitivity of 77.3% and a specificity of 72.2%, respectively. The mean reliance was 3.9 for axial and 3.8 for coronal images. HASTE DWI had a sensitivity/specificity of 81.8%/66.7% with the highest reliance of all evaluated sequences (4.4). Cases with a reliance level of 5 showed a sensitivity/specificity of 100% in all sequences. A reliance level of 5 was given in the axial and coronal RESOLVE DWI in 32.5% of cases and in the HASTE DWI in 57.5%. The evaluated DWI sequences showed comparable results. The reliance level significantly improved the predictor of cholesteatoma disease with MRI techniques.
Sections du résumé
BACKGROUND AND PURPOSE
OBJECTIVE
Diffusion-weighted imaging(DWI) in MRI has been developed as an important tool for the detection of cholesteatoma. Various DWI sequences are available. This study aims to evaluate the importance of the observer's reliance level for the detection of cholesteatoma.
METHODS
METHODS
Forty patients meeting the following criteria were included in the study: (1) chronic otitis media, (2) preoperative MRI including various DWI sequences, and (3) middle-ear surgery. The MRI protocol contained the following sequences: (1) axial and (2) coronal echoplanar imaging (EPI) readout-segmented (RESOLVE) DWI with Trace acquisition and (3) coronal non-EPI half-Fourier acquired single-shot turbo spin-echo (HASTE) DWI. Cholesteatoma diagnosis was based on standard diagnostic criteria for cholesteatoma with DWI. Additionally, the radiologists were asked to grade personal reliance on their diagnosis using a Likert-type scale from 1 = very insecure to 5 = very secure.
RESULTS
RESULTS
Axial and coronal RESOLVE DWI showed a sensitivity of 77.3% and a specificity of 72.2%, respectively. The mean reliance was 3.9 for axial and 3.8 for coronal images. HASTE DWI had a sensitivity/specificity of 81.8%/66.7% with the highest reliance of all evaluated sequences (4.4). Cases with a reliance level of 5 showed a sensitivity/specificity of 100% in all sequences. A reliance level of 5 was given in the axial and coronal RESOLVE DWI in 32.5% of cases and in the HASTE DWI in 57.5%.
CONCLUSION
CONCLUSIONS
The evaluated DWI sequences showed comparable results. The reliance level significantly improved the predictor of cholesteatoma disease with MRI techniques.
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
120-126Informations de copyright
© 2021 American Society of Neuroimaging.
Références
Hellingman CA, Geerse S, de Wolf MJF, et al. Canal wall up surgery with mastoid and epitympanic obliteration in acquired cholesteatoma. Laryngoscope 2019;129:981-5.
Yung M, Tono T, Olszewska E, et al. EAONO/JOS joint consensus statements on the definitions, classification and staging of middle ear cholesteatoma. J Int Adv Otol 2017;13:1-8.
Corrales CE, Blevins NH. Imaging for evaluation of cholesteatoma: current concepts and future directions. Curr Opin Otolaryngol Head Neck Surg 2013;21:461-7.
Tierney PA, Pracy P, Blaney SP, et al. An assessment of the value of the preoperative computed tomography scans prior to otoendoscopic ‘second look’ in intact canal wall mastoid surgery. Clin Otolaryngol Allied Sci 1999;24:274-6.
Syms MJ, Luxford WM. Management of cholesteatoma: status of the canal wall. Laryngoscope 2003;113:443-8.
Westerberg J, Maki-Torkko E, Harder H. Cholesteatoma surgery with the canal wall up technique combined with mastoid obliteration: results from primary surgery in 230 consecutive cases. Acta Otolaryngol 2018;138:452-7.
Haginomori S, Takamaki A, Nonaka R, et al. Residual cholesteatoma: incidence and localization in canal wall down tympanoplasty with soft-wall reconstruction. Arch Otolaryngol Head Neck Surg 2008;134:652-7.
Kuo CL, Shiao AS, Yung M, et al. Updates and knowledge gaps in cholesteatoma research. Biomed Res Int 2015;2015:854024.
Keeler JA, Kaylie DM. Cholesteatoma: is a second stage necessary? Laryngoscope 2016;126:1499-500.
Ilica AT, Hidir Y, Bulakbasi N, et al. HASTE diffusion-weighted MRI for the reliable detection of cholesteatoma. Diagn Interv Radiol 2012;18:153-8.
Fischer N, Schartinger VH, Dejaco D, et al. Readout-segmented echo-planar DWI for the detection of cholesteatomas: correlation with surgical validation. AJNR Am J Neuroradiol 2019;40:1055-9.
Henninger B, Kremser C. Diffusion weighted imaging for the detection and evaluation of cholesteatoma. World J Radiol 2017;9:217-22.
Laske RD, Roth TN, Barath K, et al. The role of non-echoplanar diffusion-weighted magnetic resonance imaging in diagnosis of primary cholesteatoma and cholesteatoma recidivism as an adjunct to clinical evaluation. Ann Otol Rhinol Laryngol 2018;127:919-25.
Xie S, Wang X, Ren J, et al. The role of bone resorption in the etiopathogenesis of acquired middle ear cholesteatoma. Eur Arch Otorhinolaryngol 2017;274:2071-8.
Si Y, Chen YB, Chen SJ, et al. TLR4 drives the pathogenesis of acquired cholesteatoma by promoting local inflammation and bone destruction. Sci Rep 2015;5:16683.
Lingam RK, Bassett P. A meta-analysis on the diagnostic performance of non-echoplanar diffusion-weighted imaging in detecting middle ear cholesteatoma: 10 years on. Otol Neurotol 2017;38:521-8.
Lingam RK, Connor SEJ, Casselman JW, et al. MRI in otology: applications in cholesteatoma and Meniere's disease. Clin Radiol 2018;73:35-44.
Mas-Estelles F, Mateos-Fernandez M, Carrascosa-Bisquert B, et al. Contemporary non-echo-planar diffusion-weighted imaging of middle ear cholesteatomas. Radiographics 2012;32:1197-213.
Fukuda A, Morita S, Harada T, et al. Value of T1-weighted magnetic resonance imaging in cholesteatoma eetection. Otol Neurotol 2017;38:1440-4.
Suzuki H, Sone M, Yoshida T, et al. Numerical assessment of cholesteatoma by signal intensity on non-EP-DWI and ADC maps. Otol Neurotol 2014;35:1007-10.
Benson JC, Carlson ML, Lane JI. Non-EPI versus multishot EPI DWI in cholesteatoma detection: correlation with operative findings. AJNR Am J Neuroradiol 2021;42:573-7.
Russo C, Elefante A, Di Lullo AM, et al. ADC benchmark range for correct diagnosis of primary and recurrent middle ear cholesteatoma. Biomed Res Int 2018. https://doi.org/10.1155/2018/7945482.
Fan X, Liu Z, Ding C, et al. The value of turbo spin-echo diffusion-weighted imaging apparent diffusion coefficient in the diagnosis of temporal bone cholesteatoma. Clin Radiol 2019;74:971-7.
Osman NM, Rahman AA, Ali MT. The accuracy and sensitivity of diffusion-weighted magnetic resonance imaging with apparent diffusion coefficients in diagnosis of recurrent cholesteatoma. Eur J Radiol Open 2017;4:27-39.
Cavaliere M, Di Lullo AM, Cantone E, et al. Cholesteatoma vs granulation tissue: a differential diagnosis by DWI-MRI apparent diffusion coefficient. Eur Arch Otorhinolaryngol 2018;275:2237-43.
van Egmond SL, Stegeman I, Grolman W, et al. A Systematic review of non-echo planar diffusion-weighted magnetic resonance imaging for detection of primary and postoperative cholesteatoma. Otolaryngol Head Neck Surg 2016;154:233-40.
Pai I, Crossley E, Lancer H, et al. Growth and late detection of post-operative cholesteatoma on long term follow-up with diffusion weighted magnetic resonance imaging (DWI MRI): a retrospective analysis rrom a single UK centre. Otol Neurotol 2019;40:638-44.