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Non-EPI versus Multishot EPI DWI in Cholesteatoma Detection: Correlation with Operative Findings

Authors :
John C. Benson
Matthew L. Carlson
John I. Lane
Source :
AJNR Am J Neuroradiol
Publication Year :
2020
Publisher :
American Society of Neuroradiology (ASNR), 2020.

Abstract

BACKGROUND AND PURPOSE: Although multishot EPI (readout-segmented EPI) has been touted as a robust DWI sequence for cholesteatoma evaluation, its efficacy in disease detection compared with a non-EPI (eg, HASTE) technique is unknown. This study sought to compare the accuracy of readout-segmented EPI with that of HASTE DWI in cholesteatoma detection. MATERIALS AND METHODS: A retrospective review was completed of consecutive patients who underwent MR imaging for the evaluation of suspected primary or recurrent/residual cholesteatomas. Included patients had MR imaging examinations that included both HASTE and readout-segmented EPI sequences and confirmed cholesteatomas on a subsequent operation. Two neuroradiologist reviewers assessed all images, with discrepancies resolved by consensus. The ratio of signal intensity between the cerebellum and any observed lesion was noted. RESULTS: Of 23 included patients, 12 (52.2%) were women (average age, 47.8 [SD, 25.2] years). All patients had surgically confirmed cholesteatomas: Six (26.1%) were primary and 17 (73.9%) were recidivistic. HASTE images correctly identified cholesteatomas in 100.0% of patients. On readout-segmented EPI sequences, 16 (69.6%) were positive, 5 (21.7%) were equivocal, and 2 (8.7%) were falsely negative. Excellent interobserver agreement was noted between reviews on both HASTE (κ = 1.0) and readout-segmented EPI (κ = 0.9) sequences. The average signal intensity ratio was significantly higher on HASTE than in readout-segmented EPI, facilitating enhanced detection (mean difference 0.5; 95% CI, 0.3–0.8; P = .003). CONCLUSIONS: HASTE outperforms readout-segmented EPI in the detection of primary cholesteatoma and disease recidivism.

Details

ISSN :
1936959X and 01956108
Volume :
42
Database :
OpenAIRE
Journal :
American Journal of Neuroradiology
Accession number :
edsair.doi.dedup.....c3634461867f87e328510b9fe9383565
Full Text :
https://doi.org/10.3174/ajnr.a6911