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DOI: 10.1055/s-0042-1746486
Update on the radiological diagnosis of enlarged vestibular aqueduct (EVA) – therapeutic and prognostic implications
Objectives Enlarged vestibular aqueduct (EVA) is a common finding associated with inner ear malformation (IEM). Furthermore, EVA can indicate the presence of syndromic diseases. However, uniform radiologic definitions for EVA are missing. This study evaluates VA-volume in different types of IEM and compares 3D-reconstructed VA-volume to 2D-measurements.
Methods 98 CT datasets from temporal bones were analyzed (56 with IEM; [cochlear hypoplasia (CH;n=18), incomplete partition type I (IPI;n=12) and type II (IPII;n=11) and EVA (n=15)]; 42 controls). VA-diameter was measured in axial images. VA-volume was analyzed by 3D-reconstruction. Inter-rater-reliability (IRR) was assessed using the intra-class-correlation-coefficient (ICC).
Results Significant differences in VA-volume between patients with EVA and controls (p < 0.0001) as well as between IPII and controls (p<0.0001) were found. VA diameter at the midpoint (VA midpoint) as well as at the operculum ( VA operculum) and VA volume showed weak to very strong correlations in IPI (VA midpoint: r=0.78, VA operculum: r=0.91), in CH (VA midpoint : r=0.59, VA operculum: r=0.61), in EVA (VA midpoint: r=0.55, VA operculum: r=0.66) and in controls (VA midpoint : r=0.36, VA operculum : r=0.42). Highest IRR was found for VA volume (ICC=0.90)
Conclusion VA diameter is an unreliable estimate of VA volume since (1.) measurement of VA diameter does not correlate well with VA volume and (2.) VA diameter shows a lower IRR than VA volume. VA volumetry provides new complementary information for the diagnosis of EVA and thus the clinical prognosis. The presented data suggest VA-volumetry to improve the diagnostic workup of isolated EVA and IEM. Consequently, an implementation into the diagnostic tools is recommended.
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Conflict of Interest
The author declares that there is no conflict of interest.
Publication History
Article published online:
24 May 2022
© 2022. The Author(s). This is an open access article published by Thieme under the terms of the Creative Commons Attribution-NonDerivative-NonCommercial-License, permitting copying and reproduction so long as the original work is given appropriate credit. Contents may not be used for commercial purposes, or adapted, remixed, transformed or built upon. (https://creativecommons.org/licenses/by-nc-nd/4.0/).
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