4.6 Article

Intravenous Delayed Gadolinium-Enhanced MR Imaging of the Endolymphatic Space: A Methodological Comparative Study

Journal

FRONTIERS IN NEUROLOGY
Volume 12, Issue -, Pages -

Publisher

FRONTIERS MEDIA SA
DOI: 10.3389/fneur.2021.647296

Keywords

endolymphatic hydrops; endolymphatic space; inner ear imaging; gadolinium based contrast agent; intravenous; convolutional neural network; deep learning; volumetric local thresholding

Funding

  1. Friedrich-Baur-Stiftung (FBS)
  2. German Federal Ministry of Education and Research (BMBF)
  3. foundation of the German Center for Vertigo and Balance Disorders (DSGZ) [01 EO 0901]
  4. German Research Foundation (DFG)
  5. Munich Cluster for Systems Neurology (SyNergy) [EXC2145, 390857198]
  6. German Foundation for Neurology (DSN)

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This study aimed to investigate the impact of different acquisition protocols on endolymphatic hydrops, evaluate the reliability of ELS quantification methods, and explore the influence of ELS size on MR signals. The results showed that using a Gd dosage of 0.1-0.2 mmol/kg and a delay of approximately 4 hours is sufficient for ELS quantification, 3D quantification methods are optimal for correlations with clinical variables, and the presence of ELH increases signal intensity in the basal cochlear turn weakly, but cannot predict the presence of ELH.
In-vivo non-invasive verification of endolymphatic hydrops (ELH) by means of intravenous delayed gadolinium (Gd) enhanced magnetic resonance imaging of the inner ear (iMRI) is rapidly developing into a standard clinical tool to investigate peripheral vestibulo-cochlear syndromes. In this context, methodological comparative studies providing standardization and comparability between labs seem even more important, but so far very few are available. One hundred eight participants [75 patients with Meniere's disease (MD; 55.2 +/- 14.9 years) and 33 vestibular healthy controls (HC; 46.4 +/- 15.6 years)] were examined. The aim was to understand (i) how variations in acquisition protocols influence endolymphatic space (ELS) MR-signals; (ii) how ELS quantification methods correlate to each other or clinical data; and finally, (iii) how ELS extent influences MR-signals. Diagnostics included neuro-otological assessment, video-oculography during caloric stimulation, head-impulse test, audiometry, and iMRI. Data analysis provided semi-quantitative (SQ) visual grading and automatic algorithmic quantitative segmentation of ELS area [2D, mm(2)] and volume [3D, mm(3)] using deep learning-based segmentation and volumetric local thresholding. Within the range of 0.1-0.2 mmol/kg Gd dosage and a 4 h +/- 30 min time delay, SQ grading and 2D- or 3D-quantifications were independent of signal intensity (SI) and signal-to-noise ratio (SNR; FWE corrected, p < 0.05). The ELS quantification methods used were highly reproducible across raters or thresholds and correlated strongly (0.3-0.8). However, 3D-quantifications showed the least variability. Asymmetry indices and normalized ELH proved the most useful for predicting quantitative clinical data. ELH size influenced SI (cochlear basal turn p < 0.001), but not SNR. SI could not predict the presence of ELH. In conclusion, (1) Gd dosage of 0.1-0.2 mmol/kg after 4 h +/- 30 min time delay suffices for ELS quantification. (2) A consensus is needed on a clinical SQ grading classification including a standardized level of evaluation reconstructed to anatomical fixpoints. (3) 3D-quantification methods of the ELS are best suited for correlations with clinical variables and should include both ears and ELS values reported relative or normalized to size. (4) The presence of ELH increases signal intensity in the basal cochlear turn weakly, but cannot predict the presence of ELH.

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