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Boegle R, Gerb J, Kierig E, Becker-Bense S, Ertl-Wagner B, Dieterich M, Kirsch V. Intravenous Delayed Gadolinium-Enhanced MR Imaging of the Endolymphatic Space: A Methodological Comparative Study. Front Neurol 2021; 12:647296. [PMID: 33967941 PMCID: PMC8100585 DOI: 10.3389/fneur.2021.647296] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2020] [Accepted: 02/24/2021] [Indexed: 12/11/2022] Open
Abstract
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, mm2] and volume [3D, mm3] 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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Affiliation(s)
- Rainer Boegle
- Department of Neurology, University Hospital, Ludwig-Maximilians-Universität, Munich, Germany.,German Center for Vertigo and Balance Disorders-IFB (Integriertes Forschungs- und Behandlungszentrum), University Hospital, Ludwig-Maximilians-Universität, Munich, Germany.,Graduate School of Systemic Neuroscience (GSN), Ludwig-Maximilians-Universität, Munich, Germany
| | - Johannes Gerb
- Department of Neurology, University Hospital, Ludwig-Maximilians-Universität, Munich, Germany.,German Center for Vertigo and Balance Disorders-IFB (Integriertes Forschungs- und Behandlungszentrum), University Hospital, Ludwig-Maximilians-Universität, Munich, Germany
| | - Emilie Kierig
- Department of Neurology, University Hospital, Ludwig-Maximilians-Universität, Munich, Germany.,German Center for Vertigo and Balance Disorders-IFB (Integriertes Forschungs- und Behandlungszentrum), University Hospital, Ludwig-Maximilians-Universität, Munich, Germany
| | - Sandra Becker-Bense
- Department of Neurology, University Hospital, Ludwig-Maximilians-Universität, Munich, Germany.,German Center for Vertigo and Balance Disorders-IFB (Integriertes Forschungs- und Behandlungszentrum), University Hospital, Ludwig-Maximilians-Universität, Munich, Germany
| | - Birgit Ertl-Wagner
- Department of Radiology, The Hospital for Sick Children, University of Toronto, Toronto, ON, Canada.,Department of Radiology, University Hospital, Ludwig-Maximilians-Universität, Munich, Germany
| | - Marianne Dieterich
- Department of Neurology, University Hospital, Ludwig-Maximilians-Universität, Munich, Germany.,German Center for Vertigo and Balance Disorders-IFB (Integriertes Forschungs- und Behandlungszentrum), University Hospital, Ludwig-Maximilians-Universität, Munich, Germany.,Graduate School of Systemic Neuroscience (GSN), Ludwig-Maximilians-Universität, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - Valerie Kirsch
- Department of Neurology, University Hospital, Ludwig-Maximilians-Universität, Munich, Germany.,German Center for Vertigo and Balance Disorders-IFB (Integriertes Forschungs- und Behandlungszentrum), University Hospital, Ludwig-Maximilians-Universität, Munich, Germany.,Graduate School of Systemic Neuroscience (GSN), Ludwig-Maximilians-Universität, Munich, Germany
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Kirsch V, Nejatbakhshesfahani F, Ahmadi SA, Dieterich M, Ertl-Wagner B. A probabilistic atlas of the human inner ear's bony labyrinth enables reliable atlas-based segmentation of the total fluid space. J Neurol 2019; 266:52-61. [PMID: 31422454 DOI: 10.1007/s00415-019-09488-6] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2019] [Revised: 07/25/2019] [Accepted: 07/26/2019] [Indexed: 12/20/2022]
Abstract
Intravenous contrast agent-enhanced magnetic resonance imaging of the endolymphatic space (ELS) of the inner ear permits direct, in-vivo, non-invasive visualization of labyrinthine structures and thus verification of endolymphatic hydrops (ELH). However, current volumetric assessment approaches lack normalization. The aim of this study was to develop a probabilistic atlas of the inner ear's bony labyrinth as a first step towards an automated and reproducible volume-based quantification of the ELS. The study included three different datasets: a source dataset (D1) to build the probabilistic atlas and two testing sets (D2, D3). D1 included 24 right-handed patients (12 females; mean age 51.5 ± 3.9 years) and D2 5 patients (3 female; mean age 48.8 ± 5.01 years) with vestibular migraine without ELH or any measurable vestibular deficits. D3 consisted of five patients (one female; mean age 46 ± 5.2 years) suffering from unilateral Menière's disease and ELH. Data processing comprised three steps: preprocessing using an affine and deformable fusion registration pipeline, computation of an atlas for the left and right inner ear using a label-assisted approach, and validation of the atlas based on localizing and segmenting previously unseen ears. The three-dimensional probabilistic atlas of the inner ear's bony labyrinth consisted of the internal acoustic meatus and inner ears (including cochlea, otoliths, and semicircular canals) for both sides separately. The analyses showed a high level of agreement between the atlas-based segmentation and the manual gold standard with an overlap of 89% for the right ear and 86% for the left ear (measured by dice scores). This probabilistic in vivo atlas of the human inner ear's bony labyrinth and thus of the inner ear's total fluid space for both ears represents a necessary step towards a normalized, easily reproducible and reliable volumetric quantification of the perilymphatic and endolymphatic space in view of MR volumetric assessment of ELH. The proposed atlas lays the groundwork for state-of-the-art approaches (e.g., deep learning) and will be provided to the scientific community.
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Affiliation(s)
- Valerie Kirsch
- Department of Neurology, University Hospital, Ludwig-Maximilians-Universität München, Marchioninistraße 15, 81377, Munich, Germany. .,Graduate School of Systemic Neuroscience (GSN), Ludwig-Maximilians-Universität, Munich, Germany. .,German Center for Vertigo and Balance Disorders- IFB, University Hospital, Ludwig-Maximilians-Universität, Munich, Germany.
| | - F Nejatbakhshesfahani
- Department of Radiology, University Hospital, Ludwig-Maximilians-Universität, Munich, Germany
| | - S-A Ahmadi
- Department of Neurology, University Hospital, Ludwig-Maximilians-Universität München, Marchioninistraße 15, 81377, Munich, Germany.,Graduate School of Systemic Neuroscience (GSN), Ludwig-Maximilians-Universität, Munich, Germany.,German Center for Vertigo and Balance Disorders- IFB, University Hospital, Ludwig-Maximilians-Universität, Munich, Germany
| | - M Dieterich
- Department of Neurology, University Hospital, Ludwig-Maximilians-Universität München, Marchioninistraße 15, 81377, Munich, Germany.,Graduate School of Systemic Neuroscience (GSN), Ludwig-Maximilians-Universität, Munich, Germany.,German Center for Vertigo and Balance Disorders- IFB, University Hospital, Ludwig-Maximilians-Universität, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany
| | - B Ertl-Wagner
- German Center for Vertigo and Balance Disorders- IFB, University Hospital, Ludwig-Maximilians-Universität, Munich, Germany.,Department of Radiology, University Hospital, Ludwig-Maximilians-Universität, Munich, Germany.,Munich Cluster for Systems Neurology (SyNergy), Munich, Germany.,Department of Radiology, The Hospital for Sick Children, University of Toronto, Toronto, Canada
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