Skip to main content
Springer logoLink to Springer
. 2022 Oct 5;270(1):71–81. doi: 10.1007/s00415-022-11400-8

Endolymphatic space is age-dependent

Marianne Dieterich 1,2,3,4,#, Tatjana Hergenroeder 1,#, Rainer Boegle 1,2,3, Johannes Gerb 1,2, Emilie Kierig 1,2, Sophia Stöcklein 5, Valerie Kirsch 1,2,3,
PMCID: PMC9813103  PMID: 36197569

Abstract

Knowledge of the physiological endolymphatic space (ELS) is necessary to estimate endolymphatic hydrops (ELH) in patients with vestibulocochlear syndromes. Therefore, the current study investigated age-dependent changes in the ELS of participants with normal vestibulocochlear testing. Sixty-four ears of 32 participants with normal vestibulocochlear testing aged between 21 and 75 years (45.8 ± 17.2 years, 20 females, 30 right-handed, two left-handed) were examined by intravenous delayed gadolinium-enhanced magnetic resonance imaging of the inner ear (iMRI). Clinical diagnostics included neuro-otological assessment, video-oculography during caloric stimulation, and head-impulse test. iMRI data analysis provided semi-quantitative visual grading and automatic algorithmic quantitative segmentation of ELS volume (3D, mm3) using a deep learning-based segmentation of the inner ear’s total fluid space (TFS) and volumetric local thresholding, as described earlier. As a result, following a 4-point ordinal scale, a mild ELH (grade 1) was found in 21/64 (32.8%) ears uni- or bilaterally in either cochlear, vestibulum, or both. Age and ELS were found to be positively correlated for the inner ear (r(64) = 0.33, p < 0.01), and vestibulum (r(64) = 0.25, p < 0.05). For the cochlea, the values correlated positively without reaching significance (r(64) = 0.21). In conclusion, age-dependent increases of the ELS should be considered when evaluating potential ELH in single subjects and statistical group comparisons.

Keywords: Endolymphatic hydrops, Inner ear, Healthy controls, Asymmetry, Endolymphatic space, MRI

Introduction

Delayed gadolinium (Gd) enhanced magnetic resonance imaging of the inner ear (iMRI) enables in vivo verification of endolymphatic hydrops (ELH, [1, 2]). Before its technical development, ELH was thought pathognomonic to Menière’s disease (MD). However, up to now, MD diagnosis is based on clinical diagnostic criteria [3] and only definitely verifiable in post-mortem human temporal bone (hTB) histopathologic inquiry [4].

Fittingly, varying degrees of ELH were nearly universally present in subjects with a history of MD, with 97–100% in post-mortem human temporal bones studies [5, 6] and 80% in iMRI studies [710]. ELH was further consistently detected in other pathologies presenting with episodic vertigo, such as in 36–60% in intralabyrinthine schwannoma [1114], 60% in bilateral vestibulopathy [15], 59% in otosclerosis [16], 8–30% in vestibular migraine [8, 17, 18], and also in idiopathic intracranial hypertension [19], spontaneous intracranial hypotension [20, 21], or cerebrospinal venous insufficiency [22]. Consequently, ELH's specificity to MD is being revalued, while its pathophysiological relevance within the pathologies mentioned remains unclear to varying degrees.

It is necessary to be aware of asymptomatic ELH prevalence in healthy subjects to assess the relevance of any ELH found. Moreover, possible age-dependent physiological ELS changes should be considered on a single case or group scale. Unfortunately, however, studies on the ELH prevalence within the healthy population have been carried out noticeably less. Due to the more or less invasive nature of the methods able to verify ELH so far, studies on the healthy population to date were frequently replaced by patient groups that were thought not to be associated with ELH. At the same time, studies accompanied by comprehensive vestibulocochlear functional testing are scarce (for an overview cp. Tables 3 and 4). hTB studies often lack information on age and concurrent reference of vestibulocochlear function, while most iMRI studies are satisfied with the participants' statement that they did not perceive any vestibulocochlear malfunction. The comparison of the results of these studies is further complicated using different ELS quantification methods in iMRI [7] and different fixatives or post-mortem hours in hTB [23].

Table 3.

Literature overview of ELH prevalence in "healthy" participants

Study Year [reference] Kind of subjects Nr. Of subjects Age [years] Vestibulocochlear testing Method of quantification ELH
Cochlea Vestibulum Inner ear
(a) Human temporal bone studies
Bachor and Karmody 1995 [57] I 70 0–10 No sqh, V 16.9%
Belal and Atunel 1980 [44] A+ 357 0–98 No sqh, V 9%
Buch 1966 [56] N 73  < 0 No sqh, V 0.7%
Merchant 2005 [6] A 963 Cases: 6–91, rest: n.s No sqh, V 4.5%
(b) iMRI, intravenous
Attyé 2017 [42] HP 30 58.7 ± 10.9 (range: > 40) No sq3, V 13.3%, 30%, n.s.
Boegle 2021 [7] vcHP 33 46.4 ± 15.6 (range: 21–75) Neuro-orthoptic assessment, SVV, VOG during CS & HIT, c/oVEMPs, PTA sq3+4, V 9%, 25%, 7.5%,
Ito 2016 [43] HP 15 57.7 ± 17.9 (range: 20–76) No sq3, V 3.3% 6.7% 10%
Yoshida 2018 [10] cHP 21 56.1 ± n.s. (range: 24–79) PTA sq3, M 9.5–28.6 % 0–7.1 % n.s.

This table has no claim to be exhaustive. Inclusion criteria for this table were the investigation of “healthy” controls and the usage of an established, comparable method for the semi-quantitative classification of the endolymphatic hydrops (sqELH). For the hTB studies, the 3-point sqELH grading system of Schuhknecht et al. [45] was used. For the iMRI studies, the 3-point sqELH grading system of Nakashima et al. [41] was used. Here, “healthy” control includes patients without audiological or vestibular problems and excludes studies using the non-affected ear in unilateral Meniere's disease as a healthy control group

 +  = including patients with Morbus Meniere, MD; ■ = significant ELH following sp3 [41]; ☐ = mild ELH following sp3 and sp4; ∆ = using the human temporal bone collection at the Massachusetts Eye and Ear Infirmary; A = adult population including normal ears and cases with otological diseases (for more detail see [6]); cHP = participants with nonotological diseases (for more detail, see [10]) without audiological, vestibular or neurological problems; vcHP = participants with neurological diseases (for more detail, see [7]) with normal vestibulocochlear testing; c/oVEMP = ocular/cervical vestibular evoked myogenic potential; CS = caloric stimulation; HP = healthy participants with no history of audiological, vestibular, or neurological problems (for more details, see [43]); HIT = head-impulse test; I = infant population including congenital anomalies (51.4%), infectious diseases (17.1%), non-infectious diseases (18.6%), and tumors (12.9%); N = newborn mainly premature population; n. s. = not specified; PTA = pure tone audiometry; sq3 = semi-quantitative following 3-point classification in cochlea and vestibulum following [41]; sq4 = semi-quantitative following 4-point classification in cochlea and vestibulum following [7], sqh = semi-quantitative following 3-point histological classification of the cochlea following [45]; SVV = subjective visual vertical; TFS = total fluid space; V = visual assessment

Table 4.

Literature overview of previous ELS 2D- and 3D-quantification results in “healthy” participants

Study Year [reference] Kind of subjects Nr. of subjects Age [years] Vestibulo-
cochlear testing
Method of visualization, quantification Cochlea Vestibulum Inner ear
ELS TFS ELS TFS ELS TFS
(a) 2D- (area) quantification of the ELS [mm2] and area ratio (AR) in [%]
Boegle 2021 [7] vcHP 33 46.4 ± 15.6 see below iv, A 6.7 ± 3.5% 11.9 ± 4.4% 9.6 ± 2.9%
1.1 ± 0.6 16.0 ± 1.7 2.5 ± 1.0 20.5 ± 2.4 3.5 ± 1.3 31.4 ± 3.5
Cho 2021 [54] HP 10 n.s PTA hTB, M 6.4 ± 2.2% 28.9 ± 6.2% n.s.
Liu 2011 [51] HP 20 23.5 ± 1.9 PTA, tympanometry, EcochG, VEMP it, M 9–28% 14–40% n.s.
2012 [52] HP 20 48.9 ± 2.95 it, M 8–26% 20–41% n.s.
2015 [53] HP 20 37.2 ± 11.0 it, M 7–27% 17–39% n.s.
(b) 3D- (volumetric) quantification of the ELS in [µl, mm3] and ELS ratio (ER or ELS/TFS) in [%]
Boegle 2021 [7] vcHP 33 46.4 ± 15.6

neuro-orthoptic assessment,

SVV, VOG during CS and HIT, o/cVEMPs, PTA

iv, A 5.5 ± 2.1% 6.2 ± 1.5% 6.0 ± 1.4%
5 ± 2.2 90.0 ± 13,5 11.1 ± 3.3 178.65 ± 22,5 16.2 ± 5.8 268.7 ± 31.5
Inui 2016 [58] CRS 24 57.5 ± n.s no iv, M 8.8 ± 5.3% 16.2 ± 9.0% 11.7 ± 5.7%
10.3 ± 6.9 114.9 ± 13.6 11.5 ± 7.1 69.8 ± 10.6 32.6 ± 16.6 279.8 ± 33.5
2021 [40] HP 100 57.8 ± n.s no iv, M 10.3 ± 6.7% 17.3 ± 12.2% 13.7 ± 7.8%
11.8 ± 8.3 112.9 ± 15.9 12.2 ± 7.5 69.1 ± 9.9 39.2 ± 22.0 282.1 ± 33.2
Ito 2019 [55] HP 47 58.4 ± 16.3 no iv, M 10.2 ± 6.8% 17.7 ± 10.2% 13.9 ± 7.9%
Teranishi 2009 [46] cHP 5 66.2 ± 6.3 no hTB, A 10.8 ± 3.6% 24.1 ± 10.7% 19.8 ± 13.0%
5.1 ± 0.6 47 ± 6.6 24.4 ± 3.6 99.8 ± 17.9 29.1 ± 4.1 146.8 ± 21.9

This table has no claim to be exhaustive. Inclusion criteria were the investigation of "healthy" participants and the usage of an established, comparable method for a two-dimensional (2D) or three-dimensional (3D) quantification of the endolymphatic space (ELS). For 2D-quantification (or areal quantification) results are presented in [mm2], and normalized as area ratio (AR or 2D ELS/TFS) in [%]. For 3D-quantification (or volumetric quantification) results are presented in [µl, mm3] and normalized as ELS ratio (ER or 3D ELS/TFS) in [%]. In this table, “healthy” participants include patients without audiological or vestibular problems and exclude studies using the non-affected ear in unilateral Meniere's disease as a “healthy” participant group

∆ = using the human temporal bone collection at the Massachusetts Eye and Ear Infirmary; A = automatic measurement; AR = area ratio or 2D ELS/TFS) in [%]; cHP = participants with nonotological diseases (for more detail, see [46]) and without audiological, vestibular or neurological problems; vcHP = participants with neurological diseases (for more detail, see [7]) with normal vestibulocochlear testing; CRS = chronic rhinosinusitis; CS = caloric stimulation; EcochG = electrocochleography, ELS = endolymphatic space; ER = ELS ratio or 3D ELS/TFS in [%]; HP = healthy participants; it = intratympanic iMRI; iv = intravenous iMRI; HIT = head-impulse test; hTB = human temporal bone study; M = manual measurement using software; MRI = magnetic resonance imaging; n. s. = not specified; o/cVEMP = ocular/cervical vestibular evoked myogenic potential; SVV = subjective visual vertical; TFS = total fluid space; V = visual assessment

The current study investigated age-dependent changes in the ELS in participants with normal vestibulocochlear function (vcHP) and discussed them given previous studies conducted on ELS in “healthy” participants.

Materials and methods

Setting and institutional review board approval

All data were acquired at the interdisciplinary German Center for Vertigo and Balance Disorders (DSGZ) and the Munich University Hospital Neurology Department (LMU), Germany, between 2018 and 2020. Institutional Review Board approval was obtained before the initiation of the study (no. 641–15). Furthermore, all participants provided informed oral and written consent in accordance with the Declaration of Helsinki before inclusion in the study.

Study population

Thirty-two consecutive inpatients (64 ears; 20 females; aged 21–75 years, mean age 45.8 ± 17.2 years; 31 right-handed, two left-handed) of the Neurology Department without symptoms or underlying pathologies of the peripheral and central vestibulocochlear system underwent MRI with intravenous contrast agent as part of their diagnostic workup and agreed to undergo additional iMRI sequences after 4 h. Ethical considerations did not allow us to include healthy volunteers without a medical indication for an iMRI with contrast agent (see limitations for more information). The reasons for the participant’s admission to the clinic included polyneuropathy (n = 5), movement disorders (n = 5), single small cortical metastases (n = 3), epilepsy (n = 3), optic nerve neuritis (n = 3), spinal inflammatory lesion (n = 3), tension headache (n = 3), viral meningitis (n = 2), subdural hematoma (n = 2), idiopathic facial nerve palsy (n = 2), and decompensated esophoria (n = 1). Cranial MRI findings were age-appropriate or did not interfere with the vestibulocochlear system. The laterality quotient for right-handedness was assessed with the 10-item inventory of the Edinburgh test [24]. The inclusion criterion was age between 18 and 85 years and normal audiovestibular testing to confirm the soundness of their peripheral end-organs and the central vestibular system (see Sect. 2.3). The exclusion criteria were current cochlear or vestibular disorders, a positive history of vertigo, balance, or hearing disorders, any MR- or contrast agent-related contraindications [25], poor image quality, or missing MR sequences.

Measurement of the auditory, semicircular canal and otolith functions

Participants without vestibulocochlear symptoms (vcHP) underwent vestibulocochlear testing to confirm the soundness of their peripheral inner ear end-organs. Diagnostic workup included a thorough neurological examination (e.g., history-taking, clinical examination), neuro-orthoptic assessment [e.g., Frenzel glasses, fundus photography, and adjustments of the subjective visual vertical (SVV) for acute vestibular graviceptive dysfunction], video-oculography (VOG) during caloric and head impulse testing (HIT), and pure tone audiometry (PTA).

A tilt of the SVV is a sensitive sign of an acute graviceptive vestibular tone imbalance. SVV was assessed with the subject sitting upright in front of a half-spherical dome with the head fixed on a chin rest [26]. A mean deviation of > 2.5° from the true vertical was considered a pathological tilt of SVV [26].

The impairment of the vestibulo-ocular reflex (VOR) in higher frequencies was measured by HIT [24] using high-frame-rate VOG with EyeSeeCam ([27], EyeSeeTech, Munich, Germany). A median gain during head impulses < 0.8 (eye velocity in °/s divided by head velocity in °/s) was considered a pathological VOR [28].

Furthermore, semicircular canal responsiveness in lower frequencies was assessed by caloric stimulation (CS) with VOG, which was performed for both ears with 30° cold and 44° warm water. Vestibular paresis was defined as > 25% asymmetry between the right- and left-sided responses [29] or the sum of the maximal peak velocities of the slow phase caloric-induced nystagmus for stimulation with warm and cold water on each side < 25°/sec [30]. The caloric asymmetry index (AICS) was calculated based on the slow-phase velocity of the caloric nystagmus AICS[%]=(R33+R44)-(L33+L44)(R33+R44)+(L33+L44)×100.

Audiological tests consisted of pure-tone audiometry (PTA) by air conduction at 250 Hz to 8 kHz frequencies. PTA was based on both ears’ four-tone average (arithmetic mean) of the thresholds at 0.5, 1, 2, and 3 kHz. Hearing loss was defined as PTA > 25 dB [31]. In all tests, the contralateral ear was masked by adequate noise. All audiometric equipment is regularly recalibrated (every 6 months) according to the local university equipment standard.

Delayed intravenous gadolinium-enhanced MRI of the inner ear

Data acquisition

Participants received a standard dose (0.1 mmol/kg body weight) of gadobutrol (Gadovist®, Bayer, Leverkusen, Germany) once and were scanned in a whole-body 3 Tesla MRI scanner (Magnetom Skyra, Siemens Healthcare, Erlangen, Germany) with a 20-channel head coil twice; first directly after intravenous injection, as part of their diagnostic workup, and a second time after 4 h for the iMRI sequences. A T2-weighted, 3D-FLAIR (three-dimensional fluid-attenuated inversion recovery) sequence was used to differentiate endolymph from perilymph and bone, and a spin-echo 3D-SPACE (three-dimensional sampling perfection with application-optimized contrasts using different flip angle evolutions) sequence delineated the total inner ear fluid space from the surrounding bone according to the method suggested by Ref. [2].

The T2-weighted, 3D-FLAIR was characterized by the following parameters: TR 6000 ms; TE 134 ms; TI 2240 ms; FA 180°; FOV 160 × 160 mm2; 36 slices; base resolution 320; averages 1; slice thickness 0.5 mm. The high-resolution, strongly T2-weighted, spin-echo 3D-SPACE sequence of the temporal bone had the following parameters: TR 1000 ms; TE 133 ms; FA 100°; FOV 192 × 192 mm2; 56 slices; base resolution 384; averages 4; slice thickness of 0.5.

Semi-quantitative (visual) grading of the endolymphatic space

ELH was observed as enlarged negative-signal spaces inside the labyrinth and cochlea on the 3D-FLAIR images [2]. Semi-quantitative (SQ) visual grading of the ELS (sqELS) was performed independently by an experienced head and neck radiologist (SSt) and a neurologist (JG, VK) who were blinded to the clinical patient data. The ELS’s characterization in the vestibulum and cochlea was based on a previously described 4-point [7, 32] ordinal scale classification.

3D-(volumetric) quantification of the endolymphatic space.

3D- or volumetric quantification of the ELS (vELS) was achieved in two steps: First, segmentation of the total fluid space (TFS) was based on IE-Vnet [33], a recently proposed and pre-trained volumetric deep learning algorithm with V-net architecture. IE-Vnet was deployed via the TOMAAT module [34] into the 3D–Slicer toolbox (version 4.11, [35]).

Second, ELS and perilymphatic space (PLS) were differentiated within the TFS using volumetric local thresholding (VOLT, [36]) that uses ImageJ Fiji [37], including the “Fuzzy and artificial neural networks image processing toolbox” [38] and the “MorphoLibJ Toolbox” [39]. The resulting 3D volume included ELS and PLS classifications for cochlea and vestibulum (cutoff 6). The ELS ratio, ER[%]=ELSTFS×100, was calculated analogously to Ref. [40]. ELS symmetry between both inner ears was assessed using the absolute value of the asymmetry index AI [%] = (ELSright-ELSleft)(ELSright+ELSleft)×100.

Statistics and validation parameters

Statistical analyses were performed using the Statistical Package for Social Sciences software (SPSS, Inc, Chicago, IL, USA). Categorical values are reported as the number of cases that fit the category/number of participants with normal vestibulocochlear testing [%]; ordinal or scalar values are presented as (mean ± standard deviation). Results were reported at a significance level of p < 0.05 and p < 0.01. In addition, the linear agreement between parameter pairs was calculated using two-sided Pearson’s correlation coefficient.

Results

A detailed clinical and neurophysiological characterization of the group of participants with normal vestibulocochlear testing (vcHP) is provided in Table 1. No participant needed to be excluded due to vestibulocochlear dysfunction.

Table 1.

Clinical and neuro-otological characterization of vestibulocochlear healthy participants

vcHP
Participants n = 32
Age [in years] 45.8 ± 17.2
Age range [years] 21–75
Gender 20 females
Handedness 30 RH, 2 LH
TN 0/32
SPN 0/32
OT 0/32
SVV deviation 0/32
HIT pathological 0/31 (0%)
HIT mean gain 1.0 ± 0.05 (0.9–1.1)
HIT AI [%] 4.0 ± 2.7 (0–11.1)
CS pathological 0/32 (0%)
CS mean [°/s] 17.8 ± 6.7 (8.2–33.8)
CS AI [%] 10.6 ± 7.1 (1.2–25.5)
PTA pathological 2/32 (6.3%)
Presbycusis 2/32 (6.3%)
PTA mean [dB] 24.8 ± 10.1

AI =  asymmetry index; CS =  caloric stimulation; HIT =  head impulse test; vcHP =  participants with normal vestibulocochlear testing; LH =  left-handed; OT =  ocular torsion; PTA =  pure tone audiometry; RH =  right-handed; SPN =  spontaneous nystagmus; SVV =  subjective visual vertical; TN =  triggered nystagmus (by head shaking, and/or hyperventilation)

Following a 4-point ordinal scale [7, 32], a mild ELH (grade 1) was found in 21/64 (32.8%) ears uni- or bilaterally in either cochlear, vestibulum, or both (sqELScochleaHC: grade 0.2 ± 0.4, sqELSvestibulumHC: grade 0.3 ± 0.5, sqELSinnerearHC: grade 0.2 ± 0.3, range: 0–1). This means that the extent of ELH was low (vELScochleaHC: 2.8 ± 1.1 mm3, vELSvestibulumHC: 6.6 ± 2.1 mm3, vELSinnerearHC: 9.4 ± 2.3 mm3). A detailed description of the ELS quantification results can be viewed in Table 2.

Table 2.

Semi- and 3D-quantification of the endolymphatic space

vcHP
Ears n = 64
Cochlea
 ELH 10/64 (15.6%)
 Side
  Unilateral 4/32 (12.5%)
  Bilateral 3/32 (9.4%)
 sqELS [grade] 0.2 ± 0.4 (0–1)
 vELS [mm3]
  Mean 2.8 ± 1.1 (0.3–6.6)
  AI 20.2 ± 12.9 (1.0–54.4)
  ER 3.1 ± 1.0 (0.6–5.1)
 TFS [mm3] 89.5 ± 12.0 (59.4–126.9)
Vestibulum
 ELH 16/64 (25%)
 Side
  Unilateral 4/32 (12.5%)
  Bilateral 6/32 (18.8%)
 sqELS [grade] 0.3 ± 0.5 (0–2)
 vELS [mm3]
  Mean 6.6 ± 2.1 (2.4–11.7)
  AI 15.2 ± 10.5 (1.0–33.1)
  ER 3.7 ± 0.8 (1.9–5.4)
 TFS [mm3] 180.7 ± 21.2 (140.4–233.9)
Inner ear
 ELH 21/64 (32.8%)
 Side
  Unilateral 4/32 (12.5%)
  Bilateral 9/32 (28.1%)
 sqELS [grade] 0.2 ± 0.3 (0–1)
 vELS [mm3]
  Mean 9.4 ± 2.3 (4.5–13.4)
  AI 12.7 ± 7.6 (1.6–25.4)
  ER 3.5 ± 0.6 (2.4–4.7)
 TFS [mm3] 270.2 ± 29.0 (216.3–329.9)

AI  =  asymmetry index; ELH =  endolymphatic hydrops; ELS =  endolymphatic space; ER =  endolymphatic ratio  =  ELS/TLS [%]; sqELS =  semi-quantitative or visual quantification of the ELS following a 4-point ordinal scale classification [7]; vELS =  volumetric or 3D quantification of the ELS [mm3]; vcHP =  participants with normal vestibulocochlear testing; TFS =  total fluid space

Age and vELS were found to be significantly positively correlated for the inner ear, r(64) = 0.33, p = 0.008, and vestibulum, r(64) = 0.25, p = 0.045. For the cochlea, values correlated positively without reaching significance, r(64) = 0.21, p = 0.100. The corresponding scatter plots are depicted in Fig. 1.

Fig. 1.

Fig. 1

Scatter plot for age and 3D quantification of the endolymphatic space. Correlation results for cochlea (top), vestibulum (middle) and inner ear (bottom) of participants with normal vestibulocochlear testing: age and 3D-(volumetric)-quantification (vELS) of the endolymphatic space (ELS) were found to be moderately strong positively correlated for the cochlea, r(64) = 0.21, p = 0.100 (linear slope = 0.043), vestibulum, r(64) = 0.25, p = 0.045 (linear slope = 0.063), and inner ear, r(64) = 0.33, p = 0.008 (linear slope = 0.109). Significant linear agreements are marked (*) for a significance level p < 0.05 and (**) for a significance level p < 0.01

Discussion

The current study investigated age-dependent changes in the endolymphatic space (ELS) in 32 participants with normal vestibulocochlear testing (Table 2). Mild ELH (grade 1) was found in 15.6% in the cochlea (thereof 12.5% unilateral and 9.4% bilateral), 25% in the vestibulum (thereof 12.5% unilateral and 18.8% bilateral), and 32.8% when considering the inner ear (thereof 12.5% unilateral and 28.1% bilateral). None of the participants’ semi-quantitative ELH classification grades (sqELS) exceeded grade 1 (mild ELH) following a 3-point [41] and 4-point [7] ordinal scale. Mean ELS volume (vELS) was 2.8 µl for the cochlea, 6.6 µl for the vestibulum, and 9.4 µl for the inner ear. ELS ratio (ER = ELSTFS×100) remained below 5% in cochlea (3.1%), vestibulum (3.7%), and inner ear (3.5%). Asymmetry index remained beneath 25% in cochlea (20.2%), vestibulum (15.2%), and inner ear (12.7%). ELS volume showed age-dependent significant changes for the inner ear, r(64) = 0.33, p = 0.008, and vestibulum, r(64) = 0.25, p = 0.045 (cp. Fig. 1). For the cochlea, values correlated positively without reaching significance, r(64) = 0.21, p = 0.100.

In the following, the mentioned results will be discussed given previous studies conducted on ELS in “healthy” participants.

ELH prevalence in “healthy” participants

The results of the current study fit well with the findings in the literature. An overview of ELH prevalence in studies on the “healthy” population to date is shown in Table 3. Notably, even excluding studies using the non-affected ear in unilateral Meniere's disease (uMD) as a healthy control group, a relatively high ELH prevalence was found. In iMRI studies (see Table 3b) using semi-quantitative three-point visual grading [41], mild ELH was reported to lie between 3.3 and 28.6% of participants in the cochlea [10, 42], 6.7–25% in the vestibulum [7, 43], and 7.5–10% in the inner ear [7, 43]. Significant ELH was reported between 9.5 and 13.3% in the cochlea [10] and up to 30% in the vestibulum [42]. In contrast, in hTB studies' adult population (see Table 3a), including participants with MD, ELH prevalence was found to be around 9% [44], and without MD, around 4.5% [6].

In summary, the overlap of the 3-point sqELH grading system of Schuhknecht et al. [45] for the hTB studies and of Nakashima et al. [41] for the iMRI helps to compare their results, a direct transfer of the results should be done with caution. After all, while iMRI can only indirectly verify ELH, it provides in-vivo longitudinal ELS visualization with multi-slice 3D-quantification in addition to contemporary measurement of vestibulocochlear function. hTB studies, on the other hand, provide direct identification of the distension of Reissner's membrane and further histopathologic evidence for MD.

ELS volume in “healthy” participants

The current study's ELS volume was low in the cochlea 2.8 ± 1.1 mm3, vestibulum 6.6 ± 2.1 mm3, and inner ear 9.4 ± 2.3 mm3 compared to volumes in the previous literature, especially across methods in both hTB [23, 46, 47] and high-resolution CT [4850]. A detailed description of the ELS 2D-(area) and 3D-(volumetric) quantification in previous hTB and iMRI studies on the “healthy” population to date can be viewed in Table 4.

It is noticeable that the lower volumetric values or ratios occur in the studies with participants that were controlled for vestibulocochlear testing. In addition, the absolute values of both ELS quantification methods (although 2D- more than the 3D- ELS quantification method) are variable across the different studies, and relative size ELS are less variable (with ELS-Ratio being most constant, also across methods).

ELH laterality and ELS symmetry

In healthy participants, cochlear and vestibular ELH laterality (bi- or unilateral) and ELS symmetry (when using 2D or 3D quantification) were omitted. Investigated hTB and iMRI studies either only have one ear at their disposal [46, 5153], limit information on laterality to the patient cohort [6, 10, 4244, 54, 55], or do not discuss ELH laterality as a category [40, 5658]. The current study showed 12.5% unilateral mild ELH in the cochlea and vestibulum, 9.4% showed a mild bilateral ELH in the cochlea, and 18.8% a mild bilateral ELH in the vestibulum, while the asymmetry index remained < 25% (cochlea: 20.2%, vestibulum 15.2%, inner ear: 12.7%). Laterality and symmetry add to the characteristic pattern in “healthy” participants, alongside volumetric extent and maximally mild ELH in semi-quantitative ELS quantification.

Therefore, ELS studies should include semi-quantitative (SQ) grading and 3D quantification. SQ grading should include the 3-point grading scale by Nakashima et al. [41] as it is the most commonly used grading system and can serve as a calibration point. Reported 3D-quantification values should include symmetry parameters, such as asymmetry indices for un-normalized data and the relative size of the ELS for normalized data.

ELS age-dependency

Age and vELS were found to be significantly positively correlated for the inner ear (r(64) = 0.33, p = 0.008), and vestibulum (r(64) = 0.25, p = 0.045). For the cochlea, values correlated positively without reaching significance (r(64) = 0.21, p = 0.100)(Fig. 1). These results seem plausible because of the increased vestibulocochlear dysfunction with age [5962], including the frequent cases without the patient noticing the vestibular dysfunction occurred [6365]. Contrary, two published studies by Inui et al. [40, 58] showed that participants < 60 years had significantly larger TFS and ELS/TFS volume ratios in the inner ear and significantly larger ELS/TFS volume ratios in the vestibulum in comparison to the participant group ≥ 60 years. The differing results between the current study and the latter might be explained by the difference in methods or the selection of participants (Table 4b).

The overall mild degree in ELS increase without symptoms and (in general) normal audiovestibular testing results also further question the current definition of ELH. The word hydrops implies an excessive pathologic accumulation of endolymphatic fluid within the ELS. However, the current results imply that a mild ELH might not necessarily be a pathologic sign but can represent a physiological norm, especially with increasing age and when unaccompanied by audiovestibular symptoms or (diagnostic) signs of audiovestibular dysfunction. An objective description of different ELS distention grades without statement on its pathogenicity (± ELH) would be preferable. An easy solution would be to simply retain all previous suggestions of semi-quantitative ELH grading as ELS grading, and discard the statement referring to no, mild, moderate or severe ELH.

Methodological limitations of the study

Two major limitations of the current study need to be considered: first, the limited number of subjects included, and second, the circumstance that iMRI imaging could only be done in patients with other (neurological) pathologies. A representative ELS study with a higher number of completely healthy subjects, ideally of 20 participants per decade, ranging between 20 and 90 years of age, would be desirable and is still pending. Second, influences of the participants' underlying neurological pathologies on the ELS appear unlikely (view inclusion and exclusion criteria, Sect. 2.2.) but cannot entirely be excluded. In addition, two of our participants showed signs of presbyacusis in our audiometric testing, and we do not know if hearing performance influences the ELS. However, ethical considerations did not allow us to include healthy volunteers without a medical indication for an iMRI with contrast agent. The decision to avoid unnecessary contrast agent application was based on prior findings of signal intensity increases in the dentate nucleus and globus pallidus on T1-weighted MR images after applying MR contrast agents that are still under investigation [6668]. Third, the study lacks histological confirmation of endolymphatic hydrops since the in-vivo acquisition of histological specimens is currently not possible.

Conclusion

Age-dependent increases of the ELS should be considered when evaluating potential ELH in single subjects and statistical group comparisons.

Acknowledgements

We thank K. Göttlinger for copyediting the manuscript. This is part of the dissertation of Tatjana Hergenröder.

Abbreviations

3D

Three-dimensional

AI

Asymmetry index

ELH

Endolymphatic hydrops

ELS

Endolymphatic space

FLAIR

Fluid-attenuated inversion recovery

HIT

Head-impulse test

vcHP

Participants with normal vestibulocochlear testing

hTB

Human temporal bone

IE-Vnet

Inner ear Vnet

iMRI

Delayed intravenous gadolinium-enhanced MRI of the inner ear

MD

Ménière’s disease

MRI

Magnetic resonance imaging

PLS

Perilymphatic space

PTA

Pure tone audiometry

SPN

Spontaneous nystagmus

SVV

Subjective visual vertical

TFS

Total fluid space

uMD

Unilateral MD

VOG

Video-oculography

Author contributions

MD: conception, and design of the study, drafting the manuscript, providing funding; TH: acquisition, and analysis of the data, drafting the manuscript, analysis of the data; RB, JG, EK: acquisition, and analysis of the data, drafting the manuscript; SS: conception, and design of the study, analysis of the data, drafting the manuscript; VK: conception, and design of the study, acquisition, and analysis of the data, drafting the manuscript, providing funding,

Funding

Open Access funding enabled and organized by Projekt DEAL. This work was partially funded by the German Foundation of Neurology (Deutsche Stiftung Neurologie, DSN), Verein zur Förderung von Wissenschaft und Forschung an der Medizinischen Fakultät der LMU (Association for the Promotion of Science and Research at the LMU Medical Faculty), and the German Federal Ministry of Education and Research (BMBF) via the German Center for Vertigo and Balance Disorders (DSGZ, grant number 01 EO 0901).

Declarations

Conflicts of interest

There are no conflicts of interest.

Footnotes

Marianne Dieterich and Tatjana Hergenroeder have contributed equally to this work.

References

  • 1.Touska P, Connor SEJ. Imaging of the temporal bone. Clin Radiol. 2020;75:658–674. doi: 10.1016/j.crad.2020.06.013. [DOI] [PubMed] [Google Scholar]
  • 2.Naganawa S, Yamazaki M, Kawai H, et al. Visualization of endolymphatic hydrops in Ménière’s Disease with single-dose intravenous gadolinium-based contrast media using heavily T2-weighted 3D-FLAIR. Magn Reson Med Sci. 2010;9:6. doi: 10.2463/mrms.9.237. [DOI] [PubMed] [Google Scholar]
  • 3.Lopez-Escamez JA, Carey J, Chung W-H, et al. Diagnostic criteria for Menière's disease. J Vestib Res. 2015;25:1–7. doi: 10.3233/VES-150549. [DOI] [PubMed] [Google Scholar]
  • 4.Nakashima T, Pyykkö I, Arroll MA, et al. Meniere's disease. Nat Rev Dis Primers. 2016;2:16028. doi: 10.1038/nrdp.2016.28. [DOI] [PubMed] [Google Scholar]
  • 5.Foster CA, Breeze RE. Endolymphatic hydrops in Ménière's disease: cause, consequence, or epiphenomenon? Otol Neurotol. 2013;34:1210–1214. doi: 10.1097/MAO.0b013e31829e83df. [DOI] [PubMed] [Google Scholar]
  • 6.Merchant SN, Adams JC, Nadol JB. Pathophysiology of Meniere's syndrome: are symptoms caused by endolymphatic hydrops? Otol Neurotol. 2005;26:74–81. doi: 10.1097/00129492-200501000-00013. [DOI] [PubMed] [Google Scholar]
  • 7.Boegle R, Gerb J, Kierig E, et al. Intravenous delayed gadolinium-enhanced MR imaging of the endolymphatic space: a methodological comparative study. Front Neurol. 2021;12:647296. doi: 10.3389/fneur.2021.647296. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Oh S-Y, Dieterich M, Lee BN, et al. Endolymphatic hydrops in patients with vestibular migraine and concurrent Meniere's disease. Front Neurol. 2021;12:594481. doi: 10.3389/fneur.2021.594481. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Conte G, Caschera L, Calloni S, et al. MR imaging in Menière disease: is the contact between the vestibular endolymphatic space and the oval window a reliable biomarker? Am J Neuroradiol. 2018 doi: 10.3174/ajnr.A5841. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Yoshida T, Sugimoto S, Teranishi M, et al. Imaging of the endolymphatic space in patients with Ménière's disease. Auris Nasus Larynx. 2018;45:33–38. doi: 10.1016/j.anl.2017.02.002. [DOI] [PubMed] [Google Scholar]
  • 11.Eliezer M, Poillon G, Maquet C, et al. Sensorineural hearing loss in patients with vestibular schwannoma correlates with the presence of utricular hydrops as diagnosed on heavily T2-weighted MRI. Diagn Interv Imaging. 2019;100:259–268. doi: 10.1016/j.diii.2019.01.006. [DOI] [PubMed] [Google Scholar]
  • 12.Naganawa S, Kawai H, Sone M, et al. Endolympathic hydrops in patients with vestibular schwannoma: visualization by non-contrast-enhanced 3D FLAIR. Neuroradiology. 2011;53:1009–1015. doi: 10.1007/s00234-010-0834-y. [DOI] [PubMed] [Google Scholar]
  • 13.Mahmud MR, Khan AM, Nadol JB. Histopathology of the inner ear in unoperated acoustic neuroma. Ann Otol Rhinol Laryngol. 2003;112:979–986. doi: 10.1177/000348940311201111. [DOI] [PubMed] [Google Scholar]
  • 14.Hızlı Ö, Cureoglu S, Kaya S, et al. Quantitative vestibular labyrinthine otopathology in temporal bones with vestibular schwannoma. Otolaryngol Head Neck Surg. 2016;154:150–156. doi: 10.1177/0194599815601070. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Eliezer M, Hautefort C, Van Nechel C, et al. Electrophysiological and inner ear MRI findings in patients with bilateral vestibulopathy. Eur Arch Otorhinolaryngol. 2020;277:1305–1314. doi: 10.1007/s00405-020-05829-8. [DOI] [PubMed] [Google Scholar]
  • 16.Wang F, Yoshida T, Sugimoto S, et al. Clinical features of ears with otosclerosis and endolymphatic hydrops. Otol Neurotol. 2019;40:441–445. doi: 10.1097/MAO.0000000000002175. [DOI] [PubMed] [Google Scholar]
  • 17.Nakada T, Yoshida T, Suga K, et al. Endolymphatic space size in patients with vestibular migraine and Ménière's disease. J Neurol. 2014;261:2079–2084. doi: 10.1007/s00415-014-7458-9. [DOI] [PubMed] [Google Scholar]
  • 18.Gürkov R, Kantner C, Strupp M, et al. Endolymphatic hydrops in patients with vestibular migraine and auditory symptoms. Eur Arch Otorhinolaryngol. 2014;271:2661–2667. doi: 10.1007/s00405-013-2751-2. [DOI] [PubMed] [Google Scholar]
  • 19.Ranieri A, Cavaliere M, Sicignano S, et al. Endolymphatic hydrops in idiopathic intracranial hypertension: prevalence and clinical outcome after lumbar puncture. Preliminary data Neurol Sci. 2017;38:193–196. doi: 10.1007/s10072-017-2895-8. [DOI] [PubMed] [Google Scholar]
  • 20.Fukushima M, Matsukawa N, Akahani S, Inohara H. Secondary endolymphatic hydrops associated with spontaneous intracranial hypotension. JAMA Otolaryngol Head Neck Surg. 2019;145:191–193. doi: 10.1001/jamaoto.2018.3073. [DOI] [PubMed] [Google Scholar]
  • 21.Poillon G, Hautefort C, Levy D, Eliezer M. Endolymphatic hydrops secondary to spontaneous intracranial hypotension. Headache. 2020;60:1812–1813. doi: 10.1111/head.13866. [DOI] [PubMed] [Google Scholar]
  • 22.Bruno A, Napolitano M, Califano L, et al. The prevalence of chronic cerebrospinal venous insufficiency in Meniere disease: 24-month follow-up after angioplasty. J Vasc Interv Radiol. 2017;28:388–391. doi: 10.1016/j.jvir.2016.10.019. [DOI] [PubMed] [Google Scholar]
  • 23.Igarashi M, O-Uchi T, Isago H, Wright WK. Utricular and saccular volumetry in human temporal bones. Acta Otolaryngol. 1983;95:75–80. doi: 10.3109/00016488309130918. [DOI] [PubMed] [Google Scholar]
  • 24.Oldfield RC. The assessment and analysis of handedness: the Edinburgh inventory. Neuropsychologia. 1971;9:97–113. doi: 10.1016/0028-3932(71)90067-4. [DOI] [PubMed] [Google Scholar]
  • 25.Dill T. Contraindications to magnetic resonance imaging. Heart. 2008;94:943–948. doi: 10.1136/hrt.2007.125039. [DOI] [PubMed] [Google Scholar]
  • 26.Dieterich M, Brandt T. Ocular torsion and tilt of subjective visual vertical are sensitive brainstem signs. Ann Neurol. 1993;33:292–299. doi: 10.1002/ana.410330311. [DOI] [PubMed] [Google Scholar]
  • 27.Schneider E, Villgrattner T, Vockeroth J, et al. EyeSeeCam: an eye movement-driven head camera for the examination of natural visual exploration. Ann N Y Acad Sci. 2009;1164:461–467. doi: 10.1111/j.1749-6632.2009.03858.x. [DOI] [PubMed] [Google Scholar]
  • 28.Halmagyi GM, Curthoys IS. A clinical sign of canal paresis. Arch Neurol. 1988;45:737–739. doi: 10.1001/archneur.1988.00520310043015. [DOI] [PubMed] [Google Scholar]
  • 29.Jongkees LB, Maas JP, Philipszoon AJ. Clinical nystagmography. A detailed study of electro-nystagmography in 341 patients with vertigo. Pract Otorhinolaryngol (Basel) 1962;24:65–93. [PubMed] [Google Scholar]
  • 30.Agrawal Y, Van de Berg R, Wuyts F, et al. Presbyvestibulopathy: diagnostic criteria consensus document of the classification committee of the Bárány Society. VES. 2019;29:161–170. doi: 10.3233/VES-190672. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 31.(1995) Committee on Hearing and Equilibrium guidelines for the diagnosis and evaluation of therapy in Menière's disease. American Academy of Otolaryngology-Head and Neck Foundation, Inc. Otolaryngol Head Neck Surg 113:181–185. 10.1016/S0194-5998(95)70102-8 [DOI] [PubMed]
  • 32.Kirsch V, Becker-Bense S, Berman A, et al. Transient endolymphatic hydrops after an attack of vestibular migraine: a longitudinal single case study. J Neurol. 2018;265:51–53. doi: 10.1007/s00415-018-8870-3. [DOI] [PubMed] [Google Scholar]
  • 33.Ahmadi S-A, Frei J, Vivar G, et al. IE-Vnet: deep learning-based segmentation of the inner ear's total fluid space. Front Neurol. 2022;13:663200. doi: 10.3389/fneur.2022.663200. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Milletari F, Frei J, Aboulatta M, et al. Cloud deployment of high-resolution medical image analysis with TOMAAT. IEEE J Biomed Health Inform. 2019;23:969–977. doi: 10.1109/JBHI.2018.2885214. [DOI] [PubMed] [Google Scholar]
  • 35.Fedorov A, Beichel R, Kalpathy-Cramer J, et al. 3D Slicer as an image computing platform for the Quantitative Imaging Network. Magn Reson Imaging. 2012;30:1323–1341. doi: 10.1016/j.mri.2012.05.001. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.Gerb J, Ahmadi SA, Kierig E, et al. VOLT: a novel open-source pipeline for automatic segmentation of endolymphatic space in inner ear MRI. J Neurol. 2020;267:185–196. doi: 10.1007/s00415-020-10062-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Schindelin J, Arganda-Carreras I, Frise E, et al. Fiji: an open-source platform for biological-image analysis. Nat Methods. 2012;9:676–682. doi: 10.1038/nmeth.2019. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Nizamutdinov V (2015) Neural network and fuzzy logic based plugins for imagej. GitHub repository. https://github.com/astartes91/imagej-neural-fuzzy-plugins
  • 39.Legland D, Arganda-Carreras I, Andrey P. MorphoLibJ: integrated library and plugins for mathematical morphology with ImageJ. Bioinformatics. 2016;32:3532–3534. doi: 10.1093/bioinformatics/btw413. [DOI] [PubMed] [Google Scholar]
  • 40.Inui H, Kitahara T, Ito T, Sakamoto T. Magnetic resonance 3D measurement of the endolymphatic space in 100 control human subjects. Int Adv Otol. 2021;17:536–540. doi: 10.5152/iao.2021.21317. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Nakashima T, Naganawa S, Pyykko I, et al. Grading of endolymphatic hydrops using magnetic resonance imaging. Acta Otolaryngol Suppl. 2009 doi: 10.1080/00016480902729827. [DOI] [PubMed] [Google Scholar]
  • 42.Attyé A, Eliezer M, Boudiaf N, et al. MRI of endolymphatic hydrops in patients with Meniere's disease: a case-controlled study with a simplified classification based on saccular morphology. Eur Radiol. 2017;27:3138–3146. doi: 10.1007/s00330-016-4701-z. [DOI] [PubMed] [Google Scholar]
  • 43.Ito T, Kitahara T, Inui H, et al. Endolymphatic space size in patients with Meniere's disease and healthy controls. Acta Otolaryngol. 2016;136:879–882. doi: 10.3109/00016489.2016.1169556. [DOI] [PubMed] [Google Scholar]
  • 44.Belal A, Antunez JC. Pathology of endolymphatic hydrops. J Laryngol Otol. 1980;94:1231–1240. doi: 10.1017/s0022215100090058. [DOI] [PubMed] [Google Scholar]
  • 45.Schuhknecht H. Pathology of the ear. 2. Philadelphia: Lea and Febinger Press; 1993. [Google Scholar]
  • 46.Teranishi M, Yoshida T, Katayama N, et al. 3D computerized model of endolymphatic hydrops from specimens of temporal bone. Acta Otolaryngol Suppl. 2009 doi: 10.1080/00016480902729868. [DOI] [PubMed] [Google Scholar]
  • 47.Igarashi M, Ohashi K, Ishii M. Morphometric comparison of endolymphatic and perilymphatic spaces in human temporal bones. Acta Otolaryngol. 1986;101:161–164. doi: 10.3109/00016488609132823. [DOI] [PubMed] [Google Scholar]
  • 48.Teixido MT, Kirkilas G, Seymour P, et al. Normative inner ear volumetric measurements. J Craniofac Surg. 2015;26:251–254. doi: 10.1097/SCS.0000000000001204. [DOI] [PubMed] [Google Scholar]
  • 49.Heutink F, Koch V, Verbist B, et al. Multi-Scale deep learning framework for cochlea localization, segmentation and analysis on clinical ultra-high-resolution CT images. Comput Methods Programs Biomed. 2020;191:105387. doi: 10.1016/j.cmpb.2020.105387. [DOI] [PubMed] [Google Scholar]
  • 50.Hiller J, Nour-Eldin N-EA, Gruber-Rouh T, et al. Assessing inner ear volumetric measurements by using three-dimensional reconstruction imaging of high-resolution cone-beam computed tomography. SN Compr Clin Med. 2020;2:2178–2184. doi: 10.1007/s42399-020-00513-8. [DOI] [Google Scholar]
  • 51.Liu F, Huang W, Wang Z, et al. Noninvasive evaluation of endolymphatic space in healthy volunteers using magnetic resonance imaging. Acta Otolaryngol. 2011;131:247–257. doi: 10.3109/00016489.2010.524938. [DOI] [PubMed] [Google Scholar]
  • 52.Liu F, Huang W, Meng X, et al. Comparison of noninvasive evaluation of endolymphatic hydrops in Meniere's disease and endolymphatic space in healthy volunteers using magnetic resonance imaging. Acta Otolaryngol. 2012;132:234–240. doi: 10.3109/00016489.2011.637232. [DOI] [PubMed] [Google Scholar]
  • 53.Liu F, Huang W, Chen Q, Gao Z. Comparison of noninvasive evaluation of endolymphatic space in healthy volunteers in different age groups using magnetic resonance imaging. Acta Otolaryngol. 2015;135:416–421. doi: 10.3109/00016489.2014.986760. [DOI] [PubMed] [Google Scholar]
  • 54.Cho YS, Kim JS, Kim MB, et al. Validation of inner ear MRI in patients with Ménière's disease by comparing endolymphatic hydrops from histopathologic specimens. Sci Rep. 2021;11:17738. doi: 10.1038/s41598-021-97213-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Ito T, Inui H, Miyasaka T, et al. Endolymphatic volume in patients with meniere's disease and healthy controls: three-dimensional analysis with magnetic resonance imaging. Laryngoscope. 2019;4:653–658. doi: 10.1002/lio2.313. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 56.Buch NH. Endolymphatic hydrops in the cochlea of a newborn. J Laryngol Otol. 1966;80:1006–1015. doi: 10.1017/s0022215100066329. [DOI] [PubMed] [Google Scholar]
  • 57.Bachor E, Karmody CS. Endolymphatic hydrops in children. J Otorhinolaryngol Relat Spec. 1995;57:129–134. doi: 10.1159/000276725. [DOI] [PubMed] [Google Scholar]
  • 58.Inui H, Sakamoto T, Ito T, Kitahara T. Magnetic resonance volumetric measurement of endolymphatic space in patients without vertiginous or cochlear symptoms. Acta Otolaryngol. 2016;136:1206–1212. doi: 10.1080/00016489.2016.1204663. [DOI] [PubMed] [Google Scholar]
  • 59.Neuhauser HK (2016) The epidemiology of dizziness and vertigo. In: Handbook of clinical neurology. Elsevier, pp 67–82 [DOI] [PubMed]
  • 60.Grill E, Müller M, Brandt T, Jahn K. Vertigo and dizziness: challenges for epidemiological research. OA Epidemiology. 2013;1:12. doi: 10.13172/2053-079X-1-2-757. [DOI] [Google Scholar]
  • 61.Prell T, Finn S, Axer H. How healthcare utilization due to dizziness and vertigo differs between older and younger adults. Front Med (Lausanne) 2022;9:852187. doi: 10.3389/fmed.2022.852187. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Agrawal Y, Ward BK, Minor LB. Vestibular dysfunctionrüße: prevalence, impact and need for targeted treatment. J Vestib Res. 2013;23:113–117. doi: 10.3233/VES-130498. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Evans TH, Schiller LR. Chronic vestibular dysfunction as an unappreciated cause of chronic nausea and vomiting. Proc (Bayl Univ Med Cent) 2012;25:214–217. doi: 10.1080/08998280.2012.11928830. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Agrawal Y, Carey JP, Della Santina CC, et al. Disorders of balance and vestibular function in US adults: data from the National Health and Nutrition Examination Survey, 2001–2004. Arch Intern Med. 2009;169:938–944. doi: 10.1001/archinternmed.2009.66. [DOI] [PubMed] [Google Scholar]
  • 65.Yardley L, Owen N, Nazareth I, Luxon L. Prevalence and presentation of dizziness in a general practice community sample of working age people. Br J Gen Pract. 1998;48:1131–1135. [PMC free article] [PubMed] [Google Scholar]
  • 66.Adin ME, Kleinberg L, Vaidya D, et al. Hyperintense dentate nuclei on T1-weighted MRI: relation to repeat gadolinium administration. Am J Neuroradiol. 2015;36:1859–1865. doi: 10.3174/ajnr.A4378. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Barbieri S, Schroeder C, Froehlich JM, et al. High signal intensity in dentate nucleus and globus pallidus on unenhanced T1-weighted MR images in three patients with impaired renal function and vascular calcification. Contrast Media Mol Imaging. 2016;11:245–250. doi: 10.1002/cmmi.1683. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 68.Errante Y, Cirimele V, Mallio CA, et al. Progressive increase of T1 signal intensity of the dentate nucleus on unenhanced magnetic resonance images is associated with cumulative doses of intravenously administered gadodiamide in patients with normal renal function, suggesting dechelation. Invest Radiol. 2014;49:685–690. doi: 10.1097/RLI.0000000000000072. [DOI] [PubMed] [Google Scholar]

Articles from Journal of Neurology are provided here courtesy of Springer

RESOURCES