Evidence map›Paper›PMID 39054294›Full record

ArticleAJNR. American journal of neuroradiology2024

Retrolabyrinthine Bone Thickness as a Radiologic Marker for the Hypoplastic Endotype in Menière Disease.

Amy F Juliano, Kuei-You Lin, Nitesh Shekhrajka, Donghoon Shin, Steven D Rauch, Andreas H Eckhard

Abstract read
In one paragraph

Article in AJNR. American journal of neuroradiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. The long-term outcome of Meniere's disease patients following sac and shunt operation assessed by Hydrops MRI.European archives of oto-rhino-laryngology : official journal of the European Federation of Oto-Rhino-Laryngological Societies (EUFOS) : affiliated with the German Society for Oto-Rhino-Laryngology - Head and Neck Surgery · 2025
    Article
  9. Review
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Amy F JulianoFrom the Department of Radiology (A.F.J.), Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts amy_juliano@meei.harvard.edu.ORCID 0000-0002-5088-5367
Kuei-You LinDepartment of Otolaryngology (K.-Y.L.), Shin Kong Wu Ho-Su Memorial Hospital, Taipei, Taiwan.ORCID 0000-0002-0088-8893
Nitesh ShekhrajkaDepartment of Radiology (N.S.), University of Iowa Hospital and Clinics, Iowa City, Iowa.ORCID 0000-0001-5173-8492
Donghoon ShinDepartment of Radiology (D.S.), Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0003-1582-6190
Steven D RauchDepartment of Otolaryngology-Head and Neck Surgery (S.D.R., A.H.E.), Massachusets Eye and Ear, Harvard Medical School, Boston, Massachusetts.
Andreas H EckhardDepartment of Otolaryngology-Head and Neck Surgery (S.D.R., A.H.E.), Massachusets Eye and Ear, Harvard Medical School, Boston, Massachusetts.ORCID 0000-0002-4921-6043

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeMenière disease (MD) manifests in 2 major endotypes: one with a hypoplastic, underdeveloped endolymphatic sac (MD-hp) and the other with a normally developed sac that degenerates over time (MD-dg). Determining the specific endotype in patients is important for predicting disease progression, tailoring patient counseling, and optimizing treatment strategies. Endotype diagnosis involves measuring an angular trajectory of the vestibular aqueduct (ATVA), with an ATVA ≥140° indicative of MD-hp and an ATVA ≤120° of MD-dg. However, assessing the ATVA can be challenging. This study aimed to explore the link between ATVA and the thickness of the retrolabyrinthine bone as an alternative diagnostic measure that could provide differentiation between MD endotypes using CT and MR imaging. MATERIALS AND

methodsRetrospective review of CT temporal bone imaging from 32 adult patients with definite MD (60 ears) and 33 age-matched controls without MD or other inner ear symptoms (61 ears) was performed. The ATVA and retrolabyrinthine bone thickness were measured using uniform methodology on standardized axial CT images. Comparative analyses were performed to determine the correlation between ATVA and retrolabyrinthine bone thickness. Additionally, from a separate cohort of 11 patients (22 ears), CT and MR examinations of the temporal bone were retrospectively reviewed for retrolabyrinthine bone thickness measurements, to verify the correlation across the 2 modalities.

resultsThe average retrolabyrinthine bone thickness was statistically significantly different between MD endotypes, being a mean of 0.8 (SD, 0.3) mm in patients with MD-hp (ATVA ≥140°) and 2.0 (SD, 0.9) mm in patients with MD-dg (ATVA ≤120°), with a consistent pattern of thin retrolabyrinthine bone in MD-hp and variable thickness in MD-dg. Receiver operating characteristic curve analysis within the MD cohort revealed that a retrolabyrinthine bone thickness ≥1.2 mm effectively rules out MD-hp. Excellent interrater reliability was noted for the retrolabyrinthine measurement, and there was near-perfect correlation between CT and MR measurements.

conclusionsRetrolabyrinthine bone thickness proved to be a useful and straightforward alternative marker for distinguishing MD endotypes, being particularly useful for excluding MD-hp. Including information on retrolabyrinthine bone thickness should be considered a routine part of reporting in the context of MD imaging.

Indexed as

Magnetic Resonance ImagingMeniere DiseaseTomography, X-Ray ComputedAdultAgedEar, InnerEndolymphatic SacFemaleHumansMaleMiddle AgedRetrospective StudiesSensitivity and SpecificityTemporal BoneVestibular AqueductYoung Adult

Identifiers

PMID39054294
PMCPMC11392355

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.