Evidence map›Paper›PMID 40954886›Full record

ArticleOptics letters2025

Optical coherence tomography-based cochlear endoscopy through the human round window membrane.

Julianna M Bordas, Wihan Kim, Michael J Serafino, Jack Tang, Dorothy W Pan, John S Oghalai, Brian E Applegate

Abstract read
In one paragraph

Article in Optics letters, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Julianna M Bordas
Wihan Kim
Michael J Serafino
Jack Tang
Dorothy W Pan
John S Oghalai
Brian E Applegate

Funding

Training in Hearing & Communication NeuroscienceT32DC009975 · NIDCD · UNIVERSITY OF SOUTHERN CALIFORNIA · PI Christopher A Shera · 2009 to 2026
$5.0M
Optical imaging technologies to identify residual cholesteatoma and improve ossiculoplasty outcomesR01EB027113 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI APPLEGATE, BRIAN E. · 2019 to 2022
$2.6M
NIBIB NIH HHS R01 EB027113NIDCD NIH HHS T32 DC009975
6 · The paper itself

Abstract

The human cochlea, which encapsulates the hearing organ, remains difficult to image using current medical tools due to its delicate structure and location behind dense bone. Optical coherence tomography (OCT) has become an essential technology for imaging cochlear morphology and function in animal models, offering high spatial and temporal resolution. Our previous work demonstrated OCT's ability to image cochlear structures in mouse models and to measure sound-induced vibrations at a nanometer scale. Translating this approach to human patients, however, requires overcoming challenges such as accessing the cochlea non-invasively through the ear canal. We previously designed a hand-held OCT endoscope for this purpose, but the initial design and lack of a camera made it very difficult to use in a clinical setting. In this paper, we present a redesigned OCT endoscope to image the human cochlea that addresses these limitations by reducing its size, improving visibility, and incorporating a forward-looking fiber bundle and camera for better navigation. We validated the device using both an opal checkerboard target and a cadaver temporal bone, demonstrating the ability to navigate to the round window niche via the ear canal. These advancements allow for detailed, real-time imaging of cochlear structures and represent a step toward the clinical application of OCT for diagnosing and treating hearing disorders of the inner ear.

Indexed as

CochleaEndoscopyRound Window, EarTomography, Optical CoherenceHumans

Identifiers

PMID40954886
PMCPMC13105462

What OpenQuestion holds

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Registered trials

None linked

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.