Evidence map›Paper›PMID 39449964›Full record

ArticleFrontiers in molecular neuroscience2024

Dynamic micro-optical coherence tomography enables structural and metabolic imaging of the mammalian cochlea.

Hinnerk Schulz-Hildebrandt, Svetolik Spasic, Fang Hou, Kuan-Chung Ting, Shelley Batts, Guillermo Tearney, Konstantina M Stankovic

Abstract read
In one paragraph

Article in Frontiers in molecular neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. Intracochlear Imaging Using IVUS and OFDI: A Cadaveric Feasibility Study.Laryngoscope investigative otolaryngology · 2025
    Article
  8. The State of High-Resolution Imaging of the Human Inner Ear: A Look Into the Black Box.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
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.

Hinnerk Schulz-Hildebrandt *Wellman Center for Photomedicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Svetolik Spasic *Department of Otolaryngology-Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, United States.
Fang HouWellman Center for Photomedicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Kuan-Chung TingDepartment of Otolaryngology-Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, United States.
Shelley BattsDepartment of Otolaryngology-Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, United States.
Guillermo Tearney *Wellman Center for Photomedicine, Massachusetts General Hospital, Harvard Medical School, Boston, MA, United States.
Konstantina M Stankovic *Department of Otolaryngology-Head and Neck Surgery, Stanford University School of Medicine, Stanford, CA, United States.

Funding

Human Ear Cellular AtlasU24DC020857 · NIDCD · STANFORD UNIVERSITY · PI Alan Gi-Lun Cheng, Konstantina M Stankovic · 2022 to 2026
$3.6M
NIDCD NIH HHS U24 DC020857
6 · The paper itself

Abstract

Sensorineural hearing loss (SNHL) is caused by damage to the mechanosensory hair cells and auditory neurons of the cochlea. The development of imaging tools that can directly visualize or provide functional information about a patient's cochlear cells is critical to identify the pathobiological defect and determine the cells' receptiveness to emerging SNHL treatments. However, the cochlea's small size, embedded location within dense bone, and sensitivity to perturbation have historically precluded high-resolution clinical imaging. Previously, we developed micro-optical coherence tomography (μOCT) as a platform for otologic imaging in animal models and human cochleae. Here we report on advancing μOCT technology to obtain simultaneously acquired and co-localized images of cell viability/metabolic activity through dynamic μOCT (DμOCT) imaging of intracellular motion. DμOCT obtains cross-sectional images of ATP-dependent movement of intracellular organelles and cytoskeletal polymerization by acquiring sequential μOCT images and computing intensity fluctuation frequency metrics on a pixel-wise basis. Using a customized benchtop DμOCT system, we demonstrate the detailed resolution of anatomical and metabolic features of cells within the organ of Corti, via an apical cochleostomy, in freshly-excised adult mouse cochleae. Further, we show that DμOCT is capable of capturing rapid changes in cochlear cell metabolism following an ototoxic insult to induce cell death and actin stabilization. Notably, as few as 6 frames can be used to reconstruct cochlear DμOCT images with sufficient detail to discern individual cells and their metabolic state. Taken together, these results motivate future development of a DμOCT imaging probe for cellular and metabolic diagnosis of SNHL in humans.

Indexed as

cochleahair cellmetabolic imagingmicro-optical coherence tomographyorgan of Cortisensorineural hearing loss

Identifiers

PMID39449964
PMCPMC11499234

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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.