ArticleJournal of the Association for Research in Otolaryngology : JARO2026
Cochlear Aqueduct Advection and Diffusion Inferred from Computed Tomography Imaging with a Bayesian Approach.
Article in Journal of the Association for Research in Otolaryngology : JARO, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
Abstract
purposeFluid flow and transport of therapeutic agents and pathogenic bacteria into the cochlea has been challenging to study due to its small size and location within bone. We here take advantage of recent non-invasive Computed Tomography (CT) imaging to infer transport parameters in a 1-dimensional advection-diffusion model of the cochlear aqueduct using a Bayesian approach.
methodsSix male C56BL/6 mice injected with the small molecule tracer iohexol in cisterna magna were scanned every 5 min for 30 min in CT under anesthesia. Using the CT data to set boundary conditions, we solve the advection-diffusion equation for given advection and spatially varying diffusion parameters. The CT data is modeled as normally distributed around the model-predicted concentration. We specify priors for the model unknown parameters and infer their posterior distributions using Bayes' formula and the CUQIpy library. The statistical approach is validated using synthetic data.
resultsThe evolution of the concentration of tracer in the cochlear aqueduct is well predicted by the advection-diffusion model using inferred parameters. Though diffusion of the small CT tracer varies along the aqueduct, it is usually near the free diffusion and therefore not likely to be influenced much by membranes or flow. Advection is inferred near zero in most cases. We show how to use these results to calculate transport through the cochlear aqueduct for other animals and molecules.
conclusionFree diffusion dominates transport of small molecules in the cochlear aqueduct, which can therefore be effectively approximated using simple 1-dimensional (advection-)diffusion formulas.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.