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Coherent Optical Detection of Middle Ear Disease

Otitis Media Diagnosis and Treatment: Coherent Optical Detection of Middle Ear Disease

Status
Recruiting
Phases
Unknown
Study type
Interventional
Source
ClinicalTrials.gov
Registry ID
NCT05353569
Acronym
OCTII
Enrollment
235
Registered
2022-04-29
Start date
2022-05-24
Completion date
2028-04-01
Last updated
2026-01-21

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Otitis Media, Otitis Media Acute, Otitis Media With Effusion

Brief summary

The purpose of this project is to see if optical coherence tomography (OCT), a new technology acting as an ultrasound for the ear, facilitates accurately diagnosing acute otitis media (AOM) and otitis media with effusion (OME) in children. Clinical diagnoses made using solely otoscopy will be compared to those made with the addition of OCT.

Detailed description

Otitis media (OM) is the most common diagnosis in pediatric patients seen for illness in the United States, affects 90% of all children, and is the most common indication for antimicrobial therapy and surgery in young children. Despite many attempts to improve diagnosis, treatment, and prevention, OM continues its highly prevalent impact on children and substantial ongoing morbidity. OM continues as the most common cause of hearing loss in children and leads to speech, educational and other developmental delays. OM causes life-threatening complications and is expensive, resulting in over $5 billion annually in U.S. health care expenditures. Despite the prevalence and difficulties with OM, diagnostic accuracy to allow appropriate treatment is lacking, leading to misplaced resources in treating OM. This proposal builds on our central hypothesis that enhanced diagnostic tools, specifically, optical coherence tomography (OCT), will yield improved diagnosis and lead to reduced need for antibiotics to treat acute OM, reduced surgical interventions for chronic otitis media, and overall fewer complications and cost associated with this disease. In this proposal, the investigators will explore three specific aims. The first aim, part A, the investigators will perform a comparative assessment of middle ear pathology using otoscopy and OCT in pediatric patients that present to a primary care clinic with complaints of otalgia or OM, with the hypothesis that OCT added to standard otoscopy will improve diagnostic accuracy and reduce overall antibiotic prescriptions. In part B of this aim, a comparative assessment of middle ear pathology using otoscopy along with audiometry/tympanometry and OCT will be performed in pediatric patients that present to the pediatric otolaryngology clinic with a referral for chronic otitis media with effusion (OME), with the hypothesis that OCT added to standard otoscopy and audiometry/tympanometry will improve diagnostic accuracy and reduce overall need for surgery in patients with OME. In the second aim, using the OCT images captured in the previous aim, the investigators will develop image processing and machine learning algorithms for automated identification of effusions and biofilms in OCT image data to augment OM diagnosis for medical decision making. Finally, using the OCT images captured previously, along with our machine learning algorithms, the investigators will establish OCT B-mode and M-mode image-based features that predict the resolution or persistence of middle ear effusions over time. Collectively, this project will demonstrate how these advances in diagnostic tools and algorithms will improve diagnosis and provide added information for clinical decision making in the management of OM.

Interventions

DIAGNOSTIC_TESTOCT Device(s)

Results from standard-of-care examinations will be compared to research-only examination(s) (OCT device(s)).

Sponsors

Medical College of Wisconsin
Lead SponsorOTHER
University of Illinois at Urbana-Champaign
CollaboratorOTHER
National Institutes of Health (NIH)
CollaboratorNIH
National Institute on Deafness and Other Communication Disorders (NIDCD)
CollaboratorNIH

Study design

Allocation
NON_RANDOMIZED
Intervention model
PARALLEL
Primary purpose
DIAGNOSTIC
Masking
NONE

Eligibility

Sex/Gender
ALL
Age
12 Months to 6 Years
Healthy volunteers
No

Inclusion criteria

* Parental complaint of ear infection or ear pain (Children's Wisconsin Urgent Care Clinics) OR referred for evaluation of otitis media with effusion (Children's Wisconsin ENT Clinic) * Speak English

Exclusion criteria

* Children with craniofacial abnormalities * Children with diagnosed immunologic abnormalities * Children with congenital syndromic conditions * Current open and functioning ear tubes

Design outcomes

Primary

MeasureTime frameDescription
Children's Wisconsin Urgent Care Clinic Analysis (Standard-of-Care Diagnosis)5 yearsThe investigators will look at the percentage of patients that receive the decision for antibiotic prescriptions using only a standard-of-care examination (otoscopy) (prior to addition of a research-only OCT device).
Children's Wisconsin Urgent Care Analysis (Research Device Diagnosis)5 yearsThe investigators will look at the percentage of patients that receive the decision for antibiotic prescriptions after the addition of a research-only OCT device.
Children's Wisconsin ENT Clinic Analysis (Standard-of-Care Diagnosis)5 yearsThe investigators will look at the percentage of patients that receive the decision for surgical intervention using only standard-of-care examinations (otoscopy, audiometry/tympanometry) (prior to addition of research-only OCT devices).
Children's Wisconsin ENT Clinic Analysis (Research Devices Diagnosis)5 yearsThe investigators will look at the percentage of patients that receive the decision for surgical intervention after the addition of research-only OCT devices.

Countries

United States

Contacts

CONTACTRoxanne Link, APNP
rlink@mcw.edu414-266-3760
CONTACTChristy Erbe
cerbe@mcw.edu414-955-2670
PRINCIPAL_INVESTIGATORJoseph Kerschner, MD

Medical College of Wisconsin

Outcome results

None listed

Source: ClinicalTrials.gov · Data processed: Feb 4, 2026