Facial Analysis to Classify Difficult Intubation
Part of paid clinical trials in Winston-Salem, North Carolina.
- Sponsor
- Wake Forest University Health Sciences
- Study ID
- NCT01612949
- Status
- Recruiting
Conditions
- Difficult Intubation
Eligibility Criteria
- Sex
- ALL
- Age
- 18 Years - 99 Years
- Healthy Volunteers
- Accepted
Interventions
- photographing head and neck — OTHERTaking three photographs of head and neck-one photograph from front, one from left and one fron right. The photographs are analyzed by facial structure software to create face model.
Study Details
The aim of this project is to develop a computer algorithm that can accurately predict how easy or difficult it is to intubate a patient based upon digital photographs from three different perspectives. Such an application can provide a consistent, quantitative measure of intubation difficulty by analyzing facial features in captured photographs - features which have previously been shown to correlate with how easy or how hard it would be to perform the intubation procedure. This is in contrast to established subjective protocols that also serve to predict intubation difficulty, albeit with lower accuracy. A digital application has the potential to decrease potential complications related to intubation difficulty and increase patient safety.
Key Dates
- Start date
- May 31, 2012
- Status verified
- Mar 2026
- Primary completion
- Dec 31, 2027
- Completion
- Dec 31, 2027
Study Design
- Enrollment
- 3,500 participants (estimated)
Arms
- Arm: easy to intubate, model derivationeasy to intubate, model derivation. photographing head and neck
- Arm: difficult to intubate, model derivationdifficult to intubate, model derivation.photographing head and neck
- Arm: easy to intubate, model validationeasy to intubate, model validation. photographing head and neck
- Arm: difficult to intubate, model validationdifficult to intubate, model validation. photographing head and neck
- Arm: TestA group of unlabeled subjects (mix of easy and difficult intubations) to test the reproducibility of the derived and validated model(s)
Primary Outcome Measure
Computer algorithm to predict difficulty of endotracheal intubation [ Time Frame: Approximately 2 years, based on current enrollment pattern ]
Central Contacts
- Scott Segal, MD, MHCM(336) 716-7084
- Angela Goodson336-716-4497
Locations (1)
| Facility | City | State | ZIP | Site coordinators |
|---|---|---|---|---|
| Wake Forest Baptist Medical Center | Winston-Salem | North Carolina | 27157 | Scott Segal, MD 336-716-4497 Scott Segal, MD, MHCM (PRINCIPAL_INVESTIGATOR) |