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 — OTHER
    Taking 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 derivation
    easy to intubate, model derivation. photographing head and neck
  • Arm: difficult to intubate, model derivation
    difficult to intubate, model derivation.photographing head and neck
  • Arm: easy to intubate, model validation
    easy to intubate, model validation. photographing head and neck
  • Arm: difficult to intubate, model validation
    difficult to intubate, model validation. photographing head and neck
  • Arm: Test
    A 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

Locations (1)

FacilityCityStateZIPSite coordinators
Wake Forest Baptist Medical CenterWinston-SalemNorth Carolina27157
Scott Segal, MD
336-716-4497
Scott Segal, MD, MHCM (PRINCIPAL_INVESTIGATOR)

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