Facial Analysis to Classify Difficult Intubation
ConditionDifficult Intubation
Trial statusRecruiting
Trial phaseNot listed
Trial typeObservational
Biological sexAll
Age18-99
SponsorWake Forest University Health Sciences
About this trial
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.
Eligibility criteria
This trial accepts healthy volunteersQualifiers
Patients requiring endotracheal intubation
Patients consenting to acquisition of photographic images of the head and neck
Disqualifiers
Patients who had undergone head or neck surgery
Patients in whom central venous catheters or other interventions that prevent full view of the features of the face in frontal and profile views
Patients who were neither easy nor difficult to intubate by our criteria
Trial population
Patients undergoing surgical procedures requiring general anesthesia with endotracheal intubation; patients from all ethnic groups
Trial design
Design model
Cohort
Time perspective
Prospective
Treatments tested in this trial
photographing head and neck
Other interventionTaking 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.
Treatment groups
3,500 Participants
are divided into 5 treatment groupsGroup A: easy to intubate, model derivation1 intervention
Group B: difficult to intubate, model derivation1 intervention
Group C: easy to intubate, model validation1 intervention
Group D: difficult to intubate, model validation1 intervention
Group E: Test1 intervention
Trial outcomes
Primary outcomes
1
Computer algorithm to predict difficulty of endotracheal intubation
The outcome will be 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. A digital application has the potential to decrease complications related to intubation difficulty and increase patient safety.
Time frame
Approximately 2 years, based on current enrollment patternSponsors and contacts
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Source ClinicalTrials.gov