Prediction of Difficult Mask Ventilation Using 3D-Facescan and Machine Learning

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

Get a concise snapshot of the trial, including recruitment status, study phase, enrollment targets, and key timeline milestones.

Recruitment Status

COMPLETED

Total Enrollment

423 participants

Study Classification

OBSERVATIONAL

Study Start Date

2022-11-07

Study Completion Date

2023-05-15

Brief Summary

Review the sponsor-provided synopsis that highlights what the study is about and why it is being conducted.

The aim of this study is to prove feasibility and assess the diagnostic performance of a machine learning algorithm that relies on data from 3D-face scans with predefined motion-sequences and scenes (MASCAN algorithm), together with patient-specific meta-data for the prediction of difficult mask ventilation. A secondary aim of the study is to verify whether voice and breathing scans improve the performance of the algorithm. From the clinical point of view, we believe that an automated assessment would be beneficial, as it preserves time and health-care resources while acting observer-independent, thus providing a rational, reproducible risk estimation.

Related Clinical Trials

Explore similar clinical trials based on study characteristics and research focus.

External Validation of the MASCAN Score for the Classification of Difficult Mask Ventilation

NCT07114549

Airway Management General Anesthesia Mask Ventilation

RECRUITING

Retrospective Study in Patients Who Have Had a Difficult Intubation.

NCT02576756

Aspiration Pneumonia

COMPLETED

poStoperative Anesthesia Care: Facial Mask vs Hfnc and Thoracic Ultrasound for Reduction of Atelectasis Incidence

NCT04566419

Pulmonary Atelectasis Postoperative Complications Gynecologic Cancer +2 more

COMPLETED NA

Use of a Pressurized Face Mask for Preventing Respiratory Complications After Chest Surgery

NCT02771327

Lung Resection

COMPLETED PHASE4

Change of Regional Ventilation During Spontaneous Breathing After Lung Surgery

NCT02779595

Pulmonary Infection Respiratory Insufficiency Aspiration Pneumonitis +2 more

COMPLETED

Detailed Description

Dive into the extended narrative that explains the scientific background, objectives, and procedures in greater depth.

Conditions

See the medical conditions and disease areas that this research is targeting or investigating.

Mask Ventilation General Anesthesia

Study Design

Understand how the trial is structured, including allocation methods, masking strategies, primary purpose, and other design elements.

Observational Model Type

COHORT

Study Time Perspective

PROSPECTIVE

Study Groups

Review each arm or cohort in the study, along with the interventions and objectives associated with them.

Study cohort

Patients undergoing ENT or OMS surgery with general anesthesia with facemask ventilation and tracheal intubation (observational)

No interventions assigned to this group

Eligibility Criteria

Check the participation requirements, including inclusion and exclusion rules, age limits, and whether healthy volunteers are accepted.

Inclusion Criteria

* Patients scheduling for ENT or OMS surgery in general anaesthesia, who require facemask ventilation and tracheal intubation after induction of anesthesia
* Patients aged at least 18 years
* Ability to understand the patient information and to personally sign and date the informed consent to participate in the study
* The patient is co-operative and available for the entire study
* Provided informed consent/patient representative