Imaging-Based ETT Sizing for Accurate Intubation
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Solution Overview
Problem
Existing endotracheal tube (ETT) sizing methods are inadequate for patient-specific anatomy, leading to potential misplacement and complications during mechanical ventilation, such as cerebral hypoxia, nerve damage, and inadequate ventilation.
Innovation Solution
An intubation assistance device that uses electronic processing to analyze patient images, determine optimal ETT size and depth based on trachea diameter and intubation pathway length, and display recommendations on a display device.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If general ETT sizing formulas (Age+16/4 for diameter, Age+12/2 for depth) are used, then the sizing process is simple and quick, but the ETT placement accuracy is insufficient due to patient-specific anatomical variations
Solution Approach 1:
The system performs preliminary imaging (CT or ultrasound) and automated measurement of tracheal diameter and intubation pathway length before ETT selection. This advance preparation provides patient-specific anatomical data that guides ETT sizing, eliminating the need for complex intraoperative adjustments while improving placement accuracy.
Solution Approach 2:
The patent replaces manual measurement and estimation methods with automated image processing and computer-aided measurement systems. The electronic controller automatically calculates ETT diameter and depth recommendations based on imaging data, substituting complex manual anatomical assessment with automated computational analysis.
2Reliability
If tracheal intubation is performed as a partially blind procedure using laryngoscope visualization only, then the procedure is faster and simpler, but the risk of misplacement (esophagus or bronchi) increases
Solution Approach 1:
The system performs preliminary 3D reconstruction and measurement of the intubation pathway and carina position before the actual intubation procedure. This advance planning provides a roadmap for tube insertion depth and trajectory, allowing the clinician to place the ETT with greater confidence while maintaining procedural efficiency.
Solution Approach 2:
The system provides real-time or pre-procedure feedback regarding optimal ETT size and insertion depth based on patient-specific anatomy. This feedback loop allows clinicians to adjust their technique and verify proper placement, significantly reducing misplacement risks while integrating seamlessly into the existing workflow.
3Object-affected harmful factors
If ETT diameter is selected using standard formulas, then the selection process is straightforward, but complications such as inadequate ventilation or airway damage may occur due to anatomical variations
Solution Approach 1:
The patent employs automated image analysis and computer-aided measurement to rapidly assess patient anatomy and recommend ETT diameter. This automated system processes imaging data much faster than manual measurement, providing accurate, patient-specific sizing recommendations without significant time loss and eliminating complications from anatomical variations.
Data Source
AI summary
An intubation assistance device includes an electronic controller configured to: identify, from one or more images of a patient, information about the patient including at least a diameter of a trachea and a length of an intubation pathway; determine a recommended ETT size including an ETT diameter and an ETT depth of insertion from the determined diameter of the trachea and the determined length of the intubation pathway; and display the recommended ETT size on a display device.