Medical Information Processing for CT-Based Lung Risk Mapping
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Solution Overview
Problem
Existing methods for measuring transpulmonary pressure in patients with acute respiratory distress syndrome (ARDS) are unable to accurately assess the risk of ventilator-associated lung injury, leading to high mortality rates due to uniform lung protective ventilation strategies.
Innovation Solution
A medical information processing device that utilizes CT images, esophageal pressure, and airway pressure to generate a transpulmonary pressure map and risk information map, enabling detailed and accurate evaluation of lung injury risk through machine learning and visualization.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If transpulmonary pressure measurement methods using an esophageal balloon are used, then transpulmonary pressure can be measured, but the measurement reflects only a specific local lung region and cannot accurately ascertain the transpulmonary pressure in the entire lung
Solution Approach 1:
The patent segments the lung into multiple three-dimensional regions based on CT images, calculating transpulmonary pressure for each region rather than measuring at a single location. This allows comprehensive coverage of the entire lung while maintaining measurement precision through regional analysis.
Solution Approach 2:
The patent transitions from one-dimensional point measurement (esophageal balloon at a single location) to three-dimensional volumetric measurement by utilizing CT image data to define multiple spatial regions throughout the lung, thereby expanding spatial coverage while maintaining accuracy.
2Ease of manufacture
If uniform artificial respiration management is performed for all patients with the same tidal volume, then ventilation can be standardized, but the mortality rate of patients remains extremely high due to inability to address individual variations
Solution Approach 1:
The patent applies local quality by calculating individualized transpulmonary pressure values for each patient based on their specific CT images and pressure measurements. This enables tailored ventilation strategies adapted to each patient's unique lung mechanics, improving outcomes while maintaining a systematic approach.
Solution Approach 2:
The patent changes the ventilation parameter from a uniform fixed tidal volume to a dynamically calculated individualized tidal volume based on each patient's measured transpulmonary pressure. This parameter adaptation optimizes ventilation for each patient while preserving the structured protocol framework.
3Adaptability or versatility
If individualized lung protective ventilation strategy is established for each patient, then patient-specific care can be provided, but accurate measurement of transpulmonary pressure in the entire lung is required which is not currently achievable
Solution Approach 1:
The patent segments the lung into multiple three-dimensional regions based on CT images, calculating transpulmonary pressure for each region rather than measuring at a single location. This allows comprehensive coverage of the entire lung while maintaining measurement precision through regional analysis.
Solution Approach 2:
The patent replaces the mechanical esophageal balloon measurement system with a computational approach using CT image data and pressure measurements. This substitution enables whole-lung assessment without the spatial limitations of traditional mechanical measurement devices.
Data Source
AI summary
A medical information processing device of an embodiment includes processing circuitry. The processing circuitry is configured to acquire a CT image of a chest of a subject, acquires an esophageal pressure and an airway pressure of the subject, generate a risk information map in a lung field of the subject on a basis of the CT image, the esophageal pressure, and the airway pressure, estimate risk information in the lung field of the subject on a basis of the risk information map, and display the risk information map and the risk information on a display.