Functional Respiratory Imaging for Sensitive Condition Assessment
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Solution Overview
Problem
Current pulmonary function tests, such as FEV1, have limited sensitivity, making it difficult to demonstrate the efficacy of novel respiratory compounds and increasing the number of patients needed in clinical trials, which raises costs and complicates bioequivalence demonstrations for respiratory drugs.
Innovation Solution
A method involving the acquisition of three-dimensional images of the respiratory system using CT scans at functional residual capacity and total lung capacity, followed by calculation of specific structural models and comparison to assess respiratory conditions, treatment efficacy, and optimize treatment protocols, utilizing computational fluid dynamics to model airflow and airway behavior.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If spirometry (FEV1) is used to assess respiratory conditions, then the assessment method is simple and widely available, but the sensitivity is limited and cannot adequately demonstrate treatment efficacy
Solution Approach 1:
The patent segments the respiratory system into distinct anatomical regions (lobes, segments, airways) and assesses function independently for each region. This is achieved by creating three-dimensional structural models from CT images and performing region-specific functional assessments, allowing detection of localized changes that would be masked in global spirometry measurements.
Solution Approach 2:
The patent transitions from one-dimensional spirometry measurements (volume and flow) to three-dimensional functional imaging that maps respiratory function across spatial dimensions. By combining anatomical segmentation with functional assessment in 3D space, the system detects regional variations in ventilation and airway function that cannot be captured by conventional single-value spirometry.
2Measurement precision
If the number of patients in clinical trials is increased to overcome limited sensitivity of current tests, then statistical power is improved, but costs increase and trial complexity increases
Solution Approach 1:
The patent applies local quality assessment by evaluating respiratory function in specific anatomical regions rather than globally. By identifying and measuring functional changes in affected lobes or segments, the method detects treatment effects with higher sensitivity, reducing the sample size needed to achieve statistical significance.
Solution Approach 2:
The patent replaces the mechanical spirometry measurement system with a computational imaging and modeling system. This substitution enables more sensitive detection of functional changes through three-dimensional structural modeling and computational fluid dynamics, allowing smaller patient cohorts to provide sufficient statistical power.
3Adaptability or versatility
If conventional pulmonary function tests are used, then the assessment is quick and easy to perform, but the ability to optimize treatment protocols is limited
Solution Approach 1:
The patent performs preliminary three-dimensional structural modeling and anatomical segmentation from baseline CT images. This preliminary action creates a detailed structural framework that enables rapid functional assessment and treatment optimization in subsequent evaluations, reducing the time needed for detailed analysis in follow-up studies.
Solution Approach 2:
The patent introduces three-dimensional structural models and computational fluid dynamics simulations as intermediary tools between anatomical imaging and functional assessment. These intermediaries translate static anatomical structures into dynamic functional predictions, enabling treatment optimization without requiring lengthy direct measurements.
Data Source
AI summary
A method for determining a respiratory condition or for assessing the efficacy of a treatment for a respiratory condition or for optimizing a treatment protocol for a respiratory condition in a subject comprising the steps of: a) obtaining image data concerning two or more three-dimensional images of the subject's respiratory system, which images have been previously acquired during an assessment period; b) calculating a specific three-dimensional structural model of the subject's respiratory system for each of the two or more three-dimensional images of step a); c) comparing the three-dimensional structural models of step b) with each other to determine a respiratory condition or to assess the efficacy of a treatment for a respiratory condition or to optimize a treatment protocol for a respiratory condition.