PCI Procedural Planning Using Coronary Imaging and Cath Lab Feedback
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current planning tools for percutaneous coronary interventions (PCIs) do not effectively integrate noninvasive coronary imaging data with the Cath Lab environment, limiting the ability to generate and update procedural plans during the procedure.
Innovation Solution
A medical system utilizing trained machine learning and artificial intelligence algorithms that generate and update procedural plans based on pre-, intra-, and post-procedural data, integrating with Cath Lab operations to improve patient outcomes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If noninvasive coronary imaging data is used for diagnosis only, then diagnostic accuracy is improved, but procedural planning capability deteriorates
Solution Approach 1:
The imaging system is enhanced to serve dual purposes: diagnostic evaluation and procedural planning. The noninvasive coronary imaging data is processed to generate both diagnostic assessments and procedural roadmaps, allowing the same data source to support multiple clinical functions without requiring separate imaging modalities.
Solution Approach 2:
Procedural planning is performed in advance using noninvasive imaging data before the patient enters the Cath Lab. The system generates preliminary procedural roadmaps that outline the intended intervention strategy, allowing clinicians to prepare treatment plans beforehand and reduce procedural uncertainty.
2Loss of time
If planning tools are used outside Cath Lab, then procedural preparation is improved, but integration with Cath Lab operations deteriorates
Solution Approach 1:
The external planning tool is merged with the Cath Lab imaging system through data integration. Noninvasive imaging data acquired outside the Cath Lab is imported and combined with intra-procedural imaging data, allowing seamless transition from planning to execution without requiring separate systems or duplicate data acquisition.
Solution Approach 2:
The system establishes a feedback loop where intra-procedural imaging data from the Cath Lab is fed back into the planning system. This allows real-time updates and refinements to the procedural plan based on actual procedural findings, ensuring the plan remains optimized throughout the intervention.
3Device complexity
If procedural plans are static and pre-determined, then planning simplicity is improved, but adaptability to intra-procedural findings deteriorates
Solution Approach 1:
The procedural plan transitions from a static document to a dynamic, updateable roadmap. The system allows clinicians to modify the procedural plan in real-time based on intra-procedural imaging findings, device performance, and patient response, ensuring the plan adapts to actual procedural conditions while maintaining the organizational structure of a predefined roadmap.
Data Source
AI summary
Example medical systems and techniques are disclosed. A medical device system includes memory configured to store one or more procedural plans and processing circuitry communicatively coupled to the memory. The processing circuitry is configured to receive pre-therapeutic imaging data, the pre-therapeutic imaging data being indicative of a coronary issue in at least a portion of a vasculature of a patient. The processing circuitry is configured to automatically determine, based on the pre-therapeutic imaging data, a procedural plan for use during a therapeutic medical procedure in a catheter laboratory (Cath Lab) and output the procedural plan.