Renal Denervation Therapy Selection System
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Solution Overview
Problem
Current renal denervation therapy faces challenges in determining the most suitable modality and location for effective treatment, leading to unnecessary procedures, increased costs, and patient discomfort due to the variability in renal arterial anatomy among patients.
Innovation Solution
A computing device and system configured to receive renal arterial anatomy information, determine the optimal location and modality of renal denervation therapy based on this information, and output indications for clinicians to apply the most effective treatment, utilizing machine learning models to analyze anatomical data and predict therapeutic outcomes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If a standard renal denervation procedure is performed without pre-planning, then the procedure can be completed, but unnecessary ablations increase procedure time and patient discomfort
Solution Approach 1:
The system performs preliminary planning of the renal denervation procedure by analyzing patient-specific renal arterial anatomy before the actual procedure. This includes identifying optimal ablation locations and determining the number of ablations needed, which allows the clinician to execute the procedure efficiently without unnecessary trial-and-error ablations, thereby reducing procedure time while maintaining effectiveness
2Reliability
If multiple ablations are performed to ensure effective treatment, then therapeutic outcome is improved, but patient discomfort and procedure complexity increase
Solution Approach 1:
The system determines patient-specific characteristics of the renal arterial anatomy to identify precise locations where ablations will be most effective. By targeting specific anatomical features rather than performing blanket ablations, the system achieves reliable therapeutic outcomes with fewer, more precisely targeted ablations, reducing procedure complexity while maintaining effectiveness
3Ease of operation
If a one-size-fits-all renal denervation approach is used, then the procedure is simple to perform, but treatment effectiveness varies due to anatomical variability
Solution Approach 1:
The system changes the approach from a fixed procedural protocol to a patient-specific customized plan by analyzing individual anatomical parameters such as renal arterial structure and characteristics. This allows the procedure to be adapted to each patient's unique anatomy, ensuring treatment effectiveness while maintaining procedural simplicity through automated planning and guidance
Data Source
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AI summary
An example computing device includes a memory; and processing circuitry coupled to the memory, the processing circuitry being configured to: receive renal arterial anatomy information of a patient; determine one or more of a location of renal denervation therapy or a modality of renal denervation therapy to apply to the patient based on the renal arterial anatomy information; and output an indication of one or more of the determined location to apply renal denervation therapy to the patient or the determined modality of renal denervation therapy to apply to the patient.