Radiation Therapy Goal Prioritization Interface
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Solution Overview
Problem
Radiation therapy treatment plans often lack clear prioritization of clinical goals, making it difficult for prescribing users to understand dosing trade-offs and optimize plans effectively, as they rely on general understanding rather than specific technical details.
Innovation Solution
A user interface and control circuit system that allows prescribing users to establish and dynamically change the relative priority of radiation-treatment clinical goals, generating and saving corresponding fluence-based radiation dose distributions, and visualizing dosing trade-offs, using predefined rules to determine optimized treatment plans.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If optimization objectives are specifically designed to reflect technical details and platform specifications, then manufacturing precision and measurement precision are improved, but device complexity and ease of operation deteriorate because these details are outside the expertise of prescribing users
Solution Approach 1:
The patent introduces an intermediary system that translates between clinical goals (prescribed by users) and optimization objectives (technical parameters). The system automatically generates optimization objectives from user-defined clinical goals, serving as a mediator that bridges the gap between user expertise and technical complexity without requiring users to directly handle complex technical parameters
Solution Approach 2:
The system enables self-service by allowing prescribing users to define their own optimization objectives through simple clinical goals without needing to understand the underlying technical complexity. The system automatically handles the complex task of translating clinical intentions into precise optimization parameters, making the complex system usable by non-experts
2Adaptability or versatility
If multiple radiation-treatment clinical goals are established with relative priority, then adaptability is improved, but ease of operation deteriorates because users lack understanding of dosing trade-offs corresponding to prioritization choices
Solution Approach 1:
The patent implements feedback by displaying predicted dose distributions to users based on their prioritization choices. This allows users to see the actual dosing trade-offs resulting from different priority assignments, enabling informed decision-making. The system provides visual feedback showing how changing priorities affects dose delivery to target volumes and organs at risk
Solution Approach 2:
The system performs preliminary action by automatically calculating and displaying predicted dose distributions for different prioritization scenarios before the user finalizes their choices. This allows users to preview the consequences of different priority assignments and make informed decisions without having to manually compute or understand complex dosing trade-offs
Data Source
AI summary
A prescribing user can designate and prioritize clinical goals that can, in turn, serve as the basis for optimization objectives to guide the development of a radiation treatment plan. The prescribing user can then alter that prioritization of one or more clinical goals and view information regarding changes to fluence-based dose distributions that occur in response to those changes to relative prioritization amongst the clinical goals to thereby understand dosing tradeoffs that correspond to prioritization amongst the clinical goals.