Biological Adaptive Radiotherapy With Real-Time Plan Updates
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Solution Overview
Problem
Radiotherapy treatment plans are often outdated by the time of delivery due to changes in patient anatomy and physiology, leading to inefficiencies and potential harm to non-target regions.
Innovation Solution
Adaptive radiotherapy systems that utilize real-time biological and physiological data from imaging modalities like PET, MRI, and CT to update treatment plans during the session, adjusting dosimetric objectives, geometry, and fractionation patterns based on tracer uptake, tissue metabolism, and other biological activity data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If treatment plans are updated frequently based on real-time imaging data, then treatment precision and safety are improved, but system complexity and computational requirements increase
Solution Approach 1:
The system dynamically adjusts treatment plans in real-time based on changing patient anatomy and tumor characteristics. The treatment delivery system incorporates continuous or periodic imaging acquisition and automatically updates treatment parameters such as beam direction, dose distribution, and treatment duration to account for anatomical changes, tumor response, or side effects, thereby maintaining high precision without requiring complete system redesign
Solution Approach 2:
The system implements closed-loop feedback by continuously monitoring patient response through imaging modalities (CT, MRI, PET) and using this information to adjust treatment parameters. The feedback mechanism compares actual treatment outcomes with planned objectives and automatically modifies subsequent treatment deliveries to correct deviations, ensuring precision while managing complexity through algorithmic control
2Adaptability or versatility
If real-time imaging data is acquired and processed, then treatment adaptability is improved, but time consumption and processing requirements increase
Solution Approach 1:
The system performs preliminary processing of imaging data and pre-calculates treatment adjustments during breaks in the treatment sequence or before critical delivery phases. By preparing adaptation plans in advance based on predicted changes, the system reduces real-time processing delays while maintaining high adaptability to patient condition changes
Solution Approach 2:
The system maintains continuous treatment delivery with minimal interruption by processing imaging data and implementing adjustments during low-criticality periods of the treatment cycle. The useful action of treatment delivery continues uninterrupted while background processes handle imaging analysis and plan updates, ensuring both adaptability and time efficiency
3Productivity
If treatment plans are adjusted to account for anatomical changes, then treatment efficacy is improved, but the risk of irradiating non-target regions increases
Solution Approach 1:
The system applies localized adjustments to treatment plans based on specific regions of interest identified in real-time imaging. Instead of uniform changes, the system modifies beam parameters, dose distributions, and treatment fields specifically for affected areas while maintaining standard protocols for unaffected regions, thereby improving efficacy for changing tumor characteristics without inadvertently increasing non-target irradiation
Solution Approach 2:
The system incorporates safety margins and verification steps before implementing treatment adjustments. By validating proposed changes against multiple criteria (anatomical boundaries, organ-at-risk constraints, dose distribution) before execution, the system cushions against the risk of non-target irradiation while still enabling effective treatment adaptation to anatomical changes
Data Source
AI summary
Disclosed herein are systems and methods for adapting and/or updating radiotherapy treatment plans based on biological and/or physiological data and/or anatomical data extracted or calculated from imaging data acquired in real-time (e.g., during a treatment session). Functional imaging data acquired at the time of radiation treatment is used to modify a treatment plan and/or dose delivery instructions to provide a prescribed dose distribution to patient target regions. Also disclosed herein are methods for evaluating treatment plans based on imaging data acquired in real-time.