Patient-Specific Locally Varying Margin for Radiotherapy Motion Compensation

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Solution Overview

Problem

Current radiation therapy planning faces challenges in accurately distributing high doses to cancer cells while minimizing exposure to healthy cells, particularly sensitive organs at risk, due to uncertainties in tumor spread, patient motion, and positioning inaccuracy, often relying on generic margins that do not account for individual and location-specific variations in patient motion.

Innovation Solution

A method using patient-specific, locally varying margins determined from multiple medical images acquired over a time interval similar to the radiotherapy fraction, allowing for precise compensation of intrafraction and interfraction motion, which can be adapted continuously during treatment to ensure optimal dose distribution.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Reliability

If generic margins are used to compensate for patient motion, then the treatment target is adequately covered, but the organs at risk receive excessive radiation dose

Engineering Contradiction:
Improvetreatment target coverageVSAvoidradiation dose to organs at risk
Core Design Contradiction:
ReliabilityVSObject-affected harmful factors

Solution Approach 1:

The patent applies local quality by transitioning from uniform generic margins to locally varying patient-specific margins. The margin is calculated differently for different locations based on actual motion measurements at each specific location, allowing optimal protection of organs at risk while maintaining target coverage where motion occurs

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The patent changes the margin parameter from a fixed generic value to a dynamic patient-specific value that varies by location. The margin is recalculated based on measured motion parameters for each patient and location, transforming it from a static safety buffer to an adaptive parameter that reflects actual clinical conditions

Inventive Principle:
Principle #35Parameter changes

2Reliability

If larger margins are applied to account for motion uncertainty, then the treatment target is adequately covered, but the precision of dose distribution to cancer cells decreases

Engineering Contradiction:
Improvetreatment target coverageVSAvoiddose distribution precision
Core Design Contradiction:
ReliabilityVSManufacturing precision

Solution Approach 1:

The patent applies local quality by making the margin location-dependent rather than uniform. Areas with measured high motion receive larger margins, while areas with minimal motion receive smaller margins, preserving dose precision in stable regions while ensuring coverage in mobile regions

Inventive Principle:
Principle #3Local quality

Solution Approach 2:

The patent applies partial action by using only the necessary margin size for each location based on actual motion measurements. Instead of applying excessive uniform margins everywhere, the margin is precisely calibrated to the measured motion at each location, avoiding unnecessary dose spread

Inventive Principle:
Principle #16Partial or excessive action

3Measurement precision

If patient-specific motion quantification is implemented, then the margin accuracy is improved, but the complexity of the treatment planning process increases

Engineering Contradiction:
Improvemotion quantification accuracyVSAvoidtreatment planning complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent applies self-service by having the system automatically perform motion quantification and margin calculation based on acquired images. The computer program autonomously processes the imaging data, identifies motion patterns, and generates patient-specific margins without requiring complex manual intervention or expertise

Inventive Principle:
Principle #25Self-service

4Reliability

If multiple medical images are acquired over time to determine patient-specific margins, then the representativeness of the margin for individual patient motion is improved, but the acquisition time and treatment delay increase

Engineering Contradiction:
Improvemargin representativenessVSAvoidimage acquisition time
Core Design Contradiction:
ReliabilityVSLoss of time

Solution Approach 1:

The patent applies preliminary action by acquiring multiple images over time before treatment to establish the patient-specific motion pattern. This pre-acquisition data collection allows the system to characterize individual motion behavior in advance, creating a reliable basis for margin calculation that represents the patient's typical motion during treatment

Inventive Principle:
Principle #10Preliminary action

Data Source

PatentUS10792515B2Method for determining a patient specific locally varying margin
Publication Date: 2020.10.06 KONINKLIJKE PHILIPS NV
  • US10792515B2 patent drawing
  • US10792515B2 patent drawing
  • US10792515B2 patent drawing

AI summary

It is an object of the invention to provide for an improved radiation treatment. According to a first aspect of the invention, this object is achieved by a method for determining a patient specific locally varying margin on a treatment target and/or an organ at risk in order to compensate for local intrafraction motion expected during a radiotherapy fraction to be delivered over a radiotherapy fraction time interval. The patient specific locally varying margin is determined based on a displacement and/or an estimate of the displacement of at least a first location and a second location on the treatment target and/or organ at risk. The method comprises steps of: acquiring a first medical image of the treatment target and/or the organ at risk and acquiring a second medical image of the treatment target and/or the organ at risk, wherein the time between the acquisition of the first medical image and the second medical image is similar to the radiotherapy fraction time interval and determining of positions of the first location and the second location in the first medical image and in the second medical image and using the determined positions for determining the patient specific locally varying margin around the treatment target and/or organ at risk.