3D Isodose Comparison for Radiotherapy Patient QA
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Solution Overview
Problem
Current methods for validating radiotherapy treatment plans, such as gamma analysis, fail to accurately detect clinically relevant dose differences in organs at risk (OARs), leading to potential injuries, and lack spatial dose distribution information, making precise tolerance values difficult to establish.
Innovation Solution
A novel method using isodose levels as volumetric 3D structures to evaluate dose conditions and their spatial correspondence, employing Volume Ratio (VR) and Overlapping Ratio (OR) indexes to assess the clinical acceptability of treatment plans.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If gamma analysis is used to compare dose distributions, then the comparison process is simple and widely adopted, but it fails to accurately detect clinically relevant dose differences in organs at risk
Solution Approach 1:
The patent transitions from 2D gamma analysis to 3D isodose structure comparison by converting isodose levels into volumetric structures. This dimensional change enables the detection of spatial dose distribution differences that 2D analysis misses, particularly in organs at risk, while maintaining computational feasibility through automated 3D structure generation and comparison algorithms
Solution Approach 2:
The patent applies local quality by evaluating dose distribution accuracy specifically in clinically critical regions (organs at risk) rather than uniformly across the entire treatment volume. The isodose structure comparison method focuses computational resources on comparing dose volumes in OARs where clinically relevant differences occur, providing localized precision without requiring complex analysis everywhere
2Loss of information
If gamma analysis is used for dose distribution comparison, then the methodology is universally adopted and easy to implement, but it lacks spatial dose distribution information making precise tolerance values difficult to establish
Solution Approach 1:
The patent creates 3D volumetric copies of isodose structures from dose distribution data, generating isodose surfaces and volumes that replicate the spatial dose pattern. These copied structures can be visually inspected and quantitatively compared, preserving spatial information in an easily analyzable format that maintains the simplicity of automated comparison while adding dimensional detail
Solution Approach 2:
By converting 2D dose slice data into 3D isodose volumetric structures, the patent adds the spatial dimension to dose distribution analysis. This enables visualization and measurement of dose volumes in organs at risk, providing the spatial information needed to establish precise tolerance values while maintaining automated analysis capabilities
3Reliability
If isodose levels are used as volumetric 3D structures to evaluate dose conditions, then clinically relevant dose differences and spatial correspondence can be detected, but the method complexity increases compared to gamma analysis
Solution Approach 1:
The patent segments the dose distribution into discrete isodose level structures, dividing the continuous dose field into manageable volumetric components at specific dose thresholds. Each isodose structure represents a distinct dose region that can be independently compared between planned and delivered treatments, enabling reliable detection of clinically relevant differences while simplifying the validation process into structured steps
Solution Approach 2:
The isodose structure comparison method serves multiple functions: it validates dose accuracy in organs at risk, evaluates spatial dose correspondence, detects clinically relevant differences, and provides visual and quantitative assessment all in one unified approach. This multi-functionality increases reliability without proportionally increasing complexity, as a single methodology accomplishes what would require multiple separate analyses
Data Source
AI summary
Disclosed is a method validate in a patient treatment plan of radiotherapy, the calculated radiation dose by treatment planning system (TPS) software, before its delivery on patient, in order to avoid clinically relevant dose differences in organs at risks, wherein the operator selected isodose levels (i.e. the set of points or zones in a medium that receive the same dose of radiation) are converted into volumetric 3D structures that are properly used to value either the operator selected CRDVCs (Clinical Relevant Dose Volumetric Conditions) and their relative spatial correspondence thus detecting all the dose differences in organs at risk. (OARs) and in PTV (Planning Target Volume) that can be responsible for the inadequacy or the clinical unacceptability (i.e. undeliverability) of the radiotherapic treatment plan.