Computer-Assisted Tumor Volume Analysis for Earlier Glioma Growth
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current methods for detecting tumor enlargement in low-grade gliomas lack a universally accepted objective technique, relying on subjective visual comparison of longitudinal radiological studies, leading to delayed detection and variable treatment outcomes.
Innovation Solution
A computer-assisted diagnostic method using image segmentation and the online abrupt change-of-point analysis to determine tumor volume changes from sectional images, providing an objective and timely assessment of tumor growth.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If subjective visual comparison of longitudinal radiological studies is used, then clinical evaluation can be performed, but detection precision is reduced and detection time is delayed
Solution Approach 1:
The patent replaces the manual visual comparison method with an automated computer-assisted measurement system that uses image processing algorithms to objectively measure tumor dimensions and calculate volume changes from radiological images, eliminating subjective human evaluation and significantly improving both precision and speed of detection
Solution Approach 2:
The patent transforms the detection approach by changing from qualitative visual assessment to quantitative parameter measurement, using automated calculation of tumor volume based on sequential radiological image data, which enables precise objective measurement and timely detection of growth changes
2Productivity
If automated computer-assisted measurement is implemented, then measurement precision and detection speed are improved, but device complexity increases
Solution Approach 1:
The patent implements a self-service measurement system where the computer-assisted diagnostic tool automatically performs tumor dimension measurement and volume calculation without requiring complex manual intervention, enabling the system to serve itself in processing and analyzing radiological image data efficiently
Solution Approach 2:
The patent creates a multi-functional diagnostic system that can handle various types of radiological images, perform automated tumor measurement, calculate volume changes, and provide growth rate analysis, allowing a single system to perform multiple diagnostic functions that would otherwise require separate procedures
Data Source
AI summary
A method and computer-based system is provided that assists physicians in detecting early tumor growth, for example, glioblastoma (GMB) and low-grade gliomas, and allowing modification of treatment to have a positive impact on medical management, patient morbidity, outcomes and survival times. The method comprises measuring tumor volumes from radiological images to predict growth by a statistical method. The methods allow detection of increases in tumor size earlier than is currently possible and, therefore, advantageous in modifying or optimizing treatment.