Related Experiment Video
Updated: May 4, 2026
10:25
Author Spotlight: Integrating High-Resolution Intravital Imaging and MRI to Enhance Stereotactic Body Radiation Therapy Planning
Published on: April 12, 2024
2.3K
Two-dimensional imaging of tumour control probabilities and normal tissue complication probabilities
Marta Szlag1, Krzysztof Slosarek1
1Department of Radiotherapy and Brachytherapy Planning, Maria Skłodowska-Curie Memorial Cancer Center and Institute of Oncology Gliwice Branch, Poland.
Summary
This study introduces a novel application for visualizing treatment control probability (TCP) and normal tissue complication probability (NTCP) distributions on CT scans. The tool aids in radiotherapy planning by presenting these complex calculations as intuitive color maps.
Area of Science:
- Medical Physics
- Radiotherapy
- Image Analysis
Background:
- Accurate visualization of treatment outcomes is crucial in radiotherapy.
- Current methods may not effectively integrate dose distribution with complication and control probabilities.
- A need exists for tools that simplify the interpretation of complex treatment planning data.
Purpose of the Study:
- To develop a method for presenting Treatment Control Probability (TCP) and Normal Tissue Complication Probability (NTCP) distributions.
- To calculate these distributions based on spatial dose distribution for a selected CT slice.
- To create a user-friendly application for visualizing these probabilities.
Main Methods:
- Converted color maps of dose, structures, and CT information into data arrays.
- Utilized Matlab v.6.5 for all calculations.
- Developed a menu-driven application with a transformation function and mathematical models for pixel-by-pixel TCP/NTCP calculations.
Main Results:
- Created an application to visualize TCP and NTCP distributions on a single CT scan.
- The application allows definition of 10 targets (PTV) and 10 organs at risk (OaR).
- TCP/NTCP matrices are computed and presented as color maps superimposed on CT slices, with user-definable parameters.
Conclusions:
- The developed application serves as a prototype evaluation tool for radiotherapy planning.
- While currently limited to a single plane, it represents a foundational step for future advancements.
- This visualization method enhances the understanding of treatment efficacy and potential toxicity.
