Precise X-ray Visualization by Double Network Polymeric Gel

Area of Science:

• Medical Physics
• Materials Science
• Radiotherapy Technology

Background:

• Gel dosimeters are crucial for radiotherapy dose verification due to their tissue equivalence.
• Current gel dosimeters face challenges like complex readout, low spatial resolution, and post-irradiation instability.

Purpose of the Study:

• To develop a novel gel dosimeter with enhanced spatial resolution, stability, and 3D printing capabilities for advanced radiotherapy verification.
• To address the limitations of existing gel dosimeters in clinical applications.

Main Methods:

• Utilized radiation-induced expansion in a double network gel dosimeter to create a dose-dependent redshift in structural color.
• Characterized the dosimeter's sensitivity, spatial resolution, and stability under various environmental conditions, including UV irradiation and drying-wetting cycles.
• Demonstrated the feasibility of 3D printing complex shapes with the developed gel dosimeter.

Main Results:

• Achieved a maximum sensitivity of 35.8 nm/Gy for X-ray detection within the 0-10 Gy range.
• Demonstrated a spatial resolution exceeding 50 μm.
• Exhibited excellent stability against UV irradiation and retained dosimetric information after 10 drying-wetting cycles.
• Successfully 3D printed complex shapes, a novel capability for gel dosimeters.

Conclusions:

• The developed double network gel dosimeter offers a promising solution for spatially precise radiotherapy dose verification.
• Its enhanced stability, sensitivity, and 3D printing potential overcome key limitations of existing technologies.
• This innovation paves the way for more advanced and accurate radiotherapy treatments.