An open-source framework for image-based planning and PET/computed tomography dosimetry in yttrium-90...

Area of Science:

• Medical Imaging
• Radiology
• Nuclear Medicine

Background:

• Yttrium-90 (Y-90) radioembolization is a targeted cancer therapy.
• Accurate dosimetry is crucial for effective Y-90 radioembolization.
• Existing dosimetry platforms can be proprietary and inaccessible.

Purpose of the Study:

• To introduce Yttrium Radioembolization Dosimetry Evaluation (YRDose), an open-source software suite.
• To enable image-based activity planning and post-therapy dosimetry for Y-90 radioembolization.
• To provide a reproducible research framework for personalized dosimetry workflows.

Main Methods:

• YRDose was developed in Python as modules for 3D Slicer.
• It integrates CT and technetium-99m SPECT/CT for pre-therapy planning.
• Optional Y-90 PET/CT allows for post-therapy dose verification.

Main Results:

• The software facilitates CT-based segmentation, LSF calculation, and activity allocation.
• It enables mean absorbed dose estimation using the MIRD formalism.
• YRDose ensures traceability and reproducibility within a single software environment.

Conclusions:

• YRDose offers a reproducible, open-source platform for Y-90 radioembolization planning and dosimetry.
• It serves as an accessible research tool for institutions lacking proprietary systems.
• Further validation is required before routine clinical use.