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Updated: Aug 6, 2026

Y-90 Radioembolization and PD-1 Inhibitor as Neoadjuvant Treatment in Hepatocellular Carcinoma
Published on: May 24, 2024
An open-source framework for image-based planning and PET/computed tomography dosimetry in yttrium-90
Tadeu Takao Almodovar Kubo1, Lidia Vasconcellos de Sá
1National Nuclear Safety Authority - Institute of Radiation Protection and Dosimetry, Rio de Janeiro - RJ, Brazil.
Yttrium-90 radioembolization planning is enhanced by YRDose, an open-source software for image-based dosimetry. This tool aids in personalized treatment by enabling activity planning and dose verification.
Area of Science:
- Medical Physics
- Radiology
- Oncology
Background:
- Yttrium-90 (Y-90) radioembolization requires precise dosimetry for effective treatment.
- Current dosimetry methods can be complex and rely on proprietary software.
Purpose of the Study:
- To introduce Yttrium Radioembolization Dosimetry Evaluation (YRDose), an open-source software suite.
- To provide a platform for image-based activity planning and post-therapy dosimetry in Y-90 radioembolization.
Main Methods:
- YRDose was developed using Python within the 3D Slicer platform.
- It integrates CT and technetium-99m SPECT/CT for pre-therapy planning and optional Y-90 PET/CT for verification.
- The workflow includes segmentation, LSF calculation, activity allocation, and dose estimation.
Main Results:
- The YRDose framework enables sequential image analysis, volumetric LSF calculation, and absorbed dose estimation.
- It preserves traceability and reproducibility by storing all data within a single scene.
- The software facilitates personalized dosimetry workflows in research settings.
Conclusions:
- YRDose offers a reproducible, open-source platform for Y-90 radioembolization planning and dosimetry.
- It serves as an accessible research framework for institutions lacking proprietary solutions.
- Further validation is required for routine clinical use.
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