BIGDOSE: software for 3D personalized targeted radionuclide therapy dosimetry.

Area of Science:

• Medical Physics
• Nuclear Medicine
• Radiotherapy

Background:

• Advanced 3D quantitative radionuclide imaging improves targeted radionuclide therapy (TRT) dosimetry accuracy to the voxel level.
• Current dosimetry methods require enhancement for patient-specific applications.

Purpose of the Study:

• To develop BIGDOSE, a comprehensive 3D dosimetric software.
• To incorporate novel features like image registration and virtual CT for patient-specific dosimetry.

Main Methods:

• BIGDOSE integrates image input, segmentation, non-rigid registration, curve fitting, dose conversion, and 3D dose analysis.
• Software accuracy was validated using XCAT phantom simulations and clinical patient data.
• SPECT/CT data were reconstructed, and organ-based registration preceded dose calculations.

Main Results:

• BIGDOSE demonstrated lower organ dose errors compared to OLINDA/EXM in simulations.
• BIGDOSE achieved dose errors of -9.59%±9.06% (liver), -8.36%±5.82% (spleen), -23.41%±6.67% (kidneys), and -6.05%±2.06% (lungs).
• 3D dose distribution information was effectively provided through cumulative dose volume histograms, dose maps, and iso-dose contours.

Conclusions:

• BIGDOSE offers a unified platform for voxel-based dose estimation with advanced functionalities.
• The software shows promise for streamlining clinical TRT dosimetry with high accuracy.
• BIGDOSE integrates 3D personalized imaging for potentially improved treatment outcomes.