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3D-Printed Organ-Realistic Phantoms to Verify Quantitative SPECT/CT Accuracy for 177Lu-PSMA-617 Treatment Planning
Lydia J Wilson1, Sara Belko2,3, Eric Gingold4
1Department of Radiation Oncology, Thomas Jefferson University Hospital, Philadelphia, PA 19107, USA.
New 3D-printed phantoms, created from patient scans, offer a cost-effective way to ensure accurate radiopharmaceutical therapy (RPT) dosimetry. These realistic organ models aid in validating radioactivity quantification for personalized RPT treatments.
Area of Science:
- Medical Imaging and Dosimetry
- Radiopharmaceutical Therapy (RPT)
- 3D Printing Technology
Background:
- Accurate patient-specific dosimetry is crucial for optimizing radiopharmaceutical therapy (RPT).
- Current dosimetry tools lack validation under clinically realistic conditions.
- Need for reliable methods to commission patient-specific RPT radioactivity quantification.
Purpose of the Study:
- To develop a workflow for designing and fabricating patient-derived, organ-realistic RPT phantoms.
- To evaluate the feasibility of these phantoms for commissioning patient-specific RPT radioactivity quantification.
- To support accurate dosimetry for personalized RPT.
Main Methods:
- Utilized patient CT/MR imaging, CAD, and 3D printing to create anthropomorphic kidney and parotid phantoms.
- Phantoms featured realistic organ spacing, orientation, and tissue heterogeneities.
- Injected known 177Lu-PSMA-617 radioactivity into phantoms for SPECT/CT imaging and quantitative analysis.
Main Results:
- Fabricated phantoms cost-effectively (<$250, <84 hours) with geometric accuracy and watertightness.
- Quantitative SPECT imaging underestimated injected radioactivity (mean error: -13.2%).
- Recovery coefficients ranged from 0.82 to 0.93, correlated with phantom geometry.
Conclusions:
- Patient-derived, 3D-printed phantoms are a feasible and cost-effective tool for RPT dosimetry commissioning and QA.
- These phantoms enable comprehensive accuracy evaluation in clinically relevant geometries.
- Widespread use can improve RPT dose response understanding and enable personalized dosing.
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