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Phys Med ; 122: 103384, 2024 Jun.
Article in English | MEDLINE | ID: mdl-38824827

ABSTRACT

The dosimetry evaluation for the selective internal radiation therapy is currently performed assuming a uniform activity distribution, which is in contrast with literature findings. A 2D microscopic model of the perfused liver was developed to evaluate the effect of two different 90Y microspheres distributions: i) homogeneous partitioning with the microspheres equally distributed in the perfused liver, and ii) tumor-clustered partitioning where the microspheres distribution is inferred from the patient specific images. METHODS: Two subjects diagnosed with liver cancer were included in this study. For each subject, abdominal CT scans acquired prior to the SIRT and post-treatment 90Y positron emission tomography were considered. Two microspheres partitionings were simulated namely homogeneous and tumor-clustered partitioning. The homogeneous and tumor-clustered partitionings were derived starting from CT images. The microspheres radiation is simulated by means of Russell's law. RESULTS: In homogenous simulations, the dose delivery is uniform in the whole liver while in the tumor-clustered simulations a heterogeneous distribution of the delivered dose is visible with higher values in the tumor regions. In addition, in the tumor-clustered simulation, the delivered dose is higher in the viable tumor than in the necrotic tumor, for all patients. In the tumor-clustered case, the dose delivered in the non-tumoral tissue (NTT) was considerably lower than in the perfused liver. CONCLUSIONS: The model proposed here represents a proof-of-concept for personalized dosimetry assessment based on preoperative CT images.


Subject(s)
Carcinoma, Hepatocellular , Liver Neoplasms , Microspheres , Radiotherapy Dosage , Yttrium Radioisotopes , Liver Neoplasms/radiotherapy , Liver Neoplasms/diagnostic imaging , Carcinoma, Hepatocellular/radiotherapy , Carcinoma, Hepatocellular/diagnostic imaging , Humans , Yttrium Radioisotopes/therapeutic use , Models, Biological , Tomography, X-Ray Computed , Radiation Dosage , Microscopy
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