Personalized three-dimensional dose calculation method based on multi-modal images in dosimetry assessment of prostate cancer with skull metastasis: a Monte Carlo simulation study

Abstract Background The nuclear medicine treatment based on 177Lu-PSMA-617 has achieved excellent therapeutic effects on Prostate cancer (PCa), but there is a lack of three-dimensional dosimetry analysis of organs at risk (OARs) and distant metastatic lesions. Results This work establishes an accura...

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Main Authors: Feng Tian, Huan Liu, Yingying Gu, Dandan Zhang, Lijun Tang
Format: Article
Language:English
Published: SpringerOpen 2025-07-01
Series:EJNMMI Physics
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Online Access:https://doi.org/10.1186/s40658-025-00781-0
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author Feng Tian
Huan Liu
Yingying Gu
Dandan Zhang
Lijun Tang
author_facet Feng Tian
Huan Liu
Yingying Gu
Dandan Zhang
Lijun Tang
author_sort Feng Tian
collection DOAJ
description Abstract Background The nuclear medicine treatment based on 177Lu-PSMA-617 has achieved excellent therapeutic effects on Prostate cancer (PCa), but there is a lack of three-dimensional dosimetry analysis of organs at risk (OARs) and distant metastatic lesions. Results This work establishes an accurate and personalized three-dimensional dose calculation method based on Monte Carlo simulation and multi-modal images of PCa patients with skull metastasis, and analyzes the three-dimensional dose distribution of metastatic lesions and OARs in the brain. Results show that due to the targeting characteristics of 177Lu-PSMA-617, metastatic brain lesions of all patients can receive high radiation doses with the average dose of 0.05 mGy/MBq, and the dose distribution are relatively uniform with the average homogeneity index of 1.23. In addition, the radiation dose received by most OARs are much lower than that of metastatic lesions, but for parotid glands, the dose deposited are only 3.99 times less than that of metastatic lesions due to the high absorption of 177Lu-PSMA-617. Conclusion Therefore, it is necessary to clarify the three-dimensional dose distribution of OARs and metastatic lesions, so as to optimize the activity injected and achieve the precise killing of metastatic lesions and protection of OARs.
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issn 2197-7364
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spelling doaj-art-625c6e8b3c194729bf90ae49debffb1d2025-08-20T03:45:35ZengSpringerOpenEJNMMI Physics2197-73642025-07-0112111310.1186/s40658-025-00781-0Personalized three-dimensional dose calculation method based on multi-modal images in dosimetry assessment of prostate cancer with skull metastasis: a Monte Carlo simulation studyFeng Tian0Huan Liu1Yingying Gu2Dandan Zhang3Lijun Tang4Department of Nuclear Medicine, Jiangsu Province Hospital, The First Affiliated Hospital with Nanjing Medical UniversityDepartment of Radiotherapy Center, The First Affiliated Hospital of Wenzhou Medical UniversityDepartment of Nuclear Medicine, Jiangsu Province Hospital, The First Affiliated Hospital with Nanjing Medical UniversityDepartment of Nuclear Medicine, Jiangsu Province Hospital, The First Affiliated Hospital with Nanjing Medical UniversityDepartment of Nuclear Medicine, Jiangsu Province Hospital, The First Affiliated Hospital with Nanjing Medical UniversityAbstract Background The nuclear medicine treatment based on 177Lu-PSMA-617 has achieved excellent therapeutic effects on Prostate cancer (PCa), but there is a lack of three-dimensional dosimetry analysis of organs at risk (OARs) and distant metastatic lesions. Results This work establishes an accurate and personalized three-dimensional dose calculation method based on Monte Carlo simulation and multi-modal images of PCa patients with skull metastasis, and analyzes the three-dimensional dose distribution of metastatic lesions and OARs in the brain. Results show that due to the targeting characteristics of 177Lu-PSMA-617, metastatic brain lesions of all patients can receive high radiation doses with the average dose of 0.05 mGy/MBq, and the dose distribution are relatively uniform with the average homogeneity index of 1.23. In addition, the radiation dose received by most OARs are much lower than that of metastatic lesions, but for parotid glands, the dose deposited are only 3.99 times less than that of metastatic lesions due to the high absorption of 177Lu-PSMA-617. Conclusion Therefore, it is necessary to clarify the three-dimensional dose distribution of OARs and metastatic lesions, so as to optimize the activity injected and achieve the precise killing of metastatic lesions and protection of OARs.https://doi.org/10.1186/s40658-025-00781-0Prostate cancerMetastatic lesions177Lu-PSMA-617Monte Carlo simulationMulti-modal imagesThree-dimensional dose
spellingShingle Feng Tian
Huan Liu
Yingying Gu
Dandan Zhang
Lijun Tang
Personalized three-dimensional dose calculation method based on multi-modal images in dosimetry assessment of prostate cancer with skull metastasis: a Monte Carlo simulation study
EJNMMI Physics
Prostate cancer
Metastatic lesions
177Lu-PSMA-617
Monte Carlo simulation
Multi-modal images
Three-dimensional dose
title Personalized three-dimensional dose calculation method based on multi-modal images in dosimetry assessment of prostate cancer with skull metastasis: a Monte Carlo simulation study
title_full Personalized three-dimensional dose calculation method based on multi-modal images in dosimetry assessment of prostate cancer with skull metastasis: a Monte Carlo simulation study
title_fullStr Personalized three-dimensional dose calculation method based on multi-modal images in dosimetry assessment of prostate cancer with skull metastasis: a Monte Carlo simulation study
title_full_unstemmed Personalized three-dimensional dose calculation method based on multi-modal images in dosimetry assessment of prostate cancer with skull metastasis: a Monte Carlo simulation study
title_short Personalized three-dimensional dose calculation method based on multi-modal images in dosimetry assessment of prostate cancer with skull metastasis: a Monte Carlo simulation study
title_sort personalized three dimensional dose calculation method based on multi modal images in dosimetry assessment of prostate cancer with skull metastasis a monte carlo simulation study
topic Prostate cancer
Metastatic lesions
177Lu-PSMA-617
Monte Carlo simulation
Multi-modal images
Three-dimensional dose
url https://doi.org/10.1186/s40658-025-00781-0
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