Geant4 simulation of the enhanced in-vivo 220Rn spread in DaRT Article Swipe

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Laura Ballisat , Chiara De Sio , Susanna Guatelli , D. Sakata , Lujin Abu Sabah , Jinyan Duan , Yuyao Shi , J. J. Velthuis , Anatoly Rosenfeld ·

YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.1016/j.ejmp.2025.105005

The increase DSB induction distally from the DaRT seed has the potential to increase treatment efficacy. However, this additional spread cannot easily be predicted. Understanding this uncertainty is important for the dose calculations in treatment planning for tumours and normal tissues.

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Dart In vivo Computer science Biology Programming language Biotechnology

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Type: article
Language: en
Landing Page: https://doi.org/10.1016/j.ejmp.2025.105005
PDF: https://www.physicamedica.com/action/showPdf?pii=S1120179725001152
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Title: Geant4 simulation of the enhanced in-vivo 220Rn spread in DaRT

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Publication year: 2025

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Authors: Laura Ballisat, Chiara De Sio, Susanna Guatelli, D. Sakata, Lujin Abu Sabah, Jinyan Duan, Yuyao Shi, J. J. Velthuis, Anatoly Rosenfeld

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Landing page: https://doi.org/10.1016/j.ejmp.2025.105005

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Concepts: Dart, In vivo, Computer science, Biology, Programming language, Biotechnology

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