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ORIGINAL RESEARCH article

Front. Phys.

Sec. Medical Physics and Imaging

Personalized three-dimensional dosimetry of 32P patch brachytherapy for keloids using Monte Carlo simulation

Provisionally accepted
Huan  LiuHuan Liu1*Zhengwei  WenZhengwei Wen1Ling  WangLing Wang1Huanbin  LiHuanbin Li1Feng  TianFeng Tian2*
  • 1First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China
  • 2The First Affiliated Hospital With Nanjing Medical University, Nanjing, China

The final, formatted version of the article will be published soon.

This study aims to explore a three-dimensional dose calculation method for 32P patch brachytherapy in keloids, which simultaneously considers patient-specific heterogeneous tissue compositions and anatomical morphology. A voxelized phantom was created from actual patient CT images and simulated using the Monte Carlo (MC) Geant4 code. The average absorbed dose in keloids was calculated using the proposed voxel-level dose calculation method and the three-dimensional (3D) dose distribution in keloids was obtained and evaluated. Due to variations in keloid morphology and density composition, the dosage parameters differed significantly across cases. The minimum average absorbed dose was 1.62 × 10-4 mGy MBq-1 (case 1), and the maximum average absorbed dose was 9.31 mGy MBq-1 (case 6). Among the 10 cases, the highest Homogeneity Index (HI) value was 326 (case 2), and the lowest HI value was 4.68 (case 10), indicating highly uneven dose distribution within keloids. The results confirm that the voxel-level dose calculation methods proposed in this study enable more accurate and efficient assessment of 32P patch brachytherapy, underscoring the importance of personalized treatment planning to balance efficacy and safety, offering a framework for reducing recurrence risks in keloid brachytherapy.

Keywords: Keloids, 32P patch, Brachytherapy, monte carlo, Dosimetry, personalized medicine

Received: 04 Jul 2025; Accepted: 09 Dec 2025.

Copyright: © 2025 Liu, Wen, Wang, Li and Tian. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence:
Huan Liu
Feng Tian

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