Treatment Plan Robustness Under iPDT Source Position Uncertainty

Clinical iPDT operations cannot guarantee perfect dose delivery due to unavoidable uncertainties in both the power emitted precise position of a source. We use software tools to simulate and analyze the impact of uncertainties under angular variated insertions. Evaluate angular variation of each light source in 8 directions. Simulations are run on Colin27 brain models with nine virtual brain tumours constructed from GBM images from the cancer imaging archive. Analyze the volume of 100% dose for grey, white matters and tumour using a random combination of deviated directions for each light source for each model. The final result is on average less desirable than the nominal due to uncertainty in positions. The next steps for this work is to summarize a pattern for each tumour model and to find a way of improving the PDT-SPACE optimization algorithm that is more robust to position uncertainty.

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Publication Details

Journal
Photodiagnosis and Photodynamic Therapy
Published
2025-11-01
DOI
https://doi.org/10.1016/j.pdpdt.2025.104973
Primary Topic
Advanced Radiotherapy Techniques
Type
article
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article

Treatment Plan Robustness Under iPDT Source Position Uncertainty

Shuran Wang, Lothar Lilge, Vaughn Betz, Tina Saeidi
Photodiagnosis and Photodynamic Therapy
Advanced Radiotherapy Techniques
article

Treatment Plan Robustness Under iPDT Source Position Uncertainty

Shuran Wang, Lothar Lilge, Vaughn Betz, Tina Saeidi
article en

Abstract

Clinical iPDT operations cannot guarantee perfect dose delivery due to unavoidable uncertainties in both the power emitted precise position of a source. We use software tools to simulate and analyze the impact of uncertainties under angular variated insertions. Evaluate angular variation of each light source in 8 directions. Simulations are run on Colin27 brain models with nine virtual brain tumours constructed from GBM images from the cancer imaging archive. Analyze the volume of 100% dose for grey, white matters and tumour using a random combination of deviated directions for each light source for each model. The final result is on average less desirable than the nominal due to uncertainty in positions. The next steps for this work is to summarize a pattern for each tumour model and to find a way of improving the PDT-SPACE optimization algorithm that is more robust to position uncertainty.

Photodiagnosis and Photodynamic TherapyVol. 56
University of Toronto (CA)
Openalex Percentile: Top 56%
Advanced Radiotherapy Techniques
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Treatment Plan Robustness Under iPDT Source Position Uncertainty — Shuran Wang, Lothar Lilge, et al. · Photodiagnosis and Photodynamic Therapy (2025) | TGRS Research Map | TGRS