Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5031848 | IRBM | 2017 | 8 Pages |
â¢Photodynamic therapies are promising solutions for treatment of glioblastoma.â¢A proof of concept for planning stereotactic interstitial photodynamic therapy is described.â¢Algorithms of light transport modeling are compared.â¢Optical fiber needed to transport light into the tumor core can be planned with an error below 1 mm.
Purpose. Glioblastoma (GBM) treatment still remains a complex challenge. Among alternatives or adjuvant therapies, photodynamic therapy (5-ALA PDT) appears to be a promising approach. 5-ALA PDT can be delivered intraoperatively, early after tumor resection, or interstitially according to brain tumor location. A treatment planning system was designed to manage dosimetry issues before PDT delivery.Methods. The TPS was developed according to a specific workflow from stereotactic image registration to light fluence rate modeling. Here, we describe a proof of concept of a treatment planning system (TPS) dedicated to interstitial 5-ALA PDT. This tool enables the planning of a whole treatment in surgical stereotactic conditions. Stereotactic registration and dosimetry components are detailed and evaluated. The registration process is compared to a commercial solution (Leksell Gamma Plan®, Elekta®, Sweden) defined as the ground truth and dosimetry model implemented in our TPS and is compared to numerical simulations.Results. Registration achieved a sub-millimetric mean relative error that matched the standard MRI resolution. Dosimetry comparison showed a negligible error between analytical and numerical models and enabled a validation of the dosimetry algorithm implemented.Conclusions. A treatment planning system was designed to achieve 5-ALA PDT simulations before the patients underwent surgery. Similarly, for radiation therapy, we proposed a system to plan and evaluate the 5-ALA PDT dosimetry for optimizing treatment delivery. Although this system remains to be perfected, this preliminary work aimed to demonstrate the feasibility of planning 5-ALA PDT treatments in stereotactic conditions. Future improvements will mainly focus on the optimization of the treatment delivery, automatic segmentation and GPU-accelerated Monte-Carlo management to take into account GBM tissue heterogeneity.
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