Validation of Dosie combined Monte Carlo and photokinetic simulations for the analysis of HPPH-mediated photodynamic therapy on mice

Beeson, Karl W.; Parilov, Evgueni; Potasek, M. J.

doi:10.1117/12.2510686

Cited by 2 publications

(6 citation statements)

References 25 publications

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“…The number of such voxels should be on the order of 𝑛𝑛 𝑥𝑥 × 𝑛𝑛 𝑦𝑦 which makes it possible to fit all the cavity weights (for approximately 𝑛𝑛 𝑥𝑥 × 𝑛𝑛 𝑦𝑦 × 𝑀𝑀 voxels) in the CUDA global memory. We also plan to extend Simphotek's PK-Module 24,25 of Dosie™ to enable photokinetics calculations in the presence of a moving light source -it is required for a currently developed treatment planning PEDSy device 49,57,58 based on PDT-dose 47 and singlet oxygen dose. 46 Photokinetics calculations require fluence rate maps as the input.…”

Section: Discussionmentioning

confidence: 99%

“…In the original implementation of GPU voxel-based Monte Carlo (MC) light transport simulation 24,25 (CUDA MC-Module of Dosie™ from Simphotek, Inc.) the supported light sources are static -their locations and the emission profiles are fixed.…”

Section: Methods Monte Carlo For Moving Point Light Sourcementioning

confidence: 99%

“…The software that includes the new moving-light MC CUDA implementation of Dosie TM (PEDSy-MC module), integrated with Photokinetics calculations to estimate PDT dose for the entire cavity, is being developed at Simphotek. In the original static-light MC CUDA implementation, 24,25 the photon packets are equally distributed among all the available CUDA threads. In PEDSy-MC, the photon packets that are launched at the same location are grouped and each CUDA thread may receive one or more groups to run MC simulation as described above.…”

Section: 𝑚𝑚 𝑖𝑖=1mentioning

confidence: 99%

“…This allows the use of massively-parallel GPU processors to quickly track thousands of photon packets simultaneously. The current GPU adaptations of MC provide different levels of complexity in defining anatomic structures starting with simple semi-infinite 20 and layered 21 geometries and continuing with more versatile but less accurate voxel-based [21][22][23][24][25] geometries and more accurate but less straightforward in implementation boundary-based geometries, where different types of tissues are defined by surfaces 26 or tetrahedral meshes. 27,28 A variety of different types of light sources are supported in these MC implementations: a collimated beam, 11,12,18,[21][22][23]27 an isotropic point light source 13,15,18,22,26,27,[29][30][31] , a Pencil shaped 15,17,18,[21][22][23][26][27][28][29][30][31] , a line (like a fiber) 16,20,27,31,32 , and a plane 31,…”

Section: Introductionmentioning

confidence: 99%

“…The unique feature of Dosie is that Dosie-MC is integrated with Photokinetics calculations that allow calculating non-conventional dose metrics such as PDT-dose and singlet oxygen dose. 24,25 All the main types of static-light sources are supported by Dosie-MC. In this work, we present a method to enable moving-light sources within the current Dosie-MC framework and describe how its implementation was validated against the analytic approximation and real-size Phantom measurements performed at Perlman School of Medicine (PSM).…”

Section: Introductionmentioning

confidence: 99%

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A Monte Carlo simulation for moving light source in intracavity PDT

Parilov

Beeson²,

Potasek³

et al. 2023

Optical Methods for Tumor Treatment and Detection: Mechanisms and Techniques in Photodynamic Therapy XXXI

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We developed a simulation method for modeling the light fluence delivery in intracavity Photodynamic Therapy (icav-PDT) for pleural lung cancer using a moving light source. Due to the large surface area of the pleural lung cavity, the light source needs to be moved to deliver a uniform dose around the entire cavity. While multiple fixed detectors are used for dosimetry at a few locations, an accurate simulation of light fluence and fluence rate is still needed for the rest of the cavity. We extended an existing Monte Carlo (MC) based light propagation solver to support moving light sources by densely sampling the continuous light source trajectory and assigning the proper number of photon packages launched along the way. The performance of Simphotek GPU CUDA-based implementation of the method – PEDSy-MC – has been demonstrated on a life-size lung-shaped phantom, custom printed for testing icav-PDT navigation system at the Perlman School of Medicine (PSM) – calculations completed under a minute (for some cases) and within minutes have been achieved. We demonstrate results within a 5% error of the analytic solution for multiple detectors in the phantom. PEDSy-MC is accompanied by a dose-cavity visualization tool that allows real-time inspection of dose values of the treated cavity in 2D and 3D, which will be expanded to ongoing clinical trials at PSM. PSM has developed a technology to measure 8-detectors in a pleural cavity phantom using Photofrin-mediated PDT that has been used during validation.

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Section: Discussionmentioning

confidence: 99%

Section: Methods Monte Carlo For Moving Point Light Sourcementioning

confidence: 99%

Section: 𝑚𝑚 𝑖𝑖=1mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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A Monte Carlo simulation for moving light source in intracavity PDT

Parilov

Beeson²,

Potasek³

et al. 2023

Optical Methods for Tumor Treatment and Detection: Mechanisms and Techniques in Photodynamic Therapy XXXI

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Computational Optimization of Irradiance and Fluence for Interstitial Photodynamic Therapy Treatment of Patients with Malignant Central Airway Obstruction

Oakley

Parilov

Beeson

et al. 2023

Cancers

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There are no effective treatments for patients with extrinsic malignant central airway obstruction (MCAO). In a recent clinical study, we demonstrated that interstitial photodynamic therapy (I-PDT) is a safe and potentially effective treatment for patients with extrinsic MCAO. In previous preclinical studies, we reported that a minimum light irradiance and fluence should be maintained within a significant volume of the target tumor to obtain an effective PDT response. In this paper, we present a computational approach to personalized treatment planning of light delivery in I-PDT that simultaneously optimizes the delivered irradiance and fluence using finite element method (FEM) solvers of either Comsol Multiphysics® or Dosie™ for light propagation. The FEM simulations were validated with light dosimetry measurements in a solid phantom with tissue-like optical properties. The agreement between the treatment plans generated by two FEMs was tested using typical imaging data from four patients with extrinsic MCAO treated with I-PDT. The concordance correlation coefficient (CCC) and its 95% confidence interval (95% CI) were used to test the agreement between the simulation results and measurements, and between the two FEMs treatment plans. Dosie with CCC = 0.994 (95% CI, 0.953–0.996) and Comsol with CCC = 0.999 (95% CI, 0.985–0.999) showed excellent agreement with light measurements in the phantom. The CCC analysis showed very good agreement between Comsol and Dosie treatment plans for irradiance (95% CI, CCC: 0.996–0.999) and fluence (95% CI, CCC: 0.916–0.987) in using patients’ data. In previous preclinical work, we demonstrated that effective I-PDT is associated with a computed light dose of ≥45 J/cm2 when the irradiance is ≥8.6 mW/cm2 (i.e., the effective rate-based light dose). In this paper, we show how to use Comsol and Dosie packages to optimize rate-based light dose, and we present Dosie’s newly developed domination sub-maps method to improve the planning of the delivery of the effective rate-based light dose. We conclude that image-based treatment planning using Comsol or Dosie FEM-solvers is a valid approach to guide the light dosimetry in I-PDT of patients with MCAO.

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Validation of Dosie combined Monte Carlo and photokinetic simulations for the analysis of HPPH-mediated photodynamic therapy on mice

Cited by 2 publications

References 25 publications

A Monte Carlo simulation for moving light source in intracavity PDT

A Monte Carlo simulation for moving light source in intracavity PDT

Computational Optimization of Irradiance and Fluence for Interstitial Photodynamic Therapy Treatment of Patients with Malignant Central Airway Obstruction

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