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Adapting Temperature Predictions to MR Imaging in Treatment Position to Improve Simulation-Guided Hyperthermia for Cervical Cancer

Vilasboas-Ribeiro, Iva (author), Sumser, Kemal (author), Nouwens, Sven (author), Feddersen, Theresa (author), Heemels, W. P.M.H. (author), van Rhoon, G.C. (author), Paulides, Margarethus M. (author)

Hyperthermia treatment consists of elevating the temperature of the tumor to increase the effectiveness of radiotherapy and chemotherapy. Hyperthermia treatment planning (HTP) is an important tool to optimize treatment quality using pre-treatment temperature predictions. The accuracy of these predictions depends on modeling uncertainties such...

journal article 2024

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Keeping your best options open with AI-based treatment planning in prostate and cervix brachytherapy

Dickhoff, Leah R.M. (author), Scholman, R.J. (author), Barten, Danique L.J. (author), Kerkhof, Ellen M. (author), Roorda, Jelmen J. (author), Velema, Laura A. (author), Stalpers, Lukas J.A. (author), Pieters, Bradley R. (author), Bosman, P.A.N. (author), Alderliesten, T. (author)

PURPOSE: Without a clear definition of an optimal treatment plan, no optimization model can be perfect. Therefore, instead of automatically finding a single “optimal” plan, finding multiple, yet different near-optimal plans, can be an insightful approach to support radiation oncologists in finding the plan they are looking for. METHODS AND...

review 2024

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A fast and robust constraint-based online re-optimization approach for automated online adaptive intensity modulated proton therapy in head and neck cancer

Oud, Michelle (author), Breedveld, Sebastiaan (author), Rojo-Santiago, Jesús (author), Giżyńska, Marta Krystyna (author), Kroesen, Michiel (author), Habraken, S.J.M. (author), Perko, Z. (author), Heijmen, Ben (author), Hoogeman, M.S. (author)

Objective. In head-and-neck cancer intensity modulated proton therapy, adaptive radiotherapy is currently restricted to offline re-planning, mitigating the effect of slow changes in patient anatomies. Daily online adaptations can potentially improve dosimetry. Here, a new, fully automated online re-optimization strategy is presented. In a...

journal article 2024

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Treatment planning strategies for proton therapy in the presence of a cranial fixation clip

Kuitems, Iris (author)

This thesis outlines the project conducted at HollandPTC for the Master Biomedical Engineering, track Medical Physics, at Delft University of Technology. <br/><br/>Metal implants create dosimetric uncertainties in treatment planning and delivery for proton therapy. The purpose of this thesis was to determine the most suitable treatment planning...

master thesis 2023

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Robust optimization in intensity modulated proton therapy treatment planning

van Zon, Manon (author)

Intensity modulated proton therapy is an advanced radiotherapy technique that is used to treat cancer patients. In order to successfully treat a patient, sufficient dose to the tumor is required. However, during the fractionated treatment, multiple errors can cause a difference between the planned and actual dose delivery. To ensure adequate...

master thesis 2023

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Artificial Intelligence in Radiotherapy: Probabilistic Deep Learning for Dose Prediction and Anatomy Modeling

Pastor Serrano, O. (author)

doctoral thesis 2023

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Optimal Mixing Evolutionary Algorithms for Large-Scale Real-Valued Optimization: Including Real-World Medical Applications

Bouter, P.A. (author)

In recent years, the use of Artificial Intelligence (AI) has become prevalent in a large number of societally relevant, real-world problems, e.g., in the domains of engineering and health care. The field of Evolutionary Computation (EC) can be considered to be a sub-field of AI, concerning optimization using Evolutionary Algorithms (EAs), which...

doctoral thesis 2023

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Using MRI to measure position and anatomy changes and assess their impact on the accuracy of hyperthermia treatment planning for cervical cancer

VilasBoas-Ribeiro, Iva (author), Franckena, Martine (author), van Rhoon, G.C. (author), Hernandez-Tamames, J.A. (author), Paulides, Margarethus M. (author)

Purpose: We studied the differences between planning and treatment position, their impact on the accuracy of hyperthermia treatment planning (HTP) predictions, and the relevance of including true treatment anatomy and position in HTP based on magnetic resonance (MR) images. Materials and methods: All volunteers were scanned with an MR...

journal article 2023

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Robustness analysis of CTV and OAR dose in clinical PBS-PT of neuro-oncological tumors: prescription-dose calibration and inter-patient variation with the Dutch proton robustness evaluation protocol

Rojo-Santiago, Jesús (author), Habraken, S.J.M. (author), Romero, Alejandra Méndez (author), Lathouwers, D. (author), Wang, Yibing (author), Perko, Z. (author), Hoogeman, M.S. (author)

Objective. The Dutch proton robustness evaluation protocol prescribes the dose of the clinical target volume (CTV) to the voxel-wise minimum (VWmin) dose of 28 scenarios. This results in a consistent but conservative near-minimum CTV dose (D98%,CTV). In this study, we analyzed (i) the correlation between VWmin/voxel-wise maximum (VWmax)...

journal article 2023

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Definitive treatment for early-stage breast cancer with FLASH proton therapy: Dosimetric feasibility and optimization with intensity-modulated ridge filtered beams and toxicity-model endpoints

Maasland, Anouk (author)

The aim of this thesis is to study the dosimetric feasibility of FLASH proton therapy for early-stage breast cancer patients. The biological effect of FLASH is seen under ultra-high dose-rates conditions and is beneficial in the damage to healthy tissue. The FLASH effect could enable the clinical feasibility of definitive radiotherapy for low...

master thesis 2022

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Motion and uncertainties management in intensity-modulated proton therapy for cervical cancer

Negenman, Eva (author)

Purpose: Proton therapy has been proposed as an alternative to conventional photon therapy for the treatment of locally advanced cervical cancer (LACC) since these patients experience toxicities. Proton therapy may allow for significant sparing of the organs at risk, reducing the incidence of treatment-related morbidities. The aim of this study...

master thesis 2022

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Physics-Guided Deep Learning for Volumetric-Modulated Arc Therapy Treatment Planning Quality Assurance

van der Hoeven, Thijs (author)

Treatment planning for radiation therapy is a complex process, as there are many machine parameters to determine for a treatment. To decrease the required labour and improve the plan quality, auto-planning systems have been developed, which can automatically generate high-quality treatment plans. These plans still have to be checked to ensure...

master thesis 2022

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A Novel Framework for the Optimization of Simultaneous ThermoBrachyTherapy

Androulakis, Ioannis (author), Mestrom, Rob M.C. (author), Christianen, Miranda E.M.C. (author), Kolkman-Deurloo, Inger Karine K. (author), van Rhoon, G.C. (author)

In high-dose-rate brachytherapy (HDR-BT) for prostate cancer treatment, interstitial hyperthermia (IHT) is applied to sensitize the tumor to the radiation (RT) dose, aiming at a more efficient treatment. Simultaneous application of HDR-BT and IHT is anticipated to provide maximum radiosensitization of the tumor. With this rationale, the...

journal article 2022

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Simultaneous ThermoBrachytherapy: Electromagnetic Simulation Methods for Fast and Accurate Adaptive Treatment Planning

Androulakis, Ioannis (author), Mestrom, Rob M.C. (author), Christianen, Miranda E.M.C. (author), Kolkman‐deurloo, Inger Karine K. (author), van Rhoon, G.C. (author)

The combination of interstitial hyperthermia treatment (IHT) with high dose rate brachytherapy (HDR‐BT) can improve clinical outcomes since it highly enhances the efficiency of cell kill, especially when applied simultaneously. Therefore, we have developed the ThermoBrachy applicators. To effectively apply optimal targeted IHT, treatment...

journal article 2022

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Conceptual probabilistic treatment planning approaches to deal with microscopic disease as an alternative to the Clinical Target Volume

Niekolaas, Sofieke (author)

Radiotherapy is one of the main treatment modalities available to treat cancer. Radiotherapy treatment plans are created based on CT scans of the patient. In such scans the macroscopic tumor is visible, but microscopic disease present in the surrounding tissue cannot be observed. To achieve an optimal clinical outcome, both the macroscopic and...

master thesis 2021

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Treatment planning of intensity modulated proton therapy by using sparsity inducement for spot selection

Mühlsteff, Joris (author)

In intensity modulated proton therapy (IMPT), patients are irradiated with small spots, that deliver a local dose to the tumor. The number of possible spots to choose from is virtually infinite, but practically limited, which requires a spot selection. This spot selection should result in an optimal treatment plan, i.e., to deliver a sufficient...

master thesis 2021

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Clinical implementation of adaptive intensity-modulated proton therapy (aIMPT) for locally advanced cervical cancer (LACC)

Corbeau, Anouk (author)

Each year, more than 800 women in the Netherlands are diagnosed with cervical cancer, of which approximately half have locally advanced disease. The standard treatment for locally advanced cervical cancer (LACC) is external beam radiotherapy (EBRT) with concurrent chemotherapy followed by brachytherapy. Many patients experience some degree of...

master thesis 2021

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A physics guided neural network approach for dose prediction in automated radiation therapy treatment planning

Meerbothe, Thierry (author)

Radiotherapy treatment planning is a complex and time consuming process prone to differences as result of choices of individual planners. Autoplanning systems have been introduced to both reduce the time consumption and to counteract the influence of individual planning choices. Although autoplanning generally increases performance of the...

master thesis 2021

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Accurate assessment of a Dutch practical robustness evaluation protocol in clinical PT with pencil beam scanning for neurological tumors

Rojo-Santiago, Jesús (author), Habraken, S.J.M. (author), Lathouwers, D. (author), Méndez Romero, Alejandra (author), Perko, Z. (author), Hoogeman, M.S. (author)

Background and purpose: Scenario-based robust optimization and evaluation are commonly used in proton therapy (PT) with pencil beam scanning (PBS) to ensure adequate dose to the clinical target volume (CTV). However, a statistically accurate assessment of the clinical application of this approach is lacking. In this study, we assess target...

journal article 2021

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Improving Probabilistic Treatment Planning with Polynomial Chaos Expansion for Proton Therapy

Steinebach, Koen (author)

In proton therapy, robust treatment planning is currently used to account for uncertainties in patient alignment and proton beam range. A way to overcome the limitations of robust treatment planning is to use probabilistic treatment planning, which can be computationally expensive due to the calculations of statistical measures of stochastic...

master thesis 2020