Searched for: subject%3A%22radiotherapy%22
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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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Jayaram, Sampada (author)
Every year in the Netherlands, approximately 100,000 patients are diagnosed with cancer (https://www.nki.nl/.) . With these numbers on the rise, and a shortage of staffing, there is an increased workload on the existing professionals to work fast, despite the complexity and meticulous nature of radiotherapy planning. There are multiple obstacles...
master thesis 2023
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Spek, Bob (author)
Over 50% of cancer patients will receive radiotherapy treatment at least once. Most patients are receiving photon radiotherapy. In this work very high energy electron (VHEE) radiotherapy is being studied as a potential replacement for photon radiotherapy. VHEE beams have a favorable depth dependence and the penumbra of VHEE pencil beams stays...
master thesis 2023
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Makkinje, Andri (author)
The goal of radiotherapy is to maximize the dose to the target while minimizing the dose to normal tissue. Treatment plans are optimized for this goal and dose delivery is improved in accuracy and precision. The optimization is based on the delineations of the volumes of interest on the medical images of the patient. The problem is that these...
master thesis 2023
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Huele, Iris (author)
Purpose Deep inspiration breath hold (DIBH) in photon therapy as well as proton therapy (in free breathing) has been suggested to reduce cardiopulmonary and integral dose without compromising target coverage. The goal is to investigate the dosimetric impact on proton treatment plans of set-up variation and daily anatomy visualized on CBCT prior...
master thesis 2023
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Tan, Yicong (author), Mody, P. (author), van der Valk, Viktor (author), Staring, M. (author), van Gemert, J.C. (author)
Literature on medical imaging segmentation claims that hybrid UNet models containing both Transformer and convolutional blocks perform better than purely convolutional UNet models. This recently touted success of hybrid Transformers warrants an investigation into which of its components contribute to its performance. Also, previous work has a...
conference paper 2023
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Groenendijk, C.F. (author), Rovituso, M. (author), Lathouwers, D. (author), Brown, J.M.C. (author)
A Geant4 based simulation platform of the Holland Proton Therapy Centre (HollandPTC, Netherlands) R&D beamline (G4HPTC-R&D) was developed to enable the planning, optimisation and advanced dosimetry for radiobiological studies. It implemented a six parameter non-symmetrical Gaussian pencil beam surrogate model to simulate the R&D...
journal article 2023
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van der Valk Bouman, Jim (author)
A fundamental tool in radiotherapy treatment planning is the dose calculation algorithm, which models the dose that will be distributed for given beam parameters and patient geometry. Various available algorithms include Monte Carlo simulations (MC) and pencil beam algorithms (PBA), with the former being computationally expensive but offering...
master thesis 2022
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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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de Groot, Chiel (author)
This thesis investigates the tissue sparing effect of FLASH (>40 Gy/s) radiation, as opposed to CONV (conventional, dose rates typically between 0.01­0.1 Gy/s) radiation. We irradiated zebrafish embryos (4 days past fertilisation) with 116 MeV protons. The aim was (1) to measure the effect, and (2) if the effect were significant, see whether...
master thesis 2022
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Berkhout, Joost (author)
Combining different treatment modalities has proven to improve patient outcome compared to applying single treatments. Consequently, mild hyperthermia (HT) and radiotherapy (RT) are combined to radiosensitize tumour cells by inhibiting DNA damage repair mechanisms. In this study, it was investigated if combining both...
master thesis 2022
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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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Kok, H. P. (author), van Rhoon, G.C. (author), Herrera, T. D. (author), Overgaard, J. (author), Crezee, J. (author)
Biological modeling for anti-cancer treatments using mathematical models can be very supportive in gaining more insight into dynamic processes responsible for cellular response to treatment, and predicting, evaluating and optimizing therapeutic effects of treatment. This review presents an overview of the current status of biological modeling...
review 2022
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Oud, Michelle (author), Breedveld, Sebastiaan (author), Giżyńska, Marta (author), Kroesen, Michiel (author), Hutschemaekers, Stefan (author), Habraken, S.J.M. (author), Petit, Steven (author), Perko, Z. (author), Heijmen, Ben (author), Hoogeman, M.S. (author)
Background and purpose: In intensity modulated proton therapy (IMPT), the impact of setup errors and anatomical changes is commonly mitigated by robust optimization with population-based setup robustness (SR) settings and offline replanning. In this study we propose and evaluate an alternative approach based on daily plan selection from...
journal article 2022
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Mody, Prerak (author), Chaves-de-Plaza, Nicolas F. (author), Hildebrandt, K.A. (author), van Egmond, R. (author), de Ridder, H. (author), Staring, Marius (author)
Deep learning models for organ contouring in radiotherapy are poised for clinical usage, but currently, there exist few tools for automated quality assessment (QA) of the predicted contours. Bayesian models and their associated uncertainty, can potentially automate the process of detecting inaccurate predictions. We investigate two Bayesian...
journal article 2022
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Mody, Prerak (author), Chaves-de-Plaza, Nicolas F. (author), Hildebrandt, K.A. (author), Staring, M. (author)
Bayesian Neural Nets (BNN) are increasingly used for robust organ auto-contouring. Uncertainty heatmaps extracted from BNNs have been shown to correspond to inaccurate regions. To help speed up the mandatory quality assessment (QA) of contours in radiotherapy, these heatmaps could be used as stimuli to direct visual attention of clinicians to...
conference paper 2022
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Tang, Patrick (author)
Patients diagnosed with glioblastoma face poor prognosis, as the median survival from initial diagnosis is less than 15 months. Radiotherapy is considered to be one of the fundamentals of glioblastoma therapy and is given after maximum safe tumour resection or biopsy. Delineation of the gross tumour volume (GTV) and the clinical target volume ...
master thesis 2021
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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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Guichelaar, Jamila (author)
Introduction: Radiation is an effective treatment to increase overall mean survival of patients with metastatic brain tumours, however, damage to healthy tissue is inevitable. Radiation can cause dysfunction of the cerebrovasculature which is hypothesised to induce cognitive decline in patients after radiotherapy (RT). A new method, the...
master thesis 2021
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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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