A5027012956- Advanced Radiotherapy Techniques
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Radiation Therapy and Dosimetry
- Prostate Cancer Diagnosis and Treatment
- Breast Cancer Treatment Studies
- Colorectal Cancer Surgical Treatments
- Advanced X-ray and CT Imaging
- Lung Cancer Diagnosis and Treatment
- Advanced MRI Techniques and Applications
- Radiation Dose and Imaging
- Head and Neck Cancer Studies
- Advances in Oncology and Radiotherapy
- Prostate Cancer Treatment and Research
- Hepatocellular Carcinoma Treatment and Prognosis
- Medical Imaging and Analysis
- Head and Neck Surgical Oncology
- Manufacturing Process and Optimization
- Palliative Care and End-of-Life Issues
- Particle Accelerators and Free-Electron Lasers
- Statistical Methods in Clinical Trials
- MRI in cancer diagnosis
- Ethics in Clinical Research
- Chemotherapy-induced cardiotoxicity and mitigation
- Artificial Intelligence in Healthcare and Education
The Netherlands Cancer Institute
2014-2024
Universitair Ziekenhuis Brussel
2020
Vrije Universiteit Brussel
2020
Erasmus MC Cancer Institute
2018
Radboud University Nijmegen
2018
University Medical Center Utrecht
2013
Background and purposeAccess to healthcare data is indispensable for scientific progress innovation. Sharing time-consuming notoriously difficult due privacy regulatory concerns. The Personal Health Train (PHT) provides a privacy-by-design infrastructure connecting FAIR (Findable, Accessible, Interoperable, Reusable) sources allows distributed analysis machine learning. Patient never leaves institute.Materials methodsLung cancer patient-specific databases (tumor staging post-treatment...
To determine PTV margins for intrafraction motion in MRI-guided online adaptive radiotherapy rectal cancer and the potential benefit of performing a 2nd adaptation prior to irradiation.Thirty patients with received on 1.5 T MR-Linac. On T2-weighted images (MRIadapt), verification (MRIver) after irradiation (MRIpost) 5 treatment fractions per patient, primary tumor GTV (GTVprim) mesorectum CTV (CTVmeso) were delineated. The structures MRIadapt expanded corresponding PTVs. We determined...
The purpose of this study was to characterize the motion and define required treatment margins pathological mesorectal lymph nodes (GTVln) for two online adaptive MRI-guided strategies sequential boosting. Secondly, we determine primary gross tumor volume (GTVprim). Twenty-eight patients treated on a 1.5T MR-Linac were included in study. On T2-weighted images adaptation (MRIadapt) before verification after irradiation (MRIpost) five fractions per patient, GTVln GTVprim delineated. With...
We present a method to implement probabilistic treatment planning of intensity-modulated radiation therapy using custom software plugins in commercial system. Our avoids the definition safety-margins by directly including effect geometrical uncertainties during optimization when objective functions are evaluated. Because shape resulting dose distribution implicitly defines robustness plan, optimizer has much more flexibility than with margin-based approach. expect that this added helps...
Stereotactic Body Radiation Therapy (SBRT) is a treatment option for patients with liver metastases. This study evaluated the impact of high versus low dose image-guided SBRT hepatic
To quantify the difference in accuracy of adapt-to-position (ATP), adapt-to-rotation (ATR) and adapt-to-shape (ATS) workflows used MRI-guided online adaptive radiotherapy for prostate carcinoma (PCa) by evaluating margins required to accommodate intra-fraction motion clinical target volumes (CTVpros), including seminal vesicles (CTVpros + sv) gross tumor volume (GTV).Clinical delineations CTVpros, CTVpros sv GTV 24 patients with intermediate- high-risk PCa, treated using ATS on a 1.5 T...
Background & purposeClinical introduction of magnetic resonance (MR)-guided radiotherapy involves treatment planning while taking into account machine-specific characteristics. Our aim was to investigate the feasibility high-quality MR-linac for an and benchmark plan quality (IMRT) against current clinical practice (VMAT).Materials methodsData eight rectal prostate cancer patients, who received on a conventional CBCT-integrated linac, were selected. Clinically acquired CTs associated...
Background and purpose: In this study we developed a workflow for fully-automated generation of deliverable IMRT plans 1.5 T MR-Linac (MRL) based on contoured CT scans, evaluated automated MRL planning rectal cancer.Methods: The Monte Carlo dose calculation engine used in the clinical TPS (Monaco, Elekta AB, Stockholm, Sweden), suited high accuracy calculations magnetic field, was coupled to our in-house Erasmus-iCycle optimizer. Clinically 23 cancer patients were automatically generated...
Automatic approaches are widely implemented to automate dose optimization in radiotherapy treatment planning. This study systematically investigates how configure automatic planning order create the best possible plans.Automatic plans were generated using protocol based iterative optimization. Starting from a simple automation which consisted of constraints for targets and organs at risk (OAR), performance approach was evaluated terms target coverage, OAR sparing, conformity, beam...
Organ preservation is associated with superior functional outcome and quality of life (QoL) compared total mesorectal excision (TME) for rectal cancer. Only 10% patients are eligible organ following short-course radiotherapy (SCRT, 25 Gy in five fractions) a prolonged interval (4-8 weeks) to response evaluation. The rate could potentially be increased by dose-escalated radiotherapy. Online adaptive magnetic resonance-guided (MRgRT) anticipated reduce radiation-induced toxicity enable dose...
Abstract Radiation therapy is a localized cancer treatment that relies on precise delineation of the target to be treated and healthy tissues guarantee optimal effect. This step, known as contouring or segmentation, involves identifying both volumes organs at risk imaging modalities like CT, PET, MRI guide radiation delivery. Manual however, time-consuming highly subjective, despite presence guidelines. In recent years, automated segmentation methods, particularly deep learning models, have...
The treatment of oligometastatic disease using MR guidance is an evolving field. Since August 2018 patients are treated on a 1.5 Tesla MR-Linac (MRL). We present current workflows and practice standards from seven institutions for the initial lymph node liver metastases.