A5043918952- Radiomics and Machine Learning in Medical Imaging
- MRI in cancer diagnosis
- Advanced Radiotherapy Techniques
- Medical Imaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Head and Neck Cancer Studies
- Brain Metastases and Treatment
- Glioma Diagnosis and Treatment
- Advanced Neuroimaging Techniques and Applications
- Colorectal Cancer Surgical Treatments
- Breast Cancer Treatment Studies
- Lung Cancer Diagnosis and Treatment
- Radiation Therapy and Dosimetry
- Bone and Joint Diseases
- Management of metastatic bone disease
- Prostate Cancer Diagnosis and Treatment
- Esophageal Cancer Research and Treatment
- Breast Lesions and Carcinomas
- Traumatic Brain Injury and Neurovascular Disturbances
- Salivary Gland Tumors Diagnosis and Treatment
- Radiopharmaceutical Chemistry and Applications
- Cancer-related cognitive impairment studies
- Advanced X-ray and CT Imaging
- Cancer, Hypoxia, and Metabolism
- DNA Repair Mechanisms
University Medical Center Utrecht
2016-2025
Heidelberg University
2010-2025
University Hospital Heidelberg
2010-2025
Utrecht University
2013-2024
University Medical Center
2004-2021
Klinikum rechts der Isar
2019
Technical University of Munich
2019
Princess Margaret Cancer Centre
2017
Facial Plastics Surgery Associates
2017
St. Antonius Ziekenhuis
2015
The integration of 1.5 T MRI functionality with a radiotherapy linear accelerator (linac) has been pursued since 1999 by the UMC Utrecht in close collaboration Elekta and Philips. idea behind this integrated device is to offer unrivalled, online real-time, soft-tissue visualization tumour surroundings for more precise radiation delivery. proof concept was given 2009 demonstrating simultaneous irradiation MR imaging on phantoms, then further developed commercialized Elekta. aim work...
In the human, contribution of sexes to genetic load is dissimilar. Especially for point mutations, expanded simple tandem repeats and structural chromosome male germline dominant. Far less known about germ cell stage(s) that are most vulnerable mutation contraction. For understanding de novo induction in germline, mechanistic insight DNA repair zygote mandatory. At onset embryonic development, parental chromatin sets occupy one pronucleus (PN) each can be regarded as a maternal trait,...
Magnetic Resonance linear accelerator (MR-linac) systems represent a new type of technology that allows for online MR-guidance high precision radiotherapy (RT). Currently, the first MR-linac installations are being introduced clinically. Since imaging performance these integrated is critical their application, thorough commissioning MRI essential. However, guidelines on MR-guided RT not yet defined and data MR-linacs available.Here we describe comprehensive protocol, which contains standard...
To investigate the relationship between histologic characteristics of head and neck squamous cell carcinoma apparent diffusion coefficient (ADC) at diffusion-weighted magnetic resonance (MR) imaging.The institutional ethics committee approved this study waived informed consent. In carcinoma, local failure after chemotherapy and/or radiation therapy correlates with pretreatment ADC. However, histopathologic basis correlation remains unclear. study, 16 patients were enrolled (median age, 60...
Online adaptive radiotherapy using the 1.5 Tesla MR-linac is feasible for SBRT (5 × 7 Gy) of pelvic lymph node oligometastases. The workflow allows full online planning based on daily anatomy. Session duration less than 60 min. Quality assurance tests, including independent 3D dose calculations and film measurements were passed.
To develop and evaluate a patch-based convolutional neural network (CNN) to generate synthetic computed tomography (sCT) images for magnetic resonance (MR)-only workflow radiotherapy of head neck tumors. A deep learning method was chosen improve robustness abnormal anatomies caused by large tumors, surgical excisions, or dental artifacts. In this study, we whether the generated sCT enable accurate MR-based dose calculations in region.We conducted retrospective study on 34 patients with...
To enable accurate magnetic resonance imaging (MRI)-based dose calculations, synthetic computed tomography (sCT) images need to be generated. We aim at assessing the feasibility of calculations from MRI acquired with a heterogeneous set protocol for paediatric patients affected by brain tumours.Sixty undergoing radiotherapy were included. MR protocols varied among patients, and data heterogeneity was maintained in train/validation/test sets. Three 2D conditional generative adversarial...
Background Patient selection for organ sparing treatment after good response to neo‐adjuvant chemoradiation (CRT) locally advanced rectal cancer is challenging as no optimal restaging modality available CRT. In this study, we assessed the value of dynamic contrast enhanced magnetic resonance imaging (DCE‐MRI) pathological prediction. Methods 51 patients with cancer, tumor volume and transfer constant (Ktrans) were obtained at 3 Tesla before CRT surgery. The predictive potential complete...
PurposeThis prospective study is, to our knowledge, the first report of daily adaptive radiation therapy (ART) for head and neck cancer (HNC) using a 1.5T magnetic resonance imaging-linear accelerator (MR-linac) with particular focus on safety feasibility dosimetric results an online rigid registration-based adapt position (ATP) workflow.Methods MaterialsTen patients HNC received ART 1.5T/7MV MR-linac, 6 ATP only 4 1 offline adapt-to-shape replan. Setup variability custom immobilization...
Introduction Diffusion-weighted imaging (DWI) on MRI-linear accelerator (MR-linac) systems can potentially be used for monitoring treatment response and adaptive radiotherapy in head neck cancers (HNC) but requires extensive validation. We performed technical validation to compare six total DWI sequences an MR-linac MR simulator (MR sim) patients, volunteers, phantoms. Methods Ten human papillomavirus-positive oropharyngeal cancer patients ten healthy volunteers underwent a 1.5T with three...