A5035478857- Advanced Radiotherapy Techniques
- Head and Neck Cancer Studies
- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Lung Cancer Diagnosis and Treatment
- Management of metastatic bone disease
- Radiation Dose and Imaging
- Brain Tumor Detection and Classification
- Radiation Therapy and Dosimetry
- Oral health in cancer treatment
- Salivary Gland Tumors Diagnosis and Treatment
- Head and Neck Surgical Oncology
- Effects of Radiation Exposure
- Ear and Head Tumors
- Thyroid Cancer Diagnosis and Treatment
- Medical Imaging and Analysis
- Prostate Cancer Diagnosis and Treatment
- Dysphagia Assessment and Management
- Advances in Oncology and Radiotherapy
- Melanoma and MAPK Pathways
- Historical Medical Research and Treatments
- Ultrasound and Hyperthermia Applications
- Social and Educational Sciences
- Brain Metastases and Treatment
- Cancer survivorship and care
Oslo University Hospital
2016-2025
Hyogo Medical University
2018
Drammen Hospital
2010
Smerteklinikken
2010
Cancer Registry of Norway
2010
Norwegian Cancer Society
2000-2005
University of Oslo
1997-2005
OsloMet – Oslo Metropolitan University
1997
Background Radiomics can provide in-depth characterization of cancers for treatment outcome prediction. Conventional radiomics rely on extraction image features within a pre-defined region interest (ROI) which are typically fed to classification algorithm prediction clinical endpoint. Deep learning allows simpler workflow where images be used directly as input convolutional neural network (CNN) with or without ROI. Purpose The purpose this study was evaluate (i) conventional and (ii) deep...
Target volume delineation is a vital but time-consuming and challenging part of radiotherapy, where the goal to deliver sufficient dose target while reducing risks side effects. For head neck cancer (HNC) this complicated by complex anatomy region proximity volumes organs at risk. The purpose study was compare evaluate conventional PET thresholding methods, six classical machine learning algorithms 2D U-Net convolutional neural network (CNN) for automatic gross tumor (GTV) segmentation HNC...
Identification and delineation of the gross tumour malignant nodal volume (GTV) in medical images are vital radiotherapy. We assessed applicability convolutional neural networks (CNNs) for fully automatic GTV from FDG-PET/CT patients with head neck cancer (HNC). CNN models were compared to manual delineations made by experienced specialists. New structure-based performance metrics introduced enable in-depth assessment auto-delineation multiple structures individual patients.U-Net trained...
Background and purpose: To present the clinical outcomes of two series patients treated with carbon-ion radiotherapy (CIRT) definitive photon (RT) for adenoid cystic carcinoma head neck (HN-ACC). Material methods: The first cohort six was referred from Oslo University Hospital (OUS) to Centro Nazionale di Adroterapia Oncologica (CNAO, Pavia, Italy) CIRT in 2014–2017. second included 18 RT at OUS 2005–2017. primary endpoint an evaluation osteoradionecrosis (ORN) cohorts. secondary endpoints...
There is lack of evidence on chronic fatigue (CF) following radiotherapy (RT) in survivors head and neck cancer (HNC). We aimed to compare CF HNC > 5 years post-RT with a reference population investigate factors associated the possible impact health-related quality life (HRQoL).
Although dysphagia is a common side effect after radiotherapy (RT) of head and neck cancer (HNC), data on long-term scarce. We aimed to 1) compare radiation dose parameters in HNC survivors with without dysphagia, 2) investigate factors associated its possible impact health-related quality life (HRQoL), 3) how our agree existing NTCP models.
Background. Dose painting by numbers (DPBN) is a method to deliver an inhomogeneous tumor dose voxel-by-voxel with prescription based on biological medical images. However, planning of DPBN not supported commercial treatment systems (TPS) today. Here, straightforward for standard TPS presented.Material and methods. maps were generated from 18F-FDG-PET images applying linear relationship between image voxel value dose. An inverted map was created imported into where it defined as mock...
To evaluate the patterns of loco-regional recurrences in head and neck cancer patients Twenty-six out 112 treated with primary or postoperative 3D CRT IMRT for their recurrent disease between 2007 2013 were included. The CT images rigidly registered each patient. assess overlaps overlap localization, recurrence volume overlapping target was identified. For relapses occurring regional lymph nodes, epicenter distance volumes dose also defined as in-field, marginal out-of-field. majority...
An automatic segmentation algorithm for delineation of the gross tumour volume and pathologic lymph nodes head neck cancers in PET/CT images is described. The proposed based on a convolutional neural network using U-Net architecture. Several model hyperparameters were explored performance terms Dice similarity coefficient was validated from 15 patients. A separate test set consisting 40 patients used to assess generalisability algorithm. showed close-to-oncologist level delineations as...
Background: For patients with recurrent or second primary disease, re-irradiation can be challenging due to overlap previously irradiated volumes. Dose painting may attractive for these patients, as the focus is on delivering maximal dose areas of high tumor activity. Here, we compare by contours (DPBC) treatment plans based 18F-fluorodeoxyglucose (FDG) positron emission tomography (PET) conventional plans.Material and methods: We included 10 head neck cancer (HNC) eligible re-irradiation....
Radiotherapy (RT) is increasingly being used on dogs with spontaneous head and neck cancer (HNC), which account for a large percentage of veterinary patients treated RT. Accurate definition the gross tumor volume (GTV) vital part RT planning, ensuring adequate dose coverage while limiting radiation to surrounding tissues. Currently GTV contoured manually in medical images, time-consuming challenging task. The purpose this study was evaluate applicability deep learning-based automatic...
Late chronic side effects of the rectum constitute one principal limiting factors for curative radiation therapy in patients with prostate cancer. The purpose study was to determine impact immediate androgen deprivation (IAD) prior conformal radiotherapy on rectal volume exposed high doses, as compared a deferred treatment strategy (DAD). Twenty-five (13 IAD group and 12 DAD group) bulky tumours prostate, T3pN1-2M0 from prospective EORTC trial 30846 were analysed. Three-dimensional plans...
Abstract Purpose Head and neck cancer (HNC) treatment may lead to late effects impaired health-related quality of life survivors. Knowledge on long-term after radiotherapy (RT) potential underlying biological mechanisms is lacking. We assessed the prevalence xerostomia, dysphagia, chronic fatigue (CF) in HNC survivors ≥ 5 years post-RT, examined associations between pro-inflammatory cytokines effects. Methods In a cross-sectional study, 263 treated 2007 2013 were enrolled. They completed...
Hypoxia dose painting is a radiotherapy technique to increase the hypoxic regions of tumour. Still, clinical effect relies on reproducibility region shown in medical image. 18F-EF5 hypoxia tracer for positron emission tomography (PET), and this study investigated repeatability 18F-EF5-based by numbers (DPBN) head neck cancer (HNC).Eight HNC patients undergoing two 18F-EF5-PET/CT sessions (A B) before were included. A linear conversion PET signal intensity prescription was employed DPBN...
Reporting of the clinical relevant dose to organs at risk (OR) and other normal tissues is crucial in trials protocols where aim assess late complications increase therapeutic ratio for external beam radiotherapy. The distribution ORs are, however, most often heterogeneous, least when more than two opposing beams are applied. To decide with respect occurring therefore not a straight forward problem. In this work we discuss what parameters characterise dose-volume-histogram (DVH) best by...
The beneficial effects of protons are primarily based on reduction low to intermediate radiation dose bath normal tissue surrounding the radiotherapy target volume. Despite promise for reduced long-term toxicity, percentage cancer patients treated with proton therapy remains low. This is probably caused by technical improvements in planning and delivery photon therapy, high cost, availability lack high-level evidence therapy. A number treatment facilities under construction or have recently...
In radiotherapy planning systems, delineation of hollow normal tissue organs, such as the bladder, is time-consuming. Automated may presuppose two assumptions: (1) bladder resembles a spherical shell and (2) volume preserved regardless urine (luminal volume) inside. The purpose present study was to test these assumptions. 22 CT scans from 7 patients were studied retrospectively. Transverse cross-sectional areas enclosed by outer contour (A(out)) inner (A(in)) recorded images. Hence,...
Optimization of radiotherapy treatment plans based on dose–volume histograms relies accurate organ delineation. Hollow organs, such as the rectum, are difficult and time-consuming to delineate owing unclear visualization border between wall tissue filling. Automated hollow delineation would be a valuable tool, but its development depends upon improved understanding dynamics rectum in response Two reasonable assumptions proposed literature that (1) rectal along constant length cylinder is...