A5081311927- Radiomics and Machine Learning in Medical Imaging
- Medical Imaging Techniques and Applications
- Advanced Radiotherapy Techniques
- MRI in cancer diagnosis
- Cancer, Hypoxia, and Metabolism
- Radiation Therapy and Dosimetry
- Radiation Effects and Dosimetry
- Head and Neck Cancer Studies
- Luminescence Properties of Advanced Materials
- Colorectal and Anal Carcinomas
- Effects of Radiation Exposure
- Radiation Detection and Scintillator Technologies
- Nuclear Physics and Applications
- Advanced MRI Techniques and Applications
- Lung Cancer Diagnosis and Treatment
- Endometrial and Cervical Cancer Treatments
- Oral health in cancer treatment
- Sarcoma Diagnosis and Treatment
- Radiopharmaceutical Chemistry and Applications
- Breast Cancer Treatment Studies
- Salivary Gland Disorders and Functions
- Cancer Immunotherapy and Biomarkers
- interferon and immune responses
- Management of metastatic bone disease
- Advanced X-ray and CT Imaging
University of Oslo
2015-2024
Oslo University Hospital
2015-2024
Aarhus University Hospital
2023
Cancer Clinic
2023
Cancer Institute (WIA)
2022
The Netherlands Cancer Institute
2018
Medical University of Vienna
2016
Norwegian Cancer Society
2000-2012
Norwegian Computing Center
2012
Institute for Medical Informatics and Biostatistics
2012
Knowledge of the molecular background functional magnetic resonance (MR) images is required to fully exploit their potential in cancer management. We explored prognostic impact dynamic contrast-enhanced MR imaging (DCE-MRI) parameters cervical combined with global gene expression data reveal underlying phenotype and construct a representative signature for relevant parameter. On basis 78 patients subjected curative chemoradiotherapy, we identified DCE-MRI parameter A(Brix) by pharmacokinetic...
Dynamic contrast enhanced MRI (DCE-MRI) provides insight into the vascular properties of tissue. Pharmacokinetic models may be fitted to DCE-MRI uptake patterns, enabling biologically relevant interpretations. The aim our study was determine whether treatment outcome for 81 patients with locally advanced cervical cancer could predicted from parameters Brix pharmacokinetic model derived pre-chemoradiotherapy DCE-MRI. First-order statistical features were used. In addition, texture analysis...
To explore the relationship between radiotherapy (RT) dose levels in arm/shoulder region and morbidity breast cancer patients.This study included 183 patients who had received locoregional RT with or without chemotherapy and/or hormone treatment during period 1998-2002. Individual level, reflected by dose-volume histograms (DVHs), for shoulder joint joining structures were obtained from archived CT-based plans. median, mean maximum extracted. Arm/shoulder was assessed 29-58 months after...
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...
Tumour hypoxia is a known cause of clinical resistance to radiation therapy. The purpose this work was model the effects on tumour control probability (TCP) selectively boosting dose hypoxic regions in tumour, while keeping mean constant. A with continuous oxygen distribution, incorporating pO2 histograms published for head and neck patients, developed. Temporal spatial variations non-uniform cell density proliferation during treatment were included modelling. Non-uniform prescriptions made...
A 31-gene expression signature reflected in dynamic contrast enhanced (DCE)-MR images and correlated with hypoxia-related aggressiveness cervical cancer was identified previous work. We here aimed to construct a dichotomous classifier key genes predefined classification threshold that separated patients into more less hypoxic group different outcome chemoradiotherapy.A training cohort of 42 two independent cohorts 108 131 were included. Gene data generated from tumor biopsies by Illumina...
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...
Radiation-induced free radical formation in the amino acid l-α-alanine has been studied using powder and single-crystal X-, K-, Q-band electron paramagnetic resonance (EPR) spectroscopy, X-band electron−nuclear double (ENDOR), thermal annealing, EPR spectrum simulations. The spectra obtained after room temperature irradiations are composite, consisting of resonances from mainly three radicals denoted R1, R2, R3. R1 is well-known, stable room-temperature species formed by deamination a...
In the current work, concepts of biologically adapted radiotherapy hypoxic tumours in a framework encompassing functional tumour imaging, control predictions, inverse treatment planning and intensity modulated (IMRT) were presented. Dynamic contrast enhanced magnetic resonance imaging (DCEMRI) spontaneous sarcoma nasal region dog was employed. The tracer concentration assumed related to oxygen tension compared Eppendorf histograph measurements. Based on pO2-related images derived from MR...
Background: Solid tumors are known to be spatially heterogeneous. Detection of treatment-resistant tumor regions can improve clinical outcome, by enabling implementation strategies targeting such regions. In this study, K-means clustering was used group voxels in dynamic contrast enhanced magnetic resonance images (DCE-MRI) cervical cancers. The aim identify clusters reflecting treatment resistance that could for targeted radiotherapy with a dose-painting approach.Material and methods:...
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...
Purpose To perform a systematic investigation of the energy dependence alanine and lilthium formate EPR dosimeters for medium x rays. Methods Lithium were exposed to eight different x‐ray beam qualities, with nominal potentials ranging from 50 200 kV. Following ionometry based on standards absorbed dose water, given two doses approximately 3 6 Gy each radiation quality, three dose. A reference series was also irradiated levels at unit. The water response, that is, dosimeter reading per...
Dose painting is a concept that may increase the tumor control probability (TCP). In particle therapy of hypoxic tumors, it also be beneficial to redistribute linear energy transfer (LET) so oxygen effect minimized; so-called LET painting. The purpose present study was use TCP estimates for comparing dose and tumors.Protons, lithium ions carbon were considered. Tumor images tentatively depicting hypoxia used as input. Optimal prescription maps obtained by optimizing under and/or...
Hypoxia is an adverse factor in cervical cancer, and hypoxia-related gene expression could be a powerful biomarker for identifying the aggressive hypoxic tumors. Reverse transcription quantitative PCR (RT-qPCR) valuable method studies, but suitable reference genes data normalization that are independent of hypoxia status clinical parameters tumors lacking. In present work, we aimed to identify RT-qPCR studies squamous cancer. From 422 candidate selected from literature, used Illumina...
Abstract We demonstrate excitation of photosensitisers (PSs) by accelerated protons to produce fluorescence and singlet oxygen. Their follows a pattern similar the proton energy loss in matter, while proton-derived spectra match photon-induced spectra. PSs excited dry gelatin exhibit enhanced phosphorescence, suggesting an efficient triplet state population. Singlet oxygen measurements, both optically at ~1270 nm through photoproduct protoporphyrin IX (PpIX), cytotoxic generation excitation....
A positive fluorine-18 labelled 2-deoxy-2-fluoroglucose ([18 F]FDG) positron emission tomography/computed tomography (PET/CT) has been associated with more aggressive disease and less differentiated neuroendocrine neoplasms (NEN). Although a high maximum standardized uptake value (SUVmax ) predicts poor outcome in NEN, volumetric parameters from [18 F]FDG PET have not evaluated for prognostication pure high-grade gastroenteropancreatic (GEP) NEN cohort. In this retrospective observational...
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).