Eirik Malinen

• Huynh, Thuy-Tien Maria; Falk, Ragnhild Sørum; Hellebust, Taran Annette Paulsen; Dale, Einar; Astrup, Guro Lindviksmoen & Hjermstad, Marianne Jensen [Show all 12 contributors for this article] (2024). Chronic fatigue in long-term survivors of head and neck cancer treated with radiotherapy. Radiotherapy and Oncology. ISSN 0167-8140. 195. doi: 10.1016/j.radonc.2024.110231.
• Hanson, Ingunn; Juvkam, Inga; Zlygosteva, Olga; Søland, Tine Merete; Galtung, Hilde & Malinen, Eirik [Show all 7 contributors for this article] (2024). TGF-β3 increases the severity of radiation-induced oral mucositis and salivary gland fibrosis in a mouse model. International Journal of Radiation Biology. ISSN 0955-3002. doi: 10.1080/09553002.2024.2324476.
• Huynh, Thuy-Tien Maria; Dale, Einar; Falk, Ragnhild Sørum; Hellebust, Taran Annette Paulsen; Astrup, Guro Lindviksmoen & Malinen, Eirik [Show all 12 contributors for this article] (2023). Radiation-induced long-term dysphagia in survivors of head and neck cancer and association with dose-volume parameters. Radiotherapy and Oncology. ISSN 0167-8140. 190. doi: 10.1016/j.radonc.2023.110044. Full text in Research Archive
• Juvkam, Inga Solgård; Zlygosteva, Olga; Sitarz, Mateusz; Thiede, Bernd; Sørensen, Brita Singers & Malinen, Eirik [Show all 9 contributors for this article] (2023). Proton Compared to X-Irradiation Induces Different Protein Profiles in Oral Cancer Cells and Their Derived Extracellular Vesicles. International Journal of Molecular Sciences. ISSN 1661-6596. 24(23), p. 1–17. doi: 10.3390/ijms242316983. Full text in Research Archive
• Roa, ana Maria Acosta; Skingen, Vilde Eide; Rekstad, Bernt Louni; Undseth, Christine; Rusten, Espen & Hernes, Eivor [Show all 8 contributors for this article] (2023). Stability of metabolic tumor volume may enable radiotherapy dose painting in anal cancer. Physica Medica. ISSN 1120-1797. 114, p. 1–7. doi: 10.1016/j.ejmp.2023.103151. Full text in Research Archive
• Niyoteka, Stephane; Seban, Romain-David; Rouhi, Rahimeh; Scarsbrook, Andrew; Genestie, Catherine & Classe, Marion [Show all 19 contributors for this article] (2023). A common [18F]-FDG PET radiomic signature to predict survival in patients with HPV-induced cancers. European Journal of Nuclear Medicine and Molecular Imaging. ISSN 1619-7070. doi: 10.1007/s00259-023-06320-2. Full text in Research Archive
• Zlygosteva, Olga; Juvkam, Inga; Aass, Hans Christian; Galtung, Hilde; Søland, Tine Merete & Malinen, Eirik [Show all 7 contributors for this article] (2023). Cytokine Levels in Saliva Are Associated with Salivary Gland Fibrosis and Hyposalivation in Mice after Fractionated Radiotherapy of the Head and Neck. International Journal of Molecular Sciences. ISSN 1661-6596. 24(20). doi: 10.3390/ijms242015218. Full text in Research Archive
• Huynh, Bao Ngoc; Grøndahl, Aurora Rosvoll; Tomic, Oliver; Liland, Kristian Hovde; Knudtsen, Ingerid Søberg Skjei & Hoebers, Frank [Show all 10 contributors for this article] (2023). Head and neck cancer treatment outcome prediction: a comparison between machine learning with conventional radiomics features and deep learning radiomics. Frontiers in medicine. ISSN 2296-858X. 10. doi: 10.3389/fmed.2023.1217037. Full text in Research Archive
• Zlygosteva, Olga; Juvkam, Inga; Arous, Delmon; Sitarz, Mateusz; Sørensen, Brita Singers & Ankjærgaard, Christina [Show all 11 contributors for this article] (2023). Acute normal tissue responses in a murine model following fractionated irradiation of the head and neck with protons or X-rays. Acta Oncologica. ISSN 0284-186X. doi: 10.1080/0284186X.2023.2254481. Full text in Research Archive
• Hanekamp, Bettina; Viktil, Ellen; Slørdahl, Kathinka; Dormagen, Johann Baptist; Kløw, Nils-Einar & Malinen, Eirik [Show all 9 contributors for this article] (2023). Magnetic resonance imaging of anal cancer: tumor characteristics and early prediction of treatment outcome. Strahlentherapie und Onkologie (Print). ISSN 0179-7158. p. 1–9. doi: 10.1007/s00066-023-02114-5. Full text in Research Archive
• Gadre, Sayali S.; Singh, Birendra; Tripathi, Ambuj; Malinen, Eirik & Pandey, Anant (2023). An investigation of luminescence properties of CaF<inf>2</inf>: Dy nanophosphor irradiated with gamma rays and low energy proton beams. Applied Radiation and Isotopes. ISSN 0969-8043. 197. doi: 10.1016/j.apradiso.2023.110821.
• Nattudurai, Ravikumar; Arous, Delmon; Edin, Nina Frederike Jeppesen; Pandey, Anant & Malinen, Eirik (2023). New characterization and evaluation of BaSO<inf>4</inf>: Eu as a thermoluminescent radiation dosimeter. Nuclear Instruments and Methods in Physics Reseach B. ISSN 0168-583X. 541, p. 19–25. doi: 10.1016/j.nimb.2023.05.025.
• Henjum, Helge; Dahle, Tordis Johnsen; Mairani, Andrea; Pilskog, Sara Margareta Cecilia; Stokkevåg, Camilla Hanquist & Boer, Camilla Grindeland [Show all 10 contributors for this article] (2023). Combined RBE and OER optimization in proton therapy with FLUKA based on EF5-PET. Journal of Applied Clinical Medical Physics. ISSN 1526-9914. 24(9). doi: 10.1002/acm2.14014. Full text in Research Archive
• Grøndahl, Aurora Rosvoll; Huynh, Bao Ngoc; Tomic, Oliver; Søvik, Åste; Dale, Einar & Malinen, Eirik [Show all 8 contributors for this article] (2023). Automatic gross tumor segmentation of canine head and neck cancer using deep learning and cross-species transfer learning. Frontiers in Veterinary Science. ISSN 2297-1769. 10. doi: 10.3389/fvets.2023.1143986. Full text in Research Archive
• Nattudurai, Ravikumar; Arous, Delmon; Edin, Nina Frederike Jeppesen; Pandey, Anant & Malinen, Eirik (2023). The energy dependence of BaSO<inf>4</inf>: Eu nanophosphors for thermoluminescence dosimetry of orthovoltage X-rays and low energy protons. Radiation Physics and Chemistry. ISSN 0969-806X. 208. doi: 10.1016/j.radphyschem.2023.110928.
• Arous, Delmon; Lie, Jacob Larsen; Håland, Bjørg Vårli; Børsting, Magnus; Edin, Nina Frederike Jeppesen & Malinen, Eirik (2023). 2D mapping of radiation dose and clonogenic survival for accurate assessment of in vitro X-ray GRID irradiation effects. Physics in Medicine and Biology. ISSN 0031-9155. 68:025024(2). doi: 10.1088/1361-6560/acaf20.
• Juvkam, Inga; Zlygosteva, Olga; Arous, Delmon; Galtung, Hilde; Malinen, Eirik & Søland, Tine Merete [Show all 7 contributors for this article] (2022). A preclinical model to investigate normal tissue damage following fractionated radiotherapy to the head and neck. Journal of radiation research. ISSN 0449-3060. p. 1–9. doi: 10.1093/jrr/rrac066. Full text in Research Archive
• Huynh, Thuy-Tien Maria; Aass, Hans Christian Dalsbotten; Falk, Ragnhild Sørum; Astrup, Guro Lindviksmoen; Helland, Åslaug & Bjøro, Trine [Show all 14 contributors for this article] (2022). Associations between patient-reported late effects and systemic cytokines in long-term survivors of head and neck cancer treated with radiotherapy. Journal of cancer survivorship. ISSN 1932-2259. doi: 10.1007/s11764-022-01273-1. Full text in Research Archive Show summary

  Purpose Head and neck cancer (HNC) treatment may lead to late effects and impaired health-related quality of life of survivors. Knowledge on long-term late effects after radiotherapy (RT) and potential underlying biological mechanisms is lacking. We assessed the prevalence of xerostomia, dysphagia, and chronic fatigue (CF) in HNC survivors ≥ 5 years post-RT, and examined associations between pro-inflammatory cytokines and late effects. Methods In a cross-sectional study, 263 HNC survivors treated between 2007 and 2013 were enrolled. They completed validated questionnaires assessing xerostomia and dysphagia (the EORTC QLQ-H&N35), and CF (the Fatigue Questionnaire), and underwent blood sampling and clinical examination. Pro-inflammatory cytokines were analyzed in 262 survivors and 100 healthy age- and gender-matched controls. Results Median time since treatment was 8.5 years. The proportions of survivors reporting xerostomia, dysphagia, and CF were 58%, 31%, and 33%, respectively, with a preponderance of females. We found no significant associations between IL-6, IL-8, IP-10, TARC, TNF, or ENA-78 and the three late effects. The odds of having elevated levels of IL-6 and IP-10 were significantly higher in the survivors compared to the controls. Conclusions More than one-third of long-term HNC survivors experienced xerostomia, dysphagia, and CF. Persistent inflammation, with elevated systemic cytokines, was not associated with these late effects, although HNC survivors had higher levels of some cytokines than the controls. Implications for Cancer Survivors This study provides new knowledge on late effects that can serve as grounds for informing patients with HNC about risk of late effects more than 5 years after RT.

• Reaz, Fardous; Sjobak, Kyrre Ness; Malinen, Eirik; Edin, Nina Frederike Jeppesen & Adli, Erik (2022). Sharp dose profiles for high precision proton therapy using strongly focused proton beams. Scientific Reports. ISSN 2045-2322. 12(1). doi: 10.1038/s41598-022-22677-0. Full text in Research Archive Show summary

  The main objective of radiotherapy is to exploit the curative potential of ionizing radiation while inflicting minimal radiation-induced damage to healthy tissue and sensitive organs. Proton beam therapy has been developed to irradiate the tumor with higher precision and dose conformity compared to conventional X-ray irradiation. The dose conformity of this treatment modality may be further improved if narrower proton beams are used. Still, this is limited by multiple Coulomb scattering of protons through tissue. The primary aim of this work was to develop techniques to produce narrow proton beams and investigate the resulting dose profiles. We introduced and assessed three different proton beam shaping techniques: (1) metal collimators (100/150 MeV), (2) focusing of conventional- (100/150 MeV), and (3) focusing of high-energy (350 MeV, shoot-through) proton beams. Focusing was governed by the initial value of the Twiss parameter 𝛼 (𝛼0), and can be implemented with magnetic particle accelerator optics. The dose distributions in water were calculated by Monte Carlo simulations using Geant4, and evaluated by target to surface dose ratio (TSDR) in addition to the transverse beam size (σ𝑇) at the target. The target was defined as the location of the Bragg peak or the focal point. The different techniques showed greatly differing dose profiles, where focusing gave pronouncedly higher relative target dose and efficient use of primary protons. Metal collimators with radii <2 mm gave low TSDRs (< 0.7) and large σ𝑇(> 3.6 mm). In contrast, a focused beam of conventional (150 MeV) energy produced a very high TSDR (> 80) with similar σ𝑇 as a collimated beam. High-energy focused beams were able to produce TSDRs > 100 and σ𝑇 around 1.5 mm. From this study, it appears very attractive to implement magnetically focused proton beams in radiotherapy of small lesions or tumors in close vicinity to healthy organs at risk. This can also lead to a paradigm change in spatially fractionated radiotherapy. Magnetic focusing would facilitate FLASH irradiation due to low losses of primary protons.

• Hanson, Ingunn; Pitman, Kathinka Elinor; Altanerova, Ursula; Altaner, Čestmír; Malinen, Eirik & Edin, Nina Frederike Jeppesen (2022). Low-Dose-Rate Radiation-Induced Secretion of TGF-β3 Together with an Activator in Small Extracellular Vesicles Modifies Low-Dose Hyper-Radiosensitivity through ALK1 Binding. International Journal of Molecular Sciences. ISSN 1661-6596. 23(15). doi: 10.3390/ijms23158147.
• Skipar, Kjersti Øvrum; Hompland, Tord; Lund, Kjersti Vassmo; Løndalen, Ayca; Malinen, Eirik & Kristensen, Gunnar S Balle [Show all 10 contributors for this article] (2022). Risk of recurrence after chemoradiotherapy identified by multimodal MRI and 18F-FDG-PET/CT in locally advanced cervical cancer. Radiotherapy and Oncology. ISSN 0167-8140. 176, p. 17–24. doi: 10.1016/j.radonc.2022.09.002. Show summary

  Background and purpose: MRI, applying dynamic contrast-enhanced (DCE) and diffusion-weighted (DW) sequences, and 18F-fluorodeoxyglucose (18F-FDG) PET/CT provide information about tumor aggressiveness that is unexploited in treatment of locally advanced cervical cancer (LACC). We investigated the potential of a multimodal combination of imaging parameters for classifying patients according to their risk of recurrence. Materials and methods: Eighty-two LACC patients with diagnostic MRI and FDG-PET/CT, treated with chemoradiotherapy, were collected. Thirty-eight patients with MRI only were included for validation of MRI results. Endpoints were survival (disease-free, cancer-specific, overall) and tumor control (local, locoregional, distant). Ktrans, reflecting vascular function, apparent diffusion coefficient (ADC), reflecting cellularity, and standardized uptake value (SUV), reflecting glucose uptake,were extracted from DCE-MR, DW-MR and FDG-PET images, respectively. By applying an oxygen consumption and supply-based method, ADC and Ktrans parametric maps were voxel-wise combined into hypoxia images that were used to determine hypoxic fraction (HF). Results: HF showed a stronger association with outcome than the single modality parameters. This association was confirmed in the validation cohort.Low HF identified low-risk patients with 95 % precision. Based on the 50th SUV-percentile (SUV50), patients with high HF were divided into an intermediate- and high-risk group with high and low SUV50, respectively. This defined a multimodality biomarker, HF/SUV50. HF/SUV50 increased the precision of detecting high-risk patients from 41% (HF alone) to 57% and showed prognostic significance in multivariable analysis for all endpoints. Conclusion: Multimodal combination of MR- and FDG-PET/CT-images improves classification of LACC patients compared to single modality images and clinical factors.

• Langen Stokmo, Henning; Aly, Mahmoud; Lothe, Inger Marie Bowitz; Borja, Austin J.; Seraj, Siavash Mehdizadeh & Ghorpade, Rina [Show all 13 contributors for this article] (2022). Volumetric parameters from [18F]FDG PET/CT predicts survival in patients with high-grade gastroenteropancreatic neuroendocrine neoplasms. Journal of neuroendocrinology. ISSN 0953-8194. 34(7). doi: 10.1111/jne.13170. Full text in Research Archive Show summary

  A positive fluorine-18 labelled 2-deoxy-2-fluoroglucose ([18F]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 [18F]FDG PET have not been evaluated for prognostication in a pure high-grade gastroenteropancreatic (GEP) NEN cohort. In this retrospective observational study, we evaluated the volumetric PET parameters total metabolic tumour volume (tMTV) and total total lesion glycolysis (tTLG) for independent prognostication of overall survival (OS). High-grade GEP NEN patients with [18F]FDG PET/CT examination and biopsy within 90 days were included. Total MTV and tTLG were calculated using an adaptive thresholding software. Patients were dichotomised into low and high metabolic groups based on median tMTV and tTLG. OS was compared using Kaplan–Meier estimator and log-rank test. Uni and multivariable Cox regression was used to estimate effect sizes and adjust for tumour differentiation and SUVmax. Sixty-six patients (median age 64 years) were included with 14 NET G3 and 52 NEC cases after histological re-evaluation. Median tMTV was 208 cm3 and median tTLG 1899 g. Median OS in the low versus high tMTV-group was 21.2 versus 5.7 months (HR 2.53, p = 0.0007) and 22.8 versus 5.7 months (HR 2.42, p = 0.0012) in the tTLG-group. Adjusted for tumour differentiation and SUVmax, tMTV and tTLG still predicted for poor OS, and both tMTV and tTLG were stronger prognostic parameters than SUVmax. Both regression models showed a strong association between volumetric parameters and OS for both neuroendocrine tumours (NET) G3 and neuroendocrine carcinomas (NEC). OS for the tTLG low metabolic NEC was much higher than for the tTLG high metabolic NET G3 (18.3 vs. 5.7 months). High-grade GEP NEN patients with high tMTV or tTLG had a worse OS regardless of tumour differentiation (NET G3 or NEC). Volumetric PET parameters were stronger prognostic parameters than SUVmax.

• Papoutis, Iosif; Knudtsen, Ingerid Skjei; Sande, Erlend Peter Skaug; Rekstad, Bernt Louni; Öllers, Michel & van Elmpt, Wouter [Show all 8 contributors for this article] (2022). Positron emission tomography guided dose painting by numbers of lung cancer: Alanine dosimetry in an anthropomorphic phantom. Physics and imaging in radiation oncology (PIRO). ISSN 2405-6316. 21, p. 101–107. doi: 10.1016/j.phro.2022.02.013. Full text in Research Archive
• Arous, Delmon; Schrunner, Stefan; Hanson, Ingunn; Edin, Nina Frederike Jeppesen & Malinen, Eirik (2022). Principal component-based image segmentation: a new approach to outline in vitro cell colonies. Computer Methods in Biomechanics and Biomedical Engineering: Imaging and Visualization. ISSN 2168-1163. doi: 10.1080/21681163.2022.2035822. Full text in Research Archive
• Slørdahl, Kathinka; Klotz, Dagmar; Olsen, Jan Åge; Skovlund, Eva; Undseth, Christine & Abildgaard, Heidi L. [Show all 17 contributors for this article] (2021). Treatment outcomes and prognostic factors after chemoradiotherapy for anal cancer. Acta Oncologica. ISSN 0284-186X. 60(7), p. 921–930. doi: 10.1080/0284186X.2021.1918763. Full text in Research Archive
• Choudhury, Ananya; Theophanous, Stelios; Lønne, Per-Ivar; Samuel, Robert; Guren, Marianne Grønlie & Berbee, Maaike [Show all 14 contributors for this article] (2021). Predicting outcomes in anal cancer patients using multi-centre data and distributed learning - A proof-of-concept study. Radiotherapy and Oncology. ISSN 0167-8140. 159, p. 183–189. doi: 10.1016/j.radonc.2021.03.013.
• Wright, Pauliina; Arnesen, Marius Røthe; Lønne, Per-Ivar; Suilamo, Sami; Silvoniemi, Antti & Dale, Einar [Show all 8 contributors for this article] (2021). Repeatability of hypoxia dose painting by numbers based on EF5-PET in head and neck cancer. Acta Oncologica. ISSN 0284-186X. 60(11), p. 1386–1391. doi: 10.1080/0284186X.2021.1944663.
• Grøndahl, Aurora Rosvoll; Moe, Yngve Mardal; Kaushal, Christine Kiran; Huynh, Bao Ngoc; Rusten, Espen & Tomic, Oliver [Show all 12 contributors for this article] (2021). Deep learning-based automatic delineation of anal cancer gross tumour volume: a multimodality comparison of CT, PET and MRI. Acta Oncologica. ISSN 0284-186X. 61(1), p. 89–96. doi: 10.1080/0284186X.2021.1994645.
• Asperud, Jonas; Arous, Delmon; Edin, Nina Frederike Jeppesen & Malinen, Eirik (2021). Spatially fractionated radiotherapy: Tumor response modelling including immunomodulation. Physics in Medicine and Biology. ISSN 0031-9155. 66(17). doi: 10.1088/1361-6560/ac176b.
• Grøndahl, Aurora Rosvoll; Knudtsen, Ingerid Skjei; Huynh, Bao Ngoc; Mulstad, Martine; Moe, Yngve Mardal & Knuth, Franziska [Show all 12 contributors for this article] (2021). A comparison of methods for fully automatic segmentation of tumors and involved nodes in PET/CT of head and neck cancers. Physics in Medicine and Biology. ISSN 0031-9155. 66(6). doi: 10.1088/1361-6560/abe553.
• Moe, Yngve Mardal; Grøndahl, Aurora Rosvoll; Tomic, Oliver; Dale, Einar; Malinen, Eirik & Futsæther, Cecilia Marie (2021). Deep learning-based auto-delineation of gross tumour volumes and involved nodes in PET/CT images of head and neck cancer patients. European Journal of Nuclear Medicine and Molecular Imaging. ISSN 1619-7070. 48, p. 2782–2792. doi: 10.1007/s00259-020-05125-x. Full text in Research Archive Show summary

  Abstract Purpose Identification and delineation of the gross tumour and malignant nodal volume (GTV) in medical images are vital in radiotherapy. We assessed the applicability of convolutional neural networks (CNNs) for fully automatic delineation of the GTV from FDG-PET/CT images of patients with head and neck cancer (HNC). CNN models were compared to manual GTV delineations made by experienced specialists. New structure-based performance metrics were introduced to enable in-depth assessment of auto-delineation of multiple malignant structures in individual patients. Methods U-Net CNN models were trained and evaluated on images and manual GTV delineations from 197 HNC patients. The dataset was split into training, validation and test cohorts (n= 142, n = 15 and n = 40, respectively). The Dice score, surface distance metrics and the new structure-based metrics were used for model evaluation. Additionally, auto-delineations were manually assessed by an oncologist for 15 randomly selected patients in the test cohort. Results The mean Dice scores of the auto-delineations were 55%, 69% and 71% for the CT-based, PET-based and PET/CT-based CNN models, respectively. The PET signal was essential for delineating all structures. Models based on PET/CT images identified 86% of the true GTV structures, whereas models built solely on CT images identified only 55% of the true structures. The oncologist reported very high-quality auto-delineations for 14 out of the 15 randomly selected patients. Conclusions CNNs provided high-quality auto-delineations for HNC using multimodality PET/CT. The introduced structure-wise evaluation metrics provided valuable information on CNN model strengths and weaknesses for multi-structure auto-delineation.

• Görgen, Andreas; Guttormsen, Magne Sveen; Larsen, Ann-Cecilie; Siem, Sunniva; Adli, Erik & Edin, Nina Frederike J [Show all 14 contributors for this article] (2021). The Oslo Cyclotron Laboratory. The European Physical Journal Plus. ISSN 2190-5444. 136, p. 1–13. doi: 10.1140/epjp/s13360-021-01150-3. Full text in Research Archive
• Houdt, Petra J van; Kallehauge, Jesper F; Tanderup, Kari; Nout, Remi; Zaletelj, Marko & Tadic, Tony [Show all 17 contributors for this article] (2020). Phantom-based quality assurance for multicenter quantitative MRI in locally advanced cervical cancer. Narcisse. ISSN 0802-2526. doi: 10.1016/j.radonc.2020.09.013.
• Abravan, Azadeh; Eide, Hanne Astrid; Helland, Åslaug & Malinen, Eirik (2020). Radiotherapy-related lymphopenia in patients with advanced non-small cell lung cancer receiving palliative radiotherapy. Clinical and Translational Radiation Oncology. ISSN 2405-6308. 22, p. 15–21. doi: 10.1016/j.ctro.2020.02.005. Full text in Research Archive
• Samnøy, Andreas Tefre; Ytre-Hauge, Kristian; Malinen, Eirik; Tran, Linh; Rosenfeld, Anatoly & Povoli, Marco [Show all 9 contributors for this article] (2020). Microdosimetry with a 3D silicon on insulator (SOI) detector in a low energy proton beamline. Radiation Physics and Chemistry. ISSN 0969-806X. 176. doi: 10.1016/j.radphyschem.2020.109078. Full text in Research Archive Show summary

  An accurate description of the radiation quality of proton beams is a precondition to increase our understanding of radiobiological mechanisms and to develop accurate biological response models for radiotherapy. However, there are few detectors capable of measuring microdosimetric quantities with high spatial resolution along the entire Bragg curve due to the rapid increase in stopping power at the Bragg peak (BP) and distal dose fall-off (DDF). The aim of this work was to measure the microdosimetric spectra along the Bragg curve in a low energy proton beamline used for radiobiological experiments with a novel 3D silicon-on-insulator (SOI) “mushroom” microdosimeter.

• Al-Haidari, Ghazwan Ahmed Dhia Eldin; Skovlund, Eva; Undseth, Christine; Rekstad, Bernt Louni; Larsen, Steinar & Åsli, Linn Merete [Show all 9 contributors for this article] (2020). Re-irradiation for recurrent rectal cancer – a single-center experience. Acta Oncologica. ISSN 0284-186X. 59(5), p. 534–540. doi: 10.1080/0284186X.2020.1725111.
• Dahle, Tordis Johnsen; Rusten, Espen; Stokkevåg, Camilla Hanquist; Silvoniemi, Antti; Mairani, Andrea & Fjæra, Lars Fredrik [Show all 14 contributors for this article] (2020). The FLUKA Monte Carlo code coupled with an OER model for biologically weighted dose calculations in proton therapy of hypoxic tumors. Physica Medica. ISSN 1120-1797. 76, p. 166–172. doi: 10.1016/j.ejmp.2020.07.003. Full text in Research Archive
• Fjeldbo, Christina Sæten; Hompland, Tord; Hillestad, Tiril; Aarnes, Eva-Katrine; Günther, Clara-Cecilie & Kristensen, Gunnar S Balle [Show all 8 contributors for this article] (2020). Combining imaging- and gene-based hypoxia biomarkers in cervical cancer improves prediction of chemoradiotherapy failure independent of intratumour heterogeneity. EBioMedicine. ISSN 2352-3964. 57. doi: 10.1016/j.ebiom.2020.102841. Full text in Research Archive Show summary

  Background Emerging biomarkers from medical imaging or molecular characterization of tumour biopsies open up for combining the two and exploiting their synergy in treatment planning of cancer patients. We generated a paired data set of imaging- and gene-based hypoxia biomarkers in cervical cancer, appraised the influence of intratumour heterogeneity in patient classification, and investigated the benefit of combining the methodologies in prediction of chemoradiotherapy failure. Methods Hypoxic fraction from dynamic contrast enhanced (DCE)-MR images and an expression signature of six hypoxia-responsive genes were assessed as imaging- and gene-based biomarker, respectively in 118 patients. Findings Dichotomous biomarker cutoff to yield similar hypoxia status by imaging and genes was defined in 41 patients, and the association was validated in the remaining 77 patients. The two biomarkers classified 75% of 118 patients with the same hypoxia status, and inconsistent classification was not related to imaging-defined intratumour heterogeneity in hypoxia. Gene-based hypoxia was independent on tumour cell fraction in the biopsies and showed minor heterogeneity across multiple samples in 9 tumours. Combining imaging- and gene-based classification gave a significantly better prediction of PFS than one biomarker alone. A combined dichotomous biomarker optimized in 77 patients showed a large separation in PFS between more and less hypoxic tumours, and separated the remaining 41 patients with different PFS. The combined biomarker showed prognostic value together with tumour stage in multivariate analysis. Interpretation Combining imaging- and gene-based biomarkers may enable more precise and informative assessment of hypoxia-related chemoradiotherapy resistance in cervical cancer.

• Alluri, Santosh Reddy; Pitman, Kathinka; Malinen, Eirik & Riss, Patrick (2019). Synthesis, radiosynthesis, and positron emission tomography neuroimaging using 5-[18 F]fluoro-L-amino suberate. Journal of labelled compounds & radiopharmaceuticals. ISSN 0362-4803. 63(1), p. 6–14. doi: 10.1002/jlcr.3814. Full text in Research Archive
• Pitman, Kathinka; Bakke, Kine Mari; Kristian, Alexandr & Malinen, Eirik (2019). Ultra-early changes in vascular parameters from dynamic contrast enhanced MRI of breast cancer xenografts following systemic therapy with doxorubicin and liver X receptor agonist. Cancer Imaging. ISSN 1740-5025. 19:88, p. 1–7. doi: 10.1186/s40644-019-0280-y. Full text in Research Archive
• Grigalavicius, Mantas; Mastrangelopoulou, Maria; Berg, Kristian; Arous, Delmon; Ménard, Mathilde & Henriksen-Raabe, Tine Therese [Show all 12 contributors for this article] (2019). Proton-dynamic therapy following photosensitiser activation by accelerated protons demonstrated through fluorescence and singlet oxygen production. Nature Communications. ISSN 2041-1723. 10(1). doi: 10.1038/s41467-019-12042-7. Full text in Research Archive
• Moan, Jon Magne Kaarstein; Amdal, Cecilie Delphin; Malinen, Eirik; Svestad, Jørund Graadal; Bogsrud, Trond & Dale, Einar (2019). The prognostic role of 18F-fluorodeoxyglucose PET in head and neck cancer depends on HPV status. Radiotherapy and Oncology. ISSN 0167-8140. 140, p. 54–61. doi: 10.1016/j.radonc.2019.05.019.
• Pitman, Kathinka; Alluri, Santosh Reddy; Kristian, Alexandr; Aarnes, Eva-Katrine; Lyng, Heidi & Riss, Patrick [Show all 7 contributors for this article] (2019). Influx rate of 18F-fluoroaminosuberic acid reflects cystine/glutamate antiporter expression in tumour xenografts. European Journal of Nuclear Medicine and Molecular Imaging. ISSN 1619-7070. 46(10), p. 2190–2198. doi: 10.1007/s00259-019-04375-8.
• Rusten, Espen; Rekstad, Bernt Louni; Undseth, Christine; Klotz, Dagmar; Hernes, Eivor & Guren, Marianne Grønlie [Show all 7 contributors for this article] (2019). Anal cancer chemoradiotherapy outcome prediction using 18F-fluorodeoxyglucose positron emission tomography and clinicopathological factors. British Journal of Radiology (BJR). ISSN 0007-1285. 92:20181006(1097), p. 1–8. doi: 10.1259/bjr.20181006. Full text in Research Archive
• Tulipan, Andreas Julius; Vlatkovic, Ljiljana; Malinen, Eirik; Brennhovd, Bjørn; Hole, Knut Håkon & Lie, Kathrine [Show all 9 contributors for this article] (2018). Comparison of time curves from dynamic 18F-fluciclovine positron emission tomography and dynamic contrast-enhanced magnetic resonance imaging for primary prostate carcinomas. Physics and imaging in radiation oncology (PIRO). ISSN 2405-6316. 7, p. 51–57. doi: 10.1016/j.phro.2018.09.003. Full text in Research Archive
• Skjøtskift, Torleiv; Evensen, Morten Egeberg; Furre, Torbjørn; Moan, Jon Magne Kaarstein; Amdal, Cecilie Delphin & Bogsrud, Trond [Show all 8 contributors for this article] (2018). Dose painting for re-irradiation of head and neck cancer. Acta Oncologica. ISSN 0284-186X. 57(12), p. 1693–1699. doi: 10.1080/0284186X.2018.1512753.
• de Lange, Charlotte; Solberg, Rønnaug; Holtedahl, Jon Erik; Tulipan, Andreas Julius; Barlinn, Jon & Trigg, William [Show all 10 contributors for this article] (2018). Dynamic TSPO-PET for assessing early effects of cerebral hypoxia and resuscitation in new born pigs . Nuclear Medicine and Biology. ISSN 0969-8051. 66, p. 49–57. doi: 10.1016/j.nucmedbio.2018.08.004.
• Abravan, Azadeh; Eide, Hanne Astrid; Løndalen, Ayca; Helland, Åslaug & Malinen, Eirik (2018). Mapping bone marrow response in the vertebral column by positron emission tomography following radiotherapy and erlotinib therapy of lung cancer. Molecular Imaging and Biology. ISSN 1536-1632. 21(2), p. 391–398. doi: 10.1007/s11307-018-1226-7.
• Eide, Hanne Astrid; Knudtsen, Ingerid Skjei; Sandhu, Vandana; Løndalen, Ayca; Halvorsen, Ann Rita & Abravan, Azadeh [Show all 12 contributors for this article] (2018). Serum cytokine profiles and metabolic tumor burden in patients with non-small cell lung cancer undergoing palliative thoracic radiation therapy. Advances in Radiation Oncology. ISSN 2452-1094. 3(2), p. 130–138. doi: 10.1016/j.adro.2017.12.007. Full text in Research Archive

View all works in Cristin

• Huynh, Bao Ngoc; Groendahl, Aurora Rosvoll; Tomic, Oliver; Knudtsen, Ingerid Skjei; Hoebers, Frank & van Elmpt, Wouter [Show all 9 contributors for this article] (2023). PO-2114 Machine learning and image-oriented methods for head and neck cancer treatment outcome prediction. Radiotherapy and Oncology. ISSN 0167-8140. 182, p. 1899–1901. doi: 10.1016/S0167-8140(23)67029-X.
• Rykkelid, Anne Marit; sinha, Priyanshu; Folefac, Charlemagne; Horsman, Michael; Sørensen, Brita Singers & Søland, Tine Merete [Show all 9 contributors for this article] (2023). Synergistic effects of combining proton- or X-irradiation with anti-PDL1 immunotherapy in two murine oral cancers.
• Rykkelid, Anne Marit; sinha, Priyanshu; Folefac, Charlemagne; Horsman, Michael; Sørensen, Brita Singers & Søland, Tine Merete [Show all 9 contributors for this article] (2023). Synergistic effects of combining proton- or X-irradiation with anti-PDL1 immunotherapy in two murine oral cancers.
• Huynh, Bao Ngoc; Grøndahl, Aurora; Langberg, Geir Severin Rakh Elvatun; Tomic, Oliver; Malinen, Eirik & Dale, Einar [Show all 7 contributors for this article] (2022). PD-0159 Deep learning and radiomics of PET/CT images for head and neck cancer treatment outcome prediction. Radiotherapy and Oncology. ISSN 0167-8140. doi: 10.1016/S0167-8140(22)02764-5.
• Nattudurai, Ravikumar; Arous, Delmon; Edin, Nina Frederike Jeppesen; Pandey, Anant & Malinen, Eirik (2022). Dosimetric characterization of BaSO4 phosphors activated by Eu for proton, gamma and X-ray beams.
• Rykkelid, Anne Marit; Sørensen, Brita Singers; Horsman, Michael; Malinen, Eirik & Edin, Nina Frederike Jeppesen (2022). Effect of the Combination of Proton Radiotherapy and Immunotherapy on the MOC1/MOC2 tumor models in C57B16/Jrj mice.
• Nattudurai, Ravikumar; Arous, Delmon; Edin, Nina Frederike Jeppesen; Pandey, Anant & Malinen, Eirik (2022). Investigation of BaSO4:Eu nanophosphors for thermoluminescence dosimetry of X-ray and proton beams. Radiotherapy and Oncology. ISSN 0167-8140. 170.
• Evensen, Morten Egeberg; Furre, Torbjørn; Malinen, Eirik; Løndalen, Ayca & Dale, Einar (2022). Mucosa-sparing dose painting of head and neck cancer. Acta Oncologica. ISSN 0284-186X. 61(2), p. 141–145. doi: 10.1080/0284186X.2021.2022200.
• Grigalavicius, Mantas; Mastrangelopoulou, Maria; Berg, K.; Arous, Delmon; Ménard, M. & Raabe-Henriksen, T. [Show all 12 contributors for this article] (2021). Publisher Correction: Proton-dynamic therapy following photosensitiser activation by accelerated protons demonstrated through fluorescence and singlet oxygen production (Nature Communications, (2019), 10, 1, (3986), 10.1038/s41467-019-12042-7). Nature Communications. ISSN 2041-1723. 12(1). doi: 10.1038/s41467-021-27175-x.
• Huynh, Bao Ngoc; Grøndahl, Aurora Rosvoll; Moe, Yngve Mardal; Tomic, Oliver; Dale, Einar & Malinen, Eirik [Show all 7 contributors for this article] (2021). Deep learning for automatic segmentation of head and neck cancers in PET/CT images: the simpler, the better.
• Huynh, Bao Ngoc; Grøndahl, Aurora Rosvoll; Mardal Moe, Yngve; Tomic, Oliver; Dale, Einar & Malinen, Eirik [Show all 7 contributors for this article] (2021). PO-1655 Tuning deep learning models for automatic segmentation of head and neck cancers in PET/CT images. Radiotherapy and Oncology. ISSN 0167-8140. doi: 10.1016/S0167-8140(21)08106-8.
• Grøndahl, Aurora Rosvoll; Huynh, Bao Ngoc; Moe, Yngve Mardal; Kaushal, Christine Kiran; Rusten, Espen & Tomic, Oliver [Show all 13 contributors for this article] (2021). Deep learning for automatic target volume delineation .
• Grøndahl, Aurora Rosvoll; Huynh, Bao Ngoc; Moe, Yngve Mardal; Kaushal, Christine Kiran; Rusten, Espen & Tomic, Oliver [Show all 12 contributors for this article] (2021). Deep learning-based automatic delineation of anal cancer gross tumour volume: A multimodality comparison of CT,PET and MRI.
• Grøndahl, Aurora Rosvoll; Huynh, Bao Ngoc; Moe, Yngve Mardal; Kaushal, Christine Kiran; Rusten, Espen & Tomic, Oliver [Show all 12 contributors for this article] (2021). Deep learning-based automatic delineation of anal cancer gross tumour volume: A multimodality comparison of CT, PET and MRI.
• Nattudurai, Ravikumar; Arous, Delmon; Edin, Nina Frederike Jeppesen & Malinen, Eirik (2021). Estimating linear energy transfer in proton beams using alanine/EPR dosimetry.
• Nattudurai, Ravikumar; Arous, Delmon; Edin, Nina Frederike Jeppesen & Malinen, Eirik (2021). Alanine dosimeters for determining linear energy transfer in proton beams. Radiotherapy and Oncology. ISSN 0167-8140. 161, p. 229–229.
• Winter, René M.; Julbø, Frida M. I.; Marthinsen, Anne Beate Langeland; Negård, Anne; Meltzer, Sebastian & Redalen, Kathrine [Show all 7 contributors for this article] (2021). R2* MRI based tumor control probability modelling for dose painting by contours in rectal cancer.
• Winter, René M.; Julbø, Frida M. I.; Marthinsen, Anne Beate Langeland; Negård, Anne; Meltzer, Sebastian & Redalen, Kathrine [Show all 7 contributors for this article] (2021). R2* MRI based dose painting by contours in rectal cancer (Talk).
• Stokmo, Henning Langen; Hjortland, Geir Olav; Malinen, Eirik & Rootwelt-Revheim, Mona Elisabeth (2020). The role of 18F-FDG PET/CT in the prediction of overall survival of patients with GEP-NECs. European Journal of Nuclear Medicine and Molecular Imaging. ISSN 1619-7070. 47 (suppl 1), p. 141–141. doi: 10.1007/s00259-020-04988-4.
• Zlygosteva, Olga; Malinen, Eirik & Edin, Nina Frederike J (2020). PROCCA: a new convergence environment.
• Malinen, Eirik (2019). Strålende helse.
• Malinen, Eirik (2019). Protons contra cancer.
• Kalsnes, Joakim; Rusten, Espen; Abravan, Azadeh; Rekstad, Bernt Louni; Hernes, Eivor & Guren, Marianne [Show all 7 contributors for this article] (2019). Assessment of hematologic toxicity by 18F-fluorodeoxyglucose PET/CT in anal cancer patients following chemoradiation.
• Mardal Moe, Yngve; Grøndahl, Aurora Rosvoll; Mulstad, Martine; Tomic, Oliver; Indahl, Ulf Geir & Dale, Einar [Show all 8 contributors for this article] (2019). Deep Learning for automatic tumour segmentation in PET/CT images of patients with head and neck cancers.
• Knudtsen, Ingerid Skjei; Rusten, Espen; Grøndahl, Aurora Rosvoll; Furre, Torbjørn; Hellebust, Taran Paulsen & Futsæther, Cecilia Marie [Show all 8 contributors for this article] (2019). The BIORADIANCE project.
• Rusten, Espen; Rekstad, Bernt Louni; Undseth, Christine; Hernes, Eivor; Hanekamp, Bettina & Guren, Marianne [Show all 7 contributors for this article] (2019). Medical imaging of anal cancer and image-guided radiotherapy strategies .
• Malinen, Eirik (2019). Imaging for tumor characterization and radiotherapy tailoring.
• Malinen, Eirik (2019). Functional imaging in radiotherapy.
• Kalsnes, Joakim; Rusten, Espen; Abravan, Azadeh; Rekstad, Bernt Louni; Hernes, Eivor & Guren, Marianne [Show all 7 contributors for this article] (2019). FDG-PET/CT-based assessment of hematologic toxicity in anal cancer patients following chemoradiation. Radiotherapy and Oncology. ISSN 0167-8140. 133, p. 1112–1112.
• Edin, Nina Frederike J; Rykkelid, Anne Marit; Görgen, Andreas; Baker, Agnes; Siem, Sunniva & Ytre-Hauge, Kristian [Show all 7 contributors for this article] (2019). Very high yield of double strand breaks found at the distal end of the proton Bragg peak. Radiotherapy and Oncology. ISSN 0167-8140. 133, p. 594–594.
• Grøndahl, Aurora Rosvoll; Mulstad, Martine; Moe, Yngve Mardal; Knudtsen, Ingerid Skjei; Torheim, Turid Katrine Gjerstad & Tomic, Oliver [Show all 10 contributors for this article] (2019). Comparison of automatic tumour segmentation approaches for head and neck cancers in PET/CT images. Radiotherapy and Oncology. ISSN 0167-8140. 133, p. 557–557.
• Grøndahl, Aurora Rosvoll; Midtfjord, Alise Danielle; Langberg, Geir Severin Rakh Elvatun; Tomic, Oliver; Indahl, Ulf Geir & Knudtsen, Ingerid Skjei [Show all 9 contributors for this article] (2019). Prediction of treatment outcome for head and neck cancers using radiomics of PET/CT images. Radiotherapy and Oncology. ISSN 0167-8140. 133, p. 526–526.
• Abravan, Azadeh; Eide, Hanne Astrid; Helland, Åslaug & Malinen, Eirik (2019). Radiotherapy-related lymphopenia in patients with advanced non-small cell lung cancer receiving palliative radiotherapy.
• Grøndahl, Aurora Rosvoll; Knudtsen, Ingerid Skjei; Mulstad, Martine; Tomic, Oliver; Moe, Yngve Mardal & Indahl, Ulf Geir [Show all 10 contributors for this article] (2019). Automatic tumour delineation of head and neck cancers in PET/CT images using thresholding and machine learning methods.
• Langberg, Geir Severin; Grøndahl, Aurora Rosvoll; Midtfjord, Alise Danielle; Tomic, Oliver; Liland, Kristian Hovde & Knudtsen, Ingerid Skjei [Show all 9 contributors for this article] (2019). Establishing a complete radiomics framework for biomarker identification and outcome prediction using PET/CT images of head & neck cancers.
• Rykkelid, Anne Marit; Tormodsrud, Vera; Siem, Sunniva; Görgen, Andreas; Ytre-Hauge, Kristian & Malinen, Eirik [Show all 7 contributors for this article] (2019). Very high RBE values found at the distal end of the proton Bragg peak.
• Malinen, Eirik (2019). Dynamic imaging and pharmacokinetic modelling. From biology to physics and back.
• Fjeldbo, Christina Sæten; Hompland, Tord; Hillestad, Tiril; Aarnes, Eva-Katrine; Kristensen, Gunnar S Balle & Malinen, Eirik [Show all 7 contributors for this article] (2019). Treatment decision support by imaging- and gene-based hypoxia classification in cervical cancer.
• Malinen, Eirik (2018). Rationale for functional imaging in radiotherapy.
• Malinen, Eirik (2018). Radiotherapy planning options in anal cancer.
• Rykkelid, Anne Marit; Siem, Sunniva; Ytre-Hauge, Kristian; Malinen, Eirik & Edin, Nina Frederike J (2018). Very high relative biological effectiveness found at the distal end of the proton Bragg peak. Radiotherapy and Oncology. ISSN 0167-8140. 127, p. 1259–1259.
• Arous, Delmon; Pettersen, Erik O; Malinen, Eirik & Hellebust, Taran Paulsen (2018). Radiobiological plan evaluation in brachytherapy using two different cell survival models. Radiotherapy and Oncology. ISSN 0167-8140. 127, p. 1233–1233.
• Skingen, Vilde Eide; Rusten, Espen; Rekstad, Bernt Louni; Undseth, Christine; Guren, Marianne & Malinen, Eirik (2018). A patient-specific tumor control probability model based on total lesion glycolysis of anal cancer. Radiotherapy and Oncology. ISSN 0167-8140. 127, p. 1088–1088.
• Abravan, Azadeh; Eide, Hanne Astrid; Løndalen, Ayca; Helland, Åslaug & Malinen, Eirik (2018). Reduction in the bone marrow 18F-FDG uptake during thoracic radiotherapy of lung cancer. Radiotherapy and Oncology. ISSN 0167-8140. 127, p. 1164–1164.
• Skjøtskift, Torleiv; Amdal, Cecilie Delphin; Evensen, Morten Egeberg; Furre, Torbjørn; Moan, Jon Magne & Bogsrud, Trond [Show all 8 contributors for this article] (2018). Early toxicity profile after re-irradiation with dose painting of head and neck cancer. Radiotherapy and Oncology. ISSN 0167-8140. 127, p. 631–631.
• Furre, Torbjørn; Rekstad, Bernt Louni; Ramberg, Christina; Hellebust, Taran Paulsen; Malinen, Eirik & Dale, Einar (2018). A comparison of swallowing sparing IMPT and VMAT for head and neck cancer. Radiotherapy and Oncology. ISSN 0167-8140. 127, p. 489–489.
• Rusten, Espen; Rekstad, Bernt Louni; Undseth, Christine; Hernes, Eivor; Guren, Marianne & Malinen, Eirik (2018). Prediction of anal carcinoma chemoradiotherapy outcome by a new PET-based biomarker. Radiotherapy and Oncology. ISSN 0167-8140. 127, p. 814–814.
• Grimstad, Ingeborg; Arnesen, Marius Røthe; Bruheim, Kjersti; Malinen, Eirik & Hellebust, Taran Paulsen (2018). Dose-surface maps as a tool to predict toxicity after radiotherapy for cervical cancer patients. Radiotherapy and Oncology. ISSN 0167-8140. 127, p. 570–570.
• Malinen, Eirik (2018). Multi-parametric imaging for outcome prediction and response assessment. Radiotherapy and Oncology. ISSN 0167-8140. 127, p. 63–63.
• Malinen, Eirik; Hauge, Eirik Ramsli; Furre, Torbjørn; Rekstad, Bernt Louni; Arnesen, Marius Røthe & Dale, Einar (2018). Dose painting by numbers of head and neck cancer: photons vs protons.
• Støen, Ingvild; Rusten, Espen; Rekstad, Bernt Louni; Undseth, Christine; Al-Haidari, Ghazwan Ahmed Dhia Eldin & Hellebust, Taran Paulsen [Show all 8 contributors for this article] (2017). Optimal threshold for PET-based autocontouring of boost volume for radiotherapy of anal carcinoma.

View all works in Cristin