Publikasjoner
Vitenskapelig artikkel
- Erlend Hodneland; Erling Andersen; Kari Strøno Wagner-Larsen et al. (2024). Impact of MRI radiomic feature normalization for prognostic modelling in uterine endometrial and cervical cancers. (ekstern lenke)
- Mari Kyllesø Halle; Ane Cecilie Dæhli Munk; Birgit Øvstebø Engesæter et al. (2021). A gene signature identifying CIN3 regression and cervical cancer survival. (ekstern lenke)
- Cathrine Horn Sommersten; Johnny Laupsa-Borge; Amanda Iselin Olesen Andersen et al. (2022). Diets differing in carbohydrate cellularity and amount similarly reduced visceral fat in people with obesity - a randomized controlled trial (CARBFUNC). (ekstern lenke)
- Kari Strøno Wagner-Larsen; Njål Lura; Ankush Gulati et al. (2025). MRI delta radiomics during chemoradiotherapy for prognostication in locally advanced cervical cancer. (ekstern lenke)
- Sigmund Ytre-Hauge; Julie Andrea Dybvik; Arvid Lundervold et al. (2018). Preoperative tumor texture analysis on MRI predicts high-risk disease and reduced survival in endometrial cancer. (ekstern lenke)
- Kristine Eldevik Fasmer; Ankush Gulati; Julie Andrea Dybvik et al. (2020). Preoperative 18F-FDG PET/CT tumor markers outperform MRI-based markers for the prediction of lymph node metastases in primary endometrial cancer. (ekstern lenke)
- Boel Johnsen; Kristine Eldevik Fasmer; Kjetil Boye Pedersen et al. (2018). Added value of 18F-FDG PET-CT in staging of Ewing sarcoma in children and young adults. (ekstern lenke)
- Erling Andre Høivik; Erlend Hodneland; Julie Andrea Dybvik et al. (2021). A radiogenomics application for prognostic profiling of endometrial cancer. (ekstern lenke)
- Kari Strøno Wagner-Larsen; Erlend Hodneland; Kristine Eldevik Fasmer et al. (2023). MRI-based radiomic signatures for pretreatment prognostication in cervical cancer. (ekstern lenke)
- Hilde Renate Engerud; Kirsten Øvergaard Hope; Hege Fredriksen Berg et al. (2019). Plasma growth differentiation factor-15 is an independent marker for aggressive disease in endometrial cancer. (ekstern lenke)
- Agnes Jørgensen Eide; Mari Kyllesø Halle; Njål Lura et al. (2023). Visceral fat percentage for prediction of outcome in uterine cervical cancer. (ekstern lenke)
- Havjin Jacob; Julie Andrea Dybvik; Sigmund Ytre-Hauge et al. (2021). An mri-based radiomic prognostic index predicts poor outcome and specific genetic alterations in endometrial cancer. (ekstern lenke)
- Anna Berg; Kristine Eldevik Fasmer; Karen Klepsland Mauland et al. (2016). Tissue and imaging biomarkers for hypoxia predict poor outcome in endometrial cancer. (ekstern lenke)
- Kristine Eldevik Fasmer; Ankush Gulati; Sunniva Lindås et al. (2025). Predicting aggressive disease and poor outcome in endometrial cancer using preoperative [18F]FDG PET primary tumor radiomics. (ekstern lenke)
- Kristine Eldevik Fasmer; Jostein Sæterstøl; Maria Beate Svanes Ljunggren et al. (2025). Abdominal fat distribution in endometrial cancer: from diagnosis to follow-up. (ekstern lenke)
- Anna Berg; Ankush Gulati; Sigmund Ytre-Hauge et al. (2017). Preoperative imaging markers and PDZ-binding kinase tissue expression predict low-risk disease in endometrial hyperplasias and low grade cancers. (ekstern lenke)
- Erlend Hodneland; Julie Andrea Dybvik; Kari Strøno Wagner-Larsen et al. (2021). Automated segmentation of endometrial cancer on MR images using deep learning. (ekstern lenke)
- Njål Lura; Kari Strøno Wagner-Larsen; Stian Torkildson Ryste et al. (2025). Tumor ADC value predicts outcome and yields refined prognostication in uterine cervical cancer. (ekstern lenke)
- Mohammed Ahmed Alamin Yousif Yassin; Kamal Babikeir Eln Mustafa; Zhe Xing et al. (2017). A copolymer scaffold functionalized with nanodiamond particles enhances osteogenic metabolic activity and bone regeneration. (ekstern lenke)
- Mari Kyllesø Halle; Erlend Hodneland; Kari Strøno Wagner-Larsen et al. (2024). Radiomic profiles improve prognostication and reveal targets for therapy in cervical cancer. (ekstern lenke)
- Hege Fredriksen Berg; Zhenlin Ju; Madeleine Myrvold et al. (2020). Development of prediction models for lymph node metastasis in endometrioid endometrial carcinoma. (ekstern lenke)
- Hannah Donkers; Kristine Eldevik Fasmer; John Mcgrane et al. (2021). The role of sarcopenic obesity in high-grade endometrial cancer. (ekstern lenke)
- Astrid Børretzen; Lars Anders Rokne Reisæter; Anders Ringheim et al. (2023). Microvascular proliferation is associated with high tumour blood flow by mpMRI and disease progression in primary prostate cancer. (ekstern lenke)
- Elin Strand; Ingvild Løberg Tangen; Kristine Eldevik Fasmer et al. (2019). Blood metabolites associate with prognosis in endometrial cancer. (ekstern lenke)
- Kristine Eldevik Fasmer; Atle Bjørnerud; Sigmund Ytre-Hauge et al. (2018). Preoperative quantitative dynamic contrast-enhanced MRI and diffusion-weighted imaging predict aggressive disease in endometrial cancer. (ekstern lenke)
- Heidi Espedal; Kristine Eldevik Fasmer; Hege Fredriksen Berg et al. (2024). MRI radiomics captures early treatment response in patient-derived organoid endometrial cancer mouse models. (ekstern lenke)
- Willem Jan van Weelden; Kristine Eldevik Fasmer; Ingvild Løberg Tangen et al. (2019). Impact of body mass index and fat distribution on sex steroid levels in endometrial carcinoma: A retrospective study. (ekstern lenke)
- Tina Fonnes; Jone Trovik; Per-Henrik D. Edqvist et al. (2018). Asparaginase-like protein 1 expression in curettage independently predicts lymph node metastasis in endometrial carcinoma: a multicentre study. (ekstern lenke)
- Gonda F.J. Konings; Niina Saarinen; Bert Delvoux et al. (2018). Development of an image-guided orthotopic xenograft mouse model of endometrial cancer with controllable estrogen exposure. (ekstern lenke)
- Boel Johnsen; Kristine Eldevik Fasmer; Kjetil Boye Pedersen et al. (2016). Estimated cumulative radiation dose received by diagnostic imaging during staging and treatment of operable Ewing sarcoma 2005–2012. (ekstern lenke)
- Tina Fonnes; Elin Strand; Kristine Eldevik Fasmer et al. (2020). Near-Infrared Fluorescent Imaging for Monitoring of Treatment Response in Endometrial Carcinoma Patient-Derived Xenograft Models. (ekstern lenke)
- David Erik Forsse; Ingvild Løberg Tangen; Kristine Eldevik Fasmer et al. (2019). Blood steroid levels predict survival in endometrial cancer and reflect tumor estrogen signaling. (ekstern lenke)
- Heidi Espedal; Hege Fredriksen Berg; Tina Fonnes et al. (2021). Feasibility and utility of MRI and dynamic 18F-FDG-PET in an orthotopic organoid-based patient-derived mouse model of endometrial cancer. (ekstern lenke)
- Heidi Espedal; Jenny Margrethe Lyngstad; Hege Fredriksen Berg et al. (2025). Evaluation of early chemotherapy response by combining static- and dynamic [<sup>18</sup>F]FDG-PET with diffusion-weighted MRI in subcutaneous patient-derived endometrial cancer mouse models. (ekstern lenke)
- Terje Sundstrøm; Heidi Espedal; Patrick N. Harter et al. (2015). Melanoma brain metastasis is independent of lactate dehydrogenase A expression. (ekstern lenke)
- Julie Andrea Dybvik; Kristine Eldevik Fasmer; Sigmund Ytre-Hauge et al. (2022). MRI-assessed tumor-free distance to serosa predicts deep myometrial invasion and poor outcome in endometrial cancer. (ekstern lenke)
- Ingvild Løberg Tangen; Kristine Eldevik Fasmer; Gonda F Konings et al. (2018). Blood steroids are associated with prognosis and fat distribution in endometrial cancer. (ekstern lenke)
- Hannah Donkers; Kristine Eldevik Fasmer; John Mcgrane et al. (2021). Obesity and visceral fat: Survival impact in high-grade endometrial cancer. (ekstern lenke)
- Nuria Eritja; Mariona Jove; Kristine Eldevik Fasmer et al. (2017). Tumour-microenvironmental blood flow determines a metabolomic signature identifying lysophospholipids and resolvin D as biomarkers in endometrial cancer patients. (ekstern lenke)
- Kristine Eldevik Fasmer; Erlend Hodneland; Julie Andrea Dybvik et al. (2020). Whole-volume tumor MRI radiomics for prognostic modeling in endometrial cancer. (ekstern lenke)
- Kristine Eldevik Fasmer; Ankush Gulati; Julie Andrea Dybvik et al. (2022). Preoperative pelvic MRI and 2-[18F]FDG PET/CT for lymph node staging and prognostication in endometrial cancer—time to revisit current imaging guidelines?. (ekstern lenke)
Vitenskapelig litteraturgjennomgang
- Martin Biermann; Thomas Schwarzlmüller; Kristine Eldevik Fasmer et al. (2013). Is there a role for PET-CT and SPECT-CT in pediatric oncology?. (ekstern lenke)
- Heidi Espedal; Tina Fonnes; Kristine Eldevik Fasmer et al. (2019). Imaging of preclinical endometrial cancer models for monitoring tumor progression and response to targeted therapy. (ekstern lenke)