• Automated segmentation of endometrial cancer on MR images using deep learning 

      Hodneland, Erlend; Dybvik, Julie Andrea; Wagner-Larsen, Kari Strøno; Solteszova, Veronika; Zanna, Antonella; Fasmer, Kristine Eldevik; Krakstad, Camilla; Lundervold, Arvid; Lundervold, Alexander Selvikvåg; Salvesen, Øyvind; Erickson, Bradley J.; Haldorsen, Ingfrid S (Peer reviewed; Journal article, 2021)
      Preoperative MR imaging in endometrial cancer patients provides valuable information on local tumor extent, which routinely guides choice of surgical procedure and adjuvant therapy. Furthermore, whole-volume tumor analyses ...
    • Expression of L1CAM in curettage or high L1CAM level in preoperative blood samples predicts lymph node metastases and poor outcome in endometrial cancer patients 

      Tangen, Ingvild Løberg; Kopperud, Reidun Kristin; Visser, Nicole C.M.; Staff, Anne Cathrine; Tingulstad, Solveig; Marcickiewicz, Janusz; Amant, Frédéric; Bjørge, Line; Pijnenborg, Johanna M.A.; Salvesen, Helga; Werner, Henrica Maria Johanna; Trovik, Jone; Krakstad, Camilla (Journal article; Peer reviewed, 2017)
      Background: Several studies have identified L1 cell adhesion molecule (L1CAM) as a strong prognostic marker in endometrial cancer. To further underline the clinical usefulness of this biomarker, we investigated L1CAM as ...
    • High visceral fat percentage is associated with poor outcome in endometrial cancer 

      Mauland, Karen Klepsland; Eng, Øyvin Andre Solberg; Ytre-Hauge, Sigmund; Tangen, Ingvild Løberg; Berg, Anna; Salvesen, Helga; Salvesen, Øyvind; Krakstad, Camilla; Trovik, Jone; Høivik, Erling Andre; Werner, Henrica Maria Johanna; Mellgren, Gunnar; Haldorsen, Ingfrid S. (Journal article; Peer reviewed, 2017)
      Despite evidence of increased endometrial cancer (EC) risk in obese women, the impact of obesity on clinical and histological phenotype is poorly understood. This study explored abdominal fat volumes and fat distribution ...
    • Preoperative 18F-FDG PET/CT tumor markers outperform MRI-based markers for the prediction of lymph node metastases in primary endometrial cancer 

      Fasmer, Kristine Eldevik; Gulati, Ankush; Dybvik, Julie Andrea; Ytre-Hauge, Sigmund; Salvesen, Øyvind; Trovik, Jone; Krakstad, Camilla; Haldorsen, Ingfrid S. (Peer reviewed; Journal article, 2020)
      Objectives To compare the diagnostic accuracy of preoperative 18F-FDG PET/CT and MRI tumor markers for prediction of lymph node metastases (LNM) and aggressive disease in endometrial cancer (EC). Methods Preoperative ...
    • Tumour texture features from preoperative CT predict high-risk disease in endometrial cancer 

      Ytre-Hauge, Sigmund; Salvesen, Øyvind; Krakstad, Camilla; Trovik, Jone; Haldorsen, Ingfrid S. (Peer reviewed; Journal article, 2020)
      BACKGROUND To enable more individualised treatment of endometrial cancer, improved methods for preoperative tumour characterization are warranted. Texture analysis is a method for quantification of heterogeneity in images, ...
    • Whole-volume tumor MRI radiomics for prognostic modeling in endometrial cancer 

      Fasmer, Kristine Eldevik; Hodneland, Erlend; Dybvik, Julie Andrea; Wagner-Larsen, Kari Strøno; Trovik, Jone; Salvesen, Øyvind; Krakstad, Camilla; Haldorsen, Ingfrid S. (Peer reviewed; Journal article, 2020)
      Background In endometrial cancer (EC), preoperative pelvic MRI is recommended for local staging, while final tumor stage and grade are established by surgery and pathology. MRI‐based radiomic tumor profiling may aid in ...