• 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. (Journal article; Peer reviewed, 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 ...
    • MRI-assessed tumor-free distance to serosa predicts deep myometrial invasion and poor outcome in endometrial cancer 

      Dybvik, Julie Andrea; Fasmer, Kristine Eldevik; Ytre-Hauge, Sigmund; Husby, Jenny Hild Aase; Salvesen, Øyvind; Stefansson, Ingunn Marie; Krakstad, Camilla; Trovik, Jone; Haldorsen, Ingfrid S. (Journal article; Peer reviewed, 2022)
      Objectives To explore the diagnostic accuracy of preoperative magnetic resonance imaging (MRI)-derived tumor measurements for the prediction of histopathological deep (≥ 50%) myometrial invasion (pDMI) and prognostication ...
    • An mri-based radiomic prognostic index predicts poor outcome and specific genetic alterations in endometrial cancer 

      Jacob, Havjin; Dybvik, Julie Andrea; Ytre-Hauge, Sigmund; Fasmer, Kristine E.; Høivik, Erling Andre; Trovik, Jone; Krakstad, Camilla; Haldorsen, Ingfrid S. (Journal article; Peer reviewed, 2021)
      Integrative tumor characterization linking radiomic profiles to corresponding gene expression profiles has the potential to identify specific genetic alterations based on non-invasive radiomic profiling in cancer. The aim ...
    • 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. (Journal article; Peer reviewed, 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 ...
    • A radiogenomics application for prognostic profiling of endometrial cancer 

      Høivik, Erling Andre; Hodneland, Erlend; Dybvik, Julie Andrea; Wagner-Larsen, Kari Strøno; Fasmer, Kristine Eldevik; Berg, Hege Fredriksen; Halle, Mari Kyllesø; Haldorsen, Ingfrid S.; Krakstad, Camilla (Journal article; Peer reviewed, 2021)
      Prognostication is critical for accurate diagnosis and tailored treatment in endometrial cancer (EC). We employed radiogenomics to integrate preoperative magnetic resonance imaging (MRI, n = 487 patients) with histologic-, ...
    • 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. (Journal article; Peer reviewed, 2021)
      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 ...