Browsing NTNU Open by Author "Fasmer, Kristine Eldevik"

Now showing items 1-7 of 7

    • 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 ...

    • 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. (Peer reviewed; Journal article, 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 ...

    • MRI-based radiomic signatures for pretreatment prognostication in cervical cancer 

      Wagner-Larsen, Kari Strøno; Hodneland, Erlend; Fasmer, Kristine Eldevik; Lura, Njål; Woie, Kathrine; Bertelsen, Bjørn; Salvesen, Øyvind Olav; Halle, Mari Kyllesø; Smit, Noeska Natasja; Krakstad, Camilla; Haldorsen, Ingfrid S. (Peer reviewed; Journal article, 2023)
      Background Accurate pretherapeutic prognostication is important for tailoring treatment in cervical cancer (CC). Purpose To investigate whether pretreatment MRI-based radiomic signatures predict disease-specific ...

    • 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 ...

    • Preoperative pelvic MRI and 2-[18F]FDG PET/CT for lymph node staging and prognostication in endometrial cancer—time to revisit current imaging guidelines? 

      Fasmer, Kristine Eldevik; Gulati, Ankush; Dybvik, Julie Andrea; Wagner-Larsen, Kari Strøno; Lura, Njål Gjærde; Salvesen, Øyvind; Forsse, David Erik; Trovik, Jone; Pijnenborg, Johanna M. A.; Krakstad, Camilla; Haldorsen, Ingfrid S. (Peer reviewed; Journal article, 2022)
      Objective This study presents the diagnostic performance of four different preoperative imaging workups (IWs) for prediction of lymph node metastases (LNMs) in endometrial cancer (EC): pelvic MRI alone (IW1), MRI and ...

    • Visceral fat percentage for prediction of outcome in uterine cervical cancer 

      Eide, Agnes J.; Halle, Mari Kyllesø; Lura, Njål; Fasmer, Kristine Eldevik; Wagner-Larsen, Kari Strøno; Forsse, David Erik; Bertelsen, Bjørn; Salvesen, Øyvind Olav; Krakstad, Camilla; Haldorsen, Ingfrid S. (Peer reviewed; Journal article, 2023)
      Objective The prognostic role of adiposity in uterine cervical cancer (CC) is largely unknown. Abdominal fat distribution may better reflect obesity than body mass index. This study aims to describe computed tomography ...

    • 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 ...