• 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 ...
    • Interobserver agreement and prognostic impact for MRI–based 2018 FIGO staging parameters in uterine cervical cancer 

      Wagner-Larsen, Kari Strøno; Lura, Njål Gjærde; Salvesen, Øyvind; Halle, Mari Kyllesø; Forsse, David Erik; Trovik, Jone; Smit, Noeska Natasja; Krakstad, Camilla; Haldorsen, Ingfrid S. (Peer reviewed; Journal article, 2022)
      Objectives To evaluate the interobserver agreement for MRI–based 2018 International Federation of Gynecology and Obstetrics (FIGO) staging parameters in patients with cervical cancer and assess the prognostic value of ...
    • 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 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 ...
    • What MRI-based tumor size measurement is best for predicting long-term survival in uterine cervical cancer? 

      Lura, Njål Gjærde; Wagner-Larsen, Kari Strøno; Forsse, David Erik; Trovik, Jone; Halle, Mari Kyllesø; Bertelsen, Bjørn; Salvesen, Øyvind; Woie, Kathrine; Krakstad, Camilla; Haldorsen, Ingfrid S. (Journal article; Peer reviewed, 2022)
    • 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 ...