Browsing Bergen Open Research Archive by Author "Wagner-Larsen, Kari Strøno"

Now showing items 1-9 of 9

    • A 10-gene prognostic signature points to LIMCH1 and HLA-DQB1 as important players in aggressive cervical cancer disease 

      Halle, Mari Kyllesø; Sødal, Marte; Forsse, David Erik; Engerud, Hilde Renate; Woie, Kathrine; Lura, Njål Gjærde; Wagner-Larsen, Kari Strøno; Trovik, Jone; Bertelsen, Bjørn; Haldorsen, Ingfrid S.; Ojesina, Akinyemi I.; Krakstad, Camilla (Journal article; Peer reviewed, 2021)
      Background: Advanced cervical cancer carries a particularly poor prognosis, and few treatment options exist. Identification of effective molecular markers is vital to improve the individualisation of treatment. We investigated ...

    • 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 ...

    • Fully Automatic Whole-Volume Tumor Segmentation in Cervical Cancer 

      Hodneland, Erlend; Kaliyugarasan, Sathiesh Kumar; Wagner-Larsen, Kari Strøno; Lura, Njål Gjærde; Andersen, Erling; Bartsch, Hauke; Smit, Noeska Natasja; Halle, Mari Kyllesø; Krakstad, Camilla; Lundervold, Alexander Selvikvåg; Haldorsen, Ingfrid S. (Journal article; Peer reviewed, 2022-05-11)
      Uterine cervical cancer (CC) is the most common gynecologic malignancy worldwide. Whole-volume radiomic profiling from pelvic MRI may yield prognostic markers for tailoring treatment in CC. However, radiomic profiling ...

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

    • MuSIC: Multi-Sequential Interactive Co-Registration for Cancer Imaging Data based on Segmentation Masks 

      Eichner, Tanja; Mörth, Eric; Wagner-Larsen, Kari Strøno; Lura, Njål Gjærde; Haldorsen, Ingfrid Helene Salvesen; Gröller, Eduard; Bruckner, Stefan; Smit, Noeska Natasja (Journal article; Peer reviewed, 2022)
      In gynecologic cancer imaging, multiple magnetic resonance imaging (MRI) sequences are acquired per patient to reveal different tissue characteristics. However, after image acquisition, the anatomical structures can be ...

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

    • 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-, ...

    • 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, 2022-06-17)
      Background: Tumor size assessment by MRI is central for staging uterine cervical cancer. However, the optimal role of MRI-derived tumor measurements for prognostication is still unclear. Material and methods: This ...

    • 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 ...