Blar i Bergen Open Research Archive på forfatter "Wagner-Larsen, Kari Strøno"
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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 ... -
Clinicopathological and radiological stratification within FIGO 2018 stages improves risk-prediction in cervical cancer
Halle, Mari Kyllesø; Bozickovic, Olivera; Forsse, David Erik; Wagner-Larsen, Kari Strøno; Gold, Rose Meng; Lura, Njål; Woie, Kathrine; Bertelsen, Bjørn; Haldorsen, Ingfrid S.; Krakstad, Camilla (Journal article; Peer reviewed, 2024)Objective: Assess the added prognostic value of the updated International Federation of Gynecology and Obstetrics (FIGO) 2018 staging system, and to identify clinicopathological and radiological biomarkers for improved ... -
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 ... -
Impact of MRI radiomic feature normalization for prognostic modelling in uterine endometrial and cervical cancers
Hodneland, Erlend; Andersen, Erling; Wagner-Larsen, Kari Strøno; Dybvik, Julie Andrea; Lura, Njål; Fasmer, Kristine Eldevik; Halle, Mari Kyllesø; Krakstad, Camilla; Haldorsen, Ingfrid S. (Journal article; Peer reviewed, 2024)Widespread clinical use of MRI radiomic tumor profiling for prognostication and treatment planning in cancers faces major obstacles due to limitations in standardization of radiomic features. The purpose of the current ... -
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 ... -
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. (Journal article; Peer reviewed, 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 ... -
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-, ... -
Radiomic profiles improve prognostication and reveal targets for therapy in cervical cancer
Halle, Mari Kyllesø; Hodneland, Erlend; Wagner-Larsen, Kari Strøno; Lura, Njål; Fasmer, Kristine Eldevik; Berg, Hege Fredriksen; Stokowy, Tomasz; Srivastava, Aashish; Forsse, David Erik; Høivik, Erling André; Woie, Kathrine; Bertelsen, Bjørn; Krakstad, Camilla; Haldorsen, Ingfrid S. (Journal article; Peer reviewed, 2024)Cervical cancer (CC) is a major global health problem with 570,000 new cases and 266,000 deaths annually. Prognosis is poor for advanced stage disease, and few effective treatments exist. Preoperative diagnostic imaging ... -
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. (Journal article; Peer reviewed, 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, 2022-06-17)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 ...