• Both brain size and biological sex contribute to variation in white matter microstructure in middle-aged healthy adults 

      Eikenes, Live; Visser, Eelke; Vangberg, Torgil Riise; Håberg, Asta (Journal article; Tidsskriftartikkel; Peer reviewed, 2022-10-03)
      Whether head size and/or biological sex influence proxies of white matter (WM) microstructure such as fractional anisotropy (FA) and mean diffusivity (MD) remains controversial. Diffusion tensor imaging (DTI) indices are also associated with age, but there are large discrepancies in the spatial distribution and timeline of age-related differences reported. The aim of this study was to evaluate the ...
    • Diagnostic accuracy of anti-3-[<sup>18</sup>F]-FACBC PET/MRI in gliomas 

      Karlberg, Anna Maria; Pedersen, Lars Kjelsberg; Vindstad, Benedikte Emilie; Skjulsvik, Anne Jarstein; Johansen, Håkon; Solheim, Ole Skeidsvoll; Skogen, Karoline; Kvistad, Kjell Arne; Bogsrud, Trond; Myrmel, Kristin Smistad; Giskeødegård, Guro F.; Ingebrigtsen, Tor; Berntsen, Erik Magnus; Eikenes, Live (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-09-30)
      Purpose - The primary aim was to evaluate whether anti-3-[<sup>18</sup>F]FACBC PET combined with conventional MRI correlated better with histomolecular diagnosis (reference standard) than MRI alone in glioma diagnostics. The ability of anti-3-[<sup>18</sup>F]FACBC to differentiate between molecular and histopathological entities in gliomas was also evaluated.<p> <p>Methods - In this prospective ...
    • The effect of white matter hyperintensities on regional brain volumes and white matter microstructure, a population-based study in HUNT 

      Vangberg, Torgil Riise; Eikenes, Live; Håberg, Asta K. (Journal article; Tidsskriftartikkel; Peer reviewed, 2019-09-04)
      Even though age-related white matter hyperintensities (WMH) begin to emerge in middle age, their effect on brain micro- and macrostructure in this age group is not fully elucidated. We have examined how presence of WMH and load of WMH affect regional brain volumes and microstructure in a validated, representative general population sample of 873 individuals between 50 and 66 years. Presence of WMH ...
    • Predicting Regions of Local Recurrence in Glioblastomas Using Voxel-Based Radiomic Features of Multiparametric Postoperative MRI 

      Cepeda, Santiago; Luppino, Luigi Tommaso; Pérez-Núñez, Angel; Solheim, Ole Skeidsvoll; García-García, Sergio; Velasco-Casares, María; Karlberg, Anna Maria; Eikenes, Live; Sarabia, Rosario; Arrese, Ignacio; Zamora, Tomás; Gonzalez, Pedro; Jiménez-Roldán, Luis; Kuttner, Samuel (Journal article; Tidsskriftartikkel; Peer reviewed, 2023-03-22)
      The globally accepted surgical strategy in glioblastomas is removing the enhancing tumor. However, the peritumoral region harbors infiltration areas responsible for future tumor recurrence. This study aimed to evaluate a predictive model that identifies areas of future recurrence using a voxel-based radiomics analysis of magnetic resonance imaging (MRI) data. This multi-institutional study included ...
    • Quantitative PET/MR imaging of lung cancer in the presence of artifacts in the MR-based attenuation correction maps 

      Kuttner, Samuel; Lassen, Martin Lyngby; Øen, Silje Kjærnes; Sundset, Rune; Beyer, Thomas; Eikenes, Live (Journal article; Tidsskriftartikkel; Peer reviewed, 2019-04-13)
      <i>Background</i> - Positron emission tomography (PET)/magnetic resonance (MR) imaging may become increasingly important for assessing tumor therapy response. A prerequisite for quantitative PET/MR imaging is reliable and repeatable MR-based attenuation correction (AC).<p> <p><i>Purpose</i> - To investigate the frequency and test–retest reproducibility of artifacts in MR-AC maps in a lung cancer ...
    • Unsupervised supervoxel-based lung tumor segmentation across patient scans in hybrid PET/MRI 

      Hansen, Stine; Kuttner, Samuel; Kampffmeyer, Michael; Markussen, Tom-Vegard; Sundset, Rune; Øen, Silje Kjærnes; Eikenes, Live; Jenssen, Robert (Journal article; Tidsskriftartikkel; Peer reviewed, 2020-11-29)
      Tumor segmentation is a crucial but difficult task in treatment planning and follow-up of cancerous patients. The challenge of automating the tumor segmentation has recently received a lot of attention, but the potential of utilizing hybrid positron emission tomography (PET)/magnetic resonance imaging (MRI), a novel and promising imaging modality in oncology, is still under-explored. Recent ...