Blar i NTNU Open på forfatter "Barkhof, Frederik"

Viser treff 1-7 av 7

    • The effect of gadolinium-based contrast-agents on automated brain atrophy measurements by FreeSurfer in patients with multiple sclerosis 

      Lie, Ingrid Anne; Kerklingh, Emma; Wesnes, Kristin; van Nederpelt, David R.; Brouwer, Iman; Torkildsen, Øivind; Myhr, Kjell-Morten; Barkhof, Frederik; Bø, Lars; Vrenken, Hugo (Peer reviewed; Journal article, 2022)
      Objective - To determine whether reliable brain atrophy measures can be obtained from post-contrast 3D T1-weighted images in patients with multiple sclerosis (MS) using FreeSurfer. Methods - Twenty-two patients with MS ...

    • The Effect of Smoking on Long-term Gray Matter Atrophy and Clinical Disability in Patients with Relapsing-Remitting Multiple Sclerosis 

      Lie, Ingrid Anne; Wesnes, Kristin; Kvistad, Silje S.; Brouwer, Iman; Wergeland, Stig; Holmøy, Trygve; Midgard, Rune; Bru, Alla Nikolajevna S; Edland, Astrid; Eikeland, Randi; Gosal, Sonia; Harbo, Hanne-Cathrin Flinstad; Kleveland, Grethe; Sørenes, Yvonne; Øksendal, Nina; Barkhof, Frederik; Vrenken, Hugo; Myhr, Kjell-Morten; Bø, Lars; Torkildesen, Øivind (Peer reviewed; Journal article, 2022)
      Background and Objectives - The relationship between smoking, long-term brain atrophy, and clinical disability in patients with multiple sclerosis (MS) is unclear. Here, we assessed long-term effects of smoking by evaluating ...

    • Glioblastoma Surgery Imaging-Reporting and Data System: Validation and Performance of the Automated Segmentation Task 

      Bouget, David Nicolas Jean-Marie; Eijgelaar, Roelant; Pedersen, André; Kommers, Ivar; Ardon, Hilko; Barkhof, Frederik; Bello, Lorenzo; Berger, Mitchel S.; Nibali, Marco Conti; Furtner, Julia; Fyllingen, Even Hovig; Hervey-Jumper, Shawn; Idema, Albert J. S.; Kiesel, Barbara; Kloet, Alfred; Mandonnet, Emmanuel; Müller, Domenique M. J.; Robe, Pierre; Rossi, Marco; Sagberg, Lisa Millgård; Sciortino, Tommaso; van den Brink, Wimar A.; Wagemakers, Michiel; Widhalm, Georg; Witte, Marnix G.; Zwinderman, Aeilko H.; Reinertsen, Ingerid; Hamer, Philip C De Witt; Solheim, Ole (Journal article; Peer reviewed, 2021)
      For patients with presumed glioblastoma, essential tumor characteristics are determined from preoperative MR images to optimize the treatment strategy. This procedure is time-consuming and subjective, if performed by crude ...

    • Glioblastoma Surgery Imaging—Reporting and Data System: Standardized Reporting of Tumor Volume, Location, and Resectability Based on Automated Segmentations 

      Kommers, Ivar; Bouget, David Nicolas Jean-Marie; Pedersen, André; Eijgelaar, Roelant; Ardon, Hilko; Barkhof, Frederik; Bello, Lorenzo; Berger, Mitchel S.; Nibali, Marco Conti; Furtner, Julia; Fyllingen, Even Hovig; Hervey-Jumper, Shawn; Idema, Albert J. S.; Kiesel, Barbara; Kloet, Alfred; Mandonnet, Emmanuel; Müller, Domenique M. J.; Robe, Pierre; Rossi, Marco; Sagberg, Lisa Millgård; Sciortino, Tommaso; van den Brink, Wimar A.; Wagemakers, Michiel; Widhalm, Georg; Witte, Marnix G.; Zwinderman, Aeilko H.; Reinertsen, Ingerid; Solheim, Ole; De Witt Hamer, Philip C. (Peer reviewed; Journal article, 2021)
      Treatment decisions for patients with presumed glioblastoma are based on tumor characteristics available from a preoperative MR scan. Tumor characteristics, including volume, location, and resectability, are often estimated ...

    • Preoperative Brain Tumor Imaging: Models and Software for Segmentation and Standardized Reporting 

      Bouget, David Nicolas Jean-Mar; Pedersen, André; Jakola, Asgeir S.; Kavouridis, Vasileios; Emblem, Kyrre Eeg; Eijgelaar, Roelant S; Kommers, Ivar; Ardon, Hilko; Barkhof, Frederik; Bello, Lorenzo; Berger, Mitchel S.; Nibali, Marco Conti; Furtner, Julia; Hervey-Jumper, Shawn; Idema, Albert J. S.; Kiesel, Barbara; Kloet, Alfred; Mandonnet, Emmanuel; Müller, Domenique M. J.; Robe, Pierre A; Rossi, Marco; Sciortino, Tommaso; van den Brink, Wimar A.; Wagemakers, Michiel; Widhalm, Georg; Witte, Marnix G.; Zwinderman, Aeilko H.; Hamer, Philip C De Witt; Solheim, Ole; Reinertsen, Ingerid (Peer reviewed; Journal article, 2022)
      For patients suffering from brain tumor, prognosis estimation and treatment decisions are made by a multidisciplinary team based on a set of preoperative MR scans. Currently, the lack of standardized and automatic methods ...

    • Segmentation of glioblastomas in early post-operative multi-modal MRI with deep neural networks 

      Helland, Ragnhild Holden; Ferles, Alexandros; Pedersen, Andre; Kommers, Ivar; Ardon, Hilko; Barkhof, Frederik; Bello, Lorenzo; Berger, Mitchel S.; Dunås, Tora; Nibali, Marco Conti; Furtner, Julia; Hervey-Jumper, Shawn; Idema, Albert J. S.; Kiesel, Barbara; Tewari, Rishi Nandoe; Mandonnet, Emmanuel; Müller, Domenique M. J.; Robe, Pierre A.; Rossi, Marco; Sagberg, Lisa Millgård; Sciortino, Tommaso; Aalders, Tom; Wagemakers, Michiel; Widhalm, Georg; Witte, Marnix G.; Zwinderman, Aeilko H.; Majewska, Paulina Luiza; Jakola, Asgeir Store; Solheim, Ole Skeidsvoll; Hamer, Philip C. De Witt; Reinertsen, Ingerid; Eijgelaar, Roelant S.; Bouget, David Nicolas Jean-Marie (Peer reviewed; Journal article, 2023)
      Extent of resection after surgery is one of the main prognostic factors for patients diagnosed with glioblastoma. To achieve this, accurate segmentation and classification of residual tumor from post-operative MR images ...

    • Serum neurofilament as a predictor of 10-year grey matter atrophy and clinical disability in multiple sclerosis: a longitudinal study 

      Lie, Ingrid Anne; Kacar, Sezgi; Wesnes, Kristin; Brouwer, Iman; Kvistad, Silje S.; Wergeland, Stig; Holmøy, Trygve; Midgard, Rune; Bru, Alla Nikolajevna S; Edland, Astrid; Eikeland, Randi; Gosal, Sonia; Harbo, Hanne-Cathrin Flinstad; Kleveland, Grethe; Sørenes, Yvonne; Øksendal, Nina; Varhaug, Kristin Nielsen; Vedeler, Christian Alexander; Barkhof, Frederik; Teunissen, Charlotte E.; Bø, Lars; Torkildsen, Øivind Fredvik Grytten; Myhr, Kjell-Morten; Vrenken, Hugo (Peer reviewed; Journal article, 2022)
      Background - The predictive value of serum neurofilament light chain (sNfL) on long-term prognosis in multiple sclerosis (MS) is still unclear. Objective - Investigate the relation between sNfL levels over a 2-year period ...