Browsing UiS Brage by Author "Kurz, Kathinka Dæhli"
Now showing items 1-15 of 15
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Artifacts on Magnetic Resonance Imaging from Electronic Identification Enablement in Silicone Gel Implants Are Not Negligible
Kurz, Kathinka Dæhli; Kallevåg, Øystein; Austrått, Kenneth; Styr, Bodil Margrethe; Leiknes, Jon Bjarne; Krøger, Pål (Peer reviewed; Journal article, 2021)Breast implants filled with silicone gel are used worldwide for cosmetic reasons, or breast reconstruction following risk-reducing or therapeutic mastectomy. The importance of identifiable implants is undeniable. A recent ... -
Artificial intelligence in BreastScreen Norway: a retrospective analysis of a cancer-enriched sample including 1254 breast cancer cases
Koch, Henrik Wethe; Larsen, Marthe; Bartsch, Hauke; Kurz, Kathinka Dæhli; Hofvind, Solveig Sand-Hanssen (Peer reviewed; Journal article, 2023-03)Objectives To compare results of selected performance measures in mammographic screening for an artificial intelligence (AI) system versus independent double reading by radiologists. Methods In this retrospective ... -
Automatic AI-Driven segmentation of Acute Ischemic Stroke Regions with CT Perfusion Images
Tomasetti, Luca (PhD thesis UiS;, Doctoral thesis, 2023)This thesis investigates artificial intelligence (AI) methodologies to automatically delineate ischemic areas of brain Computed Tomography Perfusion (CTP) scans acquired at hospital admission in patients suspected of acute ... -
Butterfly glioblastoma: Clinical characteristics, treatment strategies and outcomes in a population-based cohort
Bjorland, Line; Kurz, Kathinka Dæhli; Fluge, Øystein; Gilje, Bjørnar; Mahesparan, Rupavathana; Sætran, Hege Aase; Ushakova, Anastasia; Farbu, Elisabeth (Peer reviewed; Journal article, 2022)Butterfly glioblastoma is a rare subgroup of glioblastoma with a bihemispheric tumor crossing the corpus callosum, and is associated with a dismal prognosis. Prognostic factors are previously sparsely described and optimal ... -
CT Perfusion is All We Need: 4D CNN Segmentation of Penumbra and Core in Patients With Suspected Acute Ischemic Stroke
Tomasetti, Luca; Engan, Kjersti; Høllesli, Liv Jorunn; Kurz, Kathinka Dæhli; Khanmohammadi, Mahdieh (Peer reviewed; Journal article, 2023)Stroke is the second leading cause of death worldwide, and around 87 % of strokes are ischemic strokes. Accurate and rapid prediction techniques for identifying ischemic regions, including dead tissue (core) and potentially ... -
Estimating cardiac output from coronary CT angiography: an individualized compartment model in comparison to the Stewart–Hamilton method
Leiknes, Jon Bjarne; Hiorth, Aksel; Havnen, Jorunn; Greve, Ole Jacob; Kurz, Kathinka Dæhli; Larsen, Alf Inge (Peer reviewed; Journal article, 2023)Background: Attenuation is correlated with the concentration of contrast medium (CM) in the arteries. The cardiac output (CO) affects the concentration of CM in the circulatory system; therefore, CO affects the time–density ... -
Impact of extent of resection on outcome from glioblastoma using the RANO resect group classification system: a retrospective, population-based cohort study
Bjorland, Line; Mahesparan, Rupavathana; Fluge, Øystein; Gilje, Bjørnar; Kurz, Kathinka Dæhli; Farbu, Elisabeth (Peer reviewed; Journal article, 2023)Background Extent of resection (EOR) is associated with survival in glioblastoma. A standardized classification for EOR was lacking until a system was recently proposed by the response assessment in neuro-oncology (RANO) ... -
Machine learning algorithms vs. thresholding to segment ischemic regions in patients with acute ischemic stroke
Tomasetti, Luca; Høllesli, Liv Jorunn; Engan, Kjersti; Kurz, Kathinka Dæhli; Kurz, Martin Wilhelm; Khanmohammadi, Mahdieh (Peer reviewed; Journal article, 2021-07)Objective: Computed tomography (CT) scan is a fast and widely used modality for early assessment in patients with symptoms of a cerebral ischemic stroke. CT perfusion (CTP) is often added to the protocol and is used by ... -
Metric based virtual simulation training for endovascular thrombectomy improves interventional neuroradiologists’ simulator performance
Schneider, Magnus Sundgot; Sandve, Knut Olav Lende; Kurz, Kathinka Dæhli; Dalen, Ingvild; Ospel, Johanna; Goyal, Mayank; Kurz, Friedrich Martin Wilhelm; Fjetland, Lars (Peer reviewed; Journal article, 2022)Objective Metric based virtual reality simulation training may enhance the capability of interventional neuroradiologists (INR) to perform endovascular thrombectomy. As pilot for a national simulation study we examined ... -
Multi-input segmentation of damaged brain in acute ischemic stroke patients using slow fusion with skip connection
Tomasetti, Luca; Khanmohammadi, Mahdieh; Engan, Kjersti; Høllesli, Liv Jorunn; Kurz, Kathinka Dæhli (Peer reviewed; Journal article, 2022-03)Time is a fundamental factor during stroke treatments. A fast, automatic approach that segmentsthe ischemic regions helps treatment decisions. In clinical use today, a set of color-coded parametric maps generated from ... -
Segmentation of infarcted regions in Perfusion CT images by 3D deep learning
Tomasetti, Luca (Masteroppgave/UIS-TN-IDE/2019;, Master thesis, 2019-06)This thesis explores different Convolutional Neural Network (CNN) approaches to classify and segment infarcted regions from images taken through a Computed Tomography Perfusion (CTP) from patients of the Stavanger’s hospital ... -
Simulation-based team-training in acute stroke: Is it safe to speed up?
Høllesli, Liv Jorunn; Ajmi, Soffien Chadli; Kurz, Friedrich Martin Wilhelm; Tysland, Thomas Bailey; Hagir, Morten; Dalen, Ingvild; Qvindesland, Sigrun Anna; Ersdal, Hege Langli; Kurz, Kathinka Dæhli (Peer reviewed; Journal article, 2022)Background In acute ischemic stroke (AIS), rapid treatment with intravenous thrombolysis (IVT) is crucial for good clinical outcome. Weekly simulation-based team-training of the stroke treatment team was implemented, ... -
Stroke Mimics and In Depth Analysis of Computed Tomography Perfusion in Patients with Acute Ischemic Stroke
Høllesli, Liv Jorunn (PhD thesis UiS;, Doctoral thesis, 2024)Globally, neurological disorders are the leading cause of disability-adjusted life years (DALYs) and the second leading cause of death1. Cerebral stroke is a major contributor to this burden, being the second leading cause ... -
Thrombectomy in large vessel occlusion stroke—Does age matter?
Rezai Kallaj, Mehdi; Dalen, Ingvild; Advani, Rajiv; Fjetland, Lars; Kurz, Kathinka Dæhli; Sandve, Knut Olav Lende; Kurz, Friedrich Martin Wilhelm (Peer reviewed; Journal article, 2022)Objectives Endovascular treatment (EVT) is the gold standard treatment for emergent large vessel occlusion (LVO). The benefit of EVT for emergent LVO in elderly patients (>80 years old) is still debated as they have been ... -
Volume and Visual Field Defects in Occipital Stroke: The NOR-OCCIP Study
Tharaldsen, Ane Roushan; Kurz, Kathinka Dæhli; Kurz, Martin; Midelfart, Anna; Sand, Kristin Modalsli; Dalen, Ingvild; Hoff, Jana Midelfart (Peer reviewed; Journal article, 2023-08)Introduction. The majority of patients with occipital infarcts display homonymous visual field defects (VFD), with negative implications on activities of daily living and quality of life. To overcome the disability, better ...