Výsledky vyhledávání - "Anne K. Berthelsen"

Akademický článek

Deep learning for Dixon MRI-based attenuation correction in PET/MRI of head and neck cancer patients

Autor: Anders B. Olin, Adam E. Hansen, Jacob H. Rasmussen, Björn Jakoby, Anne K. Berthelsen, Claes N. Ladefoged, Andreas Kjær, Barbara M. Fischer, Flemming L. Andersen

Publikováno v: EJNMMI Physics, Vol 9, Iss 1, Pp 1-13 (2022)

Abstract Background Quantitative whole-body PET/MRI relies on accurate patient-specific MRI-based attenuation correction (AC) of PET, which is a non-trivial challenge, especially for the anatomically complex head and neck region. We used a deep learn

Externí odkaz: https://doaj.org/article/eb86041cd80847dc8a904949c03c03c1

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Akademický článek

Robustness and Generalizability of Deep Learning Synthetic Computed Tomography for Positron Emission Tomography/Magnetic Resonance Imaging–Based Radiation Therapy Planning of Patients With Head and Neck Cancer

Autor: Anders B. Olin, MSc, PhD, Christopher Thomas, MPhys, MSc, Adam E. Hansen, MSc, PhD, Jacob H. Rasmussen, MD, PhD, Georgios Krokos, MSc, PhD, Teresa Guerrero Urbano, PhD, FRCR, MRCPI, LMS, Andriana Michaelidou, MBBS, MSc, FRCR, MD, Björn Jakoby, MSc, PhD, Claes N. Ladefoged, MSc, PhD, Anne K. Berthelsen, MD, Katrin Håkansson, MSc, PhD, Ivan R. Vogelius, MSc, PhD, DMSc, Lena Specht, MD, PhD, DMSc, Sally F. Barrington, MBBS, MSc, FRCP, FRCR, MD, Flemming L. Andersen, MSc, PhD, Barbara M. Fischer, MD, PhD, DMSc

Publikováno v: Advances in Radiation Oncology, Vol 6, Iss 6, Pp 100762- (2021)

Purpose: Radiotherapy planning based only on positron emission tomography/magnetic resonance imaging (PET/MRI) lacks computed tomography (CT) information required for dose calculations. In this study, a previously developed deep learning model for cr

Externí odkaz: https://doaj.org/article/9150efecbfb245fc843b7348e9d49ade

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First-in-Human PET Imaging of Tissue Factor in Patients with Primary and Metastatic Cancers Using 18F-labeled Active-Site Inhibited Factor VII (18F-ASIS):Potential as Companion Diagnostic

Autor: Mathias Loft, Camilla Christensen, Malene M. Clausen, Esben A. Carlsen, Carsten P. Hansen, Niels Kroman, Seppo W. Langer, Claus Høgdall, Jacob Madsen, Nic Gillings, Carsten H. Nielsen, Thomas L. Klausen, Søren Holm, Annika Loft, Anne K. Berthelsen, Andreas Kjaer

Publikováno v: Loft, M, Christensen, C, Clausen, M M, Carlsen, E A, Hansen, C P, Kroman, N, Langer, S W, Hoegdall, C, Madsen, J, Gillings, N, Nielsen, C H, Klausen, T L, Holm, S, Loft, A, Berthelsen, A K & Kjaer, A 2022, ' First-in-Human PET Imaging of Tissue Factor in Patients with Primary and Metastatic Cancers Using 18F-labeled Active-Site Inhibited Factor VII (18F-ASIS) : Potential as Companion Diagnostic ', Journal of nuclear medicine : official publication, Society of Nuclear Medicine, vol. 63, no. 12, pp. 1871-1879 . https://doi.org/10.2967/jnumed.122.264068
J Nucl Med

Tissue factor (TF) expression in cancers correlates with poor prognosis. Recently, the first TF-targeted therapy was approved by the US Food and Drug Administration for cervical cancer. To unfold the potential of TF-targeted therapies, correct strati

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e00adcace1e9eacc058dc6ef78f73518
https://curis.ku.dk/ws/files/358554026/First_in_Human_PET_Imaging_of_Tissue_Factor_in_Patients_with_Primary_and_Metastatic_Cancers.pdf

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Deep learning for Dixon MRI-based attenuation correction in PET/MRI of head and neck cancer patients

Autor: Anders B. Olin, Adam E. Hansen, Jacob H. Rasmussen, Björn Jakoby, Anne K. Berthelsen, Claes N. Ladefoged, Andreas Kjær, Barbara M. Fischer, Flemming L. Andersen

Publikováno v: Olin, A B, Hansen, A E, Rasmussen, J H, Jakoby, B, Berthelsen, A K, Ladefoged, C N, Kjær, A, Fischer, B M & Andersen, F L 2022, ' Deep learning for Dixon MRI-based attenuation correction in PET/MRI of head and neck cancer patients ', EJNMMI Physics, vol. 9, no. 1, 20 . https://doi.org/10.1186/s40658-022-00449-z

Background Quantitative whole-body PET/MRI relies on accurate patient-specific MRI-based attenuation correction (AC) of PET, which is a non-trivial challenge, especially for the anatomically complex head and neck region. We used a deep learning model

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b994ea3c10b7b81ec46a41432f209e90
https://pubmed.ncbi.nlm.nih.gov/35294629

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Clinical utility of

Autor: Trine K, Lauridsen, Kasper K, Iversen, Nikolaj, Ihlemann, Philip, Hasbak, Annika, Loft, Anne K, Berthelsen, Anders, Dahl, Danijela, Dejanovic, Elisabeth, Albrecht-Beste, Jann, Mortensen, Andreas, Kjær, Henning, Bundgaard, Niels Eske, Bruun

Publikováno v: The international journal of cardiovascular imaging. 33(5)

The extra-cardiac work-up in infective endocarditis (IE) comprises a search for primary and secondary infective foci. Whether

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::d029fcfd5c6a75cd2c2ba10fa972fca8
https://pubmed.ncbi.nlm.nih.gov/28050751

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Head-to-Head Comparison of

Autor: Camilla B, Johnbeck, Ulrich, Knigge, Annika, Loft, Anne K, Berthelsen, Jann, Mortensen, Peter, Oturai, Seppo W, Langer, Dennis R, Elema, Andreas, Kjaer

Publikováno v: Journal of nuclear medicine : official publication, Society of Nuclear Medicine. 58(3)

Somatostatin receptor imaging is a valuable tool in the diagnosis, follow-up, and treatment planning of neuroendocrine tumor (NET). PET-based tracers using

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=pmid________::1c1cebd78aa8b193c6e483f4639f234f
https://pubmed.ncbi.nlm.nih.gov/27660147

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