Zobrazeno 1 - 10
of 32
pro vyhledávání: '"Jakoba J, Eertink"'
Autor:
Jakoba J. Eertink, Idris Bahce, John C. Waterton, Marc C. Huisman, Ronald Boellaard, Andreas Wunder, Andrea Thiele, Catharina W. Menke-van der Houven van Oordt
Publikováno v:
Frontiers in Medicine, Vol 11 (2024)
Immune-based treatment approaches are successfully used for the treatment of patients with cancer. While such therapies can be highly effective, many patients fail to benefit. To provide optimal therapy choices and to predict treatment responses, rel
Externí odkaz:
https://doaj.org/article/b1a23010f6ce4bedaedce8f56d996948
Autor:
Maria C. Ferrández, Sandeep S. V. Golla, Jakoba J. Eertink, Bart M. de Vries, Sanne E. Wiegers, Gerben J. C. Zwezerijnen, Simone Pieplenbosch, Louise Schilder, Martijn W. Heymans, Josée M. Zijlstra, Ronald Boellaard
Publikováno v:
EJNMMI Research, Vol 13, Iss 1, Pp 1-10 (2023)
Abstract Background Convolutional neural networks (CNNs), applied to baseline [18F]-FDG PET/CT maximum intensity projections (MIPs), show potential for treatment outcome prediction in diffuse large B-cell lymphoma (DLBCL). The aim of this study is to
Externí odkaz:
https://doaj.org/article/cbda86c527ec46e18d80e8f0c03767b8
Autor:
Maria C. Ferrández, Sandeep S. V. Golla, Jakoba J. Eertink, Bart M. de Vries, Pieternella J. Lugtenburg, Sanne E. Wiegers, Gerben J. C. Zwezerijnen, Simone Pieplenbosch, Lars Kurch, Andreas Hüttmann, Christine Hanoun, Ulrich Dührsen, Henrica C. W. de Vet, PETRA, Josée M. Zijlstra, Ronald Boellaard
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract Convolutional neural networks (CNNs) may improve response prediction in diffuse large B-cell lymphoma (DLBCL). The aim of this study was to investigate the feasibility of a CNN using maximum intensity projection (MIP) images from 18F-fluorod
Externí odkaz:
https://doaj.org/article/3b314a83aa2940e6ae107cea2b76e66d
Autor:
Jakoba J. Eertink, Martijn W. Heymans, Gerben J. C. Zwezerijnen, Josée M. Zijlstra, Henrica C. W. de Vet, Ronald Boellaard
Publikováno v:
EJNMMI Research, Vol 12, Iss 1, Pp 1-8 (2022)
Abstract Aim Clinical prediction models need to be validated. In this study, we used simulation data to compare various internal and external validation approaches to validate models. Methods Data of 500 patients were simulated using distributions of
Externí odkaz:
https://doaj.org/article/4455ff8241f04b09a4b0b5f5789a25b8
Autor:
Esther E. E. Drees, Julia Driessen, Gerben J. C. Zwezerijnen, Sandra A. W. M. Verkuijlen, Jakoba J. Eertink, Monique A. J. vanEijndhoven, Nils J. Groenewegen, Andrea Vallés‐Martí, Daphne deJong, Ronald Boellaard, Henrica C. W. deVet, Dirk M. Pegtel, Josée M. Zijlstra
Publikováno v:
eJHaem, Vol 3, Iss 3, Pp 908-912 (2022)
Abstract Blood‐based biomarkers are gaining interest for response evaluation in classical Hodgkin lymphoma (cHL). However, it is unknown how blood‐based biomarkers relate to quantitative 18F‐FDG‐PET features. We correlated extracellular vesic
Externí odkaz:
https://doaj.org/article/8a2200b23a984d21aa0f98dc54ac8e5b
Autor:
Maria C. Ferrández, Jakoba J. Eertink, Sandeep S. V. Golla, Sanne E. Wiegers, Gerben J. C. Zwezerijnen, Simone Pieplenbosch, Josée M. Zijlstra, Ronald Boellaard
Publikováno v:
EJNMMI Research, Vol 12, Iss 1, Pp 1-9 (2022)
Abstract Background [18F]FDG PET-based metabolic tumor volume (MTV) is a promising prognostic marker for lymphoma patients. The aim of this study is to assess the sensitivity of several MTV segmentation methods to variations in image reconstruction m
Externí odkaz:
https://doaj.org/article/cc1634d50ca343e2a842fb286dbb2c65
Autor:
Gerben J. C. Zwezerijnen, Jakoba J. Eertink, Maria C. Ferrández, Sanne E. Wiegers, Coreline N. Burggraaff, Pieternella J. Lugtenburg, Martijn W. Heymans, Henrica C. W. de Vet, Josée M. Zijlstra, Ronald Boellaard
Publikováno v:
Zwezerijnen, G J C, Eertink, J J, Ferrández, M C, Wiegers, S E, Burggraaff, C N, Lugtenburg, P J, Heymans, M W, de Vet, H C W, Zijlstra, J M & Boellaard, R 2023, ' Reproducibility of [18F]FDG PET/CT liver SUV as reference or normalisation factor ', European Journal of Nuclear Medicine and Molecular Imaging, vol. 50, no. 2, pp. 486-493 . https://doi.org/10.1007/s00259-022-05977-5
European Journal of Nuclear Medicine and Molecular Imaging, 50(2), 486-493. Springer Verlag
European Journal of Nuclear Medicine and Molecular Imaging, 50(2), 486-493. Springer-Verlag
European Journal of Nuclear Medicine and Molecular Imaging, 50(2), 486-493. Springer Verlag
European Journal of Nuclear Medicine and Molecular Imaging, 50(2), 486-493. Springer-Verlag
Introduction Although visual and quantitative assessments of [18F]FDG PET/CT studies typically rely on liver uptake value as a reference or normalisation factor, consensus or consistency in measuring [18F]FDG uptake is lacking. Therefore, we evaluate
Autor:
Maria C. Ferrández, Sandeep S. V. Golla, Jakoba J. Eertink, Bart M. de Vries, Pieternella. J. Lugtenburg, Sanne E. Wiegers, Gerben J. C. Zwezerijnen, Simone Pieplenbosch, Lars Kurch, Andreas Hüttmann, Christine Hanoun, Ulrich Dührsen, Henrica C.W. de Vet, Josée M. Zijlstra, Ronald Boellaard
Convolutional neural networks (CNNs) may improve response prediction in diffuse large B-cell lymphoma (DLBCL). The aim of this study was to investigate the feasibility of a CNN using maximum intensity projection (MIP) images from 18F-fluorodeoxygluco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::08f16f766b6e93d8f57d032fbe9aa2ec
https://doi.org/10.21203/rs.3.rs-2761494/v1
https://doi.org/10.21203/rs.3.rs-2761494/v1
Autor:
Elisabeth Pfaehler, Jakoba J Eertink, Otto S. Hoekstra, Bronno van der Holt, Josée M. Zijlstra, Tim van de Brug, G.J.C. Zwezerijnen, Ronald Boellaard, Henrica C.W. de Vet, Sanne E Wiegers, Pieternella J. Lugtenburg
Publikováno v:
European Journal of Nuclear Medicine and Molecular Imaging, 49(3), 932-942. Springer Verlag
Eertink, J J, van de Brug, T, Wiegers, S E, Zwezerijnen, G J C, Pfaehler, E A G, Lugtenburg, P J, van der Holt, B, de Vet, H C W, Hoekstra, O S, Boellaard, R & Zijlstra, J M 2022, ' F-18-FDG PET baseline radiomics features improve the prediction of treatment outcome in diffuse large B-cell lymphoma ', European Journal of Nuclear Medicine and Molecular Imaging, vol. 49, no. 3, pp. 932-942 . https://doi.org/10.1007/s00259-021-05480-3
European Journal of Nuclear Medicine and Molecular Imaging
European Journal of Nuclear Medicine and Molecular Imaging, 49(3), 932-942. SPRINGER
European Journal of Nuclear Medicine and Molecular Imaging, 49(3), 932-942. Springer-Verlag
Eertink, J J, van de Brug, T, Wiegers, S E, Zwezerijnen, G J C, Pfaehler, E A G, Lugtenburg, P J, van der Holt, B, de Vet, H C W, Hoekstra, O S, Boellaard, R & Zijlstra, J M 2022, ' F-18-FDG PET baseline radiomics features improve the prediction of treatment outcome in diffuse large B-cell lymphoma ', European Journal of Nuclear Medicine and Molecular Imaging, vol. 49, no. 3, pp. 932-942 . https://doi.org/10.1007/s00259-021-05480-3
European Journal of Nuclear Medicine and Molecular Imaging
European Journal of Nuclear Medicine and Molecular Imaging, 49(3), 932-942. SPRINGER
European Journal of Nuclear Medicine and Molecular Imaging, 49(3), 932-942. Springer-Verlag
Purpose Accurate prognostic markers are urgently needed to identify diffuse large B-Cell lymphoma (DLBCL) patients at high risk of progression or relapse. Our purpose was to investigate the potential added value of baseline radiomics features to the
Autor:
Julia Driessen, Gerben J.C. Zwezerijnen, Heiko Schöder, Esther E.E. Drees, Marie José Kersten, Alison J. Moskowitz, Craig H. Moskowitz, Jakoba J. Eertink, Henrica C.W. de Vet, Otto S. Hoekstra, Josée M. Zijlstra, Ronald Boellaard
Publikováno v:
Driessen, J, Zwezerijnen, G J C, Schöder, H, Drees, E E E, Kersten, M J, Moskowitz, A J, Moskowitz, C H, Eertink, J J, Vet, H C W D, Hoekstra, O S, Zijlstra, J M & Boellaard, R 2022, ' The Impact of Semiautomatic Segmentation Methods on Metabolic Tumor Volume, Intensity, and Dissemination Radiomics in 18 F-FDG PET Scans of Patients with Classical Hodgkin Lymphoma ', Journal of nuclear medicine : official publication, Society of Nuclear Medicine, vol. 63, no. 9, pp. 1424-1430 . https://doi.org/10.2967/jnumed.121.263067, https://doi.org/10.2967/jnumed.121.263067
Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 63(9), 1424-1430
Journal of nuclear medicine, 63(9), 1424-1430. Society of Nuclear Medicine Inc.
Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 63(9), 1424-1430
Journal of nuclear medicine, 63(9), 1424-1430. Society of Nuclear Medicine Inc.
Consensus about a standard segmentation method to derive metabolic tumor volume (MTV) in classical Hodgkin lymphoma (cHL) is lacking, and it is unknown how different segmentation methods influence quantitative PET features. Therefore, we aimed to eva