An artificial intelligence method using FDG PET to predict treatment outcome in diffuse large B cell lymphoma patients

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

Reproducibility of [18F]FDG PET/CT liver SUV as reference or normalisation factor

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

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

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::44473a8bda570371214044a9d16462b6
https://doi.org/10.1007/s00259-022-05977-5

F-18-FDG PET baseline radiomics features improve the prediction of treatment outcome in diffuse large B-cell lymphoma

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

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

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b29c46a783902048ea039d0a387b677f
https://doi.org/10.1007/s00259-021-05480-3

Combatting the effect of image reconstruction settings on lymphoma [F-18]FDG PET metabolic tumor volume assessment using various segmentation methods

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, 12(1). Springer Berlin
Ferrandez, M C, Eertink, J J, Golla, S S V, Wiegers, S E, Zwezerijnen, G J C, Pieplenbosch, S, Zijlstra, J M & Boellaard, R 2022, ' Combatting the effect of image reconstruction settings on lymphoma [ 18 F]FDG PET metabolic tumor volume assessment using various segmentation methods ', EJNMMI Research, vol. 12, no. 1, 44 . https://doi.org/10.1186/s13550-022-00916-9, https://doi.org/10.1186/s13550-022-00916-9
EJNMMI Research, 12(1):44. Springer Berlin

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 methods an

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3c3efdbbd219f9e84e2f0001af59549e
https://research.vumc.nl/en/publications/ff2db1d3-70a3-43b3-b9e6-e45afd23838d

Quantitative Radiomics Features in Diffuse Large B-Cell Lymphoma: Does Segmentation Method Matter?

Autor: Jakoba J. Eertink, Elisabeth A.G. Pfaehler, Sanne E. Wiegers, Tim van, de Brug, Pieternella J. Lugtenburg, Otto S. Hoekstra, Josée M. Zijlstra, Henrica C.W. de Vet, Ronald Boellaard

Publikováno v: Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 63(3), 389-395
J Nucl Med
Eertink, J J, Pfaehler, E A G, Wiegers, S E, van de Brug, T, Lugtenburg, P J, Hoekstra, O S, Zijlstra, J M, de Vet, H C W & Boellaard, R 2022, ' Quantitative Radiomics Features in Diffuse Large B-Cell Lymphoma : Does Segmentation Method Matter? ', Journal of nuclear medicine : official publication, Society of Nuclear Medicine, vol. 63, no. 3, pp. 389-395 . https://doi.org/10.2967/jnumed.121.262117
Journal of Nuclear Medicine, 63(3), 389-395. Society of Nuclear Medicine and Molecular Imaging

Radiomics features may predict outcome in diffuse large B-cell lymphoma (DLBCL). Currently, multiple segmentation methods are used to calculate metabolic tumor volume (MTV). We assessed the influence of segmentation method on the discriminative power

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e22e2e7dd40dba6187403d7c6d4061a3
https://research.vumc.nl/en/publications/6b05bc6d-e96f-429b-a8e4-73aa8ef1c14e