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[(18)F]FDG PET/MRI enables early chemotherapy response prediction in pancreatic ductal adenocarcinoma

PURPOSE: In this prospective exploratory study, we evaluated the feasibility of [(18)F]fluorodeoxyglucose ([(18)F]FDG) PET/MRI-based chemotherapy response prediction in pancreatic ductal adenocarcinoma at two weeks upon therapy onset. MATERIAL AND METHODS: In a mixed cohort, seventeen patients treat...

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Autores principales: Harder, Felix N., Jungmann, Friederike, Kaissis, Georgios A., Lohöfer, Fabian K., Ziegelmayer, Sebastian, Havel, Daniel, Quante, Michael, Reichert, Maximillian, Schmid, Roland M., Demir, Ihsan Ekin, Friess, Helmut, Wildgruber, Moritz, Siveke, Jens, Muckenhuber, Alexander, Steiger, Katja, Weichert, Wilko, Rauscher, Isabel, Eiber, Matthias, Makowski, Marcus R., Braren, Rickmer F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8319249/
https://www.ncbi.nlm.nih.gov/pubmed/34322781
http://dx.doi.org/10.1186/s13550-021-00808-4
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author Harder, Felix N.
Jungmann, Friederike
Kaissis, Georgios A.
Lohöfer, Fabian K.
Ziegelmayer, Sebastian
Havel, Daniel
Quante, Michael
Reichert, Maximillian
Schmid, Roland M.
Demir, Ihsan Ekin
Friess, Helmut
Wildgruber, Moritz
Siveke, Jens
Muckenhuber, Alexander
Steiger, Katja
Weichert, Wilko
Rauscher, Isabel
Eiber, Matthias
Makowski, Marcus R.
Braren, Rickmer F.
author_facet Harder, Felix N.
Jungmann, Friederike
Kaissis, Georgios A.
Lohöfer, Fabian K.
Ziegelmayer, Sebastian
Havel, Daniel
Quante, Michael
Reichert, Maximillian
Schmid, Roland M.
Demir, Ihsan Ekin
Friess, Helmut
Wildgruber, Moritz
Siveke, Jens
Muckenhuber, Alexander
Steiger, Katja
Weichert, Wilko
Rauscher, Isabel
Eiber, Matthias
Makowski, Marcus R.
Braren, Rickmer F.
author_sort Harder, Felix N.
collection PubMed
description PURPOSE: In this prospective exploratory study, we evaluated the feasibility of [(18)F]fluorodeoxyglucose ([(18)F]FDG) PET/MRI-based chemotherapy response prediction in pancreatic ductal adenocarcinoma at two weeks upon therapy onset. MATERIAL AND METHODS: In a mixed cohort, seventeen patients treated with chemotherapy in neoadjuvant or palliative intent were enrolled. All patients were imaged by [(18)F]FDG PET/MRI before and two weeks after onset of chemotherapy. Response per RECIST1.1 was then assessed at 3 months [(18)F]FDG PET/MRI-derived parameters (MTV(50%), TLG(50%), MTV(2.5), TLG(2.5), SUV(max), SUV(peak), ADC(max), ADC(mean) and ADC(min)) were assessed, using multiple t-test, Man–Whitney-U test and Fisher’s exact test for binary features. RESULTS: At 72 ± 43 days, twelve patients were classified as responders and five patients as non-responders. An increase in ∆MTV(50%) and ∆ADC (≥ 20% and 15%, respectively) and a decrease in ∆TLG(50%) (≤ 20%) at 2 weeks after chemotherapy onset enabled prediction of responders and non-responders, respectively. Parameter combinations (∆TLG(50%) and ∆ADC(max) or ∆MTV(50%) and ∆ADC(max)) further improved discrimination. CONCLUSION: Multiparametric [(18)F]FDG PET/MRI-derived parameters, in particular indicators of a change in tumor glycolysis and cellularity, may enable very early chemotherapy response prediction. Further prospective studies in larger patient cohorts are recommended to their clinical impact. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13550-021-00808-4.
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spelling pubmed-83192492021-08-02 [(18)F]FDG PET/MRI enables early chemotherapy response prediction in pancreatic ductal adenocarcinoma Harder, Felix N. Jungmann, Friederike Kaissis, Georgios A. Lohöfer, Fabian K. Ziegelmayer, Sebastian Havel, Daniel Quante, Michael Reichert, Maximillian Schmid, Roland M. Demir, Ihsan Ekin Friess, Helmut Wildgruber, Moritz Siveke, Jens Muckenhuber, Alexander Steiger, Katja Weichert, Wilko Rauscher, Isabel Eiber, Matthias Makowski, Marcus R. Braren, Rickmer F. EJNMMI Res Original Research PURPOSE: In this prospective exploratory study, we evaluated the feasibility of [(18)F]fluorodeoxyglucose ([(18)F]FDG) PET/MRI-based chemotherapy response prediction in pancreatic ductal adenocarcinoma at two weeks upon therapy onset. MATERIAL AND METHODS: In a mixed cohort, seventeen patients treated with chemotherapy in neoadjuvant or palliative intent were enrolled. All patients were imaged by [(18)F]FDG PET/MRI before and two weeks after onset of chemotherapy. Response per RECIST1.1 was then assessed at 3 months [(18)F]FDG PET/MRI-derived parameters (MTV(50%), TLG(50%), MTV(2.5), TLG(2.5), SUV(max), SUV(peak), ADC(max), ADC(mean) and ADC(min)) were assessed, using multiple t-test, Man–Whitney-U test and Fisher’s exact test for binary features. RESULTS: At 72 ± 43 days, twelve patients were classified as responders and five patients as non-responders. An increase in ∆MTV(50%) and ∆ADC (≥ 20% and 15%, respectively) and a decrease in ∆TLG(50%) (≤ 20%) at 2 weeks after chemotherapy onset enabled prediction of responders and non-responders, respectively. Parameter combinations (∆TLG(50%) and ∆ADC(max) or ∆MTV(50%) and ∆ADC(max)) further improved discrimination. CONCLUSION: Multiparametric [(18)F]FDG PET/MRI-derived parameters, in particular indicators of a change in tumor glycolysis and cellularity, may enable very early chemotherapy response prediction. Further prospective studies in larger patient cohorts are recommended to their clinical impact. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13550-021-00808-4. Springer Berlin Heidelberg 2021-07-28 /pmc/articles/PMC8319249/ /pubmed/34322781 http://dx.doi.org/10.1186/s13550-021-00808-4 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Research
Harder, Felix N.
Jungmann, Friederike
Kaissis, Georgios A.
Lohöfer, Fabian K.
Ziegelmayer, Sebastian
Havel, Daniel
Quante, Michael
Reichert, Maximillian
Schmid, Roland M.
Demir, Ihsan Ekin
Friess, Helmut
Wildgruber, Moritz
Siveke, Jens
Muckenhuber, Alexander
Steiger, Katja
Weichert, Wilko
Rauscher, Isabel
Eiber, Matthias
Makowski, Marcus R.
Braren, Rickmer F.
[(18)F]FDG PET/MRI enables early chemotherapy response prediction in pancreatic ductal adenocarcinoma
title [(18)F]FDG PET/MRI enables early chemotherapy response prediction in pancreatic ductal adenocarcinoma
title_full [(18)F]FDG PET/MRI enables early chemotherapy response prediction in pancreatic ductal adenocarcinoma
title_fullStr [(18)F]FDG PET/MRI enables early chemotherapy response prediction in pancreatic ductal adenocarcinoma
title_full_unstemmed [(18)F]FDG PET/MRI enables early chemotherapy response prediction in pancreatic ductal adenocarcinoma
title_short [(18)F]FDG PET/MRI enables early chemotherapy response prediction in pancreatic ductal adenocarcinoma
title_sort [(18)f]fdg pet/mri enables early chemotherapy response prediction in pancreatic ductal adenocarcinoma
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8319249/
https://www.ncbi.nlm.nih.gov/pubmed/34322781
http://dx.doi.org/10.1186/s13550-021-00808-4
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