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Baseline and early digital [(18)F]FDG PET/CT and multiparametric MRI contain promising features to predict response to neoadjuvant therapy in locally advanced rectal cancer patients: a pilot study

In this pilot study, we investigated the feasibility of response prediction using digital [(18)F]FDG PET/computed tomography (CT) and multiparametric MRI before, during, and after neoadjuvant chemoradiation therapy in locally advanced rectal cancer (LARC) patients and aimed to select the most promis...

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Autores principales: Vuijk, Floris A., Feshtali Shahbazi, Shirin, Noortman, Wyanne A., van Velden, Floris H.P., Dibbets-Schneider, Petra, Marinelli, Andreas W.K.S., Neijenhuis, Peter A., Schmitz, Roderick, Ghariq, Eidrees, Velema, Laura A., Peters, Femke P., Smit, Frits, Peeters, Koen C.M.J., Temmink, Sofieke J.D., Crobach, Stijn A.L.P., Putter, Hein, Vahrmeijer, Alexander L., Hilling, Denise E., de Geus-Oei, Lioe-Fee
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10246883/
https://www.ncbi.nlm.nih.gov/pubmed/37132268
http://dx.doi.org/10.1097/MNM.0000000000001703
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author Vuijk, Floris A.
Feshtali Shahbazi, Shirin
Noortman, Wyanne A.
van Velden, Floris H.P.
Dibbets-Schneider, Petra
Marinelli, Andreas W.K.S.
Neijenhuis, Peter A.
Schmitz, Roderick
Ghariq, Eidrees
Velema, Laura A.
Peters, Femke P.
Smit, Frits
Peeters, Koen C.M.J.
Temmink, Sofieke J.D.
Crobach, Stijn A.L.P.
Putter, Hein
Vahrmeijer, Alexander L.
Hilling, Denise E.
de Geus-Oei, Lioe-Fee
author_facet Vuijk, Floris A.
Feshtali Shahbazi, Shirin
Noortman, Wyanne A.
van Velden, Floris H.P.
Dibbets-Schneider, Petra
Marinelli, Andreas W.K.S.
Neijenhuis, Peter A.
Schmitz, Roderick
Ghariq, Eidrees
Velema, Laura A.
Peters, Femke P.
Smit, Frits
Peeters, Koen C.M.J.
Temmink, Sofieke J.D.
Crobach, Stijn A.L.P.
Putter, Hein
Vahrmeijer, Alexander L.
Hilling, Denise E.
de Geus-Oei, Lioe-Fee
author_sort Vuijk, Floris A.
collection PubMed
description In this pilot study, we investigated the feasibility of response prediction using digital [(18)F]FDG PET/computed tomography (CT) and multiparametric MRI before, during, and after neoadjuvant chemoradiation therapy in locally advanced rectal cancer (LARC) patients and aimed to select the most promising imaging modalities and timepoints for further investigation in a larger trial. METHODS: Rectal cancer patients scheduled to undergo neoadjuvant chemoradiation therapy were prospectively included in this trial, and underwent multiparametric MRI and [(18)F]FDG PET/CT before, 2 weeks into, and 6–8 weeks after chemoradiation therapy. Two groups were created based on pathological tumor regression grade, that is, good responders (TRG1-2) and poor responders (TRG3-5). Using binary logistic regression analysis with a cutoff value of P ≤ 0.2, promising predictive features for response were selected. RESULTS: Nineteen patients were included. Of these, 5 were good responders, and 14 were poor responders. Patient characteristics of these groups were similar at baseline. Fifty-seven features were extracted, of which 13 were found to be promising predictors of response. Baseline [T2: volume, diffusion-weighted imaging (DWI): apparent diffusion coefficient (ADC) mean, DWI: difference entropy], early response (T2: volume change, DWI: ADC mean change) and end-of-treatment presurgical evaluation MRI (T2: gray level nonuniformity, DWI: inverse difference normalized, DWI: gray level nonuniformity normalized), as well as baseline (metabolic tumor volume, total lesion glycolysis) and early response PET/CT (Δ maximum standardized uptake value, Δ peak standardized uptake value corrected for lean body mass), were promising features. CONCLUSION: Both multiparametric MRI and [(18)F]FDG PET/CT contain promising imaging features to predict response to neoadjuvant chemoradiotherapy in LARC patients. A future larger trial should investigate baseline, early response, and end-of-treatment presurgical evaluation MRI and baseline and early response PET/CT.
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spelling pubmed-102468832023-06-08 Baseline and early digital [(18)F]FDG PET/CT and multiparametric MRI contain promising features to predict response to neoadjuvant therapy in locally advanced rectal cancer patients: a pilot study Vuijk, Floris A. Feshtali Shahbazi, Shirin Noortman, Wyanne A. van Velden, Floris H.P. Dibbets-Schneider, Petra Marinelli, Andreas W.K.S. Neijenhuis, Peter A. Schmitz, Roderick Ghariq, Eidrees Velema, Laura A. Peters, Femke P. Smit, Frits Peeters, Koen C.M.J. Temmink, Sofieke J.D. Crobach, Stijn A.L.P. Putter, Hein Vahrmeijer, Alexander L. Hilling, Denise E. de Geus-Oei, Lioe-Fee Nucl Med Commun Original Articles In this pilot study, we investigated the feasibility of response prediction using digital [(18)F]FDG PET/computed tomography (CT) and multiparametric MRI before, during, and after neoadjuvant chemoradiation therapy in locally advanced rectal cancer (LARC) patients and aimed to select the most promising imaging modalities and timepoints for further investigation in a larger trial. METHODS: Rectal cancer patients scheduled to undergo neoadjuvant chemoradiation therapy were prospectively included in this trial, and underwent multiparametric MRI and [(18)F]FDG PET/CT before, 2 weeks into, and 6–8 weeks after chemoradiation therapy. Two groups were created based on pathological tumor regression grade, that is, good responders (TRG1-2) and poor responders (TRG3-5). Using binary logistic regression analysis with a cutoff value of P ≤ 0.2, promising predictive features for response were selected. RESULTS: Nineteen patients were included. Of these, 5 were good responders, and 14 were poor responders. Patient characteristics of these groups were similar at baseline. Fifty-seven features were extracted, of which 13 were found to be promising predictors of response. Baseline [T2: volume, diffusion-weighted imaging (DWI): apparent diffusion coefficient (ADC) mean, DWI: difference entropy], early response (T2: volume change, DWI: ADC mean change) and end-of-treatment presurgical evaluation MRI (T2: gray level nonuniformity, DWI: inverse difference normalized, DWI: gray level nonuniformity normalized), as well as baseline (metabolic tumor volume, total lesion glycolysis) and early response PET/CT (Δ maximum standardized uptake value, Δ peak standardized uptake value corrected for lean body mass), were promising features. CONCLUSION: Both multiparametric MRI and [(18)F]FDG PET/CT contain promising imaging features to predict response to neoadjuvant chemoradiotherapy in LARC patients. A future larger trial should investigate baseline, early response, and end-of-treatment presurgical evaluation MRI and baseline and early response PET/CT. Lippincott Williams & Wilkins 2023-07 2023-05-03 /pmc/articles/PMC10246883/ /pubmed/37132268 http://dx.doi.org/10.1097/MNM.0000000000001703 Text en Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the Creative Commons Attribution License 4.0 (CCBY (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Vuijk, Floris A.
Feshtali Shahbazi, Shirin
Noortman, Wyanne A.
van Velden, Floris H.P.
Dibbets-Schneider, Petra
Marinelli, Andreas W.K.S.
Neijenhuis, Peter A.
Schmitz, Roderick
Ghariq, Eidrees
Velema, Laura A.
Peters, Femke P.
Smit, Frits
Peeters, Koen C.M.J.
Temmink, Sofieke J.D.
Crobach, Stijn A.L.P.
Putter, Hein
Vahrmeijer, Alexander L.
Hilling, Denise E.
de Geus-Oei, Lioe-Fee
Baseline and early digital [(18)F]FDG PET/CT and multiparametric MRI contain promising features to predict response to neoadjuvant therapy in locally advanced rectal cancer patients: a pilot study
title Baseline and early digital [(18)F]FDG PET/CT and multiparametric MRI contain promising features to predict response to neoadjuvant therapy in locally advanced rectal cancer patients: a pilot study
title_full Baseline and early digital [(18)F]FDG PET/CT and multiparametric MRI contain promising features to predict response to neoadjuvant therapy in locally advanced rectal cancer patients: a pilot study
title_fullStr Baseline and early digital [(18)F]FDG PET/CT and multiparametric MRI contain promising features to predict response to neoadjuvant therapy in locally advanced rectal cancer patients: a pilot study
title_full_unstemmed Baseline and early digital [(18)F]FDG PET/CT and multiparametric MRI contain promising features to predict response to neoadjuvant therapy in locally advanced rectal cancer patients: a pilot study
title_short Baseline and early digital [(18)F]FDG PET/CT and multiparametric MRI contain promising features to predict response to neoadjuvant therapy in locally advanced rectal cancer patients: a pilot study
title_sort baseline and early digital [(18)f]fdg pet/ct and multiparametric mri contain promising features to predict response to neoadjuvant therapy in locally advanced rectal cancer patients: a pilot study
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10246883/
https://www.ncbi.nlm.nih.gov/pubmed/37132268
http://dx.doi.org/10.1097/MNM.0000000000001703
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