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Baseline (18)F-FDG Metabolic Tumor Volume Predicts Response to Rituximab Induction in Post-transplant Lymphoproliferative Disorders: A Multi-institutional Retrospective Study

Post-transplant lymphoproliferative disorder (PTLD) is a rare complication of immunosuppression. Sequential treatment is commonly proposed, combining induction with rituximab (R-induction) followed by either continuation of treatment or addition of chemotherapy depending on response. Response to R-i...

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Autores principales: Morland, David, Kanagaratnam, Lukshe, Hubelé, Fabrice, Toussaint, Elise, Choquet, Sylvain, Kas, Aurélie, Caquot, Pierre-Ambroise, Haioun, Corinne, Itti, Emmanuel, Leprêtre, Stéphane, Decazes, Pierre, Bijou, Fontanet, Schwartz, Paul, Jacquet, Caroline, Chauchet, Adrien, Matuszak, Julien, Kamar, Nassim, Payoux, Pierre, Durot, Eric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9875954/
https://www.ncbi.nlm.nih.gov/pubmed/36713354
http://dx.doi.org/10.1097/HS9.0000000000000833
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author Morland, David
Kanagaratnam, Lukshe
Hubelé, Fabrice
Toussaint, Elise
Choquet, Sylvain
Kas, Aurélie
Caquot, Pierre-Ambroise
Haioun, Corinne
Itti, Emmanuel
Leprêtre, Stéphane
Decazes, Pierre
Bijou, Fontanet
Schwartz, Paul
Jacquet, Caroline
Chauchet, Adrien
Matuszak, Julien
Kamar, Nassim
Payoux, Pierre
Durot, Eric
author_facet Morland, David
Kanagaratnam, Lukshe
Hubelé, Fabrice
Toussaint, Elise
Choquet, Sylvain
Kas, Aurélie
Caquot, Pierre-Ambroise
Haioun, Corinne
Itti, Emmanuel
Leprêtre, Stéphane
Decazes, Pierre
Bijou, Fontanet
Schwartz, Paul
Jacquet, Caroline
Chauchet, Adrien
Matuszak, Julien
Kamar, Nassim
Payoux, Pierre
Durot, Eric
author_sort Morland, David
collection PubMed
description Post-transplant lymphoproliferative disorder (PTLD) is a rare complication of immunosuppression. Sequential treatment is commonly proposed, combining induction with rituximab (R-induction) followed by either continuation of treatment or addition of chemotherapy depending on response. Response to R-induction, often assessed by CT scan, is a major predictor of overall survival (OS). The aim of the study was to analyze predictive factors of R-induction response, including total metabolic tumor volume (TMTV), and investigate the role of (18)F-FDG PET/CT in response assessment. This retrospective multicenter study is based on patients with PTLD included in the K-VIROGREF cohort. Only patients treated by R-induction with a baseline (18)F-FDG PET/CT were included. Response to R-induction was assessed by (18)F-FDG PET/CT. The optimal threshold of TMTV for rituximab response was determined using receiver operating characteristic curves. Univariate and multivariate analyses were conducted to identify predictive factors of response. A total of 67 patients were included. Survival characteristics were similar to those previously reported: the complete response rate to R-induction was 30%, the 3-year OS estimate was 66%, and the treatment-related mortality was 4%. The optimal threshold for TMTV to predict R-induction response was 135 cm(3). The response rate to R-induction was 38% in the 21 patients with TMTV ≥ 135 cm(3) and 72% in the 46 patients with TMTV < 135 cm(3). TMTV was a significant predictor of response, both at univariate and multivariate analyses (odd ratios = 3.71, P = 0.022). Baseline TMTV is predictive of response to R-induction. Early assessment of patient response is feasible with (18)F-FDG PET/CT.
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spelling pubmed-98759542023-01-26 Baseline (18)F-FDG Metabolic Tumor Volume Predicts Response to Rituximab Induction in Post-transplant Lymphoproliferative Disorders: A Multi-institutional Retrospective Study Morland, David Kanagaratnam, Lukshe Hubelé, Fabrice Toussaint, Elise Choquet, Sylvain Kas, Aurélie Caquot, Pierre-Ambroise Haioun, Corinne Itti, Emmanuel Leprêtre, Stéphane Decazes, Pierre Bijou, Fontanet Schwartz, Paul Jacquet, Caroline Chauchet, Adrien Matuszak, Julien Kamar, Nassim Payoux, Pierre Durot, Eric Hemasphere Article Post-transplant lymphoproliferative disorder (PTLD) is a rare complication of immunosuppression. Sequential treatment is commonly proposed, combining induction with rituximab (R-induction) followed by either continuation of treatment or addition of chemotherapy depending on response. Response to R-induction, often assessed by CT scan, is a major predictor of overall survival (OS). The aim of the study was to analyze predictive factors of R-induction response, including total metabolic tumor volume (TMTV), and investigate the role of (18)F-FDG PET/CT in response assessment. This retrospective multicenter study is based on patients with PTLD included in the K-VIROGREF cohort. Only patients treated by R-induction with a baseline (18)F-FDG PET/CT were included. Response to R-induction was assessed by (18)F-FDG PET/CT. The optimal threshold of TMTV for rituximab response was determined using receiver operating characteristic curves. Univariate and multivariate analyses were conducted to identify predictive factors of response. A total of 67 patients were included. Survival characteristics were similar to those previously reported: the complete response rate to R-induction was 30%, the 3-year OS estimate was 66%, and the treatment-related mortality was 4%. The optimal threshold for TMTV to predict R-induction response was 135 cm(3). The response rate to R-induction was 38% in the 21 patients with TMTV ≥ 135 cm(3) and 72% in the 46 patients with TMTV < 135 cm(3). TMTV was a significant predictor of response, both at univariate and multivariate analyses (odd ratios = 3.71, P = 0.022). Baseline TMTV is predictive of response to R-induction. Early assessment of patient response is feasible with (18)F-FDG PET/CT. Lippincott Williams & Wilkins 2023-01-24 /pmc/articles/PMC9875954/ /pubmed/36713354 http://dx.doi.org/10.1097/HS9.0000000000000833 Text en Copyright © 2023 the Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the European Hematology Association. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution-Non Commercial-No Derivatives License 4.0 (CCBY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , where it is permissible to download and share the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.
spellingShingle Article
Morland, David
Kanagaratnam, Lukshe
Hubelé, Fabrice
Toussaint, Elise
Choquet, Sylvain
Kas, Aurélie
Caquot, Pierre-Ambroise
Haioun, Corinne
Itti, Emmanuel
Leprêtre, Stéphane
Decazes, Pierre
Bijou, Fontanet
Schwartz, Paul
Jacquet, Caroline
Chauchet, Adrien
Matuszak, Julien
Kamar, Nassim
Payoux, Pierre
Durot, Eric
Baseline (18)F-FDG Metabolic Tumor Volume Predicts Response to Rituximab Induction in Post-transplant Lymphoproliferative Disorders: A Multi-institutional Retrospective Study
title Baseline (18)F-FDG Metabolic Tumor Volume Predicts Response to Rituximab Induction in Post-transplant Lymphoproliferative Disorders: A Multi-institutional Retrospective Study
title_full Baseline (18)F-FDG Metabolic Tumor Volume Predicts Response to Rituximab Induction in Post-transplant Lymphoproliferative Disorders: A Multi-institutional Retrospective Study
title_fullStr Baseline (18)F-FDG Metabolic Tumor Volume Predicts Response to Rituximab Induction in Post-transplant Lymphoproliferative Disorders: A Multi-institutional Retrospective Study
title_full_unstemmed Baseline (18)F-FDG Metabolic Tumor Volume Predicts Response to Rituximab Induction in Post-transplant Lymphoproliferative Disorders: A Multi-institutional Retrospective Study
title_short Baseline (18)F-FDG Metabolic Tumor Volume Predicts Response to Rituximab Induction in Post-transplant Lymphoproliferative Disorders: A Multi-institutional Retrospective Study
title_sort baseline (18)f-fdg metabolic tumor volume predicts response to rituximab induction in post-transplant lymphoproliferative disorders: a multi-institutional retrospective study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9875954/
https://www.ncbi.nlm.nih.gov/pubmed/36713354
http://dx.doi.org/10.1097/HS9.0000000000000833
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