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Predicting time to treatment in follicular lymphoma on watchful waiting using baseline metabolic tumour burden
PURPOSE: Asymptomatic patients with follicular lymphoma (FL) and a low tumour burden can be followed without initial therapy, a strategy called watchful waiting (WW). Prediction of the time to treatment (TTT) is still a challenge. We investigated the prognostic value of baseline total metabolic tumo...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer Berlin Heidelberg
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10314847/ https://www.ncbi.nlm.nih.gov/pubmed/35779106 http://dx.doi.org/10.1007/s00432-022-04138-3 |
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author | Leccisotti, Lucia Maccora, Daria Malafronte, Rosalia D’Alò, Francesco Maiolo, Elena Annunziata, Salvatore Rufini, Vittoria Giordano, Alessandro Hohaus, Stefan |
author_facet | Leccisotti, Lucia Maccora, Daria Malafronte, Rosalia D’Alò, Francesco Maiolo, Elena Annunziata, Salvatore Rufini, Vittoria Giordano, Alessandro Hohaus, Stefan |
author_sort | Leccisotti, Lucia |
collection | PubMed |
description | PURPOSE: Asymptomatic patients with follicular lymphoma (FL) and a low tumour burden can be followed without initial therapy, a strategy called watchful waiting (WW). Prediction of the time to treatment (TTT) is still a challenge. We investigated the prognostic value of baseline total metabolic tumour volume (TMTV) and whole-body total lesion glycolysis (WB-TLG) to predict TTT in patients with FL on WW. METHODS: We conducted a retrospective study of 54 patients with FL (grade 1–3a) diagnosed between June 2013 and December 2019, staged with FDG PET/CT, and managed on WW. Median age was 62 years (range 34–85), stage was advanced (III–IV) in 57%, and FLIPI score was intermediate to high (≥ 2) in 52% of the patients. RESULTS: The median TMTV and WB-TLG were 7.1 and 43.3, respectively. With a median follow-up of 59 months, 41% of patients started immuno-chemotherapy. The optimal cut-points to identify patients with TTT within 24 months were 14 for TMTV (AUC 0.70; 95% CI 51–88) and 64 for WB-TLG (AUC 0.71; 95% CI 52–89) (p < 0.005). The probability of not having started treatment within 24 months was 87% for TMTV < 14 and 53% for TMTV ≥ 14 (p < 0.005). TMTV was independent of the FLIPI score for TTT prediction. Patients with both FLIPI ≥ 2 and TMTV ≥ 14 had only an 18% probability of not having started treatment at 36 months, while this probability was 75% in patients with TMTV < 14. CONCLUSION: Metabolic tumour volume parameters may add information to clinical scores to better predict TTT and better stratify patients for interventional studies. |
format | Online Article Text |
id | pubmed-10314847 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Berlin Heidelberg |
record_format | MEDLINE/PubMed |
spelling | pubmed-103148472023-07-03 Predicting time to treatment in follicular lymphoma on watchful waiting using baseline metabolic tumour burden Leccisotti, Lucia Maccora, Daria Malafronte, Rosalia D’Alò, Francesco Maiolo, Elena Annunziata, Salvatore Rufini, Vittoria Giordano, Alessandro Hohaus, Stefan J Cancer Res Clin Oncol Research PURPOSE: Asymptomatic patients with follicular lymphoma (FL) and a low tumour burden can be followed without initial therapy, a strategy called watchful waiting (WW). Prediction of the time to treatment (TTT) is still a challenge. We investigated the prognostic value of baseline total metabolic tumour volume (TMTV) and whole-body total lesion glycolysis (WB-TLG) to predict TTT in patients with FL on WW. METHODS: We conducted a retrospective study of 54 patients with FL (grade 1–3a) diagnosed between June 2013 and December 2019, staged with FDG PET/CT, and managed on WW. Median age was 62 years (range 34–85), stage was advanced (III–IV) in 57%, and FLIPI score was intermediate to high (≥ 2) in 52% of the patients. RESULTS: The median TMTV and WB-TLG were 7.1 and 43.3, respectively. With a median follow-up of 59 months, 41% of patients started immuno-chemotherapy. The optimal cut-points to identify patients with TTT within 24 months were 14 for TMTV (AUC 0.70; 95% CI 51–88) and 64 for WB-TLG (AUC 0.71; 95% CI 52–89) (p < 0.005). The probability of not having started treatment within 24 months was 87% for TMTV < 14 and 53% for TMTV ≥ 14 (p < 0.005). TMTV was independent of the FLIPI score for TTT prediction. Patients with both FLIPI ≥ 2 and TMTV ≥ 14 had only an 18% probability of not having started treatment at 36 months, while this probability was 75% in patients with TMTV < 14. CONCLUSION: Metabolic tumour volume parameters may add information to clinical scores to better predict TTT and better stratify patients for interventional studies. Springer Berlin Heidelberg 2022-07-02 2023 /pmc/articles/PMC10314847/ /pubmed/35779106 http://dx.doi.org/10.1007/s00432-022-04138-3 Text en © The Author(s) 2022 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 | Research Leccisotti, Lucia Maccora, Daria Malafronte, Rosalia D’Alò, Francesco Maiolo, Elena Annunziata, Salvatore Rufini, Vittoria Giordano, Alessandro Hohaus, Stefan Predicting time to treatment in follicular lymphoma on watchful waiting using baseline metabolic tumour burden |
title | Predicting time to treatment in follicular lymphoma on watchful waiting using baseline metabolic tumour burden |
title_full | Predicting time to treatment in follicular lymphoma on watchful waiting using baseline metabolic tumour burden |
title_fullStr | Predicting time to treatment in follicular lymphoma on watchful waiting using baseline metabolic tumour burden |
title_full_unstemmed | Predicting time to treatment in follicular lymphoma on watchful waiting using baseline metabolic tumour burden |
title_short | Predicting time to treatment in follicular lymphoma on watchful waiting using baseline metabolic tumour burden |
title_sort | predicting time to treatment in follicular lymphoma on watchful waiting using baseline metabolic tumour burden |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10314847/ https://www.ncbi.nlm.nih.gov/pubmed/35779106 http://dx.doi.org/10.1007/s00432-022-04138-3 |
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