Literature DB >> 26787236

Prognostic value of baseline total metabolic tumor volume (TMTV0) measured on FDG-PET/CT in patients with peripheral T-cell lymphoma (PTCL).

A S Cottereau1, S Becker2, F Broussais3, O Casasnovas4, S Kanoun5, M Roques4, N Charrier6, S Bertrand6, R Delarue7, C Bonnet8, R Hustinx9, P Gaulard10, L de Leval11, P Vera12, E Itti13, N Mounier14, C Haioun15, H Tilly16, M Meignan17.   

Abstract

BACKGROUND: Most peripheral T-cell lymphoma (PTCL) patients have a poor outcome and the identification of prognostic factors at diagnosis is needed. PATIENTS AND METHODS: The prognostic impact of total metabolic tumor volume (TMTV0), measured on baseline [(18)F]2-fluoro-2-deoxy-d-glucose positron emission tomography/computed tomography, was evaluated in a retrospective study including 108 PTCL patients (27 PTCL not otherwise specified, 43 angioimmunoblastic T-cell lymphomas and 38 anaplastic large-cell lymphomas). All received anthracycline-based chemotherapy. TMTV0 was computed with the 41% maximum standardized uptake value threshold method and an optimal cut-off point for binary outcomes was determined and compared with others prognostic factors.
RESULTS: With a median follow-up of 23 months, 2-year progression-free survival (PFS) was 49% and 2-year overall survival (OS) was 67%. High TMTV0 was significantly associated with a worse prognosis. At 2 years, PFS was 26% in patients with a high TMTV0 (>230 cm(3), n = 53) versus 71% for those with a low TMTV0, [P < 0.0001, hazard ratio (HR) = 4], whereas OS was 50% versus 80%, respectively, (P = 0.0005, HR = 3.1). In multivariate analysis, TMTV0 was the only significant independent parameter for both PFS and OS. TMTV0, combined with PIT, discriminated even better than TMTV0 alone, patients with an adverse outcome (TMTV0 >230 cm(3) and PIT >1, n = 33,) from those with good prognosis (TMTV0 ≤230 cm(3) and PIT ≤1, n = 40): 19% versus 73% 2-year PFS (P < 0.0001) and 43% versus 81% 2-year OS, respectively (P = 0.0002). Thirty-one patients (other TMTV0-PIT combinations) had an intermediate outcome, 50% 2-year PFS and 68% 2-year OS.
CONCLUSION: TMTV0 appears as an independent predictor of PTCL outcome. Combined with PIT, it could identify different risk categories at diagnosis and warrants further validation as a prognostic marker.
© The Author 2016. Published by Oxford University Press on behalf of the European Society for Medical Oncology. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  FDG–PET/CT; PTCL; metabolic volume

Mesh:

Substances:

Year:  2016        PMID: 26787236     DOI: 10.1093/annonc/mdw011

Source DB:  PubMed          Journal:  Ann Oncol        ISSN: 0923-7534            Impact factor:   32.976


  27 in total

1.  Baseline PET features to predict prognosis in primary mediastinal B cell lymphoma: a comparative analysis of different methods for measuring baseline metabolic tumour volume.

Authors:  Luca Ceriani; Lisa Milan; Peter W M Johnson; Maurizio Martelli; Stefano Presilla; Luca Giovanella; Emanuele Zucca
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-02-26       Impact factor: 9.236

2.  Predictive value of 18F-FDG PET/CT in adults with T-cell lymphoblastic lymphoma: post hoc analysis of results from the GRAALL-LYSA LLO3 trial.

Authors:  Stéphanie Becker; Thomas Vermeulin; Anne-Ségolène Cottereau; Nicolas Boissel; Pierre Vera; Stéphane Lepretre
Journal:  Eur J Nucl Med Mol Imaging       Date:  2017-07-21       Impact factor: 9.236

3.  Baseline and interim functional imaging with PET effectively risk stratifies patients with peripheral T-cell lymphoma.

Authors:  Neha Mehta-Shah; Kimiteru Ito; Kurt Bantilan; Alison J Moskowitz; Craig Sauter; Steven M Horwitz; Heiko Schöder
Journal:  Blood Adv       Date:  2019-01-22

Review 4.  Follicular Lymphoma: Diagnostic and Prognostic Considerations in Initial Treatment Approach.

Authors:  Kirsten M Boughan; Paolo F Caimi
Journal:  Curr Oncol Rep       Date:  2019-05-23       Impact factor: 5.075

5.  Metabolic Tumor Volume in Lymphoma: Hype or Hope?

Authors:  Heiko Schöder; Craig Moskowitz
Journal:  J Clin Oncol       Date:  2016-10-20       Impact factor: 44.544

6.  Integrative analysis of a phase 2 trial combining lenalidomide with CHOP in angioimmunoblastic T-cell lymphoma.

Authors:  François Lemonnier; Violaine Safar; Asma Beldi-Ferchiou; Anne-Ségolène Cottereau; Emmanuel Bachy; Guillaume Cartron; Virginie Fataccioli; Laura Pelletier; Cyrielle Robe; Audrey Letourneau; Edoardo Missiaglia; Slim Fourati; Marie-Pierre Moles-Moreau; Alain Delmer; Reda Bouabdallah; Laurent Voillat; Stéphanie Becker; Céline Bossard; Marie Parrens; Olivier Casasnovas; Victoria Cacheux; Caroline Régny; Vincent Camus; Marie-Hélène Delfau-Larue; Michel Meignan; Laurence de Leval; Philippe Gaulard; Corinne Haioun
Journal:  Blood Adv       Date:  2021-01-26

7.  Metabolic volume performs better than SUVmax in the detection of left ventricular assist device driveline infection.

Authors:  Nemanja Avramovic; Angelo Maria Dell'Aquila; Matthias Weckesser; Danka Milankovic; Alexis Vrachimis; Jürgen R Sindermann; Christian Wenning
Journal:  Eur J Nucl Med Mol Imaging       Date:  2017-05-25       Impact factor: 9.236

8.  Time to Prepare for Risk Adaptation in Lymphoma by Standardizing Measurement of Metabolic Tumor Burden.

Authors:  Sally F Barrington; Michel Meignan
Journal:  J Nucl Med       Date:  2019-04-06       Impact factor: 10.057

9.  Prognostic role of baseline 18F-FDG PET/CT metabolic parameters in Burkitt lymphoma.

Authors:  Domenico Albano; Giovanni Bosio; Chiara Pagani; Alessandro Re; Alessandra Tucci; Raffaele Giubbini; Francesco Bertagna
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-10-02       Impact factor: 9.236

10.  Combination of baseline FDG PET/CT total metabolic tumour volume and gene expression profile have a robust predictive value in patients with diffuse large B-cell lymphoma.

Authors:  Mathieu Nessim Toledano; P Desbordes; A Banjar; I Gardin; P Vera; P Ruminy; F Jardin; H Tilly; S Becker
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-01-17       Impact factor: 9.236

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.