Literature DB >> 32196557

SAKK38/07 study: integration of baseline metabolic heterogeneity and metabolic tumor volume in DLBCL prognostic model.

Luca Ceriani1,2, Giuseppe Gritti3, Luciano Cascione2,4, Maria Cristina Pirosa5, Angela Polino5, Teresa Ruberto1, Anastasios Stathis5, Andrea Bruno6, Alden A Moccia5, Luca Giovanella1,7, Stefanie Hayoz8, Sämi Schär8, Stefan Dirnhofer9, Alessandro Rambaldi3,10, Giovanni Martinelli11, Christoph Mamot12, Emanuele Zucca2,5,13.   

Abstract

Several functional parameters from baseline (18)F-fluorodeoxyglucose positron emission tomography (PET)/computed tomography have been proposed as promising biomarkers of treatment efficacy in diffuse large B-cell lymphoma (DLBCL). We tested their ability to predict outcome in 2 cohorts of DLBCL patients receiving conventional immunochemotherapy (rituximab, cyclophosphamide, doxorubicin hydrochloride, vincristine sulfate, and prednisone [R-CHOP] regimen), either every 14 (R-CHOP14) or 21 days (R-CHOP21). Baseline PET analysis was performed in 141 patients with DLBCL treated with R-CHOP14 in the prospective SAKK38/07 study (NCT00544219) of the Swiss Group for Clinical Cancer Research (testing set). Reproducibility was examined in a validation set of 113 patients treated with R-CHOP21. In the SAKK38/07 cohort, progression-free survival (PFS) at 5 years was 83% for patients with low metabolic tumor volume (MTV) and 59% for those with high MTV (hazard ratio [HR], 3.4; 95% confidence interval [CI], 1.6-7.0; P = .0005), whereas overall survival (OS) was 91% and 64%, respectively (HR, 4.4; 95% CI, 1.9-10; P = .0001). MTV was the most powerful predictor of outcome also in the validation set. Elevated metabolic heterogeneity (MH) significantly predicted poorer outcomes in the subgroups of patients with elevated MTV. A model integrating MTV and MH identified high-risk patients with shorter PFS (testing set: HR, 5.6; 95% CI, 1.8-17; P < .0001; validation set: HR, 5.6; 95% CI, 1.7-18; P = .0002) and shorter OS (testing set: HR, 9.5; 95% CI, 1.7-52; P < .0001; validation set: HR, 7.6; 95% CI, 2.0-28; P = .0003). This finding was confirmed by an unsupervised regression tree analysis indicating that prognostic models based on MTV and MH may allow early identification of refractory patients who might benefit from treatment intensification. This trial was registered at www.clinicaltrials.gov as #NCT00544219.
© 2020 by The American Society of Hematology.

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Year:  2020        PMID: 32196557      PMCID: PMC7094027          DOI: 10.1182/bloodadvances.2019001201

Source DB:  PubMed          Journal:  Blood Adv        ISSN: 2473-9529


  55 in total

1.  SUVmax reduction improves early prognosis value of interim positron emission tomography scans in diffuse large B-cell lymphoma.

Authors:  René-Olivier Casasnovas; Michel Meignan; Alina Berriolo-Riedinger; Stéphane Bardet; Anne Julian; Catherine Thieblemont; Pierre Vera; Serge Bologna; Josette Brière; Jean-Philippe Jais; Corinne Haioun; Bertrand Coiffier; Franck Morschhauser
Journal:  Blood       Date:  2011-04-25       Impact factor: 22.113

2.  An international confirmatory study of the prognostic value of early PET/CT in diffuse large B-cell lymphoma: comparison between Deauville criteria and ΔSUVmax.

Authors:  Emmanuel Itti; Michel Meignan; Alina Berriolo-Riedinger; Alberto Biggi; Amanda F Cashen; Pierre Véra; Hervé Tilly; Barry A Siegel; Andrea Gallamini; René-Olivier Casasnovas; Corinne Haioun
Journal:  Eur J Nucl Med Mol Imaging       Date:  2013-05-07       Impact factor: 9.236

3.  Is there an optimal method for measuring baseline metabolic tumor volume in diffuse large B cell lymphoma?

Authors:  Anne-Ségolène Cottereau; Irene Buvat; Salim Kanoun; Annibale Versari; Olivier Casasnovas; Stephane Chauvie; Jérôme Clerc; Andrea Gallamini; Michel Meignan
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-04-12       Impact factor: 9.236

4.  Baseline Metabolic Tumor Volume Predicts Outcome in High-Tumor-Burden Follicular Lymphoma: A Pooled Analysis of Three Multicenter Studies.

Authors:  Michel Meignan; Anne Ségolène Cottereau; Annibale Versari; Loïc Chartier; Jehan Dupuis; Sami Boussetta; Ilaria Grassi; René-Olivier Casasnovas; Corinne Haioun; Hervé Tilly; Vittoria Tarantino; Julien Dubreuil; Massimo Federico; Gilles Salles; Stefano Luminari; Judith Trotman
Journal:  J Clin Oncol       Date:  2016-09-30       Impact factor: 44.544

5.  Use of interim [18F]fluorodeoxyglucose-positron emission tomography is not justified in diffuse large B-cell lymphoma during first-line immunochemotherapy.

Authors:  M Christina Cox; Vincenzo Ambrogi; Valerio Lanni; Elena Cavalieri; Sabrina Pelliccia; Francesco Scopinaro; Bruno Monarca; Paolo Marchetti; M Antonietta Aloe Spiriti
Journal:  Leuk Lymphoma       Date:  2011-09-23

6.  The revised International Prognostic Index (R-IPI) is a better predictor of outcome than the standard IPI for patients with diffuse large B-cell lymphoma treated with R-CHOP.

Authors:  Laurie H Sehn; Brian Berry; Mukesh Chhanabhai; Catherine Fitzgerald; Karamjit Gill; Paul Hoskins; Richard Klasa; Kerry J Savage; Tamara Shenkier; Judy Sutherland; Randy D Gascoyne; Joseph M Connors
Journal:  Blood       Date:  2006-11-14       Impact factor: 22.113

7.  Metabolic heterogeneity on baseline 18FDG-PET/CT scan is a predictor of outcome in primary mediastinal B-cell lymphoma.

Authors:  Luca Ceriani; Lisa Milan; Maurizio Martelli; Andrés J M Ferreri; Luciano Cascione; Pier Luigi Zinzani; Alice Di Rocco; Annarita Conconi; Anastasios Stathis; Franco Cavalli; Monica Bellei; Kelly Cozens; Elena Porro; Luca Giovanella; Peter W Johnson; Emanuele Zucca
Journal:  Blood       Date:  2018-05-02       Impact factor: 22.113

8.  Baseline Total Metabolic Tumor Volume Measured with Fixed or Different Adaptive Thresholding Methods Equally Predicts Outcome in Peripheral T Cell Lymphoma.

Authors:  Anne-Ségolène Cottereau; Sebastien Hapdey; Loic Chartier; Romain Modzelewski; Olivier Casasnovas; Emmanuel Itti; Herve Tilly; Pierre Vera; Michel A Meignan; Stéphanie Becker
Journal:  J Nucl Med       Date:  2016-10-06       Impact factor: 10.057

9.  Spatial heterogeneity in sarcoma 18F-FDG uptake as a predictor of patient outcome.

Authors:  Janet F Eary; Finbarr O'Sullivan; Janet O'Sullivan; Ernest U Conrad
Journal:  J Nucl Med       Date:  2008-11-07       Impact factor: 10.057

10.  Combination of baseline metabolic tumour volume and early response on PET/CT improves progression-free survival prediction in DLBCL.

Authors:  N George Mikhaeel; Daniel Smith; Joel T Dunn; Michael Phillips; Henrik Møller; Paul A Fields; David Wrench; Sally F Barrington
Journal:  Eur J Nucl Med Mol Imaging       Date:  2016-02-23       Impact factor: 9.236

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  14 in total

1.  High metabolic heterogeneity on baseline 18FDG-PET/CT scan as a poor prognostic factor for newly diagnosed diffuse large B-cell lymphoma.

Authors:  Hajime Senjo; Kenji Hirata; Koh Izumiyama; Koichiro Minauchi; Eriko Tsukamoto; Kazuo Itoh; Minoru Kanaya; Akio Mori; Shuichi Ota; Daigo Hashimoto; Takanori Teshima
Journal:  Blood Adv       Date:  2020-05-26

Review 2.  Artificial Intelligence in Lymphoma PET Imaging:: A Scoping Review (Current Trends and Future Directions).

Authors:  Navid Hasani; Sriram S Paravastu; Faraz Farhadi; Fereshteh Yousefirizi; Michael A Morris; Arman Rahmim; Mark Roschewski; Ronald M Summers; Babak Saboury
Journal:  PET Clin       Date:  2022-01

3.  Comparing lesion and feature selections to predict progression in newly diagnosed DLBCL patients with FDG PET/CT radiomics features.

Authors:  Jakoba J Eertink; Gerben J C Zwezerijnen; Matthijs C F Cysouw; Sanne E Wiegers; Elisabeth A G Pfaehler; Pieternella J Lugtenburg; Bronno van der Holt; Otto S Hoekstra; Henrica C W de Vet; Josée M Zijlstra; Ronald Boellaard
Journal:  Eur J Nucl Med Mol Imaging       Date:  2022-08-04       Impact factor: 10.057

4.  The value of FDG PET/CT imaging in outcome prediction and response assessment of lymphoma patients treated with immunotherapy: a meta-analysis and systematic review.

Authors:  Zahra Kiamanesh; Narjess Ayati; Ramin Sadeghi; Eliza Hawkes; Sze Ting Lee; Andrew M Scott
Journal:  Eur J Nucl Med Mol Imaging       Date:  2022-08-06       Impact factor: 10.057

5.  Non-Hodgkin Lymphoma Metabolism.

Authors:  Brian James Kirsch; Shu-Jyuan Chang; Michael James Betenbaugh; Anne Le
Journal:  Adv Exp Med Biol       Date:  2021       Impact factor: 2.622

6.  Ibrutinib Monotherapy in Relapsed or Refractory, Transformed Diffuse Large B-cell Lymphoma.

Authors:  Solomon A Graf; Ryan D Cassaday; Karolyn Morris; Jenna M Voutsinas; Qian Vicky Wu; Sanaz Behnia; Ryan C Lynch; Elizabeth Krakow; Heather Rasmussen; Thomas R Chauncey; Sandra Kanan; Lorinda Soma; Stephen D Smith; Ajay K Gopal
Journal:  Clin Lymphoma Myeloma Leuk       Date:  2020-12-03

7.  Proposed New Dynamic Prognostic Index for Diffuse Large B-Cell Lymphoma: International Metabolic Prognostic Index.

Authors:  N George Mikhaeel; Martijn W Heymans; Jakoba J Eertink; Henrica C W de Vet; Ronald Boellaard; Ulrich Dührsen; Luca Ceriani; Christine Schmitz; Sanne E Wiegers; Andreas Hüttmann; Pieternella J Lugtenburg; Emanuele Zucca; Gerben J C Zwezerijnen; Otto S Hoekstra; Josée M Zijlstra; Sally F Barrington
Journal:  J Clin Oncol       Date:  2022-03-31       Impact factor: 50.717

8.  Prognostic significance of clinical characteristics and 18Fluorodeoxyglucose-positron emission tomography/computed tomography quantitative parameters in patients with primary mediastinal B-cell lymphoma.

Authors:  Yizhen Liu; Jinjin Jiang; Lianfang Liu; Zezhou Wang; Baohua Yu; Zuguang Xia; Qunling Zhang; Dongmei Ji; Xiaojian Liu; Fangfang Lv; Xiaonan Hong; Shaoli Song; Junning Cao
Journal:  J Int Med Res       Date:  2022-01       Impact factor: 1.671

9.  Positron emission tomography and magnetic resonance imaging in primary central nervous system lymphoma-a narrative review.

Authors:  Simone Krebs; Julia G Barasch; Robert J Young; Christian Grommes; Heiko Schöder
Journal:  Ann Lymphoma       Date:  2021-06-30

10.  Quantitative Radiomics Features in Diffuse Large B-Cell Lymphoma: Does Segmentation Method Matter?

Authors:  Jakoba J Eertink; Elisabeth A G Pfaehler; Sanne E Wiegers; Tim van; Pieternella J Lugtenburg; Otto S Hoekstra; Josée M Zijlstra; Henrica C W de Vet; Ronald Boellaard
Journal:  J Nucl Med       Date:  2021-07-16       Impact factor: 10.057

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