Literature DB >> 29651546

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

Anne-Ségolène Cottereau1, Irene Buvat2, Salim Kanoun3, Annibale Versari4, Olivier Casasnovas5, Stephane Chauvie6, Jérôme Clerc7, Andrea Gallamini8, Michel Meignan9.   

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Year:  2018        PMID： 29651546     DOI： 10.1007/s00259-018-4005-4

Source DB:  PubMed          Journal:  Eur J Nucl Med Mol Imaging        ISSN： 1619-7070            Impact factor:   9.236


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  11 in total

Review 1.  Partial-volume effect in PET tumor imaging.

Authors:  Marine Soret; Stephen L Bacharach; Irène Buvat
Journal:  J Nucl Med       Date:  2007-05-15       Impact factor: 10.057

2.  Baseline PET as prognostic marker for Hodgkin?

Authors:  Josée M Zijlstra; Ronald Boellaard
Journal:  Blood       Date:  2018-01-04       Impact factor: 22.113

3.  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

4.  Metabolic tumour volumes measured at staging in lymphoma: methodological evaluation on phantom experiments and patients.

Authors:  Michel Meignan; Myriam Sasanelli; René Olivier Casasnovas; Stefano Luminari; Federica Fioroni; Chiara Coriani; Helene Masset; Emmanuel Itti; Paolo G Gobbi; Francesco Merli; Annibale Versari
Journal:  Eur J Nucl Med Mol Imaging       Date:  2014-02-26       Impact factor: 9.236

5.  Molecular Profile and FDG-PET/CT Total Metabolic Tumor Volume Improve Risk Classification at Diagnosis for Patients with Diffuse Large B-Cell Lymphoma.

Authors:  Anne-Ségolène Cottereau; Hélène Lanic; Sylvain Mareschal; Michel Meignan; Pierre Vera; Hervé Tilly; Fabrice Jardin; Stéphanie Becker
Journal:  Clin Cancer Res       Date:  2016-03-02       Impact factor: 12.531

6.  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

7.  Influence of Software Tool and Methodological Aspects of Total Metabolic Tumor Volume Calculation on Baseline [18F]FDG PET to Predict Survival in Hodgkin Lymphoma.

Authors:  Salim Kanoun; Ilan Tal; Alina Berriolo-Riedinger; Cédric Rossi; Jean-Marc Riedinger; Jean-Marc Vrigneaud; Louis Legrand; Olivier Humbert; Olivier Casasnovas; François Brunotte; Alexandre Cochet
Journal:  PLoS One       Date:  2015-10-16       Impact factor: 3.240

8.  Defining the optimal method for measuring baseline metabolic tumour volume in diffuse large B cell lymphoma.

Authors:  Hajira Ilyas; N George Mikhaeel; Joel T Dunn; Fareen Rahman; Henrik Møller; Daniel Smith; Sally F Barrington
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-02-19       Impact factor: 9.236

9.  Automated biological target volume delineation for radiotherapy treatment planning using FDG-PET/CT.

Authors:  Maximilian Niyazi; Sonja Landrock; Andreas Elsner; Farkhad Manapov; Marcus Hacker; Claus Belka; Ute Ganswindt
Journal:  Radiat Oncol       Date:  2013-07-12       Impact factor: 3.481

10.  Harmonizing FDG PET quantification while maintaining optimal lesion detection: prospective multicentre validation in 517 oncology patients.

Authors:  Elske Quak; Pierre-Yves Le Roux; Michael S Hofman; Philippe Robin; David Bourhis; Jason Callahan; David Binns; Cédric Desmonts; Pierre-Yves Salaun; Rodney J Hicks; Nicolas Aide
Journal:  Eur J Nucl Med Mol Imaging       Date:  2015-07-30       Impact factor: 9.236
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  9 in total

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

Authors:  Hajira Ilyas; N George Mikhaeel; Joel T Dunn; Fareen Rahman; Henrik Möller; Daniel Smith; Sally F Barrington
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-11-01       Impact factor: 9.236

2.  Could we avoid computing TMTV of DLBCL patients in routine practice?

Authors:  Eric Laffon; Roger Marthan
Journal:  Eur J Nucl Med Mol Imaging       Date:  2018-07-28       Impact factor: 9.236

3.  Deep Learning Approach to Automatize TMTV Calculations Regardless of Segmentation Methodology for Major FDG-Avid Lymphomas.

Authors:  Wendy Revailler; Anne Ségolène Cottereau; Cedric Rossi; Rudy Noyelle; Thomas Trouillard; Franck Morschhauser; Olivier Casasnovas; Catherine Thieblemont; Steven Le Gouill; Marc André; Herve Ghesquieres; Romain Ricci; Michel Meignan; Salim Kanoun
Journal:  Diagnostics (Basel)       Date:  2022-02-06

4.  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

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

Authors:  Luca Ceriani; Giuseppe Gritti; Luciano Cascione; Maria Cristina Pirosa; Angela Polino; Teresa Ruberto; Anastasios Stathis; Andrea Bruno; Alden A Moccia; Luca Giovanella; Stefanie Hayoz; Sämi Schär; Stefan Dirnhofer; Alessandro Rambaldi; Giovanni Martinelli; Christoph Mamot; Emanuele Zucca
Journal:  Blood Adv       Date:  2020-03-24

6.  Integration of Baseline Metabolic Parameters and Mutational Profiles Predicts Long-Term Response to First-Line Therapy in DLBCL Patients: A Post Hoc Analysis of the SAKK38/07 Study.

Authors:  Sofia Genta; Guido Ghilardi; Luciano Cascione; Darius Juskevicius; Alexandar Tzankov; Sämi Schär; Lisa Milan; Maria Cristina Pirosa; Fabiana Esposito; Teresa Ruberto; Luca Giovanella; Stefanie Hayoz; Christoph Mamot; Stefan Dirnhofer; Emanuele Zucca; Luca Ceriani
Journal:  Cancers (Basel)       Date:  2022-02-17       Impact factor: 6.639

Review 7.  Metabolic Imaging in B-Cell Lymphomas during CAR-T Cell Therapy.

Authors:  Flavia Linguanti; Elisabetta Maria Abenavoli; Valentina Berti; Egesta Lopci
Journal:  Cancers (Basel)       Date:  2022-09-27       Impact factor: 6.575

8.  Computed tomography-based skeletal segmentation for quantitative PET metrics of bone involvement in multiple myeloma.

Authors:  Maria E S Takahashi; Camila Mosci; Edna M Souza; Sérgio Q Brunetto; Cármino de Souza; Fernando V Pericole; Irene Lorand-Metze; Celso D Ramos
Journal:  Nucl Med Commun       Date:  2020-04       Impact factor: 1.698

9.  Deep-Learning 18F-FDG Uptake Classification Enables Total Metabolic Tumor Volume Estimation in Diffuse Large B-Cell Lymphoma.

Authors:  Nicolò Capobianco; Michel Meignan; Anne-Ségolène Cottereau; Laetitia Vercellino; Ludovic Sibille; Bruce Spottiswoode; Sven Zuehlsdorff; Olivier Casasnovas; Catherine Thieblemont; Irène Buvat
Journal:  J Nucl Med       Date:  2020-06-12       Impact factor: 10.057
  9 in total

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