Prognostic model for high-tumor-burden follicular lymphoma integrating baseline and end-induction PET: a LYSA/FIL study

Author:

Cottereau Anne Ségolène1ORCID,Versari Annibale2,Luminari Stefano34,Dupuis Jehan5,Chartier Loïc6,Casasnovas René-Olivier7,Berriolo-Riedinger Alina8,Menga Massimo2,Haioun Corinne4,Tilly Hervé89,Tarantino Vittoria4,Federico Massimo4,Salles Gilles10,Trotman Judith11,Meignan Michel12

Affiliation:

1. Nuclear Medicine Department, Cochin Hospital, René Descartes University, Paris, France;

2. Nuclear Medicine Department and

3. Haematology, Santa Maria Nuova Hospital, Istituto Di Ricovero e Cura a Carattere Scientifico, Reggio Emilia, Italy;

4. Department of Diagnostic, Clinical and Public Health Medicine, University of Modena and Reggio Emilia, Modena, Italy;

5. Unité d’Hémopathies Lymphoïdes, Hôpitaux Universitaires Henri Mondor, Université Paris Est, Créteil, France;

6. Department of Biostatistics (Lymphoma Academic Research Organisation), Centre Hospitalier Lyon Sud, Pierre Bénite, France;

7. Hématologie Clinique, Hôpital le Bocage, Centre Hospitalier Universitaire Dijon, Dijon, France;

8. Service de Médecine Nucléaire, Centre Georges François Leclerc, Dijon, France;

9. Département d’Hématologie, UMR918, Centre Henri Becquerel, Université de Rouen, Rouen, France;

10. Hospices Civils de Lyon, Service d’Hématologie, Université Claude Bernard Lyon 1, INSERM 1052, Pierre Bénite, France;

11. Haematology Department, Concord Hospital, University of Sydney, Concord, NSW, Australia; and

12. Lymphoma Study Association Imaging, Hôpitaux Universitaires Henri Mondor, Université Paris Est, Créteil, France

Abstract

Key Points A model combining baseline metabolic tumor volume and EOI PET identify follicular lymphoma patients with a very high risk of progression.

Publisher

American Society of Hematology

Subject

Cell Biology,Hematology,Immunology,Biochemistry

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