title: Influence of Software Tool and Methodological Aspects of Total Metabolic Tumor Volume Calculation on Baseline [18F]FDG PET to Predict Survival in Hodgkin Lymphoma.
abstract: OBJECTIVE
  To investigate the respective influence of software tool and total metabolic tumor volume (TMTV0) calculation method on prognostic stratification of baseline 2-deoxy-2-[18F]fluoro-D-glucose positron emission tomography ([18F]FDG-PET) in newly diagnosed Hodgkin lymphoma (HL).
  
  
  METHODS
  59 patients with newly diagnosed HL were retrospectively included. [18F]FDG-PET was performed before any treatment. Four sets of TMTV0 were calculated with Beth Israel (BI) software: based on an absolute threshold selecting voxel with standardized uptake value (SUV) >2.5 (TMTV02.5), applying a per-lesion threshold of 41% of the SUV max (TMTV041) and using a per-patient adapted threshold based on SUV max of the liver (>125% and >140% of SUV max of the liver background; TMTV0125 and TMTV0140). TMTV041 was also determined with commercial software for comparison of software tools. ROC curves were used to determine the optimal threshold for each TMTV0 to predict treatment failure.
  
  
  RESULTS
  Median follow-up was 39 months. There was an excellent correlation between TMTV041 determined with BI and with the commercial software (r = 0.96, p<0.0001). The median TMTV0 value for TMTV041, TMTV02.5, TMTV0125 and TMTV0140 were respectively 160 (used as reference), 210 ([28;154] p = 0.005), 183 ([-4;114] p = 0.06) and 143 ml ([-58;64] p = 0.9). The respective optimal TMTV0 threshold and area under curve (AUC) for prediction of progression free survival (PFS) were respectively: 313 ml and 0.70, 432 ml and 0.68, 450 ml and 0.68, 330 ml and 0.68. There was no significant difference between ROC curves. High TMTV0 value was predictive of poor PFS in all methodologies: 4-years PFS was 83% vs 42% (p = 0.006) for TMTV02.5, 83% vs 41% (p = 0.003) for TMTV041, 85% vs 40% (p<0.001) for TMTV0125 and 83% vs 42% (p = 0.004) for TMTV0140.
  
  
  CONCLUSIONS
  In newly diagnosed HL, baseline metabolic tumor volume values were significantly influenced by the choice of the method used for determination of volume. However, no significant differences were found in term of prognosis.
authors.affiliation: Department of Nuclear Medicine, Centre Georges-François Leclerc, Dijon, France; Le2i UMR CNRS 6306, Dijon, France; MRI Unit, Centre Hospitalier Régional Universitaire, Hôpital Le Bocage, Dijon, France.
authors.forename: Salim
authors.initials: S
authors.lastname: Kanoun
authors.affiliation: Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America.
authors.forename: Ilan
authors.initials: I
authors.lastname: Tal
authors.affiliation: Department of Nuclear Medicine, Centre Georges-François Leclerc, Dijon, France.
authors.forename: Alina
authors.initials: A
authors.lastname: Berriolo-Riedinger
authors.affiliation: Department of Clinical Hematology, Centre Hospitalier Régional Universitaire, Hôpital Le Bocage, Dijon, France.
authors.forename: Cédric
authors.initials: C
authors.lastname: Rossi
authors.affiliation: Department of Nuclear Medicine, Centre Georges-François Leclerc, Dijon, France.
authors.forename: Jean-Marc
authors.initials: JM
authors.lastname: Riedinger
authors.affiliation: Department of Nuclear Medicine, Centre Georges-François Leclerc, Dijon, France.
authors.forename: Jean-Marc
authors.initials: JM
authors.lastname: Vrigneaud
authors.affiliation: Le2i UMR CNRS 6306, Dijon, France.
authors.forename: Louis
authors.initials: L
authors.lastname: Legrand
authors.affiliation: Department of Nuclear Medicine, Centre Georges-François Leclerc, Dijon, France; Le2i UMR CNRS 6306, Dijon, France.
authors.forename: Olivier
authors.initials: O
authors.lastname: Humbert
authors.affiliation: Department of Clinical Hematology, Centre Hospitalier Régional Universitaire, Hôpital Le Bocage, Dijon, France; Inserm U866, Labex team, Faculté de Médecine, Université de Bourgogne, Dijon, France.
authors.forename: Olivier
authors.initials: O
authors.lastname: Casasnovas
authors.affiliation: Department of Nuclear Medicine, Centre Georges-François Leclerc, Dijon, France; Le2i UMR CNRS 6306, Dijon, France; MRI Unit, Centre Hospitalier Régional Universitaire, Hôpital Le Bocage, Dijon, France.
authors.forename: François
authors.initials: F
authors.lastname: Brunotte
authors.affiliation: Department of Nuclear Medicine, Centre Georges-François Leclerc, Dijon, France; Le2i UMR CNRS 6306, Dijon, France.
authors.forename: Alexandre
authors.initials: A
authors.lastname: Cochet
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D018572:Disease-Free Survival; D005260:Female; D005500:Follow-Up Studies; D019298:Glucose-6-Phosphate / Q000008:administration & dosage / Q000031:analogs & derivatives*; D006689:Hodgkin Disease / Q000000981:diagnostic imaging / Q000401:mortality; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D008297:Male; D008875:Middle Aged; D049268:Positron-Emission Tomography; D011237:Predictive Value of Tests; D011859:Radiography; D012984:Software; D015996:Survival Rate
chemical_list: C047515:2-fluoro-2-deoxyglucose-6-phosphate; D019298:Glucose-6-Phosphate