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Baseline Total Metabolic Tumor Volume Measured with Fixed or Different Adaptive Thresholding Methods Equally Predicts Outcome in Peripheral T Cell Lymphoma.
Cottereau, Anne-Ségolène; Hapdey, Sebastien; Chartier, Loic; Modzelewski, Romain; Casasnovas, Olivier; Itti, Emmanuel; Tilly, Herve; Vera, Pierre; Meignan, Michel A; Becker, Stéphanie.
Afiliación
  • Cottereau AS; Nuclear Medicine Department, Hôpital Henri Mondor, University Paris-Est Créteil, Créteil, France annesegolene.cottereau@aphp.fr.
  • Hapdey S; Nuclear Medicine Department, Henri Becquerel Cancer Center and Rouen University Hospital, Rouen, France.
  • Chartier L; QuantIF-LITIS (EA [Equipe d'Accueil] 4108), Faculty of Medicine, University of Rouen, Rouen, France.
  • Modzelewski R; Department of Biostatistics (LYSARC), Centre Hospitalier Lyon Sud, Pierre Bénite, France.
  • Casasnovas O; Nuclear Medicine Department, Henri Becquerel Cancer Center and Rouen University Hospital, Rouen, France.
  • Itti E; QuantIF-LITIS (EA [Equipe d'Accueil] 4108), Faculty of Medicine, University of Rouen, Rouen, France.
  • Tilly H; Hematology Department, Hopital Le Bocage-CHU Dijon, France; and.
  • Vera P; Nuclear Medicine Department, Hôpital Henri Mondor, University Paris-Est Créteil, Créteil, France.
  • Meignan MA; Hematology Department, UMR918, Henri Becquerel Cancer Center and Rouen University Hospital, Rouen, France.
  • Becker S; Nuclear Medicine Department, Henri Becquerel Cancer Center and Rouen University Hospital, Rouen, France.
J Nucl Med ; 58(2): 276-281, 2017 02.
Article en En | MEDLINE | ID: mdl-27754905
The purpose of this study was to compare in a large series of peripheral T cell lymphoma, as a model of diffuse disease, the prognostic value of baseline total metabolic tumor volume (TMTV) measured on 18F-FDG PET/CT with adaptive thresholding methods with TMTV measured with a fixed 41% SUVmax threshold method. METHODS: One hundred six patients with peripheral T cell lymphoma, staged with PET/CT, were enrolled from 5 Lymphoma Study Association centers. In this series, TMTV computed with the 41% SUVmax threshold is a strong predictor of outcome. On a dedicated workstation, we measured the TMTV with 4 adaptive thresholding methods based on characteristic image parameters: Daisne (Da) modified, based on signal-to-background ratio; Nestle (Ns), based on tumor and background intensities; Fit, including a 3-dimensional geometric model based on spatial resolution (Fit); and Black (Bl), based on mean SUVmax The TMTV values obtained with each adaptive method were compared with those obtained with the 41% SUVmax method. Their respective prognostic impacts on outcome prediction were compared using receiver-operating-characteristic (ROC) curve analysis and Kaplan-Meier survival curves. RESULTS: The median value of TMTV41%, TMTVDa, TMTVNs, TMTVFit, and TMTVBl were, respectively, 231 cm3 (range, 5-3,824), 175 cm3 (range, 8-3,510), 198 cm3 (range, 3-3,934), 175 cm3 (range, 8-3,512), and 333 cm3 (range, 3-5,113). The intraclass correlation coefficients were excellent, from 0.972 to 0.988, for TMTVDa, TMTVFit, and TMTVNs, and less good for TMTVBl (0.856). The mean differences obtained from the Bland-Altman plots were 48.5, 47.2, 19.5, and -253.3 cm3, respectively. Except for Black, there was no significant difference within the methods between the ROC curves (P > 0.4) for progression-free survival and overall survival. Survival curves with the ROC optimal cutoff for each method separated the same groups of low-risk (volume ≤ cutoff) from high-risk patients (volume > cutoff), with similar 2-y progression-free survival (range, 66%-72% vs. 26%-29%; hazard ratio, 3.7-4.1) and 2-y overall survival (79%-83% vs. 50%-53%; hazard ratio, 3.0-3.5). CONCLUSION: The prognostic value of TMTV remained quite similar whatever the methods, adaptive or 41% SUVmax, supporting its use as a strong prognosticator in lymphoma. However, for implementation of TMTV in clinical trials 1 single method easily applicable in a multicentric PET review must be selected and kept all along the trial.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Interpretación de Imagen Asistida por Computador / Modelos de Riesgos Proporcionales / Modelos Estadísticos / Linfoma de Células T / Tomografía Computarizada por Tomografía de Emisión de Positrones Tipo de estudio: Clinical_trials / Diagnostic_studies / Etiology_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Male / Middle aged País/Región como asunto: Europa Idioma: En Revista: J Nucl Med Año: 2017 Tipo del documento: Article País de afiliación: Francia

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Interpretación de Imagen Asistida por Computador / Modelos de Riesgos Proporcionales / Modelos Estadísticos / Linfoma de Células T / Tomografía Computarizada por Tomografía de Emisión de Positrones Tipo de estudio: Clinical_trials / Diagnostic_studies / Etiology_studies / Prevalence_studies / Prognostic_studies / Risk_factors_studies Límite: Female / Humans / Male / Middle aged País/Región como asunto: Europa Idioma: En Revista: J Nucl Med Año: 2017 Tipo del documento: Article País de afiliación: Francia