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

被引:48
作者
Cottereau, Anne-Segolene [1 ]
Hapdey, Sebastien [2 ,3 ,4 ]
Chartier, Loic [5 ]
Modzelewski, Romain [2 ,3 ,4 ]
Casasnovas, Olivier [6 ]
Itti, Emmanuel [1 ]
Tilly, Herve [3 ,7 ]
Vera, Pierre [2 ,3 ,4 ]
Meignan, Michel A. [1 ]
Becker, Stephanie [2 ,3 ,4 ]
机构
[1] Univ Paris Est Creteil, Dept Nucl Med, Hop Henri Mondor, Creteil, France
[2] Henri Becquerel Canc Ctr, Dept Nucl Med, Rouen, France
[3] Rouen Univ Hosp, Rouen, France
[4] Univ Rouen, QuantIF LITIS EA Equipe Accueil 4108, Fac Med, Rouen, France
[5] Ctr Hosp Lyon Sud, Dept Biostat LYSARC, Pierre Benite, France
[6] CHU Dijon, Hop Bocage, Dept Hematol, Dijon, France
[7] Henri Becquerel Canc Ctr, UMR918, Dept Hematol, Rouen, France
关键词
metabolic tumor volume; lymphoma; PTCL; adaptive thresholds; FDG-PET; PROSPECTIVE MULTICENTER; RADIOTHERAPY; DELINEATION; TARGET; TISSUE;
D O I
10.2967/jnumed.116.180406
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
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 F-18-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 (BI), 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 TMTVBt were, respectively, 231 cm(3) (range, 5-3,824), 175 cm(3) (range, 8-3,510), 198 cm(3) (range, 3-3,934), 175 cm(3) (range, 8-3,512), and 333 cm(3) (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 cm(3), 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.
引用
收藏
页码:276 / 281
页数:6
相关论文
共 20 条
[1]   Role of Imaging in the Staging and Response Assessment of Lymphoma: Consensus of the International Conference on Malignant Lymphomas Imaging Working Group [J].
Barrington, Sally F. ;
Mikhaeel, N. George ;
Kostakoglu, Lale ;
Meignan, Michel ;
Hutchings, Martin ;
Mueeller, Stefan P. ;
Schwartz, Lawrence H. ;
Zucca, Emanuele ;
Fisher, Richard I. ;
Trotman, Judith ;
Hoekstra, Otto S. ;
Hicks, Rodney J. ;
O'Doherty, Michael J. ;
Hustinx, Roland ;
Biggi, Alberto ;
Cheson, Bruce D. .
JOURNAL OF CLINICAL ONCOLOGY, 2014, 32 (27) :3048-+
[2]   Defining a radiotherapy target with positron emission tomography [J].
Black, QC ;
Grills, IS ;
Kestin, LL ;
Wong, CYO ;
Wong, JW ;
Martinez, AA ;
Yan, D .
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS, 2004, 60 (04) :1272-1282
[3]   FDG PET/CT: EANM procedure guidelines for tumour imaging: version 2.0 [J].
Boellaard, Ronald ;
Delgado-Bolton, Roberto ;
Oyen, Wim J. G. ;
Giammarile, Francesco ;
Tatsch, Klaus ;
Eschner, Wolfgang ;
Verzijlbergen, Fred J. ;
Barrington, Sally F. ;
Pike, Lucy C. ;
Weber, Wolfgang A. ;
Stroobants, Sigrid ;
Delbeke, Dominique ;
Donohoe, Kevin J. ;
Holbrook, Scott ;
Graham, Michael M. ;
Testanera, Giorgio ;
Hoekstra, Otto S. ;
Zijlstra, Josee ;
Visser, Eric ;
Hoekstra, Corneline J. ;
Pruim, Jan ;
Willemsen, Antoon ;
Arends, Bertjan ;
Kotzerke, Joerg ;
Bockisch, Andreas ;
Beyer, Thomas ;
Chiti, Arturo ;
Krause, Bernd J. .
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2015, 42 (02) :328-354
[4]   Utility of baseline 18FDG-PET/CT functional parameters in defining prognosis of primary mediastinal (thymic) large B-cell lymphoma [J].
Ceriani, Luca ;
Martelli, Maurizio ;
Zinzani, Pier Luigi ;
Ferreri, Andres J. M. ;
Botto, Barbara ;
Stelitano, Caterina ;
Gotti, Manuel ;
Cabras, Maria Giuseppina ;
Rigacci, Luigi ;
Gargantini, Livio ;
Merli, Francesco ;
Pinotti, Graziella ;
Mannina, Donato ;
Luminari, Stefano ;
Stathis, Anastasios ;
Russo, Eleonora ;
Cavalli, Franco ;
Giovanella, Luca ;
Johnson, Peter W. M. ;
Zucca, Emanuele .
BLOOD, 2015, 126 (08) :950-956
[5]   The 68Ge phantom-based FDG-PET site qualification program for clinical trials adopted by FIL (Italian Foundation on Lymphoma) [J].
Chauvie, Stephane ;
Bergesio, Fabrizio ;
Fioroni, Federica ;
Brambilla, Marco ;
Biggi, Alberto ;
Versari, Annibale ;
Guerra, Luca ;
Storto, Giovanni ;
Musto, Pellegrino ;
Luminari, Stefano ;
Cabras, Maria G. ;
Balzarotti, Monica ;
Rigacci, Luigi ;
Martelli, Maurizio ;
Vitolo, Umberto ;
Federico, Massimo ;
Gallamini, Andrea .
PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS, 2016, 32 (05) :651-656
[6]   Prognostic value of baseline total metabolic tumor volume (TMTV0) measured on FDG-PET/CT in patients with peripheral T-cell lymphoma (PTCL) [J].
Cottereau, A. S. ;
Becker, S. ;
Broussais, F. ;
Casasnovas, O. ;
Kanoun, S. ;
Roques, M. ;
Charrier, N. ;
Bertrand, S. ;
Delarue, R. ;
Bonnet, C. ;
Hustinx, R. ;
Gaulard, P. ;
de Leval, L. ;
Vera, P. ;
Itti, E. ;
Mounier, N. ;
Haioun, C. ;
Tilly, H. ;
Meignan, M. .
ANNALS OF ONCOLOGY, 2016, 27 (04) :719-724
[7]   Molecular Profile and FDG-PET/CT Total Metabolic Tumor Volume Improve Risk Classification at Diagnosis for Patients with Diffuse Large B-Cell Lymphoma [J].
Cottereau, Anne-Segolene ;
Lanic, Helene ;
Mareschal, Sylvain ;
Meignan, Michel ;
Vera, Pierre ;
Tilly, Herve ;
Jardin, Fabrice ;
Becker, Stephanie .
CLINICAL CANCER RESEARCH, 2016, 22 (15) :3801-3809
[8]   Influence of Software Tool and Methodological Aspects of Total Metabolic Tumor Volume Calculation on Baseline [18F] FDG PET to Predict Survival in Hodgkin Lymphoma [J].
Kanoun, Salim ;
Tal, Ilan ;
Berriolo-Riedinger, Alina ;
Rossi, Cedric ;
Riedinger, Jean-Marc ;
Vrigneaud, Jean-Marc ;
Legrand, Louis ;
Humbert, Olivier ;
Casasnovas, Olivier ;
Brunotte, Francois ;
Cochet, Alexandre .
PLOS ONE, 2015, 10 (10)
[9]   Baseline metabolic tumour volume is an independent prognostic factor in Hodgkin lymphoma [J].
Kanoun, Salim ;
Rossi, Cedric ;
Berriolo-Riedinger, Alina ;
Dygai-Cochet, Inna ;
Cochet, Alexandre ;
Humbert, Olivier ;
Toubeau, Michel ;
Ferrant, Emmanuelle ;
Brunotte, Francois ;
Casasnovas, Rene-Olivier .
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, 2014, 41 (09) :1735-1743
[10]  
Meignan M, 2016, J CLIN ONCOL