The Prognostic Value of Whole-Body Suvmax of Nodal and Extranodal Lesions Detected By 18F-FDG PET-CT in Patients with Extranodal NK/T-Cell Lymphoma

Purpose The aim of this study was to determine whether the sum of the SUVmax of all the nodal and extranodal lesions can predict prognosis in patients with extranodal natural killer/T-cell lymphoma (ENKTL). Methods We conducted a retrospective analysis of 54 patients with newly-diagnosed ENKTL who underwent pretreatment 18F-FDG PET/CT. Three new models (WB1SUVmax, WB2SUVmax, WB3SUVmax) on the basis of the whole-body SUVmax of 11 nodal lesions (waldeyer ring, neck, infraclvicular, axillary and pectoral, mediastinal, hilar, spleen, paraaortic, mesenteric, lilac, inguinal and femoral) and 10 extranodal lesions (upper aerodigestive tract, skin/subsutaneous, central nervous system and spinal canal, lung, myocardium, bone and bone marrow, bowel, renal and adrenal, liver and testis) were designed to predict the overall survival (OS) and progression-free survival (PFS) Results During follow-up period (median 33.2 months), 31 patients showed disease progression and 28 patients died from the disease. Receiver operating characteristics curve analysis showed cut-off values for SUVmax, WB1SUVmax, WB2SUVmax, WB3SUVmax of 9.9 (sensitivity 82.6%, specificity 50%, AUC 0.658, P =0.060), 16.0 (sensitivity 87.00%, specificity 68.20, AUC 0.742, P =0.002), 15.8 (sensitivity 86.96%, specificity 68.18%, AUC 0.800, P Conclusion Our results demonstrated the importance of the WBSUVmax, which was calculated on the basis of the sum of the SUVmax of 11 nodal and 10 extranodal lesions, as a prognostic factor in ENKTL patients. The use of WBSUVmax together with the IPI score may be useful for better prognostic discrimination in the future. Table 1. Univariate and multivariate Cox regression analysis for PFS and OS Univariate analysis (OS) Multivariate analysis (OS) Univariate analysis (PFS) Multivariate analysis (PFS) Characteristic HR (95%CI) P HR (95%CI) P HR (95%CI) P HR (95%CI) P WB3SUVmax£¾15.8 6.67 (2.48-17.92) 60 years 1.79 (0.32-1.95) 0.611 -- -- 1.72 (0.30-1.78) 0.489 -- -- ECOG PS>1 2.14 (0.73-6.21) 0.162 -- -- 1.89 (0.66-5.42) 0.239 -- -- LDH>ULN 7.64 (2.87-20.33) Figure 1. ROC curve analyses for identification of the optimal cut-off values of PET parameters predicting survival in patients with ENKTL Figure 1. ROC curve analyses for identification of the optimal cut-off values of PET parameters predicting survival in patients with ENKTL Disclosures No relevant conflicts of interest to declare.