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neo_2018_180328N209

Title: Prognostic value of functional tumor burden on 68Ga-DOTATOC PET/CT in patients with pancreatic neuro-endocrine tumors
Author: J. Ohnona, V. Nataf, M. Gauthé, S. Balogova, O. Bélissant Benesty, J. Zhang-Yin, J-N. Talbot, F. Montravers

Abstract: Despite their relative quiescence, pancreatic neuro-endocrine tumors (pNET) can correspond to various presentations and outcomes. Several prognostic factors have been identified, including maximal standardized uptake value of the most intense focus (maxSUVmax) on Positron Emission Tomography (PET) with a somatostatin analogue. Herein, we investigate the prognostic value on progression free-survival of the total functional tumor volume (TFTV) measured by 68Ga-DOTATOC PET. From patients who underwent 68Ga-DOTATOC PET from 2008 to 2014, we selected consecutive patients with G1 or G2 pNET (2010 World Health Organization classification), at least one abnormal focus on PET and available follow-up data. TFTV was computed by summing the volumes of all pathological foci, delineated use of 41% of its SUVmax for each threshold focus. Fifty patients were included. During the follow-up period, 33 patients had stable or responsive disease (66%; median duration 28.5 months; range 6.3- 77.7 months) and 17 patients experienced disease progression (34%; median progression time 21 months; range 6.7 - 44.7 months). Median PFS was 43.5 months. The best TFTV cut-off for predicting progression within 24 months was 13.8cm3. Multivariate analysis determined that TFTV greater than 13.8cm3 was the only criterion considered a significant risk factor for tumor progression (HR 2.9; p=0.0003). A significant difference in PFS was observed for TFTV (<13.8 vs. ≥ 13.8cm3: median not reached vs. 25 months; p=0.0001).
Our study suggests that 68Ga-DOTATOC TFTV measured on PET images is a valuable prognostic biomarker in patients with well-differentiated pNETs of all stages.

Keywords: 68Ga-DOTATOC; Positron Emission Tomography; pancreatic neuroendocrine tumors; functional tumor volume; prognostic biomarker
Published online: 17-Oct-2018
Year: , Volume: , Issue: Page From: , Page To:
doi:10.4149/neo_2018_180328N209


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