4.4 Article

Prognostic value of functional tumor burden on 68Ga-DOTATOC PET/CT in patients with pancreatic neuro-endocrine tumors

Journal

NEOPLASMA
Volume 66, Issue 1, Pages 140-148

Publisher

AEPRESS SRO
DOI: 10.4149/neo_2018_180328N209

Keywords

Ga-68-DOTATOC; positron emission tomography; pancreatic neuroendocrine tumors; functional tumor volume; prognostic biomarker

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Funding

  1. Assistance Publique Hopitaux de Paris (AP-HP) [P040303 EUDRACT 2007-002610-19]

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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 (maxSUZ(max)) 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 Ga-68-DOTATOC PET From patients who underwent Ga-68-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 13.8 cm(3). Multivariate analysis determined that TFTV greater than 13.8 cm(3) 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. >= 13.8 cm(3): 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.

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