Research Papers:

Initial FDG-PET/CT predicts survival in adults Ewing sarcoma family of tumors

Bastien Jamet _, Thomas Carlier, Loic Campion, Emmanuelle Bompas, Sylvie Girault, Fanny Borrely, Ludovic Ferrer, Maxime Rousseau, Yann Venel, Françoise Kraeber-Bodéré and Caroline Rousseau

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Oncotarget. 2017; 8:77050-77060. https://doi.org/10.18632/oncotarget.20335

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Bastien Jamet1, Thomas Carlier2,3, Loic Campion2,4, Emmanuelle Bompas4, Sylvie Girault5, Fanny Borrely6, Ludovic Ferrer7, Maxime Rousseau1, Yann Venel6, Françoise Kraeber-Bodéré1,2,3 and Caroline Rousseau1,2

1Nuclear Medicine Unit, ICO Cancer Center Gauducheau, Saint Herblain, France

2Nantes-Angers Cancer Research Center, INSERM U892, CNRS UMR 6299, University of Nantes, Nantes, France

3Nuclear Medicine Unit, University Hospital, Nantes, France

4Oncology Unit, ICO Cancer Center Gauducheau, Saint Herblain, France

5Nuclear Medicine Unit, ICO Cancer Center Papin, Angers, France

6Nuclear Medicine Unit, University Hospital Bretonneau, Tours, France

7Physics Unit, ICO Cancer Center Gauducheau, Saint Herblain, France

Correspondence to:

Bastien Jamet, email: [email protected]

Keywords: FDG-PET/CT, oncology, Ewing sarcoma family of tumors, survival analysis, prognosis

Received: May 11, 2017     Accepted: June 27, 2017     Published: August 18, 2017


Purpose: The aim of this retrospective study was to determine, at baseline, the prognostic value of different FDG-PET/CT quantitative parameters in a homogenous Ewing Sarcoma Family of Tumors (ESFT) adult population, compared with clinically relevant prognostic factors.

Methods: Adult patients from 3 oncological centers, all with proved ESFT, were retrospectively included. Quantitative FDG-PET/CT parameters (SUV (maximum, peak and mean), metabolic tumor volume (MTV) and total lesion glycolysis (TLG) of the primary lesion of each patient were recorded before treatment, as well as usual clinical prognostic factors (stage of disease, location, tumor size, gender and age). Then, their relation with progression free survival (PFS) and overall survival (OS) was evaluated.

Results: 32 patients were included. Median age was 21 years (range, 15 to 61). Nineteen patients (59%) were initially metastatic. On multivariate analysis, high SUVmax remained independent predictor of worst OS (p=0.02) and PFS (p=0.019), metastatic disease of worst PFS (p=0.01) and high SUVpeak of worst OS (p=0.01). Optimal prognostic cut-off of SUVpeak was found at 12.5 in multivariate analyses for PFS and OS (p=0.0001).

Conclusions: FDG-PET/CT, recommended at ESFT diagnosis for initial staging, can be a useful tool for predicting long-term adult patients outcome through semi-quantitative parameters.

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