PET Pronostic Biomarkers Exploratory Analyses About Initial FDG-PET In Patients With Anal Carcinoma

Archive ouverte

Testard, A. | Le Thiec, M. | Ferrer, Ludovic | Guillerminet, C. | Morel, O. | Kraeber-Bodéré, Françoise | Rousseau, Caroline

Edité par CCSD ; Springer Verlag (Germany) [1976-....] -

International audience. Introduction: In anal squamous cell carcinoma (SCC), pre-treatment prognostic factors able to identify more accurately patients with high risk of recurrence who may benefit from optimized treatment are lacking. There are increasing evidences that FDG PET examinations are useful in anal SCC management. Our objective was to explore, by two different analyses, the value of pre-treatment quantitative imaging to predict progression-free survival (PFS) in anal SCC patients. Subjects & Methods: We conducted a retrospective study on FDG PET examinations for 81 consecutive anal SCC patients at initial staging. Along with clinical variables (age, sex, T-stage, N-stage, HIV and human papilloma virus infections) collection, tumor and lymph nodes (LN) FDG metrics (SUVmax, TLG, MTV) were measured using 7 3D-thresholding methods on PET images: 3 with fixed SUVmax threshold (T35%, T41% and T50%) and 4 adaptative methods [M11, M22, M33, M44]. Each semi-quantitative PET variable is associated with 26 events free survival as a residual disease, local recurrence, distant metastasis or deaths at 0.10 threshold in univariate analysis. A multivariate analysis was conducted with an AIC criterion based Cox model. Evidence ratio (ER) was calculated for each model when PET variable remained significant after adjustment. Due to a small sized cohort with few events compared to the information to be processed, 2 analyses were conducted according to 4 quartiles and median FDG quantitative parameters respectively. Results: Six (7.5%), 18 (22.2%), 39 (48.1%) and 18 (22.2%) patients had respectively disease of stage I to IV. Median follow up was 3.3y (2.5-5y). As clinical data, male sex was the uniquely prognostic biomarker (HR: 3.32; CI: 1.38-8.02; p=0.007) of progression free survival (PFS) on univariate analysis. Out of the 57 tumor image intensity features, only 27 were predictive of PFS (0.0032

• Description
• Sujet/Public
• Outil
• Outil d'anticipation
• Mémoire et thèse
• Gestion