scholarly journals Does FDG-PET-CT based Re-Staging Influences Initial Management Decision and Clinical Outcome in Patients with locally advanced Pancreatic Carcinoma Planned to Undergo Chemoradiotherapy?

2012 ◽  
Vol 23 ◽  
pp. ix237
Author(s):  
C. Parlak ◽  
O.C. Guler ◽  
U. Selek ◽  
O. Ozyilkan ◽  
E. Topkan
2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Riccardo Caruso ◽  
Emilio Vicente ◽  
Yolanda Quijano ◽  
Hipolito Duran ◽  
Isabel Fabra ◽  
...  

Abstract Objectives Neoadjuvant chemoradiation (nCRT) is universally considered to be a valid treatment to achieve downstaging, to improve local disease control and to obtain better resectability in locally advanced rectal cancer (LARC). The aim of this study is to correlate the change in the tumour 18F-FDG PET-CT standardized uptake value (SUV) before and after nCRT, in order to obtain an early prediction of the pathologic response (pR) achieved in patients with LARC. Data description We performed a retrospective analysis of patients with LARC diagnosis who underwent curative resection. All patients underwent a baseline 18F-FDG PET-CT scan within the week prior to the initiation of the treatment (PET-CT SUV1) and a second scan (PET-CT SUV2) within 6 weeks of the completion of nCRT. We evaluated the prognostic value of 18F-FDG PET-CT in terms of disease-free survival (DFS) and overall survival (OS) in patients with LARC.A total of 133 patients with LARC were included in the study. Patients were divided in two groups according to the TRG (tumour regression grade): 107 (80%) as the responders group (TRG0-TRG1) and 26 (25%) as the no-responders group (TRG2-TRG3). We obtained a significant difference in Δ%SUV between the two different groups; responders versus no-responders (p < 0.012). The results of this analysis show that 18F-FDG PET-CT may be an indicator to evaluate the pR to nCRT in patients with LARC. The decrease in 18F-FDG PET-CT uptake in the primary tumour may offer important information in order for an early identification of those patients more likely to obtain a pCR to nCRT and to predict those who are unlikely to significantly regress.


2014 ◽  
Vol 17 (2) ◽  
pp. 139-144 ◽  
Author(s):  
F. Arias ◽  
V. Chicata ◽  
M. J. García-Velloso ◽  
G. Asín ◽  
M. Uzcanga ◽  
...  

2005 ◽  
Vol 76 (1) ◽  
pp. 48-53 ◽  
Author(s):  
Morten Hoyer ◽  
Henrik Roed ◽  
Lisa Sengelov ◽  
Anders Traberg ◽  
Lars Ohlhuis ◽  
...  

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