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The predictive value of treatment response using FDG PET performed on day 21 of chemoradiotherapy in patients with oesophageal squamous cell carcinoma. A prospective, multicentre study (RTEP3)

Overview of attention for article published in European Journal of Nuclear Medicine and Molecular Imaging, May 2013
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Title
The predictive value of treatment response using FDG PET performed on day 21 of chemoradiotherapy in patients with oesophageal squamous cell carcinoma. A prospective, multicentre study (RTEP3)
Published in
European Journal of Nuclear Medicine and Molecular Imaging, May 2013
DOI 10.1007/s00259-013-2450-7
Pubmed ID
Authors

Odré Palie, Pierre Michel, Jean-François Ménard, Caroline Rousseau, Emmanuel Rio, Boumédiene Bridji, Ahmed Benyoucef, Marc-Etienne Meyer, Khadija Jalali, Stéphane Bardet, Che Mabubu M’Vondo, Pierre Olivier, Guillaume Faure, Emmanuel Itti, Christian Diana, Claire Houzard, Françoise Mornex, Frederic Di Fiore, Pierre Vera

Abstract

FDG PET has been suggested to have predictive value in the prognosis of oesophageal carcinoma. However, the retrospective studies reported in the literature have shown discordant results. Additionally, only four studies have evaluated FDG PET during chemoradiotherapy (CRT) in patients with different histological lesions. The purpose of this study was to investigate the predictive value of FDG PET performed early during CRT (on day 21) in a population of patients with oesophageal squamous cell carcinoma.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 2 4%
Unknown 50 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 17%
Researcher 7 13%
Other 6 12%
Student > Doctoral Student 6 12%
Student > Bachelor 3 6%
Other 13 25%
Unknown 8 15%
Readers by discipline Count As %
Medicine and Dentistry 30 58%
Biochemistry, Genetics and Molecular Biology 2 4%
Physics and Astronomy 2 4%
Nursing and Health Professions 1 2%
Computer Science 1 2%
Other 6 12%
Unknown 10 19%