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  4. Overview of the Predictive Value of Quantitative 18 FDG PET in Head and Neck Cancer Treated with Chemoradiotherapy
 
research article

Overview of the Predictive Value of Quantitative 18 FDG PET in Head and Neck Cancer Treated with Chemoradiotherapy

Castelli, J.
•
De Bari, B.
•
Depeursinge, A.
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2016
Critical Reviews in Oncology/Hematology

18 F-fluorodeoxyglucose (18F-FDG) positron emission tomography/computed tomography (PET/CT) allows to quantify the metabolic activity of a tumor (glycolysis) and has become a reference tool in oncology for the staging, restaging, radiotherapy planning and monitoring response in many cancers. Quantitative analyses have been introduced in order to overcome some of the limits of the visual methods, allowing an easier and more objective comparison of the inter- and intra-patients variations. The aims of this review were to report available evidences on the clinical value of quantitative PET/CT parameters in HNC. Forty-five studies, for a total of 2928 patients, were analyzed. Most of the data available dealt with the intensity of the metabolism, calculated from the Standard Uptake Value (SUV). Metabolic Tumor Volume(MTV) was well correlated with overall survival and disease free survival, with a higher predictive value than the maximum SUV. Spatial distribution of metabolism and textural analyses seems promising.

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Type
research article
DOI
10.1016/j.critrevonc.2016.10.009
Web of Science ID

WOS:000390719700005

Author(s)
Castelli, J.
De Bari, B.
Depeursinge, A.
Simon, A.
Devillers, A.
Jimenez, G.R.
Prior, J.
Ozsahin, M.
de Crevoisier, R.
Bourhis, J.
Date Issued

2016

Publisher

Elsevier

Published in
Critical Reviews in Oncology/Hematology
Volume

108

Start page

40

End page

51

Subjects

PET

•

Head and neck cancer

•

Chemoradiotherapy

•

Clinical outcome

URL

URL

http://bigwww.epfl.ch/publications/castelli1601.html

URL

http://bigwww.epfl.ch/publications/castelli1601.pdf

URL

http://bigwww.epfl.ch/publications/castelli1601.ps
Editorial or Peer reviewed

REVIEWED

Written at

EPFL

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Available on Infoscience
January 19, 2017
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/133037
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