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AbstractAbstract
[en] "1"8F-FDG plays a major role in oncology. Accurate estimation of the tumor metabolic activity and metabolically-active volume from the images would considerably enhance the usefulness of the PET data. However, there is still no consensus on the most accurate methods for estimating these parameters. An original method estimating simultaneously the tumor volume and metabolic activity (measured by the SUV) has been developed. The method fits a model to the data. We compared its performances to 4 volume estimation methods and to 9 SUV estimation methods using phantom and simulated data. Using several optimization and validation procedures, we showed that two methods (including the proposed method) yielded more accurate and less variable estimates of volume and activity than the others. The results concerning the activity estimates were confirmed using patient data. Two tests assessing the significance of SUV change between two scans were also proposed. The first test uses several SUV indices from a standard PET scan. The second test takes advantage of 8 estimates of a single SUV index calculated from 8 images obtained using a respiratory-gated acquisition. Using simulated data, both tests properly detected real SUV changes. The second test was more efficient than the first but unlike the second test, the first test could be readily applied to any PET scan. These tests will now be assessed clinically to determine whether they can indeed facilitate PET-based therapy monitoring. (author)
[fr]
La tomographie d'emission de positons (TEP) au "1"8F-FDG joue un role majeur en oncologie. L'estimation precise de l'activite metabolique de la tumeur et de son volume metaboliquement actif a partir des images enrichirait considerablement la valeur des donnees TEP. Cependant, aucun consensus n'existe sur la facon la plus precise d'estimer ces parametres. Une methode originale d'estimation simultanee de volume et d'activite metabolique (mesuree par le SUV) a ete developpee. Elle repose sur l'ajustement d'un modele aux donnees. Nous avons compare ses performances a 4 methodes d'estimation de volume et 9 methodes d'estimation de SUV sur des donnees provenant de fantomes et de simulations. Grace a plusieurs procedures d'optimisation et de validation, nous avons montre que deux methodes (dont la methode proposee) estimaient le volume et l'activite de facon plus precise que les autres. Les resultats sur l'estimation d'activite ont pu etre confirmes sur des images de patients. Deux tests permettant d'evaluer la significativite de l'evolution de SUV entre deux examens ont aussi ete proposes. Le premier exploite plusieurs indices SUV a partir d'un examen TEP standard. Le second calcule le meme indice sur 8 images issues d'une acquisition TEP synchronisee a la respiration. Sur des donnees simulees, les deux tests montrent de tres bonnes performances de detection des evolutions reelles de SUV. La seconde approche est plus efficace mais la premiere s'applique a tout type d'examen. Ces performances permettent d'envisager l'evaluation clinique de ces methodes en vue de leur utilisation en routine pour faciliter le suivi therapeutique a partir des images TEP. (auteur)Original Title
Caracterisation des tumeurs et de leur evolution en TEP/TDM au "1"8F-FDG
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17 Nov 2009; 218 p; 253 refs.; Available from the INIS Liaison Officer for France, see the 'INIS contacts' section of the INIS website for current contact and E-mail addresses: http://www.iaea.org/inis/Contacts/; These Docteur en sciences de l'Universite Paris-Sud XI, Specialite: Physique
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