Document Detail


Evaluation of Quantitative Criteria for Glioma Grading With Static and Dynamic 18F-FDopa PET/CT.
MedLine Citation:
PMID:  23334119     Owner:  NLM     Status:  In-Data-Review    
Abstract/OtherAbstract:
PURPOSE: The aim of this study was to compare various acquisition and processing protocols for noninvasive glioma grading using either static or dynamic F-FDopa PET.
METHODS: Dynamic studies were performed in 33 patients. Based on histopathological analysis, 18 patients had a high-grade (HG) tumor and 15 patients had a low-grade (LG) tumor. For static imaging, SUVmean and SUVmax were calculated for different acquisition time ranges after injection. For dynamic imaging, the transport rate constant k1 was calculated according to a compartmental kinetic analysis using an image-derived input function.
RESULTS: With the use of a 5-minute static imaging protocol starting at 38 minutes after injection, newly diagnosed HG tumors could be distinguished from LG tumors with a sensitivity of 70% and a specificity of 90% with a threshold of SUVmean of 2.5. In recurrent tumors, a sensitivity of 100% and a specificity of 80% for identifying HG tumors were obtained with a threshold set to 1.8. Dynamic imaging only slightly, but nonsignificantly, improved differential diagnosis.
CONCLUSIONS: Static and dynamic imaging without blood sampling can discriminate between LG and HG for both newly diagnosed and recurrent gliomas. In dynamic imaging, excellent discrimination was obtained by considering the transport rate constant k1 of tumors. In static imaging, the best discrimination based on SUV was obtained for SUVmean calculated from a 5-minute acquisition started at 38 minutes after injection.
Authors:
Christophe Nioche; Marine Soret; Eric Gontier; Marion Lahutte; Guillaume Dutertre; Renaud Dulou; Laurent Capelle; Rémy Guillevin; Hervé Foehrenbach; Irène Buvat
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Clinical nuclear medicine     Volume:  38     ISSN:  1536-0229     ISO Abbreviation:  Clin Nucl Med     Publication Date:  2013 Feb 
Date Detail:
Created Date:  2013-01-21     Completed Date:  -     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  7611109     Medline TA:  Clin Nucl Med     Country:  United States    
Other Details:
Languages:  eng     Pagination:  81-7     Citation Subset:  IM    
Affiliation:
From the *Hôpital d'Instruction des Armées du Val-de-Grâce 74, bd du Port Royal; †UMR 678 INSERM AP-HP Groupe Hospitalier Pitié-Salpêtrière, Paris; and ‡UMR 8165 CNRS Imagerie et Modélisation en Neurobiologie et Cancérologie Orsay, France.
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