title: Evaluation of quantitative criteria for glioma grading with static and dynamic 18F-FDopa PET/CT.
abstract: OBJECTIVE
  The aim of this study was to compare various acquisition and processing protocols for noninvasive glioma grading using either static or dynamic (18)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, SUV(mean) and SUV(max) 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 SUV(mean) 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 SUV(mean) calculated from a 5-minute acquisition started at 38 minutes after injection.
authors: Hôpital d'Instruction des Armées du Val-de-Grâce 74, bd du Port Royal, Paris, France. christophe.nioche@gmail.com
authors: Christophe
authors: C
authors: Nioche
authors: Marine
authors: M
authors: Soret
authors: Eric
authors: E
authors: Gontier
authors: Marion
authors: M
authors: Lahutte
authors: Guillaume
authors: G
authors: Dutertre
authors: Renaud
authors: R
authors: Dulou
authors: Laurent
authors: L
authors: Capelle
authors: Rémy
authors: R
authors: Guillevin
authors: Hervé
authors: H
authors: Foehrenbach
authors: Irène
authors: I
authors: Buvat
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001932:Brain Neoplasms / Q000000981:diagnostic imaging* / Q000473:pathology*; D004295:Dihydroxyphenylalanine / Q000031:analogs & derivatives*; D005260:Female; D005910:Glioma / Q000000981:diagnostic imaging* / Q000473:pathology*; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008297:Male; D008875:Middle Aged; D064847:Multimodal Imaging / Q000379:methods*; D060787:Neoplasm Grading; D009361:Neoplasm Invasiveness; D049268:Positron-Emission Tomography; D013997:Time Factors; D014057:Tomography, X-Ray Computed; D055815:Young Adult
chemical_list: C043437:fluorodopa F 18; D004295:Dihydroxyphenylalanine