title: Diagnostic performance of 18F-FET PET in newly diagnosed cerebral lesions suggestive of glioma.
abstract: The aim of this study was to assess the clinical value of O-(2-(18)F-fluoroethyl)-l-tyrosine ((18)F-FET) PET in the initial diagnosis of cerebral lesions suggestive of glioma.
  
  
  METHODS
  In a retrospective study, we analyzed the clinical, radiologic, and neuropathologic data of 174 patients (77 women and 97 men; mean age, 45 ± 15 y) who had been referred for neurosurgical assessment of unclear brain lesions and had undergone (18)F-FET PET. Initial histology (n = 168, confirmed after surgery or biopsy) and the clinical course and follow-up MR imaging in 2 patients revealed 66 high-grade gliomas (HGG), 77 low-grade gliomas (LGG), 2 lymphomas, and 25 nonneoplastic lesions (NNL). In a further 4 patients, initial histology was unspecific, but during the course of the disease all patients developed an HGG. The diagnostic value of maximum and mean tumor-to-brain ratios (TBR(max/)TBR(mean)) of (18)F-FET uptake was assessed using receiver-operating-characteristic (ROC) curve analyses to differentiate between neoplastic lesions and NNL, between HGG and LGG, and between high-grade tumor (HGG or lymphoma) and LGG or NNL.
  
  
  RESULTS
  Neoplastic lesions showed significantly higher (18)F-FET uptake than NNL (TBR(max), 3.0 ± 1.3 vs. 1.8 ± 0.5; P < 0.001). ROC analysis yielded an optimal cutoff of 2.5 for TBR(max) to differentiate between neoplastic lesions and NNLs (sensitivity, 57%; specificity, 92%; accuracy, 62%; area under the curve [AUC], 0.76; 95% confidence interval [CI], 0.68-0.84). The positive predictive value (PPV) was 98%, and the negative predictive value (NPV) was 27%. ROC analysis for differentiation between HGG and LGG (TBR(max), 3.6 ± 1.4 vs. 2.4 ± 1.0; P < 0.001) yielded an optimal cutoff of 2.5 for TBR(max) (sensitivity, 80%; specificity, 65%; accuracy, 72%; AUC, 0.77; PPV, 66%; NPV, 79%; 95% CI, 0.68-0.84). Best differentiation between high-grade tumors (HGG or lymphoma) and both NNL and LGG was achieved with a TBR(max) cutoff of 2.5 (sensitivity, 79%; specificity, 72%; accuracy, 75%; AUC, 0.79; PPV, 65%; NPV, 84%; 95% CI, 0.71-0.86). The results for TBR(mean) were similar with a cutoff of 1.9.
  
  
  CONCLUSIONS
  (18)F-FET uptake ratios provide valuable additional information for the differentiation of cerebral lesions and the grading of gliomas. TBR(max) of (18)F-FET uptake beyond the threshold of 2.5 has a high PPV for detection of a neoplastic lesion and supports the necessity of an invasive procedure, for example, biopsy or surgical resection. Low (18)F-FET uptake (TBR(max) < 2.5) excludes a high-grade tumor with high probability.
authors.affiliation: Department of Neurosurgery, Heinrich-Heine University, Düsseldorf, Germany.
authors.forename: Marion
authors.initials: M
authors.lastname: Rapp
authors.forename: Alexander
authors.initials: A
authors.lastname: Heinzel
authors.forename: Norbert
authors.initials: N
authors.lastname: Galldiks
authors.forename: Gabriele
authors.initials: G
authors.lastname: Stoffels
authors.forename: Jörg
authors.initials: J
authors.lastname: Felsberg
authors.forename: Christian
authors.initials: C
authors.lastname: Ewelt
authors.forename: Michael
authors.initials: M
authors.lastname: Sabel
authors.forename: Hans J
authors.initials: HJ
authors.lastname: Steiger
authors.forename: Guido
authors.initials: G
authors.lastname: Reifenberger
authors.forename: Thomas
authors.initials: T
authors.lastname: Beez
authors.forename: Heinz H
authors.initials: HH
authors.lastname: Coenen
authors.forename: Frank W
authors.initials: FW
authors.lastname: Floeth
authors.forename: Karl-Josef
authors.initials: KJ
authors.lastname: Langen
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D019540:Area Under Curve; D001932:Brain Neoplasms / Q000175:diagnosis* / Q000000981:diagnostic imaging*; D002648:Child; D002675:Child, Preschool; D005260:Female; D005910:Glioma / Q000175:diagnosis* / Q000000981:diagnostic imaging*; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods; D008297:Male; D008875:Middle Aged; D049268:Positron-Emission Tomography / Q000379:methods*; D011237:Predictive Value of Tests; D012372:ROC Curve; D012189:Retrospective Studies; D012680:Sensitivity and Specificity; D014443:Tyrosine / Q000031:analogs & derivatives* / Q000494:pharmacology
chemical_list: C545932:(18F)fluoroethyltyrosine; D014443:Tyrosine