Journal Article FZJ-2015-05820

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The use of dynamic O-(2-18F-fluoroethyl)-L-tyrosine PET in the diagnosis of patients with progressive and recurrent glioma

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2015
Oxford Univ. Press Oxford

Neuro-Oncology 17(9), 1293-1300 () [10.1093/neuonc/nov088]

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Abstract: Background We evaluated the diagnostic value of static and dynamic O-(2-[18F]fluoroethyl)-l-tyrosine (18F-FET) PET parameters in patients with progressive or recurrent glioma.Methods We retrospectively analyzed 132 dynamic 18F-FET PET and conventional MRI scans of 124 glioma patients (primary World Health Organization grade II, n = 55; grade III, n = 19; grade IV, n = 50; mean age, 52 ± 14 y). Patients had been referred for PET assessment with clinical signs and/or MRI findings suggestive of tumor progression or recurrence based on Response Assessment in Neuro-Oncology criteria. Maximum and mean tumor/brain ratios of 18F-FET uptake were determined (20–40 min post-injection) as well as tracer uptake kinetics (ie, time to peak and patterns of the time–activity curves). Diagnoses were confirmed histologically (95%) or by clinical follow-up (5%). Diagnostic accuracies of PET and MR parameters for the detection of tumor progression or recurrence were evaluated by receiver operating characteristic analyses/chi-square test.Results Tumor progression or recurrence could be diagnosed in 121 of 132 cases (92%). MRI and 18F-FET PET findings were concordant in 84% and discordant in 16%. Compared with the diagnostic accuracy of conventional MRI to diagnose tumor progression or recurrence (85%), a higher accuracy (93%) was achieved by 18F-FET PET when a mean tumor/brain ratio ≥2.0 or time to peak <45 min was present (sensitivity, 93%; specificity, 100%; accuracy, 93%; positive predictive value, 100%; P < .001).Conclusion Static and dynamic 18F-FET PET parameters differentiate progressive or recurrent glioma from treatment-related nonneoplastic changes with higher accuracy than conventional MRI.

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Contributing Institute(s):
  1. Kognitive Neurowissenschaften (INM-3)
  2. Physik der Medizinischen Bildgebung (INM-4)
  3. JARA-BRAIN (JARA-BRAIN)
Research Program(s):
  1. 573 - Neuroimaging (POF3-573) (POF3-573)

Appears in the scientific report 2015
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Medline ; Allianz-Lizenz / DFG ; Current Contents - Clinical Medicine ; IF >= 5 ; JCR ; NCBI Molecular Biology Database ; NationallizenzNationallizenz ; SCOPUS ; Science Citation Index Expanded ; Thomson Reuters Master Journal List ; Web of Science Core Collection
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 Record created 2015-09-23, last modified 2022-09-30


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