Diagnostic Performance of F-18-FET PET in Newly Diagnosed Cerebral Lesions Suggestive of Glioma

作者:Rapp Marion; Heinzel Alexander; Galldiks Norbert; Stoffels Gabriele; Fel**erg Joerg; Ewelt Christian; Sabel Michael; Steiger Hans J; Reifenberger Guido; Beez Thomas; Coenen Heinz H; Floeth Frank W; Langen Karl Josef*
来源:Journal of Nuclear Medicine, 2013, 54(2): 229-235.
DOI:10.2967/jnumed.112.109603

摘要

The aim of this study was to assess the clinical value of O-(2-F-18-fluoroethyl)-L-tyrosine (F-18-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 F-18-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 (TBRmax/TBRmean) of F-18-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 F-18-FET uptake than NNL (TBRmax, 3.0 +/- 1.3 vs. 1.8 +/- 0.5; P %26lt; 0.001). ROC analysis yielded an optimal cutoff of 2.5 for TBRmax 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 (TBRmax, 3.6 +/- 1.4 vs. 2.4 +/- 1.0; P %26lt; 0.001) yielded an optimal cutoff of 2.5 for TBRmax (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 TBRmax 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 TBRmean were similar with a cutoff of 1.9. Conclusion: F-18-FET uptake ratios provide valuable additional information for the differentiation of cerebral lesions and the grading of gliomas. TBRmax of F-18-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 F-18-FET uptake (TBRmax %26lt; 2.5) excludes a high-grade tumor with high probability.

  • 出版日期2013-2-1