In the diagnosis of giant cell arteritis (GCA) with aortic involvement, ¹⁸F-FDG PET has been demonstrated to be a powerful tool. No other imaging method is able to directly detect acute inflammation within the aortic wall. However, because GCA is a rare PET indication, the assessment of GCA with ¹⁸F-FDG PET remains difficult and highly dependent on the experience of the investigator. This study aimed to semiquantify the relationship between aortic and liver uptake and to introduce a receiver operating characteristic (ROC)–based cutoff ratio to allow investigator- and experience-independent GCA diagnosis with optimal sensitivity and specificity. Ratios of aortic wall uptake versus liver uptake were calculated in a group of GCA patients and a control group. These data were assessed in an ROC analysis, and finally, a cutoff-ratio–optimizing strategy was applied. Methods: Twenty-three patients with initially suspected GCA (18 positive for GCA criteria, 5 negative) and 36 matched controls were included. The control subjects underwent PET for oncologic diagnostics. None had intrathoracic or hepatic disease or therapy-related tracer accumulation. Additionally, physiologic liver metabolism was ensured by the presence of normal liver enzymes. After defining regions of interest over the thoracic aorta and the liver, we calculated maximal standardized uptake value ratios. Sensitivities and specificities for cutoff ratios from 0.1 to 2.5 were estimated and were ultimately used to assess an optimal cutoff ratio for separating GCA patients from controls. To further investigate the usefulness of the resulting cutoff ratio, we tested it in a second control group with changed hepatic metabolism and elevated liver enzymes. Results: ROC analysis revealed optimal selectivity for a cutoff ratio of 1.0. This ratio led to a sensitivity of 88.9%, a specificity of 95.1%, and an accuracy of 94.4%. When this aorta-to-liver ratio was applied to the control group with pathologic liver metabolism, the resulting specificity was 95.6%. Conclusion: The ¹⁸F-FDG PET region-of-interest analysis with aorta-to-liver maximal standardized uptake value ratios is a reliable, investigator-independent indicator of GCA not affected by minor inflammation-associated changes in hepatic metabolism. Our results for a cutoff ratio of 1.0 prove that ¹⁸F-FDG PET is a method of high sensitivity and specificity for GCA-related large-vessel inflammation.

Background: In pediatric Hodgkin’s lymphoma (pHL) early response-to-therapy prediction is metabolically assessed by (18)F-FDG PET carrying an excellent negative predictive value (NPV) but an impaired positive predictive value (PPV). Aim of this study was to improve the PPV while keeping the optimal NPV. A comparison of different PET data analyses was performed applying individualized standardized uptake values (SUV), PET-derived metabolic tumor volume (MTV) and the product of both parameters, termed total lesion glycolysis (TLG); Methods: One-hundred-eight PET datasets (PET1, n = 54; PET2, n = 54) of 54 children were analysed by visual and semi-quantitative means. SUVmax, SUVmean, MTV and TLG were obtained the results of both PETs and the relative change from PET1 to PET2 (Δ in %) were compared for their capability of identifying responders and non-responders using receiver operating characteristics (ROC)-curves. In consideration of individual variations in noise and contrasts levels all parameters were additionally obtained after threshold correction to lean body mass and background; Results: All semi-quantitative SUV estimates obtained at PET2 were significantly superior to the visual PET2 analysis. However, ΔSUVmax revealed the best results (area under the curve, 0.92; p < 0.001; sensitivity 100%; specificity 85.4%; PPV 46.2%; NPV 100%; accuracy, 87.0%) but was not significantly superior to SUVmax-estimation at PET2 and ΔTLGmax. Likewise, the lean body mass and background individualization of the datasets did not impove the results of the ROC analyses; Conclusions: Sophisticated semi-quantitative PET measures in early response assessment of pHL patients do not perform significantly better than the previously proposed ΔSUVmax. All analytical strategies failed to improve the impaired PPV to a clinically acceptable level while preserving the excellent NPV.

This aim of this retrospective study was to determine the impact of glucocorticoid therapy on the effective ¹³¹I half-life in radioiodine therapy for Graves disease. Methods: Three hundred fifteen consecutive Graves disease patients undergoing radioiodine therapy at our institution between August 2004 and January 2009 were enrolled. We investigated the influences of thyroid state (hypothyroidism, euthyroidism, hyperthyroidism), antithyroid drug dose before ¹³¹I therapy, thyroid-stimulating hormone receptor antibody (TRAb) level, and qualitative and quantitative factors of prednisolone therapy on the effective ¹³¹I half-life, applying univariate (paired t test) and multivariate (multiple-regression) analyses. Results: Multivariate analyses revealed independent significant effects of the thyroid metabolic state (P = 0.004), antithyroid drugs (P < 0.001), presence of TRAb (P = 0.004), and glucocorticoids (P = 0.046) on thyroidal radioiodine half-life. Compared with euthyroidism, thyrotoxicosis and hypothyroidism reduced the effective half-life; high doses of antithyroid drugs and high TRAb levels had the same effect. Also, glucocorticoid therapy shortened the effective thyroidal radioiodine half-life in a dose-dependent manner. Pharmacologically, this effect is attributable to the prednisolone-induced increase of renal plasma ¹³¹I clearance and the resulting reduction of plasma ¹³¹I available for reuptake into the thyroid during radioiodine therapy. Conclusion: Oral treatment with prednisolone results in a reduction of effective thyroidal ¹³¹I half-life in Graves disease, especially at higher doses.