Einspieler, Ingo and Mergen, Victor and Wendorff, Heiko and Haller, Bernhard and Eiber, Matthias and Schwaiger, Markus and Nekolla, Stephan G. and Mustafa, Mona (2020) Diagnostic performance of quantitative and qualitative parameters for the diagnosis of aortic graft infection using [F-18]-FDG PET/CT. JOURNAL OF NUCLEAR CARDIOLOGY. ISSN 1071-3581, 1532-6551
Full text not available from this repository. (Request a copy)Abstract
Purpose The aim of this study was the evaluation of quantitative and qualitative parameters for the diagnosis of aortic graft infection (AGI) using [F-18]-FDG PET/CT. Methods PET/CT was performed in 50 patients with clinically suspected AGI. 12 oncological patients with aortic repair but without suspicion of AGI were included in the analysis to serve as control cohort. The [F-18]-FDG uptake pattern around the graft was assessed using (a) a five-point visual grading scale (VGS), (b) SUV(max)and (c) different graft-to-background ratios (GBRs). The diagnostic performance of VGS, SUV(max)and GBRs was assessed and compared by ROC analysis. Results 28 infected and 34 uninfected grafts were identified by standard of reference. SUV(max)and VGS were the most powerful predictors for the diagnosis of AGI according to the area under the curve (AUC 0.988 and 0.983, respectively) without a significant difference compared to GBRs. SUV(max)and VGS showed congruent and accurate findings in 54 patients (i.e. either both positive or negative), yielding sensitivity and specificity (100%) in this subgroup of patients. Conclusion Quantitative analysis by SUV(max)and qualitative analysis by VGS are highly effective in the diagnosis of AGI and should be tested as an outcome measure in prospective trials.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | POSITRON-EMISSION-TOMOGRAPHY; Infection; Inflammation; PET; CT; Hybrid imaging; Multimodality |
| Subjects: | 600 Technology > 610 Medical sciences Medicine |
| Divisions: | Medicine > Lehrstuhl für Röntgendiagnostik |
| Depositing User: | Petra Gürster |
| Date Deposited: | 24 Mar 2021 07:48 |
| Last Modified: | 24 Mar 2021 07:48 |
| URI: | https://pred.uni-regensburg.de/id/eprint/45364 |
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