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Performance of [ 18 F]FDG PET/CT in Diagnosing Cyst Infections in Patients with Autosomal Dominant Polycystic Kidney Disease: A Systematic Review and a Bivariate Meta-Analysis.
- Source :
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Diagnostics (Basel, Switzerland) [Diagnostics (Basel)] 2024 Jul 25; Vol. 14 (15). Date of Electronic Publication: 2024 Jul 25. - Publication Year :
- 2024
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Abstract
- Background: Fluorine-18 fluorodeoxyglucose positron emission tomography/computed tomography ([ <superscript>18</superscript> F]FDG PET/CT) has been suggested as a useful imaging method for diagnosing cyst infections in patients with autosomal dominant polycystic kidney disease (ADPKD). The aim of this article is to provide evidence-based data in this setting.<br />Methods: A systematic literature review (exploring several bibliographic databases) and a bivariate meta-analysis were carried out to calculate the pooled diagnostic performance of [ <superscript>18</superscript> F]FDG PET/CT in diagnosing probable cyst infection in ADPKD.<br />Results: Ten studies (282 PET/CT scans and 249 patients) were included in the analysis. The pooled sensitivity and specificity of [ <superscript>18</superscript> F]FDG PET/CT in this setting were 84.6% (95% confidence interval: 75.4-90.7) and 94.9% (95% confidence interval: 72.6-99.2), respectively, without statistical heterogeneity or significant publication bias. [ <superscript>18</superscript> F]FDG PET/CT significantly changed patient management in more than half of ADPKD patients with suspected cyst infection.<br />Conclusions: [ <superscript>18</superscript> F]FDG PET/CT has high performance in diagnosing probable cyst infections in ADPKD patients with an impact on management in the majority of patients. Although more studies are warranted, the provided evidence-based data are an important step towards the integration of [ <superscript>18</superscript> F]FDG PET/CT in clinical and diagnostic guidelines on probable cyst infection in ADPKD patients.
Details
- Language :
- English
- ISSN :
- 2075-4418
- Volume :
- 14
- Issue :
- 15
- Database :
- MEDLINE
- Journal :
- Diagnostics (Basel, Switzerland)
- Publication Type :
- Academic Journal
- Accession number :
- 39125479
- Full Text :
- https://doi.org/10.3390/diagnostics14151603