Literature DB >> 24196917

FDG and FDG-labelled leucocyte PET/CT in the imaging of prosthetic joint infection.

Sabire Yılmaz Aksoy1, Sertac Asa, Meftune Ozhan, Meltem Ocak, M Sait Sager, Melih Engin Erkan, Metin Halac, Levent Kabasakal, Kerim Sönmezoglu, Bedii Kanmaz.   

Abstract

PURPOSE: The demand for arthroplasty is rapidly growing as a result of the ageing of the population. Although complications such as heterotrophic ossification, fracture and dislocation are relatively rare, differentiating aseptic loosening, the most common complication of arthroplasty from infection, is a major challenge for clinicians. Radionuclide imaging is currently the imaging modality of choice since it is not affected by orthopaedic hardware. Whereas FDG PET/CT imaging has been widely used in periprosthetic infection, it cannot discriminate aseptic from septic inflammation. In this study we aimed to evaluate the role of FDG PET/CT and FDG-labelled leucocyte PET/CT in the diagnosis of periprosthetic infection.
METHODS: Of 54 patients with painful joint arthroplasty who were imaged by FDG PET/CT for diagnosis of periprosthetic infection examined, 46 (36 women, 10 men; mean age 61.04 ± 12.2 years, range 32-89 years) with 54 painful joint prostheses (19 hip, 35 knee) with grade 2 (above liver uptake) FDG accumulation on FDG PET/CT were included in the study and these 46 patients also underwent FDG-labelled leucocyte PET/CT. Final diagnoses were made by histopathological-microbiological culture or clinical follow-up.
RESULTS: The final diagnosis showed infection in 15 (28%) and aseptic loosening in 39 (72%) of the 54 prostheses. FDG PET/CT was found to have a positive predictive value of 28% (15/54). Since patients with no FDG uptake on FDG PET/CT were excluded from the study, the sensitivity, specificity, negative predictive value and accuracy could not be calculated. The sensitivity, specificity, and positive and negative predictive values of FDG-labelled leucocyte PET/CT were 93.3% (14/15), 97.4% (38/39), 93.3% and 97.4%, respectively.
CONCLUSION: Since FDG is not specific to infection, the specificity of FDG PET/CT was very low. FDG-labelled leucocyte PET/CT with its high specificity may be a useful method and better than labelled leucocyte scintigraphy in periprosthetic infection imaging.

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Year:  2013        PMID: 24196917     DOI: 10.1007/s00259-013-2597-2

Source DB:  PubMed          Journal:  Eur J Nucl Med Mol Imaging        ISSN: 1619-7070            Impact factor:   9.236


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2.  Diagnosing infection in the failed joint replacement: a comparison of coincidence detection 18F-FDG and 111In-labeled leukocyte/99mTc-sulfur colloid marrow imaging.

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  16 in total

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Journal:  Curr Rev Musculoskelet Med       Date:  2014-06

2.  FDG and FDG-labelled leucocyte PET/CT in the imaging of prosthetic joint infection: response to Lazzeri et al.

Authors:  Sabire Yilmaz; Betül Vatankulu; Ozgül Ekmekciogu; Sait Sager; Metin Halac
Journal:  Eur J Nucl Med Mol Imaging       Date:  2014-05-07       Impact factor: 9.236

3.  Comment on Aksoy et al.: FDG and FDG-labelled leucocyte PET/CT in the imaging of prosthetic joint infection.

Authors:  Elena Lazzeri; Ora Israel; Paola A Erba; Riddhika Chakravartty; Josè Martin Comin; Francois Jamar; Francois Rouzet; Andor W J M Glaudemans; Alberto Signore
Journal:  Eur J Nucl Med Mol Imaging       Date:  2014-05-07       Impact factor: 9.236

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Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-07-11       Impact factor: 9.236

5.  [Systematics of glenohumoral and acromioclavicular arthritis].

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7.  Application of 68Ga-citrate PET/CT for differentiating periprosthetic joint infection from aseptic loosening after joint replacement surgery.

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Review 9.  Infection imaging using [18F]FDG-labelled white blood cell positron emission tomography-computed tomography.

Authors:  Venkata Subramanian Krishnaraju; Harmandeep Singh; Rajender Kumar; Sarika Sharma; Bhagwant Rai Mittal; Anish Bhattacharya
Journal:  Br J Radiol       Date:  2021-05-12       Impact factor: 3.629

Review 10.  Imaging Infection Across Scales of Size: From Whole Animals to Single Molecules.

Authors:  Eric P Skaar
Journal:  Annu Rev Microbiol       Date:  2021-08-03       Impact factor: 16.232

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