Literature DB >> 15534056

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

Charito Love1, Scott E Marwin, Maria B Tomas, Eugene S Krauss, Gene G Tronco, Kuldeep K Bhargava, Kenneth J Nichols, Christopher J Palestro.   

Abstract

UNLABELLED: The objectives of this study were to investigate (18)F-FDG imaging, using a coincidence detection system, for diagnosing prosthetic joint infection and to compare it with combined (111)In-labeled leukocyte/(99m)Tc-sulfur colloid marrow imaging in patients with failed lower extremity joint replacements.
METHODS: Fifty-nine patients--with painful, failed, lower extremity joint prostheses, 40 hip and 19 knee--who underwent (18)F-FDG, labeled leukocyte, and bone marrow imaging, and had histopathologic and microbiologic confirmation of the final diagnosis, formed the basis of this investigation. (18)F-FDG images were interpreted as positive for infection using 4 different criteria: criterion 1: any periprosthetic activity, regardless of location or intensity; criterion 2: periprosthetic activity on the (18)F-FDG image, without corresponding activity on the marrow image; criterion 3: only bone-prosthesis interface activity, regardless of intensity; criterion 4: semiquantitative analysis--a lesion-to-background ratio was generated, and the cutoff value yielding the highest accuracy for determining the presence of infection was determined. Labeled leukocyte/marrow images were interpreted as positive for infection when periprosthetic activity was present on the labeled leukocyte image without corresponding activity on the marrow image.
RESULTS: Twenty-five (42%) prostheses, 14 hip and 11 knee, were infected. The sensitivity, specificity, and accuracy of (18)F-FDG, by criterion, were as follows: criterion 1: 100%, 9%, 47%; criterion 2: 96%, 35%, 61%; criterion 3: 52%, 44%, 47%; criterion 4: 36%, 97%, 71%. The sensitivity, specificity, and accuracy of labeled leukocyte/marrow imaging were 100%, 91%, and 95%, respectively. WBC/marrow imaging, which was more accurate than any of the (18)F-FDG criteria for all prostheses, as well as for hips and knees separately, was significantly more sensitive than criterion 3 (P < 0.001) and criterion 4 (P < 0.001) and was significantly more specific than criterion 1 (P < 0.001), criterion 2 (P < 0.001), and criterion 3 (P < 0.001).
CONCLUSION: Regardless of how the images are interpreted, coincidence detection-based (18)F-FDG imaging is less accurate than, and cannot replace, labeled leukocyte/marrow imaging for diagnosing infection of the failed prosthetic joint.

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Year:  2004        PMID: 15534056

Source DB:  PubMed          Journal:  J Nucl Med        ISSN: 0161-5505            Impact factor:   10.057


  47 in total

1.  The diagnostic value of [(18)F]FDG PET for the detection of chronic osteomyelitis and implant-associated infection.

Authors:  Vera Wenter; Jan-Phillip Müller; Nathalie L Albert; Sebastian Lehner; Wolfgang P Fendler; Peter Bartenstein; Clemens C Cyran; Jan Friederichs; Matthias Militz; Marcus Hacker; Sven Hungerer
Journal:  Eur J Nucl Med Mol Imaging       Date:  2015-11-07       Impact factor: 9.236

2.  The value of FDG-PET in patients with painful total knee arthroplasty.

Authors:  Katrin D M Stumpe; Jose Romero; Oliver Ziegler; Ehab M Kamel; Gustav K von Schulthess; Klaus Strobel; Juerg Hodler
Journal:  Eur J Nucl Med Mol Imaging       Date:  2006-05-24       Impact factor: 9.236

3.  FDG-PET imaging can diagnose periprosthetic infection of the hip.

Authors:  Timothy Chryssikos; Javad Parvizi; Elie Ghanem; Andrew Newberg; Hongming Zhuang; Abass Alavi
Journal:  Clin Orthop Relat Res       Date:  2008-04-18       Impact factor: 4.176

4.  [Painful hip arthroplasty: a diagnostic algorithm].

Authors:  M Hoberg; B M Holzapfel; M Rudert
Journal:  Orthopade       Date:  2011-06       Impact factor: 1.087

Review 5.  Prosthetic joint infections: radionuclide state-of-the-art imaging.

Authors:  Filip Gemmel; Hans Van den Wyngaert; Charito Love; M M Welling; Paul Gemmel; Christopher J Palestro
Journal:  Eur J Nucl Med Mol Imaging       Date:  2012-02-24       Impact factor: 9.236

6.  Diagnosis of infection in the diabetic foot using (18)F-FDG PET/CT: a sweet alternative?

Authors:  Gopinath Gnanasegaran; Sanjay Vijayanathan; Ignac Fogelman
Journal:  Eur J Nucl Med Mol Imaging       Date:  2012-10       Impact factor: 9.236

7.  FDG PET imaging for diagnosing prosthetic joint infection: discussing the facts, rectifying the unsupported claims and call for evidence-based and scientific approach.

Authors:  Thomas C Kwee; Sandip Basu; Drew A Torigian; Hongming Zhuang; Abass Alavi
Journal:  Eur J Nucl Med Mol Imaging       Date:  2013-01-08       Impact factor: 9.236

8.  Particle disease on fluoride-18 (NaF) PET/CT imaging.

Authors:  Jonathan Kuo; Cameron Foster; David Shelton
Journal:  J Radiol Case Rep       Date:  2011-05-01

Review 9.  Expanding role of 18F-fluoro-D-deoxyglucose PET and PET/CT in spinal infections.

Authors:  Filip Gemmel; Paul C Rijk; James M P Collins; Thierry Parlevliet; Katrin D Stumpe; Christopher J Palestro
Journal:  Eur Spine J       Date:  2010-01-06       Impact factor: 3.134

Review 10.  Role of modern imaging techniques for diagnosis of infection in the era of 18F-fluorodeoxyglucose positron emission tomography.

Authors:  Rakesh Kumar; Sandip Basu; Drew Torigian; Vivek Anand; Hongming Zhuang; Abass Alavi
Journal:  Clin Microbiol Rev       Date:  2008-01       Impact factor: 26.132

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