Comparative Study of Human and Automated Screening for Antinuclear Antibodies by Immunofluorescence on HEp-2 Cells Article Swipe
Yousr Gorgi
,
Tarak Dhaouadi
,
Imen Sfar
,
Youssra Haouami
,
T. Ben Abdallah
,
G. Raso
,
Donato Cascio
,
Marco Cipolla
,
Vincenzo Taormina
,
Alessandro Fauci
,
Ignazio Brusca
,
Giuseppe Friscia
,
Amel Benammar Elgaaïed
,
Raja Marrakchi
,
Asma Gati
,
Mélika Ben Ahmed
,
Hechmi Louzir
·
YOU?
·
· 2015
· Open Access
·
· DOI: https://doi.org/10.6000/1929-6029.2015.04.03.4
YOU?
·
· 2015
· Open Access
·
· DOI: https://doi.org/10.6000/1929-6029.2015.04.03.4
Background: Several automated systems had been developed in order to reduce inter-observer variability in indirect immunofluorescence (IIF) interpretation. We aimed to evaluate the performance of a processing system in antinuclear antibodies (ANA) screening on HEp-2 cells. Patients and Methods: This study included 64 ANA-positive sera and 107 ANA-negative sera that underwent IIF on two commercial kits of HEp-2 cells (BioSystems® and Euroimmun®). IIF results were compared with a novel automated interpretation system, the “CyclopusCADImmuno®” (CAD). Results: All ANA-positive sera images were recognized as positive by CAD (sensitivity = 100%), while 17 (15.9%) of the ANA-negative sera images were interpreted as positive (specificity = 84.1%), κ=0.799 (SD=0.045). Comparison of IIF pattern determination between human and CAD system revealed on HEp-2 (BioSystems®), a complete concordance in 6 (9.37%) sera, a partial concordance (sharing of at least 1 pattern) in 42 (65.6%) cases and in 16 (25%) sera the pattern interpretation was discordant. Similarly, on HEp-2 (Euroimmun®) the concordance in pattern interpretation was total in 5 (7.8%) sera, partial in 39 (60.9%) and absent in 20 (31.25%). For both tested HEp-2 cells kits agreement was enhanced for the most common patterns, homogenous, fine speckled and coarse speckled. While there was an issue in identification of nucleolar, dots and nuclear membranous patterns by CAD. Conclusion: Assessment of ANA by IIF on HEp-2 cells using the automated interpretation system, the “CyclopusCADImmuno®” is a reliable method for positive/negative differentiation. Continuous integration of IIF images would improve the pattern identification by the CAD.
Related Topics
Concepts
IIf
Concordance
Anti-nuclear antibody
Indirect immunofluorescence
Immunofluorescence
Antibody
Medicine
Pathology
Internal medicine
Biology
Immunology
Autoantibody
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.6000/1929-6029.2015.04.03.4
- OA Status
- diamond
- Cited By
- 5
- References
- 9
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W1865722537
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W1865722537Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.6000/1929-6029.2015.04.03.4Digital Object Identifier
- Title
-
Comparative Study of Human and Automated Screening for Antinuclear Antibodies by Immunofluorescence on HEp-2 CellsWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2015Year of publication
- Publication date
-
2015-08-18Full publication date if available
- Authors
-
Yousr Gorgi, Tarak Dhaouadi, Imen Sfar, Youssra Haouami, T. Ben Abdallah, G. Raso, Donato Cascio, Marco Cipolla, Vincenzo Taormina, Alessandro Fauci, Ignazio Brusca, Giuseppe Friscia, Amel Benammar Elgaaïed, Raja Marrakchi, Asma Gati, Mélika Ben Ahmed, Hechmi LouzirList of authors in order
- Landing page
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https://doi.org/10.6000/1929-6029.2015.04.03.4Publisher landing page
- Open access
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YesWhether a free full text is available
- OA status
-
diamondOpen access status per OpenAlex
- OA URL
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https://doi.org/10.6000/1929-6029.2015.04.03.4Direct OA link when available
- Concepts
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IIf, Concordance, Anti-nuclear antibody, Indirect immunofluorescence, Immunofluorescence, Antibody, Medicine, Pathology, Internal medicine, Biology, Immunology, AutoantibodyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
5Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 1, 2017: 1, 2016: 3Per-year citation counts (last 5 years)
- References (count)
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9Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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