ArticleArthritis research & therapy2012
Automated interpretation of ANCA patterns - a new approach in the serology of ANCA-associated vasculitis.
Article in Arthritis research & therapy, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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14 citing papers in PubMed, 40 citations in OpenAlex.
- Comparison of the Capacity of Several Machine Learning Tools to Assist Immunofluorescence-Based Detection of Anti-Neutrophil Cytoplasmic Antibodies.International journal of molecular sciences · 2024Article
- Improvement of indirect immunofluorescence technique to detect antineutrophil cytoplasmic antibodies and its impact on test positivity rate.Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica · 2023Article
- Clinical significance of HEp-2 cell cytoplasmic patterns in anti-neutrophil cytoplasmic antibody associated vasculitis.Medicine · 2022Article
- ANCA-Associated Vasculitides and Hematologic Malignancies: Lessons from the Past and Future Perspectives.Journal of immunology research · 2019Review
- Next-Generation Autoantibody Testing by Combination of Screening and Confirmation-the CytoBead® Technology.Clinical reviews in allergy & immunology · 2017Review
- Anti-nuclear autoantibodies in the general German population: prevalence and lack of association with selected cardiovascular and metabolic disorders-findings of a multicenter population-based study.Arthritis research & therapy · 2017Article
- Simultaneous detection of celiac disease-specific IgA antibodies and total IgA.Auto- immunity highlights · 2016Article
- Simultaneous comprehensive multiplex autoantibody analysis for rapidly progressive glomerulonephritis.Medicine · 2016Article
- Myeloperoxidase-antineutrophil Cytoplasmic Antibodies (MPO-ANCA) and Proteinase 3-ANCA without Immunofluorescent ANCA Found by Routine Clinical Testing.The Journal of rheumatology · 2015Article
- A fully automated IIF system for the detection of antinuclear antibodies and antineutrophil cytoplasmic antibodies.Immunologic research · 2015Article
- Current and emerging techniques for ANCA detection in vasculitis.Nature reviews. Rheumatology · 2014Review
- The classification of Crithidia luciliae immunofluorescence test (CLIFT) using a novel automated system.Arthritis research & therapy · 2014Article
- Stable expression of human muscle-specific kinase in HEp-2 M4 cells for automatic immunofluorescence diagnostics of myasthenia gravis.PloS one · 2014Article
- Simultaneous automated screening and confirmatory testing for vasculitis-specific ANCA.PloS one · 2014Article
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Authors and funding
13 authors at 7 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionIndirect immunofluorescence (IIF) employing ethanol-fixed neutrophils (ethN) is still the method of choice for assessing antineutrophil cytoplasmic antibodies (ANCA) in ANCA-associated vasculitides (AAV). However, conventional fluorescence microscopy is subjective and prone to high variability. The objective of this study was to evaluate novel pattern recognition algorithms for the standardized automated interpretation of ANCA patterns.
methodsSeventy ANCA-positive samples (20 antimyeloperoxidase ANCA, 50 antiproteinase3 ANCA) and 100 controls from healthy individuals analyzed on ethN and formalin-fixed neutrophils (formN) by IIF were used as a 'training set' for the development of pattern recognition algorithms. Sera from 342 patients ('test set') with AAV and other systemic rheumatic and infectious diseases were tested for ANCA patterns using the novel pattern recognition algorithms and conventional fluorescence microscopy.
resultsInterpretation software employing pattern recognition algorithms was developed enabling positive/negative discrimination and classification of cytoplasmic ANCA (C-ANCA) and perinuclear ANCA (P-ANCA). Comparison of visual reading of the 'test set' samples with automated interpretation revealed Cohen's kappa (κ) values of 0.955 on ethN and 0.929 on formN for positive/negative discrimination. Analysis of the 'test set' with regard to the discrimination between C-ANCA and P-ANCA patterns showed a high agreement for ethN (κ = 0.746) and formN (κ = 0.847). There was no significant difference between visual and automated interpretation regarding positive/negative discrimination on ethN and formN, as well as ANCA pattern recognition (P > 0.05, respectively).
conclusionsPattern recognition algorithms can assist in the automated interpretation of ANCA IIF. Automated reading of ethN and formN IIF patterns demonstrated high consistency with visual ANCA assessment.
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