Antinukleäre Antikörper

2019 ◽  
Vol 39 (01) ◽  
pp. 28-36
Author(s):  
Verena Jansen
Keyword(s):  
Antinuclear Antibody ◽  
International Consensus ◽  
Antinukleäre Antikörper

ZusammenfassungBei der Diagnose und Klassifikation systemischer autoimmuner rheumatischer Erkrankungen kommt dem positiven Nachweis Antinukleärer Antikörper (ANA) große Bedeutung zu. Als methodischer Goldstandard hat sich der Indirekte Immunfluoreszenztest (IIFT) unter Verwendung der HEp2-Zelle als Substrat durchgesetzt, mit dem bei Vorliegen von ANA charakteristische Fluoreszenzmuster mikroskopisch unterschieden werden können. Um ANA-Befunde besser vergleichen zu können, wurde von einer internationalen Initiative, dem International Consensus on Antinuclear Antibody Patterns (ICAP), ein Standard entwickelt, mit dem die Muster beschrieben und nummeriert werden. Die Zielsetzung der ICAP-Initiative, die neue Nomenklatur, Maßnahmen der Qualitätssicherung und noch offene Fragen sollen hier vorgestellt werden.

scholarly journals Application of Supervised Machine Learning to Recognize Competent Level and Mixed Antinuclear Antibody Patterns Based on ICAP International Consensus

Diagnostics ◽  
2021 ◽  
Vol 11 (4) ◽  
pp. 642
Author(s):  
Yi-Da Wu ◽  
Ruey-Kai Sheu ◽  
Chih-Wei Chung ◽  
Yen-Ching Wu ◽  
Chiao-Chi Ou ◽  
...  
Keyword(s):  
Machine Learning ◽  
Pattern Recognition ◽  
Excellent Agreement ◽  
Antinuclear Antibody ◽  
Disease Diagnosis ◽  
Machine Learning Algorithms ◽  
Observer Agreement ◽  
Supervised Machine Learning ◽  
International Consensus ◽  
Testing Data

Background: Antinuclear antibody pattern recognition is vital for autoimmune disease diagnosis but labor-intensive for manual interpretation. To develop an automated pattern recognition system, we established machine learning models based on the International Consensus on Antinuclear Antibody Patterns (ICAP) at a competent level, mixed patterns recognition, and evaluated their consistency with human reading. Methods: 51,694 human epithelial cells (HEp-2) cell images with patterns assigned by experienced medical technologists collected in a medical center were used to train six machine learning algorithms and were compared by their performance. Next, we choose the best performing model to test the consistency with five experienced readers and two beginners. Results: The mean F1 score in each classification of the best performing model was 0.86 evaluated by Testing Data 1. For the inter-observer agreement test on Testing Data 2, the average agreement was 0.849 (?) among five experienced readers, 0.844 between the best performing model and experienced readers, 0.528 between experienced readers and beginners. The results indicate that the proposed model outperformed beginners and achieved an excellent agreement with experienced readers. Conclusions: This study demonstrated that the developed model could reach an excellent agreement with experienced human readers using machine learning methods.

International Consensus on Antinuclear Antibody Patterns: defining negative results and reporting unidentified patterns

2018 ◽  
Vol 56 (10) ◽  
pp. 1799-1802 ◽  
Author(s):  
Manfred Herold ◽  
Werner Klotz ◽  
Luis E.C. Andrade ◽  
Karsten Conrad ◽  
Wilson de Melo Cruvinel ◽  
...  
Keyword(s):  
Antinuclear Antibody ◽  
International Consensus ◽  
Negative Results

scholarly journals Report of the First International Consensus on Standardized Nomenclature of Antinuclear Antibody HEp-2 Cell Patterns 2014–2015

2015 ◽  
Vol 6 ◽  
Author(s):  
Edward K. L. Chan ◽  
Jan Damoiseaux ◽  
Orlando Gabriel Carballo ◽  
Karsten Conrad ◽  
Wilson de Melo Cruvinel ◽  
...  
Keyword(s):  
Antinuclear Antibody ◽  
International Consensus ◽  
Cell Patterns

scholarly journals International Consensus on Antinuclear Antibody em Portugal

2021 ◽  
Vol 34 (5) ◽  
pp. 347
Author(s):  
Maria José Sousa ◽  
Esmeralda Neves ◽  
Otília Figueiras ◽  
Ana Paula Cruz ◽  
Isabel Fernandes ◽  
...  
Keyword(s):  
Antinuclear Antibody ◽  
Standard Test ◽  
Reference Ranges ◽  
Systemic Autoimmune Diseases ◽  
International Consensus ◽  
Diagnostic Quality ◽  
Cell Patterns ◽  
Good Potential ◽  
Morphological Patterns

Introduction: Screening for autoantibodies in HEp-2 cells by indirect immunofluorescence is currently accepted as the gold-standard test for the diagnosis of systemic autoimmune diseases. The main objective of the International Consensus on ANA Patterns is to achieve a consensus on the nomenclature and description of antinuclear antibody morphological patterns. This work aims to build on the International Consensus on ANA Patterns project to establish a nomenclature consensus in Portugal, thus contributing to harmonization in autoimmune diagnosis and promoting diagnostic quality in autoimmune systemic rheumatic diseases.Material and Methods: Participating laboratories identified all the nuclear and cytoplasmic pattern designations in the International Consensus on ANA Patterns (including the anti-cell pattern code), and matched them with the corresponding Portuguese nomenclature in use. The results were aggregated and used as a foundation for nomenclature harmonization work. Consensus meetings followed an iterative process, until a final consensual proposal was drafted.Results: Prior agreement between laboratories was over 75% for 23 of the total 29 anti-cell patterns. The degree to which each laboratory is aligned with the International Consensus on ANA Patterns international reference ranges from 22.1% to 100%. It was possible to write a consensual version of the International Consensus on ANA Patterns nomenclature for Portugal.Discussion: There was a good consensus basis for the nomenclature in the International Consensus on ANA Patterns, despite relevant differences with some translations. The study highlights the need for collaboration among laboratories towards an unambiguous description of laboratory results.Conclusion: This study shows that there is good potential for collaboration between laboratories in order to produce the consensus needed to improve diagnosis and patient follow-up.

scholarly journals International consensus on antinuclear antibody patterns: definition of the AC-29 pattern associated with antibodies to DNA topoisomerase I

2018 ◽  
Vol 56 (10) ◽  
pp. 1783-1788 ◽  
Author(s):  
Luis E.C. Andrade ◽  
Werner Klotz ◽  
Manfred Herold ◽  
Karsten Conrad ◽  
Johan Rönnelid ◽  
...  
Keyword(s):  
Topoisomerase I ◽  
Antinuclear Antibody ◽  
Reference Method ◽  
Immunofluorescence Assay ◽  
Dna Topoisomerase I ◽  
International Consensus ◽  
Dna Topoisomerase ◽  
Finding Study ◽  
Definition Of ◽  
Antibodies To Dna

Abstract The indirect immunofluorescence assay (IFA) on HEp-2 cells is the reference method for autoantibody screening. The HEp-2 IFA pattern provides useful information on the possible autoantibodies in the sample. The International Consensus on Antinuclear Antibody Patterns (ICAP) initiative seeks to define and harmonize the nomenclature of HEp-2 IFA patterns. The most relevant and usual patterns have been assigned an alphanumeric code from anti-cell (AC)-1 to AC-28 and were organized into a classification algorithm (www.ANApatterns.org). The systemic sclerosis-associated autoantibodies to DNA topoisomerase I (Topo I) produce a peculiar composite 5-element HEp-2 IFA pattern (Topo I-like pattern) comprising the staining of the nucleus, metaphase chromatin plate, nucleolar organizing region, cytoplasm and nucleolus. In a recent assessment of the European Consensus Finding Study Group on autoantibodies, a well-defined anti-Topo I sample was blindly analyzed and classified according to ICAP AC patterns by 43 participant laboratories across Europe. There were wide variations among these laboratories in reporting nuclear, nucleolar and cytoplasmic patterns, indicating the inadequacy of the existing AC patterns to report the Topo I-like pattern. Several ICAP member laboratories independently demonstrated the overall consistency of the HEp-2 IFA Topo I-like pattern using HEp-2 slides from different manufacturers. The ICAP committee reviewed 24 candidate images and selected the four most representative images to be available on the ICAP website. The proper recognition of the AC-29 pattern should trigger suspicion of the presence of anti-Topo I antibodies, which may engender appropriate analyte-specific reflex tests to confirm the autoantibody specificity.

scholarly journals Rods and Rings Antinuclear Antibody Pattern in Non Hepatitis C Patients: A Series of Five Cases with Review of Literature

2020 ◽  
Author(s):  
Mahendra Kumar ◽  
Yashwant Kumar ◽  
Biman Saikia ◽  
Seema Chhabra ◽  
Shankar Naidu ◽  
...  
Keyword(s):  
Hepatitis C ◽  
Antinuclear Antibody ◽  
Clinical Samples ◽  
Interferon Α ◽  
Healthy Population ◽  
Review Of Literature ◽  
International Consensus ◽  
Disease Associations ◽  
Rods And Rings ◽  
Antibody Pattern

Antinuclear Antibody (ANA) is commonly found in various Autoimmune Diseases (AD) and their pattern help in narrowing down the differential diagnosis. International Consensus on ANA Pattern (ICAP) has recently introduced Rods and Rings (RR) pattern in their reporting guideline. Since its first identification, it has been considered to be exclusively associated with hepatitis C and its associated treatment {Ribavirin/Interferon-α (INF-α)}. However, later on, a few reports have described its association with other diseases and even in healthy population. In the present series, out of 25,242 clinical samples, five cases of RR-ANA pattern in non hepatitis patients were found and they were further investigated for their disease associations. We are documenting association of RR-ANA pattern with amoebiasis, hepatitis B, idiopathic thrombocytopenic purpura, Rheumatoid Arthritis (RA) and undifferentiated connective tissue disease. Documentation of such reports may help in better understanding of pathobiology and clinical relevance of this pattern.

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