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Start Over Topic autoimmunity Publication Year Range Last 10 years
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1. A paperless autoimmunity laboratory: myth or reality?

Author

Lutteri L, Dierge L, Pesser M, Watrin P, and Cavalier E

Subjects
Antibodies, Antinuclear blood, Cells, Cultured, Critical Pathways standards, Humans, Image Processing, Computer-Assisted instrumentation, Image Processing, Computer-Assisted standards, Paper, Reference Standards, Sensitivity and Specificity, Antibodies, Antinuclear analysis, Autoimmunity, Automation, Laboratory instrumentation, Automation, Laboratory methods, Automation, Laboratory standards, Laboratories standards, Laboratories trends
Abstract

Testing for antinuclear antibodies is the most frequently prescribed analysis for the diagnosis of rheumatic diseases. Indirect immunofluorescence remains the gold standard method for their detection despite the increasing use of alternative techniques. In order to standardize the manual microscopy reading, automated acquisition and interpretation systems have emerged. This publication enables us to present our method of interpretation and characterization of antinuclear antibodies based on a cascade of analyses and to share our everyday experience of the G Sight from Menarini. The positive/negative discrimination on Hep cells 2000 is correct in 85% of the cases. In most of the false negative results, it is a question of aspecific or low titers patterns, but a few cases of SSA speckled patterns of low titers demonstrated a probability index below 8. Regarding the pattern recognition, some types and mixed patterns are not properly recognized. Concerning the probability index correlated in some studies to final titer, the weak fluorescence of certain patterns and the random presence of artifacts that distort the index don't lead us to continue it in our daily practice. In conclusion, automated reading systems facilitate the reporting of results and traceability of patterns but still require the expertise of a laboratory technologist for positive/negative discrimination and for pattern recognition.

Published
2016
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2. A paperless autoimmunity laboratory: myth or reality?

Author

Pascale Watrin, Laurence Lutteri, Laurine Dierge, Martine Pesser, and Etienne Cavalier

Subjects
Paper, medicine.medical_specialty, Anti-nuclear antibody, media_common.quotation_subject, Autoimmunity, Laboratory Technologist, 030204 cardiovascular system & hematology, Sensitivity and Specificity, 03 medical and health sciences, 0302 clinical medicine, Reading (process), Daily practice, medicine, Image Processing, Computer-Assisted, Humans, Medical physics, Cells, Cultured, media_common, 030203 arthritis & rheumatology, Automation, Laboratory, Indirect immunofluorescence, business.industry, General Medicine, Gold standard (test), Reference Standards, Titer, Antibodies, Antinuclear, Pattern recognition (psychology), Critical Pathways, business, Laboratories
Abstract

Testing for antinuclear antibodies is the most frequently prescribed analysis for the diagnosis of rheumatic diseases. Indirect immunofluorescence remains the gold standard method for their detection despite the increasing use of alternative techniques. In order to standardize the manual microscopy reading, automated acquisition and interpretation systems have emerged. This publication enables us to present our method of interpretation and characterization of antinuclear antibodies based on a cascade of analyses and to share our everyday experience of the G Sight from Menarini. The positive/negative discrimination on Hep cells 2000 is correct in 85% of the cases. In most of the false negative results, it is a question of aspecific or low titers patterns, but a few cases of SSA speckled patterns of low titers demonstrated a probability index below 8. Regarding the pattern recognition, some types and mixed patterns are not properly recognized. Concerning the probability index correlated in some studies to final titer, the weak fluorescence of certain patterns and the random presence of artifacts that distort the index don't lead us to continue it in our daily practice. In conclusion, automated reading systems facilitate the reporting of results and traceability of patterns but still require the expertise of a laboratory technologist for positive/negative discrimination and for pattern recognition.

Published
2016