[Evaluation of a Computer-Aided Microscope System and Its Anti-Nuclear Antibody Test Kit for Indirect Immunofluorescence Assay].

ABSTRACT

Antinuclear antibody (ANA) testing is indispensable for diagnosing and understanding clinical conditions of autoimmune diseases. The indirect immunofluorescence assay (IFA) is the gold standard for ANA screening, and it can detect more than 100 different antibodies, such as anti-PCNA as well as anti-cytoplasmic antibodies. However, complicated procedures of conventional IFA and visual interpretation require highly skilled laboratory staff. This study evaluates the capability, characteristics, and applicability of the recently developed ANA detection system (EUROPattern Cosmic IFA System, EPA) using HEp20-10 cells and the automated pattern recognition microscope. Findings using EPA and conventional methods were compared in 282 sera obtained from connective tissue disease patients and 250 sera from healthy individuals. The concordance of the positivity rate, antibody titer (within +/- 1 tube difference), and the accurate recognition rate of ANA patterns between the automated EPA method and the microscopic judgement of the EPA image by eye was 98.9, 97.4, and 55.3%, respectively. The EPA method showed concordance of the positivity rate as high as 93.3% and concordance of the antibody titer as high as 94.0% (within +/- 1 titer) compared with the conventional method. Regarding the four typical patterns of ANA (homogeneous, speckled, nucleolar, and centromere), large differences between the EPA and conventional methods were not observed, and the rate of concordance between the final EPA result and the conventional method was from 94.1 to 100%. The positivity rate of ANA using the EPA and conventional methods showed marked agreement among the six connective tissue diseases (SLE, MCTD, SSc, PM/DM, and SS) and healthy individuals. Although the EPA system is not considered a complete system and laboratory staff should verify the results, it is a useful system for routine ANA analysis because it contributes to ANA standardization and an efficient workflow.