Indirect immunofluorescence in autoimmune diseases: assessment of digital images for diagnostic purpose

Amelia Rigon1, Paolo Soda, Danila Zennaro

  • 1Department of Clinical Medicine, Immunology, and Rheumatology, University Campus Bio-Medico, Rome, Italy. a.rigon@unicampus.it

Insights

Digital images of indirect immunofluorescence (IIF) slides reliably aid in detecting antinuclear antibodies (ANA). This study shows digital analysis offers substantial agreement, improving diagnostic consistency for autoimmune diseases.

Area of Science:

  • Immunology
  • Medical Diagnostics
  • Digital Pathology

Background:

  • Indirect immunofluorescence (IIF) is the standard for antinuclear antibodies (ANA) detection.
  • High image quality and reduced interobserver variability are crucial for accurate ANA diagnostics.
  • Evaluating automatically acquired digital IIF images is essential for diagnostic reliability.

Purpose of the Study:

  • To assess the reliability of digital IIF images for ANA detection.
  • To compare diagnostic performance using microscope versus digital image analysis.
  • To explore standardization and automation in ANA detection.

Main Methods:

  • Ninety-six sera were screened for ANA using IIF on HEp-2 cells.
  • Two expert physicians conducted a blind study comparing microscope and digital image analysis.
  • Cohen's kappa statistic evaluated agreement between methods and observers.

Main Results:

  • Substantial agreement was observed between microscope and monitor analysis for fluorescence intensity.
  • Physician agreement was substantial at the microscope and perfect at the monitor.
  • Substantial and moderate agreement was found for IIF patterns between microscope and monitor analysis.

Conclusions:

  • Digital images are a reliable tool for assisting physicians in detecting autoantibodies via IIF.
  • This study is a foundational step towards validating digital image use in ANA diagnostics.
  • Digital IIF image analysis presents opportunities for standardizing and automating ANA detection.
Abstract