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Updated: Aug 5, 2026
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A Pre-Clinical Model of Synovitis Using Ex vivo Human Synovial Tissue with Preserved Function and Architecture
Published on: March 20, 2026
Graphical Representation of Cell Count in Native Joint Aspirates
Marius Hoyka1, Elke Weissbarth2, Maike Keitel2
1Department for Joint Replacement, Rheumatoid and General Orthopaedics, Orthopaedic Clinic Markgröningen, Kurt-Lindemann-Weg 10, 71706 Markgröningen, Germany.
Diagnostics (Basel, Switzerland)
|July 28, 2026
Summary
Graphical analysis of synovial fluid cells in knee aspirates can identify patterns for septic arthritis, crystal arthropathy, rheumatoid arthritis, and haemarthrosis. This method shows high accuracy in distinguishing infection from non-infection types.
Area of Science:
- Rheumatology
- Hematology
- Infectious Diseases
- Medical Diagnostics
Background:
- Synovial fluid analysis is crucial for diagnosing joint effusions.
- Current methods may require further adjunctive diagnostic tools for specific arthropathies.
Purpose of the Study:
- To describe graphical synovial fluid cell distribution patterns (LMNE matrix) in native knee aspirates.
- To assess the association of these patterns with septic arthritis, crystal arthropathy, rheumatoid arthritis, and haemarthrosis.
Main Methods:
- Analysis of 117 knee joint aspirates using the Yumizen H500 automated cell counter.
- Microscopic examination of aspirates with unusual cell distribution patterns.
- Classification of synovial fluid cell counts into 9 graphical types.
Main Results:
- Identified 9 distinct graphical LMNE matrix patterns.
- Achieved 100% sensitivity and 93.9% specificity in differentiating infection from non-infection types.
- Demonstrated high accuracy (96.6%) and predictive values (PPV 92.7%, NPV 100%) for infection types.
Conclusions:
- Graphical LMNE matrix analysis reveals reproducible patterns linked to specific knee joint pathologies.
- This method offers valuable adjunctive information for diagnosing septic arthritis, crystal arthropathy, rheumatoid arthritis, and haemarthrosis.
- Further validation with larger patient cohorts is recommended.
