Related Experiment Video
Updated: May 3, 2026

09:42
Isolation and Selection of Entomopathogenic Fungi from Soil Samples and Evaluation of Fungal Virulence against Insect Pests
Published on: September 28, 2021
9.2K
New Diagnostic Strategy for Onychomycosis: First-Line Utilization of DermaGenius® PCR and Calcofluor Microscopy
Séverine Evrard1, Caroline Minon1, Mouhsine Lamtiri Laarif1
1Laboratory Medicine Department, Centre Hospitalier Régional de la Citadelle, 4000 Liege, Belgium.
Journal of Fungi (Basel, Switzerland)
|August 28, 2024
Summary
A new mixed algorithm combining PCR and culture improves onychomycosis diagnosis. This strategy enhances diagnostic accuracy and efficiency for fungal nail infections, reducing unnecessary treatments.
Area of Science:
- Medical Mycology
- Molecular Diagnostics
- Infectious Diseases
Background:
- Onychomycosis (OM) is a common fungal nail infection necessitating accurate diagnosis before treatment.
- Current diagnostic methods like culture and PCR have limitations in sensitivity and scope.
- Prompt and precise diagnosis is crucial to avoid prolonged, ineffective antifungal therapies.
Purpose of the Study:
- To compare the diagnostic performance of conventional culture, multiplex PCR (DermaGenius® 2.0), and a novel mixed algorithm (MA).
- To evaluate the efficacy of the MA in improving diagnostic accuracy and efficiency for onychomycosis.
Main Methods:
- Conventional culture technique.
- Multiplex PCR (DermaGenius® 2.0).
- A mixed algorithm (MA) integrating PCR, direct examination with calcofluor (DEC), and selective culture.
Main Results:
- The MA demonstrated significantly higher sensitivity (98.18%) compared to PCR alone (78.18%) and culture alone (74.55%).
- MA achieved 100% specificity, comparable to PCR alone.
- Only 13% of samples required additional culture inoculation with the MA, indicating high efficiency.
Conclusions:
- The mixed algorithm represents a superior diagnostic strategy for onychomycosis.
- This approach enhances diagnostic accuracy, reduces turnaround time, and optimizes resource utilization.
- The MA effectively addresses the limitations of single-method diagnostic approaches for fungal nail infections.

