TY - JOUR
T1 - Advancing Dermatomycosis Diagnosis: Evaluating a Microarray-Based Platform for Rapid and Accurate Fungal Detection—A Pilot Study
AU - Ivagnes, Vittorio
AU - De Carolis, Elena
AU - Magrì, Carlotta
AU - Torelli, Riccardo
AU - Posteraro, Brunella
AU - Sanguinetti, Maurizio
PY - 2025
Y1 - 2025
N2 - Dermatomycosis, including the most prevalent onychomycosis, significantly impacts patients’ quality of life due to its chronic nature and high recurrence rate. Conventional diagnostic methods are often limited by low sensitivity and specificity and prolonged turnaround times. This study evaluates the EUROArray Dermatomycosis Platform, a microarray-based molecular assay, for its performance in identifying fungi causing dermatomycosis. Forty reference fungal strains, covering on-panel and off-panel species, and 120 clinical samples from patients with suspected dermatomycosis were analyzed. The platform’s accuracy was compared to microscopy and/or culture as the diagnostic standard. The assay demonstrated 100% analytical sensitivity and 97.1% analytical specificity, correctly identifying 33 of 34 fungal species while misclassifying one. In clinical samples, the assay showed good sensitivity (78.6%) and high specificity (91.7%), detecting additional positive cases missed by culture, which highlights the assay’s ability to identify non-viable fungi and low fungal loads. The assay achieved a positive predictive value of 75.9% and a negative predictive value of 92.8%, reinforcing its diagnostic reliability. Despite some discordances, the assay provides rapid results and broad-spectrum fungal detection, positioning it as a valuable complement to conventional diagnostics. Future improvements, including expanding the identification panel and optimizing sample handling, could further enhance its clinical utility.
AB - Dermatomycosis, including the most prevalent onychomycosis, significantly impacts patients’ quality of life due to its chronic nature and high recurrence rate. Conventional diagnostic methods are often limited by low sensitivity and specificity and prolonged turnaround times. This study evaluates the EUROArray Dermatomycosis Platform, a microarray-based molecular assay, for its performance in identifying fungi causing dermatomycosis. Forty reference fungal strains, covering on-panel and off-panel species, and 120 clinical samples from patients with suspected dermatomycosis were analyzed. The platform’s accuracy was compared to microscopy and/or culture as the diagnostic standard. The assay demonstrated 100% analytical sensitivity and 97.1% analytical specificity, correctly identifying 33 of 34 fungal species while misclassifying one. In clinical samples, the assay showed good sensitivity (78.6%) and high specificity (91.7%), detecting additional positive cases missed by culture, which highlights the assay’s ability to identify non-viable fungi and low fungal loads. The assay achieved a positive predictive value of 75.9% and a negative predictive value of 92.8%, reinforcing its diagnostic reliability. Despite some discordances, the assay provides rapid results and broad-spectrum fungal detection, positioning it as a valuable complement to conventional diagnostics. Future improvements, including expanding the identification panel and optimizing sample handling, could further enhance its clinical utility.
KW - dermatomycosis
KW - EUROArray Dermatomycosis
KW - fungal diagnostics
KW - rapid fungal identification
KW - molecular diagnostics
KW - onychomycosis
KW - microarray technology
KW - dermatomycosis
KW - EUROArray Dermatomycosis
KW - fungal diagnostics
KW - rapid fungal identification
KW - molecular diagnostics
KW - onychomycosis
KW - microarray technology
UR - http://hdl.handle.net/10807/311762
U2 - 10.3390/jof11030234
DO - 10.3390/jof11030234
M3 - Article
SN - 2309-608X
VL - 11
SP - N/A-N/A
JO - Journal of Fungi
JF - Journal of Fungi
ER -