Comparison of methods uncovers differences in species identification in Cryptococcus, highlighting database needs for improved outcomes.
Sirius and PRIME demonstrated robust performance for C. neoformans identification and C. gattii complex differentiation, outperforming ASTA for relatively rare species. Single on-plate extraction is sufficient in clinical practice. However, continued database expansion is essential for maximizing MALDI-TOF MS performance and accurately identifying Cryptococcus spp., thereby informing antifungal therapy and improving patient outcomes.
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Park et al. (2026) studied this question.
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