ArticleJournal of fungi (Basel, Switzerland)2022
Diagnosis from Tissue: Histology and Identification.
Article in Journal of fungi (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
12 citing papers in PubMed.
- Therapeutic Failure in Invasive Fungal Infections: Beyond Antifungal Resistance-A Narrative Review.Journal of fungi (Basel, Switzerland) · 2026Review
- Global perspective on gaps in fungal diagnostics in low-resource settings: WHO landscape analysis and research priorities for invasive fungal diseases.The Lancet. Microbe · 2026Review
- Integrating Diagnostic Tools for Early Recognition of Rumenitis in a Neonatal Calf.Animals : an open access journal from MDPI · 2026Article
- Molecular mechanisms drivingFrontiers in molecular biosciences · 2026Review
- Facial Nodular Melanoma Presenting as an Invasive Fungal Infection: A Diagnostic Challenge.Cureus · 2025Article
- Histopathological Alterations inInsects · 2024Article
- Fungal Abscess of Anterior Nasal Septum Complicating Maxillary Sinus Fungal Ball Rhinosinusitis Caused byJournal of fungi (Basel, Switzerland) · 2024Article
- Increase in the incidence of invasive fungal infections due to Volvariella Volvacea.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2024Review
- Outbreaks of Fungal Infections in Hospitals: Epidemiology, Detection, and Management.Journal of fungi (Basel, Switzerland) · 2023Review
- Innovative Biosensing Approaches for Swift Identification ofLife (Basel, Switzerland) · 2023Review
- Dermatopathology and the Diagnosis of Fungal Infections.British journal of biomedical science · 2023Review
- Clinical impact of microbial cell-free DNA next-generation sequencing for invasive mold infection-a single-center retrospective observational study.Therapeutic advances in infectious diseaseArticle
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The diagnosis and initiation of appropriate treatment against invasive fungal infections depend upon accurate identification of pathogens by pathologists and clinical microbiologists. Histopathology is often critical in providing diagnostic insight in patients with suspected fungal infections, and such findings are incorporated into the definitions of proven or probable disease caused by certain pathogens. Such examinations can offer provisional identifications of fungal organisms, which can help guide initial therapy while laboratory results are pending. Common etiologic agents of invasive mycoses may be recognized based on morphologic characteristics observed in tissue and biologic fluids, such as those obtained from bronchoalveolar lavage and bronchial washings. However, care should be taken in the interpretation of these findings, as there may be a false sense of the ability to correctly categorize fungal organisms to the genus or species level by morphologic features alone. Studies have demonstrated discordant results between histopathology and laboratory results due to overlapping morphologic features, morphologic mimics, and sampling errors. Thus, histopathology plays an integral role in providing a differential of potential fungal pathogens but must be combined with results from laboratory studies, including cultures, antigen tests, serology, and molecular assays, in order to improve accuracy in the identification of etiologic agents of fungal infections. Inaccurate identification of the infecting organism can lead to inappropriate antifungal therapy and possibly poor clinical outcomes.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.