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Acute Invasive Fungal Rhinosinusitis: Frozen Section Histomorphology and Diagnosis with PAS Stain
Henry Crist1, Max Hennessy2, Jacob Hodos3
1Department of Pathology, College of Medicine, The Pennsylvania State University, 500 University Drive, Hershey, PA, 17033-0850, USA. hcrist@pennstatehealth.psu.edu.
Head and Neck Pathology
|September 14, 2018
Summary
Diagnosing acute invasive fungal rhinosinusitis (AIFRS) is challenging. A modified Periodic Acid Schiff
Area of Science:
- Pathology
- Infectious Diseases
- Otolaryngology
Background:
- Acute invasive fungal rhinosinusitis (AIFRS) is a severe infection in immunocompromised individuals.
- Rapid diagnosis and surgical intervention are critical for managing AIFRS.
- Frozen section (FS) interpretation for AIFRS diagnosis can be difficult, leading to potential misinterpretations.
Purpose of the Study:
- To identify reasons for diagnostic errors in FS interpretation of AIFRS.
- To explore methods for improving the accuracy of AIFRS diagnosis on FS.
- To evaluate the utility of specific morphologic features and novel staining techniques.
Main Methods:
- Retrospective review of 271 sinonasal biopsy FS slides from suspected AIFRS cases over 16 years.
- Evaluation of morphologic features, including specific necrosis patterns, for diagnostic utility.
- Application of a modified Periodic Acid Schiff's Reaction for Fungi on frozen tissue (PASF-fs) for fungus identification.
Main Results:
- Specific patterns of necrosis were identified as potential indicators of AIFRS.
- Consistent identification of fungal elements in necrotic tissue remains essential but challenging.
- The novel PASF-fs technique effectively stained fungal elements in all 62 positive cases, both retrospectively and prospectively.
Conclusions:
- Accurate diagnosis of AIFRS on FS requires improved identification of fungi in necrotic tissue.
- The modified PASF-fs technique significantly enhances fungus visualization on frozen sections.
- PASF-fs offers a crucial advancement for improving the accuracy of AIFRS diagnosis via FS.
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