Algorithmic Approach to Fibroinflammatory Sinonasal Tract Lesions

Area of Science:

• Pathology
• Head and Neck Surgery
• Otolaryngology

Background:

• Fibroinflammatory lesions are common in head and neck surgical pathology.
• Accurate diagnosis is crucial for patient management.
• A systematic approach can improve diagnostic yield.

Observation:

• The sinonasal tract frequently presents with fibroinflammatory lesions.
• Lesions can be categorized into reactive, infectious, and neoplastic groups.
• Differential diagnosis requires consideration of common to rare entities.

Findings:

• Reactive lesions include chronic rhinosinusitis, polyps, granulomatosis with polyangiitis, and eosinophilic angiocentric fibrosis.
• Infectious causes encompass fungal infections, rhinoscleroma, and mycobacterial infections.
• Neoplastic possibilities include hemangioma, inflammatory myofibroblastic tumor, and NK/T-cell lymphoma.

Implications:

• An algorithmic diagnostic strategy facilitates accurate identification of sinonasal fibroinflammatory lesions.
• Histologic patterns, cell types, and ancillary studies guide diagnosis.
• Correct diagnosis is essential for appropriate clinical management and treatment planning.