1. A classification of chronic rhinosinusitis with nasal polyps based on structured histopathology
- Author
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Luciano Giacomelli, Daniela Parrino, Umberto Barion, Gino Marioni, Leonardo Franz, Claudia Zanotti, Valentina Carraro, Giulia Tealdo, Lara Alessandrini, and Giuseppe Brescia
- Subjects
0301 basic medicine ,medicine.medical_specialty ,Allergy ,Histology ,Gastroenterology ,Pathology and Forensic Medicine ,Cohort Studies ,03 medical and health sciences ,Nasal Polyps ,0302 clinical medicine ,Fibrosis ,Internal medicine ,Eosinophilic ,Cluster Analysis ,Humans ,Medicine ,Nasal polyps ,Sinusitis ,Retrospective Studies ,Rhinitis ,Inflammation ,business.industry ,Respiratory disease ,General Medicine ,Eosinophil ,medicine.disease ,Squamous metaplasia ,Eosinophils ,030104 developmental biology ,medicine.anatomical_structure ,030220 oncology & carcinogenesis ,Chronic Disease ,Histopathology ,business - Abstract
AIMS In chronic rhinosinusitis with nasal polyps (CRSwNP), tools based on objective evidence, such as histopathology, are needed to assist clinical decision-making. The main aim of this exploratory investigation was to determine whether structured histopathology could be used to classify CRSwNP in homogeneous histological clusters. METHODS AND RESULTS A cohort of 135 CRSwNP patients was assessed, on the basis of clinicopathological features: allergic fungal rhinosinusitis (17 patients); non-steroidal anti-inflammatory drug-exacerbated respiratory disease (19 patients); intrinsic asthma (18 patients); extrinsic asthma (21 patients); allergy (21 patients); histologically eosinophilic (22 patients); and histologically non-eosinophilic (17 patients). For structured histopathology, we considered: the degree of inflammation; eosinophil count; eosinophil aggregates; neutrophil infiltration; goblet cell hyperplasia; basement membrane thickening; fibrosis; hyperplastic/papillary changes; squamous metaplasia; mucosal ulceration; and subepithelial oedema. Cluster analysis identified four distinct sets of cases. On discriminant analysis, the global error rate was 1.48%, and the stratified error rates were 4.34%, 0%, 0%, and 0% for clusters 1, 2, 3 and 4, respectively. Cluster 1 was characterised by infrequent fibrosis (
- Published
- 2019