Predictive value of computed tomography for eosinophilic chronic rhinosinusitis with nasal polyps in different histopathologic criteria.

ABSTRACT:

Background

Computed tomography (CT) scan is a good and noninvasive prediction tool for eosinophilic chronic rhinosinusitis with nasal polyps (eCRSwNP), and how to choose the appropriate CT parameter is crucial-especially because there have not been unanimous histopathologic criteria to diagnose eCRSwNP.

Objective

This study sought to select the suitable CT parameter to predict eCRSwNP in different criteria.

Method

This retrospective study included 147 CRSwNP patients who underwent a sinus CT scan and histopathological examination. Nine common CT parameters and 5 representative criteria of eCRSwNP (>5/HPF, >10/HPF, >70/HPF, >10%/HPF and >20%/HPF) were adopted. Logistic regression analysis and ROC analysis were performed to evaluate the predictive value of CT parameters

SUBMITTER: Nie Z 

PROVIDER: S-EPMC12811232 | biostudies-literature | 2026 Jan

REPOSITORIES: biostudies-literature