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A pathological prediction model of chronic sinusitis with nasal polyps based on deep learning

A pathological prediction model of chronic sinusitis with nasal polyps based on deep learning

Status
Recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR1900021601
Enrollment
Unknown
Registered
2019-02-28
Start date
2019-05-01
Completion date
Unknown
Last updated
2019-03-04

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

chronic rhinosinusitis with nasal polyps

Interventions

Gold Standard:The diagnostic criteria were strictly in accordance with the diagnostic guidelines for chronic rhinosinusitis issued by the European Academy of Allergy and Clinical Immunology (EAACI) in
nasal discharge or postnasal drip, often mucopurulent
secondary symptoms:facial pain or&
Index test:The&#32
of&#32
polyps:eosinophilic&#32
rhinosinusitis&#32
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non-eosinophilic&#32

Sponsors

The Third Affiliated Hospital, Sun Yat-sen University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 70 Years

Inclusion criteria

Inclusion criteria: The diagnostic criteria were strictly in accordance with the diagnostic guidelines for chronic rhinosinusitis issued by the European Academy of Allergy and Clinical Immunology (EAACI) in 2012. Main symptoms: nasal blockage, congestion or stuffiness; nasal discharge or postnasal drip, often mucopurulent; secondary symptoms: facial pain or pressure, headache, and reduction/loss of smell. The main foundation of diagnosis of schizophrenia was one of the primary symptoms, and the sinus CT, nasal endoscopy confirmed unilateral or bilateral nasal polyp; Adult patients; Patients who were followed up according to the doctor's advice; Informed consent was signed.

Exclusion criteria

Exclusion criteria: Have used any form of antibiotics or glucocorticoids within 3 months, and have not received immunotherapy; Other nasal diseases such as posterior nostril polyp, cystic fibrosis, primary ciliary immobile disease, fungal rhinitis, allergic rhinitis, inverted papilloma, etc.;Complicated with upper respiratory tract infection, asthma or other serious systemic diseases.

Design outcomes

Primary

MeasureTime frame
percent of tissue eosinophils;

Countries

China

Contacts

Public ContactDeng Huiyi

The Third Affiliated Hospital, Sun Yat-sen University

deng.huiyi@foxmail.co+86 15521127735

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026