A prospective multicenter clinical study of the effectiveness of multimodal clinical data-based deep learning model in predicting the long-term outcome of chronic sinusitis endoscopic sinus surgery

Status

Recruiting

Phases

Early Phase 1

Study type

Observational

Source

ChiCTR

Registry ID

ChiCTR2100046919

Enrollment

Unknown

Registered

2021-05-30

Start date

2021-09-01

Completion date

Unknown

Last updated

2022-01-10

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

Conditions

Chronic rhinosinusitis

Interventions

Gold Standard:Clinical outcomes

Index test:A&#32

multimodal&#32

clinical&#32

data-based&#32

deep&#32

learning&#32

model

Eligibility

Sex/Gender

All

Age

18 Years to No maximum

Inclusion criteria

Inclusion criteria: Adult patients diagnosed with chronic sinusitis according to EPOS 2020 guidelines.

Exclusion criteria

Exclusion criteria: 1. Patients with nasal cavity and sinus tumors; 2. The patient has malignant tumors in any part of the body.

Design outcomes

Primary

Measure	Time frame
Degree of disease control;SEN, SPE, ACC, AUC of ROC, PPV, NPV;	—

Countries

China

Contacts

Public ContactSun Yueqi

The Seventh Affiliated Hospital, Sun Yat-Sen University

aqi1733@163.com+86 13719273074

Outcome results

None listed

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