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MRI Radiomics-Deep Learning Model for Sinonasal and Nasopharyngeal Squamous Cell Carcinoma: Diagnosis and Recurrence Prediction

MRI Radiomics-Deep Learning Model for Sinonasal and Nasopharyngeal Squamous Cell Carcinoma: Diagnosis and Recurrence Prediction

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500107067
Enrollment
Unknown
Registered
2025-08-04
Start date
2025-08-04
Completion date
Unknown
Last updated
2025-08-18

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

Conditions

Sinonasal and Nasopharyngeal SCC

Interventions

Gold Standard:Pathological examination
Index test:Area Under Curve(AUC),C-index value

Sponsors

Eye&ENT Hospital,Fudan University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Patients with pathologically confirmed sinonasal and nasopharyngeal cell carcinoma (SCC) who underwent pretreatment multiparametric MRI with complete imaging sequences and comprehensive clinical records at our institution were enrolled.

Exclusion criteria

Exclusion criteria: Exclusion Criteria: (1) Prior treatment received before MRI examination; (2) Lesions too small for reliable tumor delineation on MRI; (3) Poor-quality MRI images with incomplete sequences or significant artifacts; (4) Incomplete clinical or pathological documentation.

Design outcomes

Primary

MeasureTime frame
Area Under Curve;—

Countries

??

Contacts

Public ContactNaier Lin

Eye&ENT Hospital,Fudan University

812470842@qq.com+86 159 2188 8621

Outcome results

None listed

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