A Bidirectional Study of Individualized Postoperative Adjuvant Treatment Decision Model for Locally Advanced Head and Neck Squamous Cell Carcinoma Based on Multimodal Dynamic Data

Based on multimodal data, the investigators establish a dynamic deep learning model to conduct prognostic risk assessment for patients and recommend the 'most suitable' treatment/follow-up regimen after radical treatment, assisting clinicians in improving homogenized evaluation levels and achieving individualized precision therapy, thereby providing scientific evidence for the currently widely debated selection of postoperative adjuvant therapy in locally advanced head and neck squamous cell carcinoma patients.

NCT Number	NCT07532928
Lead Sponsor	Nanfang Hospital, Southern Medical University Collaborators: Peking University Shenzhen Hospital
Conditions	Deep Learning, Head & Neck Squamous Cell Carcinoma
Enrollment	571 participants
Start Date	2025-08-15
Primary Completion	2026-12 (estimated)
Study Completion	2028-12 (estimated)
Updated on ClinicalTrials.gov	2026-07-20