A Bidirectional Study of Individualized Postoperative Adjuvant Treatment Decision Model for Locally Advanced Head and Neck Squamous Cell Carcinoma Based on Multimodal Dynamic Data
Condition(s) studied
Study summary
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.
Eligibility
Primary outcome measure(s)
- 2-year progress-free survival — 2 years
From the initiation of treatment to the date of tumor progression (including local recurrence, regional lymph node metastasis, and distant metastasis) or tumor-related death, whichever occurs first. If no progression event was observed by the cutoff date of follow-up, the last follow-up date was used.
Trial sites (1)
| Facility | City | Region | Status |
|---|---|---|---|
| Department of Radiation Oncology, Nanfang Hospital, Southern Medical University | Guangzhou | China |
More Nanfang Hospital, Southern Medical University trials in China
Other trials for the same condition
This page summarises publicly available registry data for informational purposes — not medical advice. Eligibility is determined by each study team; patients should discuss participation with their clinician.
View NCT07532928 on ClinicalTrials.gov ↗ ← All trials in China