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

NCT07532928 · Status: ENROLLING_BY_INVITATION · Type: OBSERVATIONAL · Enrollment: 571

Last updated 2026-07-20

No results posted yet for this 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.

Conditions

  • Deep Learning
  • Head & Neck Squamous Cell Carcinoma

Sponsors & Collaborators

  • Peking University Shenzhen Hospital

    collaborator OTHER

  • Nanfang Hospital, Southern Medical University

    lead OTHER

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-08-15
Primary Completion
2026-12-31
Completion
2028-12-31

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT07532928 on ClinicalTrials.gov