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Radiomics Model for Assessing Lymph Node Status in cN0 Patients withHNSCC

NCT06757530 · Status: COMPLETED · Type: OBSERVATIONAL · Enrollment: 700

Last updated 2025-05-28

No results posted yet for this study

Summary

Occult lymph node metastasis (LNM) remains one of the most critical and challenging aspects of managing head and neck squamous cell carcinoma (HNSCC). Defined as the presence of metastatic disease in lymph nodes that are clinically undetectable through routine imaging or physical examination, occult LNM has profound implications for treatment planning, prognosis, and overall patient management. In HNSCC, accurate detection and prediction of occult LNM are crucial as they significantly influence decisions regarding the extent of neck dissection, the need for adjuvant therapies, and the overall therapeutic strategy. Undiagnosed or underestimated LNM can result in inadequate treatment, increasing the risk of locoregional recurrence and poor survival outcomes.

Conditions

  • HNSCC

Interventions

DIAGNOSTIC_TEST

AI

Using artificial intelligence models to distinguish between patients with lymph node metastasis and those without lymph node metastasis.

Sponsors & Collaborators

  • Zigong The Fourth People's Hospital

    collaborator OTHER

  • First Affiliated Hospital of Chongqing Medical University

    lead OTHER

Eligibility

Min Age
18 Years
Max Age
89 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2024-11-27
Primary Completion
2025-04-15
Completion
2025-04-15

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 NCT06757530 on ClinicalTrials.gov