Head and Neck Cancer
Conditions
Brief summary
This study focuses on tumor heterogeneity, a core challenge in the field of oncology, and innovatively utilizes patient imaging data to deeply mine and analyze intratumoral heterogeneity. By constructing an imaging analysis model for tumor heterogeneity and associating this model with clinical, pathological, transcriptomic, and metabolomic data of patients, a multi-omics decoding of tumor heterogeneity is achieved. The main questions it aims to address are: Can the ITH model stratify patients' treatment efficacy and prognosis assessment? Can pathological and multi-omics sequencing map the mechanisms behind the ITH model?
Interventions
None listed
Sponsors
Study design
Eligibility
Inclusion criteria
Pathologically confirmed head and neck squamous cell carcinoma (HNSCC). Complete clinical, imaging, and pathological data. Available complete follow-up information.
Exclusion criteria
Patients who received chemotherapy or radiotherapy before surgery. Poor image quality. Tumors too small to be easily identified. History of other concurrent malignant tumors.
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| AUC | through study completion, an average of 1 year |
| C-index | through study completion, an average of 1 year |
Countries
China