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.
This clinical study is an observational bidirectional study. A retrospective cohort is used to train the model for recurrent risk prediction and adjuvant treatment decision-making, while a prospective cohort serves as an external validation set to verify the model performance.
Study Type
OBSERVATIONAL
Enrollment
571
Department of Radiation Oncology, Nanfang Hospital, Southern Medical University
Guangzhou, China
2-year progress-free survival
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.
Time frame: 2 years
2-year overall survival
From the initiation of treatment to the date of death from any cause or the cutoff date of follow-up.
Time frame: 2 years
2-year recurrence-free survival
From the initiation of treatment to the date of first local tumor recurrence, regional lymph node metastasis, or tumor-related death, whichever occurs first. If no such event was observed by the cutoff date of follow-up, the last follow-up date was used.
Time frame: 2 years
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