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Establishing an artificial intelligence diagnostic model for contralateral neck lymph node metastasis in head and neck squamous cell carcinoma in situ based on multimodal radiomics: a prospective, observational cohort study

Establishing an artificial intelligence diagnostic model for contralateral neck lymph node metastasis in head and neck squamous cell carcinoma in situ based on multimodal radiomics: a prospective, observational cohort study

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2400093626
Enrollment
Unknown
Registered
2024-12-09
Start date
2023-11-21
Completion date
Unknown
Last updated
2024-12-16

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

head and neck squamous cell carcinoma

Interventions

Training group:None
Validation group:None

Sponsors

Sun Yat-sen Memorial Hospital, Sun Yat-sen University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 90 Years

Inclusion criteria

Inclusion criteria: 1. Preoperative pathology suggests malignant tumors in the head neck and maxillofacial region; 2. Neck lymph node dissection is performed during surgery; 3. Preoperative imaging examinations such as MRI and CT are conducted; 4. Postoperative lymph node pathology is confirmed;

Exclusion criteria

Exclusion criteria: 1. Those who have not undergone preoperative pathological biopsy for a clear diagnosis; 2. Those who refuse to undergo surgical radical treatment and do not accept neck lymph node dissection treatment; 3. Those who have not completed MRI CT and other examinations before surgery and those with severe artifact interference in the lesion area; 4. Those with incomplete pathological report data after surgery;

Design outcomes

Primary

MeasureTime frame
Sensitivity;Specificity;Positive predictive value;Negative predictive value;Accuracy;AUC;

Secondary

MeasureTime frame
Postoperative neck metastasis-free survival time for the patient;

Countries

China

Contacts

Public ContactHuang Zhiquan

Sun Yat-sen Memorial Hospital, Sun Yat-sen University

zhiquanhuang1978@126.com+86 13826142898

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026