Clinical trial · Observational
A Machine Learning-Based Risk Prediction Model for Head and Neck Cancerous Lesions
A Machine Learning-Based Risk Prediction Model for Head and Neck Cancerous Lesions: A Multidimensional Feature Study Integrating Demographics and Clinical Symptomatology
NCT07532538CI-TRIAL-00125417ML-HNC-RiskrecruitingClinicalTrials.gov clinicaltrialsProvenance
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
This study aims to develop and validate a clinical prediction model for the risk of head and neck cancerous lesions using deep learning combined with AI algorithms, based on multi-center clinical data.
Conditions
Conditions (3)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Head and Neck Cancer | Malignant Head and Neck Neoplasm | ALIAS | 0.90 |
| Hypopharyngeal Cancer | Malignant Hypopharyngeal Neoplasm | CURATED_EXACT | 0.92 |
| Laryngeal Cancer | Malignant Laryngeal Neoplasm | CURATED_EXACT | 0.92 |
Interventions
Interventions (0)
Data not yet available
No intervention recorded.
Design
Arms and outcomes
Arms (2)
- label
- Patients with head and neck malignancies
- description
- Comprised patients with histopathologically confirmed head and neck malignant lesions, primarily including laryngeal and hypopharyngeal carcinomas.
- label
- Patients without head and neck malignancies
- description
- Consisted of patients absent of malignant findings, encompassing individuals with normal laryngeal anatomy and those diagnosed with benign vocal fold lesions (e.g., polyps, cysts, and nodules).
Primary outcomes (1)
- measure
- Laryngoscopic report diagnosis
- timeFrame
- During the first outpatient visit (Day 1)
- description
- those data will be collected via medical history records，"The laryngoscopic report diagnosis" primarily consists of detailed diagnostic classifications for various vocal fold and laryngeal pathologies.
Secondary outcomes (2)
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
- Maximum age
- 100 Years
Show eligibility criteria text
Inclusion Criteria: Age ≥ 18 years old. Patients with complete clinical data information and laryngoscopic images. Exclusion Criteria: Refusal to sign the informed consent form. Incomplete clinical data. Known diagnosis of other head and neck malignancies (thyroid cancer, malignant parotid tumors, etc.
References
Publications (0)
Data not yet available
No reference posted for this study.