Clinical trial · Observational
AI Models to Predict Thyroid Cartilage Invasion in Laryngeal Carcinoma
CT-based Radiomics, Two-dimensional and Three-dimensional Deep Learning Models to Predict Thyroid Cartilage Invasion in Laryngeal Carcinoma: a Multicenter Study
- 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 retrospective study was to develop and verify CT-based AI model to preoperatively predict the thyroid cartilage invasion of laryngeal cancer patients, so as to provide more accurate diagnosis and treatment basis for clinicians. In addition, the researchers investigated the prediction of survival outcomes of patients by the above optimal models.
Conditions
Conditions (2)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Laryngeal Carcinoma | Laryngeal Carcinoma | ONTOLOGY_EXACT | 0.98 |
| Thyroid Cartilage | — | UNRESOLVED | — |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| AI | Other | — | UNRESOLVED |
Design
Arms and outcomes
Arms (3)
- label
- training cohort
- description
- No interventions
- interventionNames
- Other: AI
- label
- internal validation cohort
- description
- No interventions
- interventionNames
- Other: AI
- label
- external validation cohort
- description
- No interventions
- interventionNames
- Other: AI
Primary outcomes (1)
- measure
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
- Maximum age
- 81 Years
Show eligibility criteria text
Inclusion Criteria: 1. Availability of complete clinical data 2. Surgery-proven or biopsy-proven diagnosis of laryngeal squamous cell carcinoma 3. CT examination performed within 2 weeks before surgery Exclusion Criteria: 1. Patients who received preoperative chemotherapy or radiation therapy 2. CT images with significant artifacts 3. Patients with tumor recurrence
References
Publications (0)
Data not yet available