Using AI to predict thyroid cartilage invasion in laryngeal cancer
CT-based Radiomics, Two-dimensional and Three-dimensional Deep Learning Models to Predict Thyroid Cartilage Invasion in Laryngeal Carcinoma: a Multicenter Study
First Affiliated Hospital of Chongqing Medical University · NCT06463756
This study is testing a new AI tool that uses CT scans to see if it can help doctors predict thyroid cartilage invasion in patients with laryngeal cancer, which could improve treatment decisions and patient outcomes.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 400 (estimated) |
| Ages | 18 Years to 81 Years |
| Sex | All |
| Sponsor | First Affiliated Hospital of Chongqing Medical University (other) |
| Drugs / interventions | chemotherapy, radiation |
| Locations | 1 site (Chongqing) |
| Trial ID | NCT06463756 on ClinicalTrials.gov |
What this trial studies
This observational study aims to develop and validate a CT-based artificial intelligence model to predict thyroid cartilage invasion in patients with laryngeal squamous cell carcinoma. By analyzing preoperative CT scans, the model seeks to enhance diagnostic accuracy and inform treatment decisions, which are critical for patient outcomes. The study also explores the potential of these models to predict survival outcomes for patients, thereby providing valuable insights for clinicians in managing laryngeal cancer.
Who should consider this trial
Good fit: Ideal candidates for this study are patients diagnosed with laryngeal squamous cell carcinoma who have undergone a CT examination within two weeks prior to surgery.
Not a fit: Patients who have received preoperative chemotherapy or radiation therapy, or those with tumor recurrence, may not benefit from this study.
Why it matters
Potential benefit: If successful, this study could lead to more accurate treatment decisions and improved survival rates for patients with laryngeal carcinoma.
How similar studies have performed: Other studies utilizing AI and radiomics for cancer prediction have shown promising results, indicating potential success for this approach.
Eligibility criteria
Show full inclusion / exclusion criteria
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
Where this trial is running
Chongqing
- The First Affiliated Hospital of Chongqing Medical University — Chongqing, China (RECRUITING)
How to participate
- Review the eligibility criteria above with your treating physician.
- Visit the official trial page on ClinicalTrials.gov for the most current contact information and recruitment status.
- Contact the listed study coordinator or principal investigator to request pre-screening. Pre-screening is free and never obligates you to enroll.
Conditions: Laryngeal Carcinoma, Thyroid Cartilage, radiomics, deep learning