AI analysis of tumor characteristics in papillary thyroid carcinoma
AI-Based Multimodal Multi-tasks Analysis Reveals Tumor Molecular Heterogeneity, Predicts Preoperative Lymph Node Metastasis and Prognosis in Papillary Thyroid Carcinoma: A Retrospective Study
This study is testing a new way to use advanced technology to see if it can help predict how well people with papillary thyroid cancer will do and if their cancer will spread to lymph nodes.
Quick facts
| Study type | Observational |
|---|---|
| Enrollment | 256 (estimated) |
| Sex | All |
| Sponsor | Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University Academic / other |
| Locations | 1 site (Guangzhou, Guangdong) |
| Trial ID | NCT06241092 on ClinicalTrials.gov |
What this trial studies
This study analyzes data from 256 patients with papillary thyroid carcinoma (PTC) at Sun Yat-sen Memorial Hospital and 499 patients from The Cancer Genome Atlas. It employs DNA-based next-generation sequencing and single-cell RNA sequencing to identify genetic alterations and tumor microenvironment heterogeneity. A deep learning multimodal model is developed to predict lymph node metastasis and disease-free survival by integrating histopathology images, genomic, transcriptomic, and immune cell data.
Who should consider this trial
Good fit: Ideal candidates for this study are adults aged 18 and older diagnosed with papillary thyroid carcinoma at least one month prior to enrollment.
Not a fit: Patients requiring valve surgery or those unable to perform physical activities without discomfort may not benefit from this study.
Why it matters
Potential benefit: If successful, this study could enhance the accuracy of predicting lymph node metastasis and prognosis in patients with papillary thyroid carcinoma.
How similar studies have performed: While the use of AI in cancer prognosis is gaining traction, this specific multimodal approach to analyze papillary thyroid carcinoma is relatively novel and has not been extensively tested.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: ≥ 18 years of age Diagnosis of Papillary thyroid carcinoma at least one months before trial Willing to return for required follow-up (posttest) visits Exclusion Criteria: The patient requires valve or other likely surgery The patient is unable to carry out any physical activity without discomfort The patient had thyroid ache within three months prior to enrollment The patient refuses to give informed consent The patient is a candidate for coronary bypass surgery or something similar
Where this trial is running
Guangzhou, Guangdong
- Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University — Guangzhou, Guangdong, 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.