Using AI-assisted ultrasound for evaluating thyroid cancer before surgery
Clinical Application of AI-assisted Ultrasound Technology in the Preoperative Evaluation of Thyroid Cancer
NA · Fujian Medical University · NCT06498674
This study is testing whether using AI-assisted ultrasound can help doctors better identify thyroid cancer before surgery by comparing it to regular ultrasound results.
Quick facts
| Phase | NA |
|---|---|
| Study type | Interventional |
| Enrollment | 300 (estimated) |
| Sex | All |
| Sponsor | Fujian Medical University (other) |
| Locations | 1 site (Fuzhou, Fujian) |
| Trial ID | NCT06498674 on ClinicalTrials.gov |
What this trial studies
This study explores the use of AI-assisted ultrasound technology to improve the preoperative assessment of thyroid cancer. It involves collecting traditional ultrasound data from patients and comparing it with AI-generated results to detect thyroid nodules and lymph nodes. In cases of discrepancies, further confirmation through biopsy will be conducted, with pathological results serving as the gold standard for accuracy comparison. The goal is to enhance diagnostic reliability and support clinical decision-making in thyroid cancer treatment.
Who should consider this trial
Good fit: Ideal candidates include patients with confirmed thyroid malignant tumors or benign tumors requiring surgery, who have high-quality ultrasound images.
Not a fit: Patients with a history of neck surgery, radiotherapy, or other malignancies, as well as those with thyroid dysfunction, may not benefit from this study.
Why it matters
Potential benefit: If successful, this approach could lead to more accurate preoperative evaluations, improving treatment outcomes for thyroid cancer patients.
How similar studies have performed: While the application of AI in medical imaging is gaining traction, this specific approach to thyroid cancer assessment is relatively novel and has not been extensively tested in prior studies.
Eligibility criteria
Show full inclusion / exclusion criteria
Inclusion Criteria: * Patients with preoperative pathological confirmation of thyroid malignant tumors undergoing surgical treatment. * Patients with benign thyroid tumors, such as thyroid adenomas causing compressive symptoms, undergoing surgical treatment. * Patients with complete and high-quality traditional two-dimensional color ultrasound images. * Complete postoperative pathology reports. * Willingness to participate in this clinical trial and signing of informed consent. Exclusion Criteria: * Patients with a history of neck surgery or radiotherapy. * Patients with a history of malignant tumors in other parts of the body. * Patients with thyroid dysfunction. * Incomplete or poor-quality traditional two-dimensional color ultrasound images. * Incomplete postoperative pathology reports. * Refusal to participate in this clinical trial.
Where this trial is running
Fuzhou, Fujian
- Fujian Medical University Union Hospital — Fuzhou, Fujian, China (RECRUITING)
Study contacts
- Study coordinator: Bo Wang Professor
- Email: wangbo@fjmu.edu.cn
- Phone: 13959123550
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: Thyroid Cancer, Artificial Intelligence, Ultrasound, Preoperative Assessment