NCT06498674 Clinical Application of AI-assisted Ultrasound Technology in the Preoperative Evaluation of Thyroid Cancer
| NCT ID | NCT06498674 |
| Status | Recruiting |
| Phase | — |
| Sponsor | Fujian Medical University |
| Condition | Thyroid Cancer |
| Study Type | INTERVENTIONAL |
| Enrollment | 300 participants |
| Start Date | 2024-07-01 |
| Primary Completion | 2025-06-30 |
Trial Parameters
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Brief Summary
This study aims to explore the application of AI-assisted ultrasound technology in the preoperative assessment of thyroid cancer. Traditional ultrasound examination data from thyroid cancer patients will be collected, and AI systems will be utilized to detect and diagnose thyroid nodules and lymph nodes. In cases where there is disagreement between the two-dimensional ultrasound and AI system results, further confirmation will be sought through biopsy. Subsequently, pathological results will serve as the "gold standard" for comparison between the AI system and traditional ultrasound examination results, assessing their accuracy and reliability. Through this research endeavor, a more accurate and reliable method for preoperative assessment of thyroid cancer is aspired to be offered, thereby supporting clinical decision-making and paving the way for novel applications of AI in the field of medical imaging diagnosis.
Eligibility 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.
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