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Clinical Application of AI-assisted Ultrasound Technology in the Preoperative Evaluation of Thyroid Cancer
Sponsor: Fujian Medical University
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.
Key Details
Gender
All
Age Range
Any - Any
Study Type
INTERVENTIONAL
Enrollment
300
Start Date
2024-07-01
Completion Date
2025-06-30
Last Updated
2024-09-26
Healthy Volunteers
No
Conditions
Interventions
Supplementary Pathological Examination
For the same thyroid nodule, if there is discordance between the interpretations of AI-assisted ultrasound and traditional two-dimensional ultrasound, supplementary fine needle aspiration biopsy or intraoperative biopsy will be performed to clarify the nature of the nodule.
No Need for Supplementary Pathological Examination
For the same thyroid nodule, if there is discordance between the interpretations of AI-assisted ultrasound and traditional two-dimensional ultrasound, there is no need for supplementary fine needle aspiration biopsy or intraoperative biopsy.
Locations (1)
Fujian Medical University Union Hospital
Fuzhou, Fujian, China