Ignite Creation Date:
2024-07-17 @ 11:20 AM
Last Modification Date:
2024-10-26 @ 3:34 PM
Study NCT ID:
NCT06498674
Status:
RECRUITING
Last Update Posted:
2024-07-12
First Post:
2024-06-09
Brief Title:
Clinical Application of AI-assisted Ultrasound Technology in the Preoperative Evaluation of Thyroid Cancer
Sponsor:
Fujian Medical University
Organization:
Fujian Medical University
Study Overview
Official Title:
Clinical Application of AI-assisted Ultrasound Technology in the Preoperative Evaluation of Thyroid Cancer
Status:
RECRUITING
Status Verified Date:
2024-09
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
False
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
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
Detailed Description:
This study aims to investigate the application of AI-assisted ultrasound technology in the preoperative assessment of thyroid cancer Traditional ultrasound examination data from patients with thyroid cancer including two-dimensional ultrasound images color Doppler flow images and detailed characteristics of thyroid nodules and lymph nodes such as number size morphology echogenicity margins calcifications and aspect ratio will be collected Prior to surgery a reassessment will be conducted using AI-assisted ultrasound technology and the detection and diagnostic results of thyroid nodules and lymph nodes by the AI system will be recorded In cases where there is discrepancy between the results of two-dimensional ultrasound and the AI system fine needle aspiration biopsy or intraoperative biopsy will be performed for further confirmation of their nature Post-surgery the pathological results of each nodule will serve as the gold standard for comparative analysis between the AI system and traditional two-dimensional ultrasound examinations The accuracy of the AI system in detecting and localizing nodules will be analyzed and its sensitivity specificity and accuracy will be calculated to evaluate its diagnostic efficacy and reliability in the preoperative assessment of thyroid cancer Through this research a more accurate and reliable adjunctive diagnostic method for the preoperative assessment of thyroid cancer is aimed to be provided to assist clinical decision-making Additionally new avenues and directions for the application of AI in the field of medical imaging diagnosis will be explored
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
False
Is a FDA Regulated Device?:
False
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None