Status:
RECRUITING
Artificial Intelligent Accelerates the Learning Curve for Mastering Contrast-enhanced Ultrasound of Thyroid Nodules
Lead Sponsor:
Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Conditions:
Thyroid Nodule
Eligibility:
All Genders
18+ years
Brief Summary
The goal of this observational study is to learn about the learning curve for mastering the thyroid imaging reporting and data system of contrast-enhanced ultrasound with the assistance of artificial ...
Eligibility Criteria
Inclusion
- Patients with thyroid nodules with a solid component ≥5 mm confirmed by conventional ultrasound;
- Patients who underwent conventional ultrasound, contrast-enhanced ultrasound, and fine-needle aspiration biopsy;
- Patients with a final benign or malignant pathological results.
Exclusion
- Patients with cytopathology of Bethesda I, III, or IV and without final benign or malignant pathology；
- Patients with a history of thyroid ablation or surgery;
- Patients with low-quality ultrasound images.
Key Trial Info
Start Date :
January 3 2024
Trial Type :
OBSERVATIONAL
Allocation :
ESTIMATED
End Date :
December 31 2026
Estimated Enrollment :
1000 Patients enrolled
Trial Details
Trial ID
NCT05982821
Start Date
January 3 2024
End Date
December 31 2026
Last Update
August 9 2023
Active Locations (1)
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1
Sun Yat-sen Memorial Hospital, Sun Yat-sen University
Guangzhou, Guangdong, China, 510289