Actively Recruiting
Multimodal Assessment of Malignancy in Atypia of Undetermined Significance in Thyroid Nodules Using Ultrasound and Cytology Whole-Slide Images
Led by Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University · Updated on 2026-04-01
396
Participants Needed
1
Research Sites
19 weeks
Total Duration
On this page
AI-Summary
What this Trial Is About
The prospective study aim to develop a multimodal deep learning model that integrates ultrasound images and cytological whole-slide images for more accurate malignant risk prediction of Bethesda III thyroid nodules.
CONDITIONS
Official Title
Multimodal Assessment of Malignancy in Atypia of Undetermined Significance in Thyroid Nodules Using Ultrasound and Cytology Whole-Slide Images
Who Can Participate
Eligibility Criteria
You may qualify if you...
- Patients who underwent fine-needle aspiration of thyroid nodules and received a cytological diagnosis of Bethesda III
- Patients who subsequently had thyroid surgery with a definitive benign or malignant histopathological diagnosis
- Availability of at least one ultrasound image taken before surgery
You will not qualify if you...
- Patients without confirmation by surgical pathology
- Patients without any available or usable ultrasound images
AI-Screening
AI-Powered Screening
Complete this quick 3-step screening to check your eligibility
Trial Site Locations
Total: 1 location
1
No. 33 Yingfeng Road, Haizhu District, Guangzhou City, Guangdong Province, Sun Yat-sen Memorial Hospital
Guangzhou, Guangzhou, China, 510288
Actively Recruiting
Research Team
J
Jingliang Ruan, Ph.D.
CONTACT
X
Xinmin Xiao, B.S.
CONTACT
How is the study designed?
Study Type
OBSERVATIONAL
Masking
N/A
Allocation
N/A
Model
N/A
Primary Purpose
N/A
Number of Arms
2
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