Multimodal Assessment of Malignancy in Atypia of Undetermined Significance in Thyroid Nodules Using Ultrasound and Cytology Whole-Slide Images
Status: Recruiting
Location: See location...
Intervention Type: Other
Study Type: Observational
SUMMARY
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.
Eligibility
Participation Requirements
Sex: All
Minimum Age: 18
Maximum Age: 80
Healthy Volunteers: f
View:
• (a) Patients who underwent fine-needle aspiration of thyroid nodules and received a cytological diagnosis of Bethesda Ⅲ.
• (b) Patients who subsequently underwent thyroid surgery with a definitive histopathological diagnosis of benign or malignant lesions,.
• (c) Availability of at least one ultrasound image acquired prior to surgery.
Locations
Other Locations
China
No. 33 Yingfeng Road, Haizhu District, Guangzhou City, Guangdong Province, Sun Yat-sen Memorial Hospital
RECRUITING
Guangzhou
Contact Information
Primary
Jingliang Ruan, Ph.D.
ruanjl3@mail.sysu.edu.cn
+8613694202230
Backup
Xinmin Xiao, B.S.
+8618420058253
Time Frame
Start Date: 2026-03-01
Estimated Completion Date: 2026-07-15
Participants
Target number of participants: 396
Treatments
Benign thyroid nodule
Confirmed by histopathology.
Malignant thyroid nodule
Confirmed by histopathology.
Related Therapeutic Areas
Sponsors
Leads: Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University