RecruitingNCT07488325
Multimodal Assessment of Malignancy in Atypia of Undetermined Significance in Thyroid Nodules Using Ultrasound and Cytology Whole-Slide Images
Sponsor
Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Enrollment
396 participants
Start Date
Mar 1, 2026
Study Type
OBSERVATIONAL
Conditions
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
Min Age: 18 YearsMax Age: 80 Years
Inclusion Criteria3
- (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.
Exclusion Criteria2
- (a) Patients without confirmation by surgical pathology,.
- (b) Patients without any available or usable ultrasound images.
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Interventions
OTHERHistopathology or cytopathology.
This is a observation stufy.
Locations(1)
View Full Details on ClinicalTrials.gov
For the most up-to-date information, visit the official listing.
NCT07488325
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