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Multimodal Assessment of Malignancy in Atypia of Undetermined Significance in Thyroid Nodules Using Ultrasound and Cytology Whole-Slide Images

RECRUITINGSponsored by Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Actively Recruiting
SponsorSun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Started2026-03-01
Est. completion2026-06-30
Eligibility
Age18 Years – 80 Years
Healthy vol.Accepted
View on ClinicalTrials.gov →

NCT07488325

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

Age: 18 Years – 80 YearsHealthy volunteers accepted
Inclusion Criteria:

* (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 Criteria:

* (a) Patients without confirmation by surgical pathology,.
* (b) Patients without any available or usable ultrasound images.

Conditions2

CancerThyroid Nodule

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