Using ultrasound images and cell slides to predict cancer risk in uncertain thyroid nodules
Builds a computer model to estimate cancer risk in thyroid nodules with unclear biopsy results.
Plain-language title generated from the registry record
Registry title: Multimodal Assessment of Malignancy in Atypia of Undetermined Significance in Thyroid Nodules Using Ultrasound and Cytology Whole-Slide Images
Key facts
- Where
- Guangzhou, ChinaSee the site
Could this be for you?
Answer for yourself. This is not a decision: only the study team can say whether you can take part.
- Are you between 18 and 80 years old?
Source: NCT07488325, who can take part
Where in China
- No. 33 Yingfeng Road, Haizhu District, Guangzhou City, Guangdong Province, Sun Yat-sen Memorial HospitalGuangzhou, ChinaTaking people
Questions to ask the study team
- How often do I need to come in, and for how long each time?
- Are travel costs paid?
- Can I keep my own doctor?
- What happens if I want to stop?
Trial details
- Who runs it
- Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
- Trial code
- NCT07488325
- Record updated
- 1 April 2026
- Original description
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.Read full original descriptionShow less
Multimodal Assessment of Malignancy in Atypia of Undetermined Significance in Thyroid Nodules Using Ultrasound and Cytology Whole-Slide Images
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.
Inclusion: (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: (a) Patients without confirmation by surgical pathology,; (b) Patients without any available or usable ultrasound images.