RECRUITINGOBSERVATIONAL
Multimodal Assessment of Malignancy in Atypia of Undetermined Significance in Thyroid Nodules Using Ultrasound and Cytology Whole-Slide Images
About This Trial
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.
Who May Be Eligible (Plain English)
Who May Qualify:
- (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.
Who Should NOT Join This Trial:
- (a) Patients without confirmation by surgical pathology,.
- (b) Patients without any available or usable ultrasound images.
Always talk to your doctor about whether this trial is right for you.
Original Eligibility Criteria
View original clinical language
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.
Treatments Being Tested
OTHER
Histopathology or cytopathology.
This is a observation stufy.
Locations (1)
No. 33 Yingfeng Road, Haizhu District, Guangzhou City, Guangdong Province, Sun Yat-sen Memorial Hospital
Guangzhou, Guangzhou, China