- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT07488325
Multimodal Assessment of Malignancy in Atypia of Undetermined Significance in Thyroid Nodules Using Ultrasound and Cytology Whole-Slide Images
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Objectives: 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.
Materials and Methods: A ultrasound model, a cytology model, and a fusion model were constructed in this single-center retrospective diagnostic accuracy test. Consecutive patients with Bethesda III thyroid nodules who underwent conventional US examination and fine-needle aspirations were included between January 2016 and December 2024 in Sun Yat-sen Memorial Hospital, Sun Yat-sen University. The reference standard was postoperative histopathology or BRAFV600E mutation. Receiver operating characteristic curve analysis was used to evaluate the diagnostic performance, and decision curve analysis was used to assess the clinical utility.
Study Type
Enrollment (Estimated)
Contacts and Locations
Study Contact
- Name: Jingliang Ruan, Ph.D.
- Phone Number: +8613694202230
- Email: ruanjl3@mail.sysu.edu.cn
Study Contact Backup
- Name: Xinmin Xiao, B.S.
- Phone Number: +8618420058253
Study Locations
-
-
Guangzhou
-
Guangzhou, Guangzhou, China, 510288
- Recruiting
- No. 33 Yingfeng Road, Haizhu District, Guangzhou City, Guangdong Province, Sun Yat-sen Memorial Hospital
-
Contact:
- Jingliang Ruan, Ph.D.
- Phone Number: +8613694202230
- Email: ruanjl3@mail.sysu.edu.cn
-
Contact:
- Xinmin Xiao, B.S.
- Phone Number: +8618420058253
- Email: 1124507651@qq.com
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
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.
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
|---|---|
|
Benign thyroid nodule
Confirmed by histopathology.
|
This is a observation stufy.
|
|
Malignant thyroid nodule
Confirmed by histopathology.
|
This is a observation stufy.
|
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
Pathological diagnosis.
Time Frame: One month after the surgery.
|
WHO guidelines.
|
One month after the surgery.
|
Collaborators and Investigators
Investigators
- Principal Investigator: Jingliang Ruan, Ph.D., Sun Yat-Sen Memorial Hospital of Sun Yat-Sen University
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Estimated)
Study Completion (Estimated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Keywords
Additional Relevant MeSH Terms
Other Study ID Numbers
- SYSEC-AF-SW09-06.0
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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