Clinical trial · Observational
Application of Ultrasound Artificial Intelligence and Elastography in Differential Diagnosis of Thyroid Nodules
A Multi-center Study of Differential Diagnosis Thyroid Nodules by Ultrasound Artificial Intelligence and Ultrasound Elastography
- Source
- ClinicalTrials.gov
- Retrieved
- Sep 8, 2026
- Layer
- normalized (units and labels harmonized; values unchanged)
- Run
- ING-CLINICALTRIALS-20260908-000001
Summary
Brief summary (as posted)
The application of computer-aided diagnosis (CAD) technology "S-DetectTM" enables qualitative and quantitative automated analysis of ultrasound images to obtain objective, repeatable and more accurate diagnostic results. The Elastic Contrast Factor (ECI) technique, unlike conventional strain-elastic imaging techniques, can evaluate the elastic distribution in the region of interest. The purpose of the study was to evaluate the differential diagnosis value of ultrasound S-DetectTM technology for benign and malignant thyroid nodules and evaluate the consistency of ultrasound S-DetectTM technology and sonographer in the differential diagnosis of thyroid nodules and explore the differential diagnosis value of Samsung ultrasound ECI technology for benign and malignant thyroid nodules.
Conditions
Conditions (1)
Free-text conditions as registered, with the CancerIndex entity they were reconciled to and the match type.
| Condition (as posted) | Mapped entity | Match | Confidence |
|---|---|---|---|
| Thyroid Nodule | — | UNRESOLVED | — |
Interventions
Interventions (1)
| Intervention | Type | Mapped drug | Match |
|---|---|---|---|
| Ultrasound diagnosis | Device | — | UNRESOLVED |
Design
Arms and outcomes
Arms (1)
- label
- thyroid nodules
- description
- Those with one or more breast nodules, age 18 or older, upcoming FNAB or surgery and signed informed consent.Those without adverse effects on the test or threatening other candidates, such as mental illness, pregnancy, poor ultrasound image quality, history of thyroid surgery or thyroid biopsy, simple cystic nodules, calcification, excessive mass or too small, the S-DetectTM system can not identify the boundary of the tumor, the basic information is incomplete.
- interventionNames
- Device: Ultrasound diagnosis
Primary outcomes (2)
- measure
- Benign or malignant lesions as determined by pathology
- timeFrame
- Before surgery or biopsy
- description
- The pathological diagnosis of benign or malignant lesions from surgery samples
- measure
- Elastic ratio
- timeFrame
- Before surgery or biopsy
Eligibility
Eligibility (as posted)
- Sex
- All
- Minimum age
- 18 Years
Show eligibility criteria text
Inclusion Criteria: 1. Had thyroid lesions detected by ultrasound 2. Age 18 or older 3. Upcoming FNAB or surgery 4. Signing informed consent Exclusion Criteria: 1. Patients who had received a biopsy of thyroid lesion before the ultrasound examination 2. Can not cooperate with the test operation 3. Patients who were pregnant or lactating 4. Patients who were undergoing neoadjuvant treatment.
References
Publications (1)
- RESULTChoi YJ, Baek JH, Park HS, Shim WH, Kim TY, Shong YK, Lee JH. A Computer-Aided Diagnosis System Using Artificial Intelligence for the Diagnosis and Characterization of Thyroid Nodules on Ultrasound: Initial Clinical Assessment. Thyroid. 2017 Apr;27(4):546-552. doi: 10.1089/thy.2016.0372. Epub 2017 Feb 28. PMID 28071987