Clinical Study of Ultrasonic Artificial Intelligence and Fine Needle Aspiration in Qualitative Diagnosis of Thyroid Nodules
Not Applicable
- Conditions
- Thyroid Nodule
- Interventions
- Diagnostic Test: THYROID AI
- Registration Number
- NCT05407506
- Lead Sponsor
- Luo Dingcun
- Brief Summary
To study the value of thyroid artificial intelligence diagnosis system and fine needle puncture in the diagnosis of benign and malignant thyroid nodules, so as to provide evidence-based medical evidence for the diagnosis of benign and malignant thyroid nodules by artificial intelligence.
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- UNKNOWN
- Sex
- All
- Target Recruitment
- 1000
Inclusion Criteria
- (1) Age 18-75 years old, regardless of gender; (2) The nodules were observed with complete transverse and longitudinal standard sections; (3) The nodules were observed and underwent thyroid fine needle aspiration, including cytology and BRAF gene mutation detection; (4) Patients voluntarily entered the study after informed consent.
Exclusion Criteria
- (1) If the observed nodule is less than 2mm or more than 50mm, the artificial intelligence system cannot recognize it; (2) Uncontrolled subacute thyroiditis and hyperthyroidism; (3) Previous thyroid surgery or radiofrequency ablation of thyroid nodules; (4) History of neck trauma.
Study & Design
- Study Type
- INTERVENTIONAL
- Study Design
- SINGLE_GROUP
- Arm && Interventions
Group Intervention Description THYROID AI THYROID AI -
- Primary Outcome Measures
Name Time Method THYROID AI immediately after the procedure classify thyroid nodules as Benign or Malignant
- Secondary Outcome Measures
Name Time Method