Clinical Study of Ultrasonic Artificial Intelligence and Fine Needle Aspiration in Qualitative Diagnosis of Thyroid Nodules

Luo Dingcun

Status

Not yet enrolling

Conditions

Thyroid Nodule

Treatments

Diagnostic Test: THYROID AI

Study type

Interventional

Funder types

Other

Identifiers

NCT05407506

ZhejiangU20220602

Details and patient eligibility

About

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.

Enrollment

1,000 estimated patients

Sex

All

Ages

18 to 75 years old

Volunteers

No Healthy Volunteers

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.