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Clinical study of ultrasonic artificial intelligence and fine needle aspiration in qualitative diagnosis of thyroid nodules

Clinical study of ultrasonic artificial intelligence and fine needle aspiration in qualitative diagnosis of thyroid nodules

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2200061242
Enrollment
Unknown
Registered
2022-06-17
Start date
2020-09-01
Completion date
Unknown
Last updated
2023-03-26

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Papillary thyroid carcinoma

Interventions

Gold Standard:Cytological diagnosis + BRAF mutation detection
diagnosis&#32

Sponsors

Affililated Hangzhou First People's Hospital, Zhejiang University School of Medicine
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 75 Years

Inclusion criteria

Inclusion criteria: 1. Age 18-75 years old, gender is not limited; 2. Observe that nodules have a complete horizontal and vertical standard section view; 3. Observed nodules received thyroid fine-needle aspiration, including cytological examination and BRAF gene mutation detection; 4. Patients voluntarily entered the study after informed consent.

Exclusion criteria

Exclusion criteria: 1. The observation nodule 50 mm cannot be identified by the artificial intelligence system; 2. Uncontrolled subacute thyroiditis and hyperthyroidism; 3. Those who have received thyroid surgery or radiofrequency ablation of thyroid nodules in the past; 4. History of neck trauma.

Design outcomes

Primary

MeasureTime frame
sensitivity;specificity;susceptibility;

Countries

China

Contacts

Public ContactLuo Dingcun

Affililated Hangzhou First People's Hospital, Zhejiang University School of Medicine

ldc65@163.com+86 13732225858

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026