Research on clinical application value of artificial intelligence method in predicting benign and malignant thyroid follicular tumor in ultrasound images

Status

Active, not recruiting

Phases

Early Phase 1

Study type

Observational

Source

ChiCTR

Registry ID

ChiCTR2200058254

Enrollment

Unknown

Registered

2022-04-03

Start date

2022-04-01

Completion date

Unknown

Last updated

2023-12-19

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

Conditions

Thyroid follicular carcinoma

Interventions

Gold Standard:Operative pathology results

Index test:The accuracy of artificial intelligence to distinguish benign and malignant tumors

Eligibility

Sex/Gender

All

Age

18 Years to 85 Years

Inclusion criteria

Inclusion criteria: Patients with thyroid follicular tumor undergoing preoperative ultrasonography.

Exclusion criteria

Exclusion criteria: 1. The thyroid has been removed; 2. Have participated in other clinical studies; 3. Refuse to participate.

Design outcomes

Primary

Measure	Time frame
sensitivity;specifity;accuracy;area under the receiver operating characteristic curve;	—

Countries

China

Contacts

Public ContactZhang Yifeng

Shanghai Tenth People's Hospital

27763289@qq.com+86 13564843665

Outcome results

None listed

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