A prospective study evaluating fine-needle aspiration samples of thyroid nodules by proteomics and machine learning

Status

Active, not recruiting

Phases

Early Phase 1

Study type

Observational

Source

ChiCTR

Registry ID

ChiCTR2300067713

Enrollment

Unknown

Registered

2023-01-19

Start date

2023-01-19

Completion date

Unknown

Last updated

2023-05-15

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

Conditions

thyroid nodules

Interventions

Gold Standard:Biopsy or surgical pathology results

Index test:The accuracy of proteomics combined with artificial intelligence to distinguish benign and malignant tumors.

Eligibility

Sex/Gender

All

Age

18 Years to 75 Years

Inclusion criteria

Inclusion criteria: 1. Aged 18-75 years old; 2. Primary treatment of patients with thyroid nodules without drug treatment; 3. >= 5 mm in size and underwent fine-needle aspiration of thyroid nodules; 4. Received partial or total thyroidectomy and had histology reports corresponding to FNA nodules; 5. Subjects voluntarily participated in the trial and signed the informed consent.

Exclusion criteria

Exclusion criteria: 1. Unoperated patients; 2. Insufficient sample size for FNA; 3. Refusal of participants.

Design outcomes

Primary

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

Countries

China

Contacts

Public ContactYifeng Zhang

Shanghai Tenth People's Hospital

27763289@qq.com+86 13564843665

Outcome results

None listed

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