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Investigating the diagnostic efficiency of Radiomics and deep learning diagnosis system for thyroid nodules in the context of Hashimoto's thyroiditis

Investigating the diagnostic efficiency of Radiomics and deep learning diagnosis system for thyroid nodules in the context of Hashimoto's thyroiditis

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500097296
Enrollment
Unknown
Registered
2025-02-17
Start date
2025-04-01
Completion date
Unknown
Last updated
2025-02-24

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 +Pathological results
Index test:Ultrasonic AI diagnosis

Sponsors

Affililated Hangzhou First People's Hospital, Westlake University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 80 Years

Inclusion criteria

Inclusion criteria: (1) At least one thyroid ultrasound examination should be performed and images should be kept before surgery; (2) Postoperative pathological diagnosis is Hashimoto's thyroiditis; (3) A thyroid nodule FNA (Fine Needle Aspiration) examination has been conducted in the past; (4) Patients with complete clinical and pathological information.

Exclusion criteria

Exclusion criteria: (1) Subacute thyroiditis or hyperthyroidism that is under control; (2) Patients with a history of thyroid radiotherapy or thyroid surgery; (3) Unsatisfactory image quality; (4) The maximum diameter of the tumor is greater than 5 cm or the minimum diameter of the tumor is less than 3 mm.

Design outcomes

Primary

MeasureTime frame
sensitivity;specificity;accuracy;

Countries

China

Contacts

Public ContactWu Fan

Affililated Hangzhou First People's Hospital, Westlake University

docwf58@163.com+86 178 1686 3432

Outcome results

None listed

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