FindTrial
Sign In

Deep learning based Ti-RADS grading diagnosis of thyroid ultrasound images

Research on key technology of grade diagnosis of thyroid ultrasound by Ti-RADS based on deep learning

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2200065317
Enrollment
Unknown
Registered
2022-11-02
Start date
2022-11-03
Completion date
Unknown
Last updated
2025-01-06

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

Conditions

Thyroid nodule

Interventions

Gold Standard:Histopathological or immunohistochemical examination of thyroid nodules is the gold standard for the diagnosis of benign and malignant thyroid nodules.
Index test:Convolutional neural network detection model or machine learning for thyroid nodule region.

Sponsors

The Second Affiliated Hospital of Anhui Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
22 Years to 67 Years

Inclusion criteria

Inclusion criteria: Clinical, ultrasound and CT data were complete, surgical or puncture pathology was clear or there were multiple follow-up data.

Exclusion criteria

Exclusion criteria: 1. Co-existing with other tumor diseases; 2. Hashimoto's thyroiditis; 3. Diffuse calcified thyroid nodules; 4. More artifacts affect the image quality.

Design outcomes

Primary

MeasureTime frame
Ultrasound image;Accuracy;Sensitivity;Specificity;—

Countries

China

Contacts

Public ContactWenjun Yao

The Second Affiliated Hospital of Anhui Medical University

979839187@qq.com+86 138 5510 6953

Outcome results

None listed

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