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Ancillary diagnostic studies of thyroid disease based on Real-time Ultrasound Image Sharing Platform System and Artificial Intelligence Analysis Technology

Ancillary diagnostic studies of thyroid disease based on Real-time Ultrasound Image Sharing Platform System and Artificial Intelligence Analysis Technology

Status
Active, not recruiting
Phases
Early Phase 1
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2000036484
Enrollment
Unknown
Registered
2020-08-23
Start date
2020-10-01
Completion date
Unknown
Last updated
2020-09-14

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

Conditions

Thyroid disease

Interventions

Gold Standard:Diagnosis of paraffin section
Index test:Artificial&#32
Intelligence&#32
ultrasound&#32
diagnosis&#32

Sponsors

Ruijin Hospital, Shanghai Jiao Tong University School of Medicine
Lead Sponsor

Eligibility

Sex/Gender
All
Age
18 Years to 99 Years

Inclusion criteria

Inclusion criteria: (1) Patient aged 18 to 80 years; (2) Meets the definition of a thyroid nodule. (3) Sign the informed consent form.

Exclusion criteria

Exclusion criteria: (1) Incurable cancer (undergoing chemotherapy). (2) Immunosuppressive state (due to organ transplantation or systemic disease). (3) Epilepsy, poisoning, burns, trauma, etc.; (4) Acute cerebrovascular accident, acute coronary syndrome, arrhythmia state, active gastrointestinal bleeding, etc.

Design outcomes

Primary

MeasureTime frame
Ultrasound of thyroid and neck lymph nodes;paraffin section of thyroid and neck lymph nodes;Artificial Intelligence assisted ultrasound diagnosis;

Countries

China

Contacts

Public ContactFei Jian

Ruijin Hospital, Shanghai Jiao Tong University School of Medicine

fj10777@rjh.com.cn+86 189 1670 3777

Outcome results

None listed

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