FindTrial
Sign In

Development and multi-center validation of an interpretable machine-learning model for papillary thyroid cancer diagnosis via clinical laboratory indicators

Development and multi-center validation of an interpretable machine-learning model for papillary thyroid cancer diagnosis via clinical laboratory indicators

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2600125383
Enrollment
Unknown
Registered
2026-05-26
Start date
2026-05-26
Completion date
Unknown
Last updated
2026-06-01

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

Conditions

Papillary thyroid carcinoma

Interventions

Papillary Thyroid Carcinoma Group:none
Healthy individuals:none

Sponsors

The Affiliated Hospital of Xuzhou Medical University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
14 Years to No maximum

Inclusion criteria

Inclusion criteria: 1.Underwent surgery for the removal of a thyroid mass; 2.The postoperative pathological diagnosis was papillary thyroid carcinoma. 3.Gender not limited, age = 18 years old; 4. Patients with papillary thyroid carcinoma (PTC) and healthy controls (HC).

Exclusion criteria

Exclusion criteria: 1. Patients whose postoperative pathology showed follicular thyroid cancer, poorly differentiated carcinoma, or other pathological subtypes; 2. Patients without laboratory or pathological data; 3. Patients with multiple primary cancers;

Design outcomes

Primary

MeasureTime frame
Accuracy;specificity;precision;—

Countries

China

Contacts

Public ContactZhao Liu

The Affiliated Hospital of Xuzhou Medical University

Xylzhao9999@163.com+86 516 8335 6673

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Jun 11, 2026