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A Deep Learning Model for the Diagnosis of Thyroid Nodules Using Fine-Needle Aspiration Biopsy: A Multicenter Retrospective Clinical Study

A Deep Learning Model for the Diagnosis of Thyroid Nodules Using Fine-Needle Aspiration Biopsy: A Multicenter Retrospective Clinical Study

Status
Active, not recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500098372
Enrollment
Unknown
Registered
2025-03-06
Start date
2025-03-31
Completion date
Unknown
Last updated
2025-03-10

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

Conditions

Thyroid Cancer

Interventions

Observation group:None

Sponsors

West China Hospital of Sichuan University
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: Respectable quality Pap staining pathology pictures; Fine-needle aspiration results of class III and above; Paraffin pathologically confirmed diagnosis of PTC; Complete BRAF and RAS gene mutation information; Complete clinicopathologic information.

Exclusion criteria

Exclusion criteria: Concomitant with other tumors; Paraffin pathology is not PTC, or contains other pathological types other than PTC; Received non-surgical anti-tumor therapy such as iodine-131, radiotherapy, chemotherapy, targeted therapy, immunotherapy and so on before puncture; Comorbid mutations in other genes.

Design outcomes

Primary

MeasureTime frame
Sensitivity;Specificity;Positive Predictive Value, PPV;Negative Predictive Value, NPV;Accuracy;AUC(Area Under the ROC Curve);—

Countries

China

Contacts

Public ContactHan Luo

West China Hospital of Sichuan University

luohan-hx@scu.edu.cn+86 189 8060 5139

Outcome results

None listed

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