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Predicting Tumor Origin Based on Deep Learning of Lymph Node Puncture Cytology

NCT06810349 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 10000

Last updated 2025-02-05

No results posted yet for this study

Summary

In this study, the investigators aimed to construct a deep learning diagnostic model that uses cytological images to predict primary unknown tumor origins in patients with tumors combined with lymph node metastases. After the model is constructed, the model will be validated by a large-scale test set to test the model performance. The investigators also propose to compare the performance of the constructed model in diagnosing cytology smears compared to human pathologists.

Conditions

  • Lymph Nodes With Tumor Metastasis

Sponsors & Collaborators

  • West China Hospital

    lead OTHER

Eligibility

Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2024-11-11
Primary Completion
2025-12-31
Completion
2025-12-31

Countries

  • China

Study Locations

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Read the full study record

This page highlights key information. For complete eligibility criteria, study locations, investigator contacts, and the full protocol, visit the original record on ClinicalTrials.gov.

View NCT06810349 on ClinicalTrials.gov