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Study identifier: NCT06810349 Synced from ClinicalTrials.gov · July 29, 2026
● Recruiting

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

Condition: Lymph Nodes With Tumor Metastasis  ·  Sponsor: West China Hospital

PhaseN/A
Planned participants10000
Who can joinAll sexes, N/A to no upper limit
Healthy volunteersYes

About this study

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.

This description comes directly from the study's public registry record.

Talk to the study team

Jianyong Lei  ·  02885423822  ·  guosiyin2000@163.com

Always discuss trial participation with your own doctor first.

Locations (1)

West China Hospital of Sichuan UniversityChengdu, Sichuan, ChinaRecruiting

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Source record: clinicaltrials.gov/study/NCT06810349