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NCT06831357

Development and Validation of a Deep Learning Model to Predict Distant Metastases in Nasopharyngeal Carcinoma Using Whole Slide Imaging and MRI

Recruiting now Last updated 25 February 2025
What this trial tests

trial in Nasopharyngeal Cancinoma (NPC) in 500 participants. Currently enrolling.

Timeline
15 February 2025
Primary endpoint
31 December 2026
31 December 2026

Quick facts

Lead sponsorSun Yat-sen University
StatusRecruiting now
Study typeOBSERVATIONAL
Enrollment500
Start date15 February 2025
Primary completion31 December 2026
Estimated completion31 December 2026
Sites2 locations across China

Conditions studied

Sponsor

Sun Yat-sen University

Who can join

Eligibility, any sex, with Nasopharyngeal Cancinoma (NPC) or Distant Metastasis. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

An AI model was developed to predict the likelihood of distant metastasis in patients with nasopharyngeal cancer based on pathology slides and MRI scans of the primary tumor. The model was validated using data from multiple centers. It was then applied to patients with advanced stages who were recommended to undergo PET/CT scans based on the NCCN or CSCO guidelines. This AI model can accurately screen patients with high risk of distant metastasis at the time of initial diagnosis to receive PET/CT, avoid excessive examination of patients with low risk of distant metastasis, save medical resources and reduce the economic burden on patients.

Publications & conference data

No peer-reviewed publications indexed yet for this trial.

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Other recruiting trials for Nasopharyngeal Cancinoma (NPC)

Currently open trials in the same condition.

Other Sun Yat-sen University trials

Trials by the same sponsor.

Verify against primary sources

Data sources for this page

Drug Landscape aggregates and links these public records for informational use only. Always verify against the primary source before clinical or regulatory decisions. Canonical URL: https://druglandscape.com/trial/NCT06831357.

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