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NCT07244094: ARGUS project

A Study on Predicting the Risk of Distant Metastasis in Breast Cancer Using AI-Generated Spatial Pathological Maps

Recruiting now Last updated 17 February 2026
What this trial tests

trial testing Diagnostic Test: AI-Based Spatial Pathomic Analysis in Breast Cancer in 400 participants. Currently enrolling.

Timeline
15 November 2025
Primary endpoint
30 December 2026
7 March 2027

Quick facts

Lead sponsorSecond Affiliated Hospital, School of Medicine, Zhejiang University
StatusRecruiting now
Study typeOBSERVATIONAL
Enrollment400
Start date15 November 2025
Primary completion30 December 2026
Estimated completion7 March 2027
Sites4 locations across China

Drugs / interventions tested

Conditions studied

Sponsor

Second Affiliated Hospital, School of Medicine, Zhejiang University

Who can join

Adults 18 to 95, female only, with Breast Cancer. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

The goal of this observational study is to develop and validate an artificial intelligence (AI) model for predicting the risk of distant metastasis in patients with primary breast cancer. The main question it aims to answer is: Can a multimodal AI model, trained on routinely available histopathological images, accurately predict the long-term risk of breast cancer metastasis? Researchers will analyze existing hematoxylin and eosin (H\&E) and immunohistochemistry (IHC) stained tissue slides from patients who underwent surgery between 2015 and 2025. Clinical data will be used to train the AI model and evaluate its performance in predicting metastasis.

Publications & conference data

No peer-reviewed publications indexed yet for this trial.

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Other recruiting trials for Breast Cancer

Currently open trials in the same condition.

Other Second Affiliated Hospital, School of Medicine, Zhejiang University trials

Trials by the same sponsor.

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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/NCT07244094.

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