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NCT05354674

Multimodal Deep Learning Signature for Evaluation of Response to Bevacizumab in Patient With Colorectal Cancer Liver Metastasis

Not yet recruiting Last updated 13 July 2023
What this trial tests

trial testing Bevacizumab in Colorectal Cancer in 302 participants. Not yet recruiting.

Timeline
1 September 2023
Primary endpoint
1 July 2025
1 July 2028

Quick facts

Lead sponsorFudan University
StatusNot yet recruiting
Study typeOBSERVATIONAL
Enrollment302
Start date1 September 2023
Primary completion1 July 2025
Estimated completion1 July 2028
Sites1 location across China

Drugs / interventions tested

Conditions studied

Sponsor

Fudan University

Who can join

Adults 18 to 79, any sex, with Colorectal Cancer or Liver Metastases. Patients with the condition only — healthy volunteers not accepted.

Sponsor's own description

Establishment and validation of the deep learning signature of bevacizumab efficacy in initially unresectable CRLM patients

Publications & conference data

1 peer-reviewed publication reference this trial (live from Europe PMC):

  1. Deep radiomics-based fusion model for prediction of bevacizumab treatment response and outcome in patients with colorectal cancer liver metastases: a multicentre cohort study.
    Zhou S, Sun D, Mao W, Liu Y, et al · · 2023 · cited 31× · PMID 37869523 · DOI 10.1016/j.eclinm.2023.102271

Verify or expand the search:

Other trials of Bevacizumab

Trials testing the same drug.

Other recruiting trials for Colorectal Cancer

Currently open trials in the same condition.

Other Fudan 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/NCT05354674.

Primary sources · FDA · ClinicalTrials.gov · EMA · SEC EDGAR · ChEMBL · Wikidata · full sourcing