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Development and Application of AI-Based Therapeutic Strategies for Esophageal Cancer Integrating Multimodal Imaging and Digital Pathology

NCT07203690 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 7000

Last updated 2025-10-02

No results posted yet for this study

Summary

The purpose of this clinical study is to conduct a multi-center, big data study to create a neural network decision model for predicting treatment efficacy and prognosis based on multi-modal, multi-temporal imaging features combined with tumor microenvironment scores. It will also use various model interpretation techniques to clarify the role and mechanism of key biomarkers or strongly associated biomarker groups in treatment efficacy and prognosis. Ultimately, it aims to achieve the research and application of AI treatment strategies combining multi-modal imaging and digital pathology to guide clinicians in the personalized treatment strategies for patients with esophageal squamous cell carcinoma.

Conditions

  • Esophageal Cancer
  • Neoadjuvant Therapy

Sponsors & Collaborators

  • Xinyang Central Hospital

    collaborator OTHER

  • Guangdong Provincial People's Hospital

    collaborator OTHER

  • Henan Cancer Hospital

    lead OTHER_GOV

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
No

Timeline & Regulatory

Start
2025-12-01
Primary Completion
2027-01-31
Completion
2027-12-01

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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 NCT07203690 on ClinicalTrials.gov