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

Sponsor
Henan Cancer Hospital
Study ID
NCT07203690
Status
Not Yet Recruiting

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Conditions

Eligibility Criteria

Sex
ALL
Age
18 Years - N/A
Healthy Volunteers
Not accepted

Study Details

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.

Key Dates

First listed
Oct 2, 2025
Start date
Dec 1, 2025
Status verified
Jan 2025
Primary completion
Jan 31, 2027
Completion
Dec 1, 2027

Study Design

Enrollment
7,000 participants (estimated)

Arms

  • Arm: Multimodal AI Esophageal Carcinoma Cohort Protocol
    Efficacy and Prognosis of Different Treatment Modalities for Esophageal Squamous Cell Carcinoma

Primary Outcome Measure

Pathological Complete Response (pCR) Rate [ Time Frame: January 2025 - December 2027 ]

Central Contacts

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