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Deep Learning Model Predicts Pathological Complete Response of Esophageal Squamous Cell Carcinoma Following Neoadjuvant Immunochemotherapy
Sponsor: Tongji Hospital
Summary
This study aims to develop and validate a deep learning model to predict pathological complete response (pCR) in patients with esophageal squamous cell carcinoma who have undergone neoadjuvant immunochemotherapy. Clinical, imaging, and pathological data from previously treated patients will be collected and analyzed. The model is expected to assist in predicting treatment outcomes and guide personalized therapeutic strategies.
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
300
Start Date
2025-03-01
Completion Date
2026-12-01
Last Updated
2025-07-28
Healthy Volunteers
No
Conditions
Interventions
The high-throughput extraction of large amounts of quantitative image features from medical images
The high-throughput extraction of large amounts of quantitative image features from medical images
Locations (1)
Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology
Wuhan, Hubei, China