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Mechanistic Study on the Diagnosis of Esophageal Cancer Lymph Node Metastasis Using Spectral CT, Multimodal MRI, FAPI PET-CT, Pathology, and AI Evaluation System
Sponsor: Henan Cancer Hospital
Summary
The objective of this study is to address the urgent issues in the diagnosis of lymph node metastasis in esophageal cancer. By employing multimodal MRI, spectral CT imaging and FAPI PET-CTtechniques, the study will correlate lymph node images with postoperative pathology results. Additionally, AI technology will be applied to learn from multimodal imaging data, enabling comprehensive analysis and evaluation of lymph node metastasis. Using a large volume of clinical and imaging data, a predictive model will be established to provide individualized lymph node metastasis risk assessments for each esophageal cancer patient. This will, in turn, offer robust support for personalized treatment strategies in esophageal cancer.
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
400
Start Date
2025-02
Completion Date
2030-12
Last Updated
2025-02-10
Healthy Volunteers
Yes