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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

NCT06818214 · Status: NOT_YET_RECRUITING · Type: OBSERVATIONAL · Enrollment: 400

Last updated 2025-02-10

No results posted yet for this study

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.

Conditions

  • Esophageal Cancer

Sponsors & Collaborators

  • Henan Cancer Hospital

    lead OTHER_GOV

Eligibility

Min Age
18 Years
Sex
ALL
Healthy Volunteers
Yes

Timeline & Regulatory

Start
2025-02-28
Primary Completion
2030-01-31
Completion
2030-12-31

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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 NCT06818214 on ClinicalTrials.gov