Mechanistic Study on the Diagnosis of Esophageal Cancer Lymph Node Metastasis Using Spectral CT, Multimodal MRI, FAPI PET-CT, Pathology, and AI Evaluation System

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.

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Key information

Conditions

Esophageal Cancer Digestive System Diseases Digestive System Neoplasms Esophageal Diseases Esophageal Neoplasms Gastrointestinal Diseases Gastrointestinal Neoplasms Head and Neck Neoplasms Neoplasms Neoplasms by Site

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Who can participate

Healthy volunteers accepted: Yes

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

Consecutive patients with pathological diagnosis of esophageal cancer.
Patients underwent radical esophagectomy and lymph node dissection, with preoperative multimodal MRI, spectral CT and FAPI PET-CT ; patients underwent neoadjuvant therapy followed by radical surgery, with preoperative multimodal MRI, spectral CT and FAPI PET-CTboth before and after neoadjuvant therapy.
No history of malignant tumors or cancer-related treatments.
Complete postoperative pathological data, allowing for a one-to-one comparison of preoperative lymph node imaging and postoperative histopathology for evaluation.

Exclusion criteria

Contraindications for MRI, spectral CT or FAPI PET-CT.
Patients who refuse to participate in this study.

Treatment and study plan

Primary outcomes

MRI, spectral CT and FAPI PET-CT combined with AI in prediction of lymph node status in esophageal cancer

Time frame: February 2025 - January 2030

To evaluate the effectiveness of multimodal MRI, spectral CT imaging, and FAPI PET-CT combined with AI in determining the preoperative lymph node status (presence or absence of metastasis) in patients with esophageal cancer, with confirmation through pathological assessment.

Study contacts

Contact information is provided by the study sponsor or research team.

Jinrong Qu

CONTACT

[email protected]

(86) 0371-65587595

Sponsors and collaborators

Lead sponsor

Henan Cancer Hospital

Other Gov

Registry information

Important dates

Study start: 2025
Primary completion: 2030
Study completion: 2030
First posted: Feb 10, 2025
Registry last updated: Feb 10, 2025

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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